Department of BUSINESS AND MANAGEMENT NCR

Syllabus for
Master of Business Administration
Academic Year  (2023)

 
1 Semester - 2023 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MBA111N BUSINESS AND CURRENT AFFAIRS Skill Enhancement Courses 3 2 100
MBA131N FINANCIAL ACCOUNTING FOR MANAGERS Core Courses 3 3 100
MBA132N MANAGERIAL ECONOMICS Core Courses 3 3 100
MBA133N PRINCIPLES OF MANAGEMENT Core Courses 3 3 100
MBA134N STATISTICS FOR BUSINESS Core Courses 3 3 100
MBA135N ORGANIZATIONAL BEHAVIOUR Core Courses 3 3 100
MBA136N MANAGEMENT OF DIGITAL BUSINESS SYSTEMS Core Courses 3 3 100
MBA181N ORGANIZATION STRUCTURE TRAINING Project 2 2 100
2 Semester - 2023 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MBA211 BUSINESS DOMAIN KNOWLEDGE Skill Enhancement Courses 3 2 100
MBA231 MARKETING MANAGEMENT Core Courses 3 3 100
MBA232 MANAGEMENT OF HUMAN RESOURCES Core Courses 3 3 100
MBA234 FINANCIAL MANAGEMENT Core Courses 3 3 100
MBA235 OPERATIONS MANAGEMENT Core Courses 3 3 100
MBA236 FUNDAMENTALS OF BUSINESS ANALYTICS Core Courses 3 3 100
MBA238 ENTREPRENEURSHIP AND INTRAPRENEURSHIP Core Courses 3 3 100
MBA281 SOCIAL CONCERN PROJECT Project 2 1 50
3 Semester - 2023 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MBA311 FUNCTIONAL DOMAIN KNOWLEDGE Skill Enhancement Courses 3 2 100
MBA332 RESEARCH METHODOLOGY Core Courses 3 3 100
MBA341B BUSINESS DATA MANAGEMENT Discipline Specific Elective Courses 3 3 100
MBA341F SECURITY ANALYSIS AND PORTFOLIO MANAGEMENT Discipline Specific Elective Courses 3 3 100
MBA341H INDUSTRIAL RELATIONS Discipline Specific Elective Courses 30 3 100
MBA341M SALES AND DISTRIBUTION MANAGEMENT Discipline Specific Elective Courses 3 3 100
MBA342B PROGRAMMING WITH PYTHON Discipline Specific Elective Courses 3 3 100
MBA342F MANAGEMENT OF BANKS Discipline Specific Elective Courses 3 3 100
MBA342H TALENT MANAGEMENT Discipline Specific Elective Courses 3 3 100
MBA342M MARKETING RESEARCH AND ANALYTICS Discipline Specific Elective Courses 3 3 100
MBA343B EXPLORATORY DATA ANALYSIS Discipline Specific Elective Courses 3 3 100
MBA343F FINANCIAL REPORTING AND ANALYSIS Discipline Specific Elective Courses 3 3 100
MBA343H LEARNING AND DEVELOPMENT Discipline Specific Elective Courses 3 3 100
MBA343M BUSINESS TO BUSINESS MARKETING Discipline Specific Elective Courses 3 3 100
MBA361M DIGITAL MARKETING Generic Elective Courses 3 3 100
MBA362B ARTIFICIAL INTELLIGENCE FOR MANAGERS Generic Elective Courses 3 3 100
4 Semester - 2022 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MBA431 STRATEGIC MANAGEMENT Core Courses 3 3 100
MBA441BN BUSINESS FORECASTING Discipline Specific Elective Courses 3 3 100
MBA441FN FINANCIAL ECONOMETRIC ANALYSIS Discipline Specific Elective Courses 3 3 100
MBA442BN MACHINE LEARNING ALGORITHMS-I Discipline Specific Elective Courses 3 3 100
MBA442FN BUSINESS VALUATION Discipline Specific Elective Courses 3 3 100
MBA442MN CONSUMER BEHAVIOUR Discipline Specific Elective Courses 3 3 100
MBA443BN BUSINESS INTELLIGENCE AND DATA VISUALIZATION Discipline Specific Elective Courses 3 3 100
MBA443FN DERIVATIVES Discipline Specific Elective Courses 3 3 100
MBA443MN MARKETING METRICS Discipline Specific Elective Courses 3 3 100
MBA444MN STRATEGIC MARKETING MANAGEMENT Discipline Specific Elective Courses 3 3 100
MBA461LN DIGITAL TRANSFORMATION TECHNOLOGIES Generic Elective Courses 3 3 100
MBA462MN FUNDAMENTALS OF SERVICE MARKETING Generic Elective Courses 3 3 100
MBA481N SUMMER INTERNSHIP PROJECT Project 4 4 100
5 Semester - 2022 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MBA531 MANAGEMENT SCIENCE Core Courses 3 3 100
MBA541B BIG DATA ANALYTICS Discipline Specific Elective Courses 3 3 100
MBA541F STRATEGIC FINANCIAL MANAGEMENT Discipline Specific Elective Courses 3 3 100
MBA541M RETAILING MANAGEMENT Discipline Specific Elective Courses 3 3 100
MBA542B MACHINE LEARNING ALGORITHMS-II Discipline Specific Elective Courses 3 3 100
MBA542F FINANCIAL RISK MANAGEMENT Discipline Specific Elective Courses 3 3 100
MBA542M STRATEGIC BRAND MANAGEMENT Discipline Specific Elective Courses 3 3 100
MBA543F FIXED INCOME SECURITIES Discipline Specific Elective Courses 3 3 100
MBA543M ADVERTISING AND PUBLIC RELATIONS Discipline Specific Elective Courses 3 3 100
MBA544B TEXT AND SOCIAL MEDIA ANALYTICS Discipline Specific Elective Courses 3 3 100
MBA561S INTERNATIONAL BUSINESS Generic Elective Courses 3 3 100
MBA562M CUSTOMER CENTRIC DECISIONS IN BUSINESS Generic Elective Courses 3 3 100
6 Semester - 2022 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MBA631 BUSINESS SUSTAINABILITY, GOVERNANCE AND ETHICS Core Courses 3 3 100
MBA641B DEEP LEARNING Discipline Specific Elective Courses 3 3 100
MBA641M NEURO MARKETING Discipline Specific Elective Courses 3 3 100
MBA642F MERGERS, ACQUISITIONS AND RESTRUCTURING Discipline Specific Elective Courses 3 3 100
MBA661F PERSONAL FINANCIAL PLANNING Generic Elective Courses 3 3 100
MBA662L E-BUSINESS Generic Elective Courses 3 3 100
MBA681 MASTER THESIS Project 3 3 150
      

    

Department Overview:

School of Business and Management, CHRIST (Deemed to be University) offers professional, 2-year management programmes leading to MBA degree in the areas of Finance, Marketing, Lean Operations & Systems, Human Resource and Business Analytics.  The MBA Programme functions from all the five campuses of CHRIST (Deemed to be University).

 

The School of Business and Management has well qualified faculty with most having relevant industrial experience.  Well stocked libraries, state-of-the-art laboratories and a repository of learning tools provide for a varied and experiential learning environment.  The School of Business and Management also provides free and easy access to high quality teaching and learning resources such as case studies, journals, databases and simulation games through subscription to reputed publishers. The School offers placement facility to students with an excellent track record so far.  Every year large number of reputed organizations visit our institute for hiring our students from all specializations.

 National and international level conferences for faculties and students, national case study conference, business festivals for students conducted every year are among the highly reputed academic events in the country.

Mission Statement:

Vision statement

Our vision is to be an institution of excellence developing leaders serving enterprises and society globally.

 Mission statement

Our mission is to develop socially responsible business leaders with the spirit of inquiry through academic and industry engagement

Introduction to Program:

The MBA programme consists of six trimesters.  Students move to specialization courses during the last four trimesters.  Most of the courses are of three credits with coverage of 30 hours.

 The course curriculum is designed for academic depth and employability in the industry.  Variety of pedagogy are used in addition to the regular class room teaching, such as case sessions, simulations, management games, laboratories and research based assignments.  Experiential, student centric learning is the highlight of the programme. Co-curricular activities such as organizational study, mentoring and current affairs sessions, book reviews, paper presentation conferences augment the regular classes.  Extracurricular activities hone up the organizing skills and teamwork among the students.

 School of Business and Management has collaborations with Universities such as Virginia Commonwealth University (VCU), USA; Western Michigan University (WMU), USA and University of Applied Sciences (FHWS), Würzburg-Schweinfurt, Germany wherein students are permitted to take approved courses from these Universities and transfer of credits for such courses will be considered for the award of MBA Degree. 

Program Objective:

Programme Outcome/Programme Learning Goals/Programme Learning Outcome:

PLG1: Social Responsibility and Ethical Sensitivity

PLG2: Functional Knowledge and Application

PLG3: Communication

PLG4: Critical Thinking

Programme Specific Outcome:

PSO1: NA

Programme Educational Objective:

PEO1: Graduates possessing subject knowledge, analytical ability and skills to manage businesses

PEO2: Graduates exhibiting spirit of inquiry, innovation and ability to solve problems in dynamic business environment.

PEO3: Graduates with value based leadership skills, entrepreneurial capabilities and global awareness serving enterprises and society.

Assesment Pattern

Assessment

Max Marks

Weightage

CIA1

15

15%

CIA2 (Mid Sem)

25

25%

CIA3

15

15%

Class Participation

15

15%

End Term Exam

50 converted into 30

30%

Total

100

 

Examination And Assesments

The assessment is done through Continuous Internal Assessment, Mid-Trimester Examination and End-Trimester Examination.

MBA111N - BUSINESS AND CURRENT AFFAIRS (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Course Description: This course is offered to MBA students during the first trimester. The course is designed to induct the students into the MBA program from various cultures, perspectives and educational background. The course ensures induction of the students into reading habits related to business, develops curiosity through current affairs and equips the students to benefit from peer learning through a structured mentoring process.

 

Course Objectives: This course enables the students to be equipped with the current affairs knowledge with specific focus on business. This is ensured by habituating the students in the business newspaper reading process enabling them to discuss, critically analyse news in an inquisitive manner. Activities in the course are designed to improve communication and presentation skills of the students.

Learning Outcome

CO1: Inculcate the newspaper reading habit

CO2: Develop inquisitiveness through critical analytical process

CO4: Appreciate various cultures and perspectives

CO5: Develop good communication skills through peer interaction

Unit-1
Teaching Hours:3
Introduction to Economic Indices
 

Basket of currencies, Exchange rates, Inflation, repo rate, reverse repo rate, Oil price, GDP, Stock market

Unit-2
Teaching Hours:6
News Analysis
 

Business, National, International, Technology, Politics, Sports

Unit-3
Teaching Hours:8
Knowledge Point presentations
 

Latest topics from Technology, Business and Economics

Unit-4
Teaching Hours:10
Group Discussions & other activities
 

Topics related to Management, Current affairs and Society, Goal setting with action plan, OST report guidance

Unit-5
Teaching Hours:3
Book Review
 

Management books, Autobiographies, Biographies, Entrepreneurship, Building organizations

Text Books And Reference Books:

NA

Essential Reading / Recommended Reading

NA

Evaluation Pattern

CIA Based

MBA131N - FINANCIAL ACCOUNTING FOR MANAGERS (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Accounting is the language in which the financial information is communicated in the world of business. Managers, irrespective of their functional areas will be either directly or indirectly exposed to the financial information and will have to use them in their decision-making. This course tries to familiarize students with the basics of financial accounting. The course describes the concepts of accounting, its principles, its standards and uses of the accounting information. Ultimately this course discusses preparation of income statement and balance sheet and financial statement analysis. 

Learning Outcome

CLO1 : Understand the fundamentals of financial accounting, the principles and concepts underlying them.

CLO2 : Analyze the effects of transactions on the accounting equation

CLO3: Understand the financial statements and the items appearing therein.

CLO4 : Assess the flow of cash in the business through cash flow statement.

CLO5: Analyze and interpret the financial health of an organization through its financial statements and accounting information.

Unit-1
Teaching Hours:3
Introduction to Accounting
 

 

Forms of business organization, importance of accounting in the information age, users of accounting information; Accounting standards, Concepts, Principles, GAAP, IFRS 

 

Unit-2
Teaching Hours:6
Transaction processing
 

 

Explanation and interpretation of accounting equation; Assets, Liabilities, Equity, Incomes, Expenses, Depreciation, Analyze the effects of transactions on the accounting equation, Rules of debit and credit, Transaction processing, journal, ledger, trial balance

 

Unit-3
Teaching Hours:8
Financial Statements
 

Statement of Profit and Loss and Balance Sheet; Understanding the different items that appear in these two statements; Different Types of assets and liabilities, Non-current assets, liabilities, current assets, liabilities, financial assets, liabilities, inventory

Unit-4
Teaching Hours:7
Cash Flow Statement
 

 

Introduction to cash flow statement, its purpose and structure (indirect method only); Computing Net cash flows from operating activities (using only the indirect method), financing activities and the investing activities; interpreting the cash flow statement.

 

Unit-5
Teaching Hours:6
Analysis of Financial Statements
 

 

Introduction to analysis of financial statements and its purpose; Horizontal (comparative analysis and trend analysis) analyses and vertical (common-size) analysis; Ratio Analysis – Analysis of profitability, liquidity, solvency and capital market standing, Dupont analysis of a company by using its Profit and Loss Account and the Balance Sheet. 

 

Text Books And Reference Books:

Naryanaswamy, R. Financial accounting – A management perspective, (6th ed.). PHI.

Essential Reading / Recommended Reading

1.       Anthony, Robert. (2009), Accounting text and cases. New Delhi: Tata McGraw-Hill Publications.

2.       Bhattacharya, A.B. (2010). Financial accounting for business managers. (3rd Ed.). New Delhi: Prentice Hall of India.

3.       N.Ramchandran., & Kakani. (2010), Financial accounting for management (3rd ed.). Delhi: Tata McGraw-Hill Publications. 

Evaluation Pattern

As per University norms

MBA132N - MANAGERIAL ECONOMICS (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description:  This course is offered in the first trimester to equip students with the art of managerial decision making at the firm level. Managerial Economics introduces students to the concepts of demand, pricing, cost, production, and markets. The course also demonstrates how all these concepts helps the manager in taking optimum and rational decisions.

 

Course Objectives: 

At the end of the course the students will be able:

1.      To make use of the basic and fundamental concepts of managerial economics in making optimal decisions.

2.      To analyze market forces, i.e. demand and supply, and compute the elasticity of demand and supply.

3.      To examine the dynamics of consumer behaviour in the context of scarcity and opportunity cost.

4.      To determine optimum cost and revenue, and break-even sales and quantity, in the short and long run.

5. To evaluate the equilibrium conditions for price, output, and maximisation of profit in different market conditions.

Learning Outcome

CO1: Develop the fundamental concepts of microeconomics used to facilitate the problem of scarcity and resource allocation in the context of choices and opportunity cost.

CO2: Examine the factors determining the Demand and Supply, elasticities and forecasting of demand.

CO3: Analyze consumer behavior with the help of concepts of utility and indifference curve in their pursuit of maximization of satisfaction with limited money income.

CO4: Deduce the cost, revenue, and production functions for business implications.

CO5: Assess the different market conditions, intensity of competition, and conditions for equilibrium in different types of markets like perfect competition, monopoly, monopolistic competition, oligopoly, and duopoly.

Unit-1
Teaching Hours:4
Introduction
 

Introduction to Managerial Economics-Economic Systems-Principles of managerial economics, Integration with other managerial decision-making process-Tools and analysis of optimization-role of Government, Competition Vs Cooperation. Relationship with other management subjects.

Unit-2
Teaching Hours:6
Demand and Supply Analyses (Application)
 

Definition of demand, Law of demand and its determinants and exceptions, movement along the demand curve and shift in demand curve. Demand and supply relationship*. Definition of supply, Law of supply, Movement along the supply curve and shift in supply curve, Factors affecting supply, Market equilibrium and pricing, floor price and ceiling price. Application of demand and supply analyses: Concepts of elasticity, degree, determinants & types, practical implication, Relationship of Revenue and elasticity of demand, Demand forecasting and its use in demand. Qualitative and Quantitative interpretation of demand techniques-model specification using regression and OLS.

Unit-3
Teaching Hours:6
Consumer Behaviour (Application)
 

Introduction to Consumer behavior, Utility, Cardinal approach, Ordinal approach, Consumer’s equilibrium using Indifference curve analysis and Consumer surplus, Application of Indifference curve analyses.

Unit-4
Teaching Hours:5
Analyses of Production, Costs and Revenues
 

Production functions, Law of Variable proportions, returns to scale and economies of scale. Producers’ surplus-   Costs, Isoquants, least cost combination types of costs, short run costs and long run cost, Revenue Analysis –TR, AR and MR, and break-even analysis, (case study) 

Unit-5
Teaching Hours:9
Market structures and decision making
 

Market types, characteristics, Perfect competition features, Price determination and equilibrium in the short run and the long run, Monopoly - features, equilibrium condition, Price discrimination. Monopolistic competition- features, Oligopoly - Cartels as one of the features of Oligopoly, Game theory-types, static and dynamic games-Pricing Strategy (Case study), Sustainability business model- Circles of Sustainability.

Text Books And Reference Books:

Mankiw, N Gregory. (2020) Principles of Micro Economics (9th Edition) Cengage Learning 

Essential Reading / Recommended Reading

1. D.N. Dwivedi (2021) Managerial Economics (21st Edition) S. Chand Publications

2. Paul G Keat, Philip Ky Young, Sreejata Banarjee (2016) Managerial Economics (6h Edition), Pearson Publications.

Evaluation Pattern

CIA1 - 15 Marks

CIA2 - 25 Marks

CIA3 - 15 Marks

Class Participation - 10 Marks

Attendance - 5 Marks

ESE - 30 Marks

 

MBA133N - PRINCIPLES OF MANAGEMENT (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This is offered as a core course in the first trimester. This course will provide a general introduction to management theories and principles. It also examines the management functions of planning, organizing, staffing and leading and its impact on the businesses.

At the end of the course students should be able:

  • To apply management theories and thoughts in business practices.  
  • To identify different types of plans & policies to devise strategies. 
  • To analyze different types of roles and responsibilities of a manager in the organizations.
  • To list various methods of staffing in the organization.
  • To suggest ethical methods for directing and controlling in organization.

Learning Outcome

CO1: Understand the evolution of management approaches

CO2: Demonstrate planning techniques

CO3: Able to work in dynamic teams within organizations

CO4: Analyze different processes in staffing

CO5: Build the ability for leading and become adaptable

Unit-1
Teaching Hours:6
Nature, Purpose and Evolution of Management Thought
 

Management – Nature, Scope and purpose; Managerial levels and skills; Managerial Roles; Management: Science, Art or Profession. 

Ancient roots of management theory; Classical schools of management thought- Scientific Theory, Bureaucratic Management Theoryand Henry Fayol management principles; Behavioural Management Theory- Human Relations Theory (Hawthorne Experiment and Behavioural Science theory), Modern Management theory - Quantitative Theory, Systems Approach, Contingency Approach;. Indian approach to Management. Global management systems & practices

Unit-2
Teaching Hours:6
Planning
 

Types of Plans; Steps in Planning Process; Plan vs Strategies, Policies and Planning; Decision making, Process of Decision Making,; Techniques in Decision Making, Creativity Problem Solving Forecasting- Benefits of Forecasting, Techniques of Forecasting, Limitations of Forecasting & Management by Objectives (MBO), Sustainable Planning- inclusion of SDG in managerial planning.

Unit-3
Teaching Hours:6
Organizing
 

Organizational structure and design; types of organizational structures; Virtual corporations, virtual

 teams, Roles and Responsibilities, Key Elements of an Organizational Structure - Span of control,

 departmentalization, chain of command, work specialization and centralization & decentralization;

 Understanding authority and responsibility, principles of delegation, and reengineering. Industry

 5.0 Organizational Structure

Unit-4
Teaching Hours:6
Staffing
 

·       Human resource planning, Recruitment, selection, training & development, performance appraisal, Workforce Diversity Cross-cultural Communication, Negotiation, compensation and employee welfare., Employee Motivation, Stress and managing employee stress 

Use of Analytics and AI for HR Actions and Talent Management

Unit-5
Teaching Hours:6
Leading and Change Management
 

Leadership concept, leadership Styles, leadership communication, Leadership Development 

Change Management -Concept of change, change as a natural process, Importance & Causes of change, Developing a climate for learning, learning organizations

Challenges of Contemporary Business – Corporate Social responsibility, Managerial Ethics and environment issues.

Text Books And Reference Books:

Heinz Weihrich, Mark V Cannice & Harold Koontz (2019). Management (15th Edition). McGraw Hill Publications.

Stephen P. Robbins, David A. Decenzo, 2016. Fundamentals of Management, Pearson Education, 9th Edition

Essential Reading / Recommended Reading

1.     Daft, R. L. (2016). The new era of management (11th Edition). Cengage Publications.

2.     Prasad, L.M., Principles and practices of management. New Delhi: Sultan Chand & Sons.

3. Stoner, J.F., Freeman, E. R., & Gilbert, D.R. (2013). Management (6th Edition). Pearson Publications.

Evaluation Pattern

Assessment

Max Marks

Weightage

CIA1

15

15%

CIA2 (Mid Sem)

25

25%

CIA3

15

15%

Class Participation

15

15%

End Term Exam

50 converted into 30

30%

Total

100

 

MBA134N - STATISTICS FOR BUSINESS (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This is a common core course offered for 3 credit hours. The course focuses from both conceptual and application perspective, basic statistical methods widely used in business applications. The course gives an introduction to statistical methods needed in data analysis work related to applications in Economics, Finance, Marketing, Operations and Human Resources. Further it enables conceptualization of business problems in statistical terms and enhances understanding and application of fact and evidence-based decision-making process.

Course Objectives: 

At the end of the course the students will be able:

To develop the knowledge of statistics and data visualization.

To apply probability distribution to business data.

To examine sampling techniques in the context of decision-making.

To assess statistical data in order to support fact-based decision-making.

To determine models for analyzing relationships between variables

Learning Outcome

CO 1: Make use of Statistics for appropriate data visualization.

C0 2: Identify probability distributions appropriate to business data

CO 3: Discover sampling techniques suitable for decision-making.

CO 4: Evaluate statistical data to support fact-based decision-making.

CO 5: Estimate models for analyzing relationships between variables.

Unit-1
Teaching Hours:3
Descriptive Statistics
 

  Descriptive Statistics: Statistics Definition, Statistics Application in Business and Economics, 

Data and Data types (Levels of Measurement), Data Visualization.  Measures of Location: - 

Mean, Weighted Mean, Median, Mode, percentiles, Quartiles. Measures of Variability: - Range, 

Interquartile Range, Variance, Standard Deviation, Coefficient of Variation, Skewness and Kurtosis

Unit-2
Teaching Hours:8
Introduction to Probability and Probability Distributions
 

 

Probability - Event algebra*. Conditions of statistical dependence and independence, Types of probability, probabilities under conditions of statistical independence, conditional probability under statistical dependence, Bayes’ theorem and its applications.

 

 

Probability Distributions - Meaning of Probability Distribution, Random variables, Discrete and continuous random variables. Expected value, Use of expected value in decision making, Variance of a random variable. Binomial, Poisson, Uniform, Normal and Exponential distributions and their properties and applications.

Unit-3
Teaching Hours:10
Sampling Methods Estimation and Testing Statistical Hypothesis
 

 

Sampling - Need, benefits and limitations. Probability and Non-probability sampling methods. Sampling distributions, Central Limit Theorem.

Estimation - Point and Interval estimators of mean and proportion - Determining sample size using confidence interval approach.

 

Testing Hypothesis - Concepts basic to hypothesis, null and alternative hypothesis, testing procedure, level of significance, Types of errors. Measuring power of a hypothesis test. Testing of means and proportions for small and large samples, testing of difference between means and proportions for small and large samples.

Unit-4
Teaching Hours:4
Chi-square Test and Analysis of Variance
 

 

Chi-Square test of goodness of fit and test of independence. ANOVA, Multiple comparison procedures.

Inference about population variance. Overview of Analysis of CRD, RBD, LSD, and factorial designs.

t-Test, Chi-square test for Goodness of Fit and independence of attributes, ANOVA using MS Excel.

 

 

 

Unit-5
Teaching Hours:5
Correlation and Regression
 

 

Concept of Correlation - Measure of Correlation & Interpretation. Simple Linear Regression - Form, fitting, prediction, hypothesis testing in linear regression. Residual analysis for validation of assumptions* - normality, homoscedasticity, outliers and influential observations.

 

Correlation and Regression using MS Excel. 

Text Books And Reference Books:

Anderson, D.R., Sweeny, D.J., Williams, T.A., Camm, J.D., Cochran, J.J. (2017). Statistics for business & economics, 13thEdition. Boston: Cengage Learning.

Essential Reading / Recommended Reading

1.  Levin, R.I., Rubin, D. S., Rastogi S., Siddiqui, M.H. (2017).Statistics for management. New Delhi: Prentice Hall India Publications.

 

 2. Doane, D. P., & Seward, L. W. (2017). Applied statistics in business and economics. New York, NY: McGraw-Hill.

3. McClave, J. T., Benson, P. G., Sincich, T., & Sincich, T. (2017). Statistics for business and economics. Pearson

Evaluation Pattern

CIA 1- 15 Marks

CIA 2- 25 Marks

CIA 3- 15 Marks

Class Participation- 10 Marks

Attendance- 5 Marks

ESE- 30 Marks

MBA135N - ORGANIZATIONAL BEHAVIOUR (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: The course is offered as a mandatory core course for all students in Trimester II.  The course introduces students to a comprehensive set of concepts and theories, facts about human behaviour and organizations that have been acquired over the years. The subject focuses on ways and means to improve productivity, minimize absenteeism, increase employee engagement and so on thus, contributing to the overall effectiveness. The basic discipline of the course is behavioral science, sociology, social psychology, anthropology and political science.

Course Objectives: To make sense of human behaviour, use of common sense and intuition is largely inadequate because human behaviour is seldom random. Every human action has an underlying purpose which was aimed at personal or societal interest. Moreover, the uniqueness of each individual provides enough challenges for the managers to predict their best behaviour at any point of time. A systematic study of human behaviour looks at the consistencies, patterns and cause effect relationships which will facilitate understanding it in a reasonable extent. Systematic study replaces the possible biases of intuition that can sabotage the employee morale in organizations.

Learning Outcome

CLO1: Determine the individual and group behavior in the workplace

CLO2: Assess the concepts of personality, perception and learning in Organizations.

CLO3: Analyze various job-related attitudes.

CLO4: Design motivational techniques for job design, employee involvement, incentives, rewards & recognitions.

CLO5: Manage effective groups and teams in organizations

Unit-1
Teaching Hours:5
Introduction to Organizational Behaviour
 

Historical Development, Behavioural sciences and Organizational behaviour, Meaning, Importance, Basic concepts, methods and tools for understanding behaviour, Challenges and Opportunities, OB model, ethical issues in organizational Behaviour.

Cross-cultural management, managing multicultural teams, communicating across cultures, OB in the digital age.

Unit-2
Teaching Hours:10
Individual Behaviour: Personality, Perception and Learning
 

Personality:  Foundations of individual behaviour, Personality, Meaning and Importance, Development of personality, Determinants of personality, Theories of personality, Relevance of personality to managers.

Perception: Nature, Importance and Definition of Perception, Factors involved in perception, The Perceptual Process, Perceptual Selectivity and Organization, Applications in Organizations.

Learning: Definition and Importance, Theories of learning, Principles of learning, Shaping as managerial tool

Unit-3
Teaching Hours:6
Attitudes, Values & Job Satisfaction
 

Attitudes: Sources and types of attitudes, Attitude formation and change, Cognitive Dissonance Theory. Effects of employee attitude, Job related attitudes

Values: meaning, importance, source and types, and applications in organizations.

Job satisfaction: Measuring Job Satisfaction, Causes of Job Satisfaction, impact of satisfied and dissatisfied employees on the workplace.

Unit-4
Teaching Hours:5
Motivation
 

Meaning, process and significance of motivation, Early Theories of motivation: Hierarchy of Needs, Theory X Theory Y, Two Factor theory, McClelland Theory of Needs, Contemporary Theories of Motivation: Goal Setting theory, Self-Efficacy theory, Equity theory/Organizational justice, Expectancy theories, Motivation theories applied in organizations: Job design, employee involvement, rewards and global implications

Unit-5
Teaching Hours:4
Groups & Teams
 

Groups – Meaning, classification and nature of groups, Stages of group development, an alternative model for Temporary Groups with punctuated equilibrium model, Group properties: Roles, Norms, Status, Size and Cohesiveness, Group decision making.

Teams -Meaning of teams, Types of teams, Creating Effective teams, what makes individuals into effective team players, Team development, Team decision making.

Text Books And Reference Books:

Robbins, S P., Judge, T A and Vohra, N (2016).  Organizational Behavior. 16th Edition, Prentice Hall of India.

Essential Reading / Recommended Reading
  1. Luthans, F., Luthans, B.C & Luthans, K.W. (2015). Organizational behavior: An evidence based approach. 13th ed. Information Age Publishing, Incorporated.
  2. Greenberg, J. & Baron, R. A. (2009). Behavior in Organizations. Prentice Hall of India.  
  3. Helriegel, D., Slocum, J.N., & Woodman, R. W. (2009). Organizational behavior. McGraw Hill.
  4. Hodegetts, R. M. (2009). Organizational Behavior. Macmillan.
  5. Udai Pareek. (2012). Understanding Organizational Behavior. (Revised and updated by Sushma Khanna). Oxford University Press.
Evaluation Pattern

Assessment

Max Marks

Weightage

CIA1

15

15%

CIA2 (Mid Sem)

25

25%

CIA3

15

15%

Class Participation

15

15%

End Term Exam

50 converted into 30

30%

Total

100

 

MBA136N - MANAGEMENT OF DIGITAL BUSINESS SYSTEMS (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description:  This is a core paper offered in first trimester of MBA program. The course provides a comprehensive foundation for understanding the scope of information systems in a business environment. It covers the fundamental concepts of information, digitalization, and related technologies. Apart from this, the course also includes aspects pertaining to strategy and innovation, Information system management, development and operations including security. Latest IS paradigms like Unstructured Database, OLAP, Artificial Intelligence, Machine Learning, Cloud, IoT, Blockchain etc. are given an exposure in the course. Ethical issues and sustainability aspects such as Green IT are addressed in the course. Additionally, use of IS and IT for societal good and nation building are also bought to students’ attention through the topics of Smart Cities, E-Governance etc.

Course Objectives: 

1.To assist in identifying the factors of information systems that interact with the organisation.

2.To enable application of concepts in managing and developing secure information systems for organisational competitiveness.

3.To facilitate analysis of applicability and value of enterprise information systems in a dynamic business environment.

4.To enable working knowledge of data management components in business scenarios.

5.To assist in identifying managerial implications of implementing disrupting technologies in organizations and associated ethical issues.

 

Learning Outcome

CLO1: Identify the factors of information systems that interact with the organization.

CLO2: Apply concepts in managing and developing secure information systems for organizational competitiveness.

CLO3: Analyse the applicability and value of enterprise information systems in a dynamic business environment.

CLO4: Apply working knowledge of data management concepts in business scenarios.

CLO5: Identify managerial implications of implementing disrupting technologies in organizations and associated ethical issues.

Unit-1
Teaching Hours:3
Introduction and Overview
 

Information Systems vs Information Technology, Interaction Model for Managing Information Systems. DIKW hierarchy, Information as a Resource, Information in Organizational Functions, Types of Information Technology. 

Unit-2
Teaching Hours:6
Managing & Developing Information Systems, Innovation & Strategy
 

Business Innovations with IT, Using IT for Competing, Information Goods, Information Systems & Competitive Strategy. Vendor Management, Role of CIO, IT Governance, Challenges for the Manager, IT Infrastructure Decisions. Business Process Analysis Overview, Business Process Integration, Life Cycle Models, Introduction to Software Project Management. Overview of IT Security, Basics of IT Operations and Lean IT.

Unit-3
Teaching Hours:5
Information Systems for Business
 

Enterprise Business Applications, Overviews of ERP, Supply Chain Management System, CRM, International Information Systems. OLTP, OLAP, DSS, Analytics and Business Intelligence, Knowledge Management Systems. RPA, OCR.

Unit-4
Teaching Hours:6
Managing Data Resources
 

Challenges of Data Management, Database Concepts – Structured and Unstructured, Database Elements, E-R Diagrams, SQL. Practice of SQL, Query by example. Data Warehouses, Data Lake, Data Hub, Data Catalog, Data Mining, Big Data, Data Centre concepts.

Unit-5
Teaching Hours:10
Disrupting Technologies, Sustainability, Ethics and Emerging Trends
 

Artificial Intelligence, Machine Learning, AI & ML - Implications for Managers. Cloud Computing and Services, Virtualization; IoT; Blockchain. Green IT, Ethical Issues, Dark Side of IT, Social Issues of Technology, ICT for National Development, E-Governance Concepts, Smart Cities. Industry 4.0, Service 4.0, Autonomous Robots, Virtual Reality, Augmented Reality, 3D Printing, Wearables Technology, Bionics. Current developments and trends.

$ Including practical sessions on SQL and Query by Example.

* Self Learning Topics/Module

 

Text Books And Reference Books:
  1. De, R. (2018). Managing Information Systems in Business, Government and Society (2nd ed.). Wiley India Pvt. Ltd
Essential Reading / Recommended Reading
  1. Bidgoli, H., Chattopadhyay, N. (2016). Management Information Systems – A South-Asian Perspective. CENGAGE Learning
  2. Laudon, K., Laudon, J. (2018). Management Information Systems – Managing the Digital Firm (15thed.). Pearson Education. 
  3. Hoffer J.A., Ramesh V., &Heikki T. (2017). Modern database management (12th ed.). Pearson Education.
  4. Singh A.N., Singh A. (2018). Lean IT – Principles to Practice (1st ed.): Notion Press.
  5. Johnson, B.(2013, 27 October).  How Data Centers Work. HowStuffWorks.com. Retrieved from https://computer.howstuffworks.com/data-centers.htm (Last accessed on 6th July 2021)
  6. Tapscott D., Tapscott A. (2018). Blockchain Revolution (2nd ed). Portfolio Penguin
Evaluation Pattern

CIA-1

15 marks

CIA-2 (Mid Term Examination)

 

25 marks

CIA-3

15 marks

Class Participation

15 marks

End Term Examination

30 marks

MBA181N - ORGANIZATION STRUCTURE TRAINING (2023 Batch)

Total Teaching Hours for Semester:20
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Course Description: This course is undertaken by the students as a self-study project.  The project is carried out by the students for one month before joining the MBA program and is evaluated during Trimester I. It will be an organizational study in a manufacturing-oriented, large organization for a minimum of thirty days.

Learning Objectives

At the end of the course, students should have the knowledge and application of

●Vision, mission and objectives of business organization

●Organizational structure in business organizations

●Business functions in a business firm

●Organization type  the business under study fits in

●SWOT analysis for a business organization

●Key Result Areas of a business organization

●Business growth over years with appreciation of enablers and barriers

 

Learning Outcome

CLO1: Determine the individual and group behavior in the workplace

CLO2: Assess the concepts of personality, perception and learning in Organizations.

CLO3: Analyze various job-related attitudes.

CLO4: Design motivational techniques for job design, employee involvement, incentives, rewards & recognitions.

CLO5: Manage effective groups and teams in organizations.

Unit-1
Teaching Hours:5
Chapter 1: Introduction to Organization
 

Organization’s history, Vision, Mission, objectives and strategies of the organization, Key Result Areas (KRAs) of the organization

Unit-2
Teaching Hours:5
Chapter 2: Organization Structure
 

Organization chart – Design & Structure, Advantages and drawbacks of the organization structure, Policies and procedures followed

Unit-3
Teaching Hours:5
Chapter 3: Functional Departments
 

Functions of various departments and their managers, System of accounting followed, Profile of the products, Product promotional measures, Career planning and promotion policy of employees, Training measures, HRD measures (including welfare measures), Manpower planning, Performance appraisal system, System followed for purchase of materials, Views of managers at various levels and non-managerial staff by detailed interactions

Unit-4
Teaching Hours:5
Chapter 4: SWOT Analysis of Company and Industry
 

SWOT analysis of the organization, Significant factors for success, Recommendations to overcome the drawbacks and seize opportunities

Unit-5
Teaching Hours:5
Chapter 5: Functional Highlights across Key Result Areas
 

Financial performance, Financial highlights during the last three years, Marketing performance etc., over the years, Future plans for growth of the organization

Unit-6
Teaching Hours:5
Chapter 6: Findings, Recommendations and Conclusions
 

Modifications, if any, to the organization structure, observations on the operations of the organization

Text Books And Reference Books:

1.Harold Koontz and Heinz Weihrich. Principles of management. TataMcGraw Hill.

 

Essential Reading / Recommended Reading

1.Meenakshi Gupta. Principles of management. PHI.

2.Tripathi and Reddy. Principles of management. Tata McGraw Hill.

3.Interaction with company people

4 .Website of organization

 

Evaluation Pattern

OST Quiz (10)

Number of topics studied (10)

Mapping the organization to its type (10)

Interaction with Mentor (10)

OST Completion Certificate (10)

SWOT Analysis (10)

No of Days of OST Work (10)

Presentation (15)

Report (15)

 

MBA211 - BUSINESS DOMAIN KNOWLEDGE (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:2

Course Objectives/Course Description

 

This course is offered to MBA students during the second trimester. The course is designed to familiarize students with business terms and updates through significant developments in the corporate world. The course also enables students to reflect on their personal values and work on their self-development. It gives opportunity for the students to identify their strength areas and work towards their area of Specialization in MBA.

Course Objectives: This course develops a futuristic thinking for the students to identify themselves with a specific area of Specialization and a career goal. Students get exposure to various business terms and develop an aptitude towards management thinking.

Learning Outcome

CLO1: Familiarize with business terms through news analysis

CLO2: Develop a futuristic thinking by exploring possibilities of entrepreneurship

CLO3: Develop professional skills through presentations

CLO4: Develop management thinking

CLO5: Identify strength areas through business discussions

Unit-1
Teaching Hours:6
News Analysis
 

Business, National, International, Technology, Politics, Sports

Unit-2
Teaching Hours:8
Industry presentations
 

Latest topics from Technology, Business and Economics, Visit to Industry

Unit-3
Teaching Hours:10
Career Building
 

Entrepreneurship & Startup, Exposure to Domains

Unit-4
Teaching Hours:3
Vision 2030
 

Topics related to Science, Environment, Business, Society, Government, Technology

Unit-5
Teaching Hours:3
Social Concern Project
 

Identify projects, Report writing

Text Books And Reference Books:

NA

Essential Reading / Recommended Reading

NA

Evaluation Pattern

*

MBA231 - MARKETING MANAGEMENT (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This is a core course offered in the Second trimester to students across all specializations. Students learn various aspects of Marketing in terms of concepts, strategies, opportunities and challenges. This course attempts to enable students to apply relevant theories and concepts to various aspects of doing business, and to deal with global firms and competition in domestic market. This course will provide a general introduction to marketing management and a brief outline on the basic concepts in marketing.

Course Objectives: 

At the end of the course, students should be able:

  1. To identify the Macro and Micro marketing environment and its impact on Business sectors.
  2. To apply the bases of Segmentation, Targeting and Positioning.
  3. To utilize the factors influencing Consumer and Business markets for buying decisions.
  4. To analyze the strategies for Product and Price mix.
  5. To recommend Promotional and Distribution mix strategies.

Learning Outcome

LCO1: Identify the Components of Macro and Micro marketing environment and indicate their impact on various Business sectors.

CLO2: Apply the Basis of Segmentation, Targeting and Positioning for Consumer market and Business market.

CLO3: Utilize the factors influencing Consumer and Business market for buying decisions.

CLO4: Analyze the Product and Pricing strategies and its impact on global business communities.

CLO5: Recommend Promotion and Distribution strategies to operate effectively in a multi-cultural economic and legal environment.

Unit-1
Teaching Hours:4
Introduction to Marketing
 

Importance and Scope of Marketing, Core marketing concepts; Company Orientations; analysing the Marketing Environment, Components of Environment- Macro environment and Micro environment.

Unit-2
Teaching Hours:6
Market Segmentation, Targeting & Positioning
 

Levels of Segmentation; Bases for Segmenting Consumer and Business Markets; 

Market Targeting, Developing and Communicating a Positioning Strategy.

Unit-3
Teaching Hours:6
Consumer & Business markets
 

Factors influencing Consumer Behaviour; Buying Decision Process; Theories of Consumer Decision Making. Organizational Buying; Participants in the Business Buying Process; Stages in the Buying Process; Institutional and Government Markets; Managing Relationships.

Unit-4
Teaching Hours:6
Product & Pricing strategy
 

Product Levels: Classifying products; New product development, Product Line, Mix; Product Life cycles.

Pricing Environment: Consumer Psychology & Pricing; Pricing methods; Setting Price; Price Adaptations; Initiating Price Changes; Responding to Competitors’ Price Changes

Unit-5
Teaching Hours:8
Place, Promotion & CSR
 

Marketing channels and Value Networks: The role of Marketing channels; Channel Design Decisions; Channel Management Decisions; Channel Integration and Systems.

Marketing Communications Mix: WOM, IMC, Cultural aspects of Marketing Communication; Advertising, Sales Promotion, Personal Selling, Direct Marketing; Public Relations. Corporate Social Responsibility & Ethics in Marketing.

Text Books And Reference Books:

Philip Kotler , Keven Lane Keller, Marketing Management (2017) 15th Ed, Pearson, New Delhi

Essential Reading / Recommended Reading
  1. Philip Kotler , Hermawan Kartajaya, Marketing 5.0: Technology for Humanity (2021), 1stEd, Wiley
  2. Ramaswamy V.S. & Namakumari,  Marketing Management: Indian Context (2018), 6thEd, McGraw Hill, New Delhi
Evaluation Pattern

*

MBA232 - MANAGEMENT OF HUMAN RESOURCES (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: course is an introduction to the human resources function and related elements and activities. The course outlines the roles and functions of members of the human resources department, as well as educating others outside human resources, in how their roles include human resources-related activities. The student will learn about the evolution in human resources management as we know it today. Emphasis is placed on the modern-day importance of HRM and the new “corporate view” of the function. Additionally, the student will be exposed to the view of HRM from the perception of both management and subordinate employees. The importance of maintaining fair and equitable compensation and benefit programs will be discussed. The student will be exposed to practical situations and problem solving, regarding areas of employee counseling, discipline and termination. Other critical areas of training and development, staffing and strategy will also be explored.

Course Objectives: This course attempts to integrate the understanding of the human resources management framework with the management best practices, tools and models

Learning Outcome

CLO1: to understand the basic concepts of human resource management

CLO2: to create job description and job specification for a specified job

CLO3: to analyse the process of acquiring and retaining talent

CLO4: to evaluate the development initiatives

CLO5: apply the new dimensions in employee employer relations at workplace

Unit-1
Teaching Hours:4
Human Resource Management
 

Concept: Meaning, Objectives, Scope, Functions, models of HRM, Strategic HRM, Human Resource Management A sustainability perspective. Human Resource Management in India: An overview, skills and competencies of HR professionals Overview of ethical choices in HRM and expected professional standards 

Unit-2
Teaching Hours:4
Human Resource Planning, Job Analysis and Design
 

Definition, Objectives scope and importance, Methods of forecasting, Job analysis – objectives, process and methods, job description, job specification, job evaluation and job design.

Unit-3
Teaching Hours:4
Recruitment, Selection, Socialization and Retention
 

Meaning and objectives, sources and constraints of recruitment, Selection process, Methods of selection, reliability and validity of test, meaning and importance of socialization, methods of socialization and retention of employees Ethical dilemmas in recruitment and selections, promotions and transfers. Employee privacy and confidentiality in testing

Unit-4
Teaching Hours:12
Human Resource Development
 

Meaning, Objectives and scope of human resource development                             

Training :Orienting and on boarding new employees, aligning strategy and training, the ADDIE five step model , conducting the training need analysis , Designing the training program , developing the Programme ,Implementing the Training Program, Management Development Programme, Evaluation of training effectiveness Current trends in training

Performance Management and Appraisal :                                                  

Meaning, Objectives, scope & purpose, Appraisal process, methods for evaluating performance, problems & challenges in appraisal, Fairness and equity in performance appraisals. Current trends in performance management 

Compensation                                                                       

Definition and objectives, Basic factors in determining pay rates, Job evaluation methods how to create a market – competitive pay plan , Executive compensation , broad banding  individual employee incentive, and recognition programme ,incentives for sales people , benefits Recent trends in wage and administration    

Unit-5
Teaching Hours:6
Industrial Relations- Basic Concepts
 

Meaning and importance of industrial relations, Trade unions, Collective bargaining and Workers’ participation in management.

 

Text Books And Reference Books:

Dessler, G & Varkey,B. (2018).Human resource management. 15 Edition  Pearson

Essential Reading / Recommended Reading

1.      Camen, M M., Croucher, R & Leigh, S (Eds)(2011). Human resource management:  A case study approach. India: Jaico.

2.      Decenzo, D A & Robbins, S P (2011). Human resource management, John Wiley & Sons.

3.      Fisher, C D., Schoenfeldt, L F & Shaw, J B (2011). Human resource management, Biztantra.

4.      Mathis, R L & Jackson, J H (2000). Human Resource Management, 9th ed, South Western: Thomson Learning Publications.

5.      Rao, V S P (2000). Managing people. Amexcel Publisher.

6.      Snell, S & Bohlander,G (2009). Human resources management: A South Asian perspective. India: Cengage Learning.

Evaluation Pattern

*

MBA234 - FINANCIAL MANAGEMENT (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This is an introductory course designed to help students understand the basic concepts of Financial Management. Apart from concepts like Time Value of Money, Cost of Capital, Capital Structure, etc, tools of financial decision making for Capital Budgeting, Working Capital Management, Dividend Policy, etc are also covered in this course. This course helps the students understand how financial theory translates into practical decision making.

Learning Outcome

CLO1: Apply the time value concepts for basic financial decision making.

CLO2: Evaluate the impact of cost of capital in financing decisions and design the optimum capital structure for a business or a project.

CLO3: Appraise projects using capital budgeting techniques.

CLO4: Analyse the impact of different kinds of dividends on shareholder wealth.

CLO5: Evaluate working capital effectiveness of a firm.

Unit-1
Teaching Hours:9
Overview of Financial Management and Time Value of Money
 

Introduction to Financial Management, Meaning of Finance, Economics and Accounting, Goal of Financial Management and the three decisions - investing, financing and dividend, Corporate Finance, Capital Markets and Investments, Business Ethics and Corporate Governance, Agency problems - Managers v/s Stockholders, Agency problems - Stockholders v/s Bondholders

Time value of money - timelines, interest rate, number of periods, cash flows Future values - single cash flow, multiple cash flows, uneven cash flows Present values - single cash flow, multiple cash flows, uneven cash flows Annuity, annuity due Time value of money - perpetuities, fractional time periods, quoted rate v/s effective rate, loan amortisation schedule Time value of money - applied problems

Unit-2
Teaching Hours:5
Cost of Capital
 

Cost of Capital: pre and post -tax cost of debt, cost of preferred stock Cost of retained earnings - CAPM, DCF Cost of new common stock, floatation cost, weighted average cost of capital - WACC, book value weights, market value weights, target weights

Unit-3
Teaching Hours:5
Capital Budgeting
 

Basics of Capital Budgeting, meaning of Capital Budgeting, techniques of Capital Budgeting, NPV, Payback period, Discounted Payback period, IRR, MIRR Comparison between different techniques, NPV profiles, Cross -over rate, decision criteria used in practice Capital budgeting - applied problems, Cash flow estimation for new projects Replacement projects

Unit-4
Teaching Hours:5
Capital Structure, Leverages and Dividends
 

Capital Structure, book value capital structure, market value capital structure, target value capital structure Leverage – Operating Financial and Total

Dividends v/s capital gains, other dividend policy issues, establishing the dividend policy in practice Factors influencing dividend policy, stock dividends Share Repurchases

Unit-5
Teaching Hours:6
Working Capital
 

Working Capital Management, Financial Planning and Forecasting, meaning and types of working capital, Current Assets financing policies Inventory Conversion, Collection period, Payables deferral period, Cash conversion cycle Effective cost of credit

Text Books And Reference Books:

Fundamentals of Financial Management, Brigham and Houston, Cengage, 13th edition (Indian)

Essential Reading / Recommended Reading
  1. Brealey.,& Myers., Principles of corporate finance (710h ed.). Tata McGraw Hill Publications
  2. Financial Management: Theory and Practice, Prasanna Chandra, McGraw Hill, 10th edition
Evaluation Pattern

*

MBA235 - OPERATIONS MANAGEMENT (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This is a core paper offered in second trimester of MBA degree. This course provides students, insights related to Strategy, Planning, Manufacturing and Control aspects of Operations. It prepares students for careers in Planning, Production and Control functions in Manufacturing, as well as, in Service sector. The concepts learnt in this field are applicable to all specializations including, Marketing, Human Resources, Finance, Business Analytics, Lean Operations and Systems, and also in other fields.

Course Objectives: 

At the end of the course, students should be able:

  1. To enable comprehension of operations strategy design process in a competitive environment.
  2. To facilitate examination of decision-making methods for layout, location, and line balancing in manufacturing setup.
  3. To facilitate examination of inventory patterns and models for optimizing value in a supply chain.
  4. To determine the root causes of quality defects through statistical and non-statistical methods.
  5. To enable comprehension of emerging areas in lean, sustainability, and project management

Learning Outcome

CO1: Identify the factors influencing operations strategy in a competitive environment.

CO2: Analyze process flows, layout designs, location criteria and line balancing decisions in manufacturing setup.

CO3: Examine inventory patterns and models for optimizing value in a supply chain.

CO4: Discover the causes of quality defects through statistical and non-statistical methods.

CO5: Outline emerging trends in lean, sustainability, and project management

Unit-1
Teaching Hours:6
Introduction and Operations Strategy
 

Unit I   Introduction and Operations Strategy                                                                                                6 Hours

Introduction, Operations as Service, OM in the organizational chart, systems perspective, current challenges and priorities. Operations Strategy: strategy formulation process, measures for operations excellence, options for strategic decisions, break-even analysis, cost vs flexibility trade-off. Demand Forecasting – developing forecasting logic, data sources, extrapolative methods using time series.

 

Unit-2
Teaching Hours:5
Unit II Planning and Design
 

Unit II   Planning and Design                                                                                                            5 Hours 

Facilities location, process planning premises, process - capacity analysis, process characteristics and flow types, plant layouts, product layout design - line balancing.

Unit-3
Teaching Hours:8
Inventory Management and Supply Chain Management
 

Unit III   Inventory Management and Supply Chain Management                                                  8 Hours 

Inventory planning for independent demand, inventory types, inventory costs, handling demand uncertainty, inventory control systems – continuous and periodic review, selective inventory control – ABC, other classification. Introduction to SCM, Bull whip effect, Push and Pull Systems, Role of Technologies in SCM.

Unit-4
Teaching Hours:6
Quality Management
 

Unit IV   Quality Management                                                                                                          6 Hours

Definitions of quality, TQM, quality management tools, SPC, 7QC tools, Six Sigma – DPMO, DMAIC, process variation, process capability.

Unit-5
Teaching Hours:5
Unit V Project Management and current trends
 

Unit V   Project Management and current trends                                                                                    5 Hours

Characteristics, phases of PM, framework for PM - WBS, Network representation and analysis – CPM. Ethical issues in OM. Lean concepts & Sustainable operations.  

Text Books And Reference Books:

Mahadevan, B. (2015). Operations Management. India: Pearson. 3rd Edition.

Essential Reading / Recommended Reading
  1. Chase, R.B., Jacobs, F.B. & Aquilano, N.J. (2010). Operations Management for Competitive Advantage. New Delhi: Tata McGraw Hill.2
  2. Gaither, N. F.(2002). Production & Operations Management. New Delhi: Thomson Learning Publications.
  3. Stevenson, W. J. (2007). Production and Operations Management, New Delhi: McGraw Hill. 
  4. Lee, K. J., & Larry, R. P. (2002). Operations Management, Processes and Value Chains. New Delhi: Pearson Education Publications.
  5. Buffa, E.S., & Sarin, R.K. (2008). Modern Production/Operations Management. New Delhi:  John Wiley & Sons Publications.
  6. Jay, H., & Barry, R. (2011). Operations Management. New Delhi: Pearson Education Publications.
  7. Russel, R.S., & Taylor, B.W. (2012). Operations Management. New Delhi: John Wiley & Sons Publications.
  8. Chase, R.B., & Ravi Shankar, et al. (2010). Operations and Supply Management. India: McGraw Hill.
  9. Arnold, J.R.T, Chapman, S.N. & Ramakrishnan, R.V. (2007) Introduction to Materials Management. Pearson Education 
Evaluation Pattern

*

MBA236 - FUNDAMENTALS OF BUSINESS ANALYTICS (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This is a three-credit course offered as a Program Core during the second trimester for all MBA students. This course aims to impart the foundational concepts and skills essential for a future manager to understand and manage data, use data for decision making and present the outputs creatively using data visualization techniques. The course further aims to build an understanding of machine learning and the way it is used by organizations.

Course Objectives: 

On having completed this course, the students should be able:

  1. 1.      To apply the basic concepts of Business Intelligence and Data Visualization

    2.      To apply the concepts of business analytics and types

    3.      To analyze the implications of analytics in various functional areas

    4.      To assess concepts of machine learning

            5.      To create machine learning model using tool

Learning Outcome

CLO1: Identify the basic concepts of Business Analytics

CLO2: Identify the concepts of Machine Learning

CLO3: Analyze the implications of Analytics in various functional areas

CLO4: Assess data using visualization tools

CLO5: Evaluate data using simulations through MS-Excel

Unit-1
Teaching Hours:6
Unit I. Business Intelligence and Data Visualization
 

Unit I. Business Intelligence and Data Visualization                                                  6 Hours

                                                

Types of data - structured / unstructured / semi – structured, master or transactional data,  storage of data – data warehouse and data mart. What is BI, BI architecture, BI challenges and limitations, Introduction to Data Visualization,  Visualization best practices, Dashboard, Storytelling, Demonstration to create a Dashboard.

Unit-2
Teaching Hours:6
Introduction to Machine Learning
 

Unit II. Introduction to Business Analytics                                                                  6 Hours

 

Introduction to Business Analytics, Importance of Business Analytics, Benefits and challenges, Role and importance of data, DIKW Framework, CRISP DM Framework - Types - Descriptive, Predictive and Prescriptive Analytics, Ethics in data management.

Unit-3
Teaching Hours:6
Applications of Analytics
 

 

 

Analytics for business decision making, Applications of Analytics in various functional areas – Finance, Marketing, Human Resources and operations.

Unit-4
Teaching Hours:8
Unit IV. Introduction to Machine Learning
 

 

Unit IV. Introduction to Machine Learning                                                               6 Hours

 

Machine Learning - Definition, Types - supervised, unsupervised and reinforcement learning, managerial applications of Machine Learning, Introduction to deep learning

Unit-5
Teaching Hours:7
Building Machine learning models
 

Unit V. Building Machine learning models                                                            6 Hours

 

Model building process, Machine learning model – Multiple Regression and Clustering

Text Books And Reference Books:

Seema Acharya, R N Prasad. (2016). Fundamentals of Business Analytics. 2e. Wiley.

Essential Reading / Recommended Reading
  1. Ramesh Sharda, Dursun Delen and Efraim Turban (2015). Business Intelligence and Analytics: Systems for Decision Support. 10th edition. Pearson 
  2. Introduction to Business Analytics https://michael.hahsler.net/SMU/EMIS3309/slides/Evans_Analytics2e_ppt_01.pdf
  3. Business Analytics and Decision Making https://www.cgma.org/Resources/DownloadableDocuments/business-analytics-briefing.pdf
  4. U Dinesh Kumar. (2017). Business Analytics: The Science of Data: Driven Decision Making, Wiley Publications. 
  5. Wayne Winston (2017). Microsoft Excel 2016 Data Analysis and Business Modelling, 5th Edition
Evaluation Pattern

*

MBA238 - ENTREPRENEURSHIP AND INTRAPRENEURSHIP (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This core course will motivate students on entrepreneurship. The course will discuss on the characteristics of the entrepreneurs, what motivates them and the challenges they face. The course makes students to understand how successful entrepreneurs will think. The effectuation concept will be explored. Further students will learn about the Lean Start-up framework which will allow them to successfully initiate/improve business idea. This course will also focus on developing required competencies to become an innovative, opportunity-driven, market-ready and entrepreneurial manager. 

Course Objectives:

This course attempts to enable students to exercise writing a business plan by applying various concepts of entrepreneurship such as lean, effectuation etc. Understand the requirements in domestic and international context for a startup. Manage suitability and entrepreneurial challenges.

Learning Outcome

CLO1: Analyse critical relationships involving entrepreneurship and economics

CLO2: Discover various opportunities and challenges to become and entrepreneur

CLO3: Appraise the entrepreneurial thinking and lean Startup concepts.

CLO4: Develop a basic knowledge of what is corporate entrepreneurship and how entrepreneurship within a corporation is similar to or different from start-up entrepreneurship.

CLO5: Develop an appreciation for how to apply the entrepreneurial process to the operations of a department or a functional area within a large established organization.

Unit-1
Teaching Hours:6
Introduction
 

Economics perspective on the entrepreneurship, the entrepreneurial society and Institutional changes. Entrepreneurial mindset- Fixed vs growth mindset. 

Unit-2
Teaching Hours:6
Entrepreneurship opportunities
 

Entrepreneur Characteristics, Challenges faced by entrepreneurs. Opportunities for Women Entrepreneurs. Opportunities through Innovations, Social Entrepreneurship, Sustainable entrepreneurship and International Entrepreneurship

Unit-3
Teaching Hours:6
Effectuation and Lean Startup
 

Entrepreneurship process, Principles of effectuation, reasoning, effectuation process. Nature of Lean Startup, Changes created by Lean Startup, Limitations of the Lean Startup method, Customer Development Model.

Unit-4
Teaching Hours:6
Corporate Entrepreneurship
 

Introduction, overview and definition of corporate entrepreneurship - behavioral aspects of corporate entrepreneurship, how to succeed as an intrapreneur – understanding and managing of entrepreneurship process, what an intrapreneurial programme looks like.

Unit-5
Teaching Hours:6
Corporate Venturing
 

Corporate Venturing – strategy and organization - internal and external corporate venturing - organizing and financing corporate venturing - managing corporate entrepreneurial ecosystems - corporate entrepreneurial climate - human resources for entrepreneurial thinking  

Text Books And Reference Books:
  1. Hisrich, R. D, Peters, M.P., Shepherd, D. A., and Sinha, S., (2020). Entrepreneurship (11e).  New Delhi: Tata-McGraw-Hill.
  2. Morris, M.H., Kuratko,D.F., and Covin, J.G. (2011). Corporate Entrepreneurship and Innovation (3e). Cengage Learning.
Essential Reading / Recommended Reading
  1. Tabarrok, A. Entrepreneurial Economics: Bright Ideas from the Dismal Science, Oxford University Press.
  2. Parker, S. (2018) The Economics of Entrepreneurship, Cambridge: Cambridge University Press.
  3. McQuaid, R., Glancey, K. Entrepreneurial Economics, Palgrave McMillan.
  4. Ries, E. (2011). The Lean Startup: How Today's Entrepreneurs Use Continuous Innovation to Create Radical Changes
  5. Technology Entrepreneurship: Taking Innovation to the Marketplace by by Thomas N. Duening, Robert A. Hisrich, Michael A. Lechter, 
  6. Create Radically Successful Businesses. Random House Digital, Inc.
  7. Osterwalder, A & Pigneur, Y. (2010) Business Model Generation: A Handbook for Visionaries,
  8. Effectuation: Elements of Entrepreneurial Expertise, Saras D Sarasvathy, Edward Elgar Publishing Ltd (1 March 2009)
Evaluation Pattern

*

MBA281 - SOCIAL CONCERN PROJECT (2023 Batch)

Total Teaching Hours for Semester:15
No of Lecture Hours/Week:2
Max Marks:50
Credits:1

Course Objectives/Course Description

 

This course attempts to utilise the academic capability and skill of the students of MBA programme to develop and suggest practicable solutions to enduring societal problems prevalent in India. Thus the course inculcates among the students the agility of utilising acquired knowledge to explore strategies to overcome practical problems, while helping them to become a socially aware global citizen.

Course Objectives:

This course attempts to utilize the academic capability and skill of the students of MBA programme to develop and suggest practicable solutions to societal problems while helping the students to become a socially aware global citizen.

Learning Outcome

CO1: ● Conduct preliminary study and analysis of nature and vulnerability of social problems prevalent in India Conduct preliminary study and analysis of nature and vulnerability of social problems prevalent in India. Carry out review of literature regarding the applicability and impact of alternative solution models adopted for different social problems. Pursue a research methodology to develop a practicable solution to societal problems. Explore the concept and viability of social entrepreneurship which the students may pursue as a career path.

CO2: ● Carry out review of literature regarding the applicability and impact of alternative solution models adopted for different social problems.

CO3: ● Pursue a research methodology to develop a practicable solution to societal problems.

Unit-1
Teaching Hours:15
SOCIAL CONCERN PROJECT
 

Course Execution:

  1. This course shall be offered in association with the Centre for Social Action (CSA), Christ University; and they would be providing necessary capability building workshops, training, orientation and guidance programs for both the faculty as well as students.
  2. Further to this CSA would act as a catalyst between the students of the course and the social development organisation or community that requires solutions to the societal problem faced by them.
  3. The course shall be executed through the faculty mentors, who will act as a guide to students. Thus this course would present an opportunity to the faculty as well to contribute to the social service learning.

Each student, in consultation with the respective mentor, has to carry out necessary study, literature review and to prepare a project report to suggest feasible solutions to pre-identified societal problems of various social development organisations.                                 

Text Books And Reference Books:

*

Essential Reading / Recommended Reading

*

Evaluation Pattern

*

MBA311 - FUNCTIONAL DOMAIN KNOWLEDGE (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:2

Course Objectives/Course Description

 

This course is offered during third trimester for MBA students. This course includes readings, presentations, activities, and projects which help students to develop domain knowledge, skills and competency in their chosen area of specialization (Business Analytics, Finance, Human Resources, Marketing, Lean Operations & Systems). Students are expected to read, analyze, reflect, share their knowledge, opinions and views and participate actively in the session discussions. 

Course Objectives:

The objective of this course is to develop knowledge, skill and competence in the chosen area of Specialization that will support the student in building a lasting career in the functional area of their choice. Within the Specialization, identify a ‘’practice area’ for developing deeper level competencies. 

Learning Outcome

CO1: Display beginner-level, discipline-specific knowledge and capabilities in the chosen Specialization

CO2: Identify a practice area within the chosen Specialization for developing ?deep? competencies

CO3: Contextually communicate personal competencies and skills (oral ? GD, Interview, one-minute video pitch; written ? resumes, emails)

CO4: Identify potential internship opportunities (for summer internship, live projects)

Unit-1
Teaching Hours:10
Domain Specific knowledge and competencies
 

Key terms in domain, their meaning, relevance and application. Potential career opportunities and roles in domain, generic competencies for domain, specific competencies for special roles / opportunities

Unit-2
Teaching Hours:5
Practice area knowledge and competencies
 

Key practice areas or sub areas in the domain, competencies associated with each practice area, career opportunities.

Unit-3
Teaching Hours:10
Personal Branding
 

Building a resume, one-minute video pitch, Group Discussion sessions, Interview performance skills

Unit-4
Teaching Hours:5
Identifying internship opportunities
 

Industry / sector specific opportunities, personal networking skills, proactively exploring internship opportunities.

Text Books And Reference Books:

*

Essential Reading / Recommended Reading

*

Evaluation Pattern

*

MBA332 - RESEARCH METHODOLOGY (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description:  This paper is offered as a common core course in the third trimester. The course aims to develop a research orientation among students and thereby making their managerial decision-making process scientific. The course covers all elements of business research process including problem discovery, literature review, research design, data collection, and data analysis using software applications, interpretation and reporting of results. It provides a knowledge base on steps in a research process needed to conceptualize, define, design and execute a business research project.

Course Objectives: 

At the end of the course, students should be able:

1.To identify management problems and convert them into research problems.

2.To choose appropriate research methods based on the research problem.

3.To identify suitable measures and sources of information for literature review and data collection.

4.To construct research instruments for collecting the required data.

5.To recommend suitable courses of action, based on statistical analysis of the data.

Learning Outcome

CO1: Develop the research proposal for the selected research problem.

CO2: Apply different methods of research based on the selected research problem

CO3: Identify suitable measures and sources of information for data collection.

CO4: Construct research instruments for collecting the required data.

CO5: Determine fact-based decisions, based on statistical analysis of the data.

Unit-1
Teaching Hours:3
Introducing Business Research and Proposal
 

Business Research: Concepts, Research skills, types of research, manager-researcher relationship, limitations of research. Research Problem Definition - Problem definition, hypothesis, variables and measurement. Research process, designing a research study, Sampling design, Resource allocation and budgets, Scheduling of projects. Research Proposal:  Purpose, Proposal development, types, structuring the proposal and valuation.

Unit-2
Teaching Hours:6
Research Design & Ethics in Business Research
 

Research design – and overview, the basic stages of research design, classification of research designs – Descriptive, causal, longitudinal, cross – sectional, Experimental and Exploratory. Research in ethics. Ethical treatment of participants, obligation towards sponsors, researchers, team members, and society. Professional standards. Resources for ethical awareness.

Unit-3
Teaching Hours:6
Data Measurement, Sources and Collection
 

Sources of Data: Primary versus Secondary data, Library research, Literature review, use of internet. Data collection design: Qualitative - Focus group discussion, Projective techniques, Depth interview, Observation and Surveys. Measurement: Nature, data types, sources of measurement differences, characteristics of sound measurement, validity and reliability. 

Unit-4
Teaching Hours:6
Scaling & Instrument Design & Experimentation
 

Scaling Design: Definition, classification, response methods, rating and ranking scales, scale construction, arbitrary scale, graphic scale, Itemized rating scales. 

Instrument Design: Types of data collection instruments. Questionnaire construction - structure - content, Wording - sequence, Response strategy, Instrument refining. Experimentation: Nature, Evaluation, Conducting an experiment - Randomized designs - Completely randomized design (CRD) and Randomized block design (RBD). 

Unit-5
Teaching Hours:9
Analysis of Research Data & Report Presentation
 

Overview of hypothesis testing- t-test, F-test, Chi-square test, Correlation, Regression, Discriminant analysis, MANOVA, Factor analysis, Cluster analysis. Report Presentation: Short and long report - Research report components - Report writing – Presentation – oral and written.

Text Books And Reference Books:

Chawla, D., & Sodhi, N. (2016). Research Methodology Concepts and Cases. Vikas Publishing House, New Delhi

Essential Reading / Recommended Reading
  1. Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students. Pearson education. Harlow
  2. Cooper, D., & Schindler, P. (2009). Business research methods (4thed.). New Delhi: Tata McGraw Hill Publications.
  3. Bell, E., Bryman, A., & Harley, B. (2018). Business research methods. Oxford university press.
  4. Zikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. (2003). Business research methods 7th ed. Thomson/South-Western: Appendices.
  5. Field, A. (2016). Discovering statistics using IBM SPSS statistics. Sage
Evaluation Pattern

*

MBA341B - BUSINESS DATA MANAGEMENT (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This is a three-credit course offered as a Functional Core during third trimester for Business Analytics Specialization students. It is an introductory course on Relational Database Management (RDBMS) concepts. The course includes aspects related to database architecture and creation & querying of data. Various concepts of RDBMS will be delivered through lab sessions.

Course Objectives: 

At the end of the course, students should be able:

  1. To identify data and the components of Database Management System
  2. To experiment with Database Model with its relationships
  3. To discover Data Definition and Manipulation using SQL
  4. To evaluate different Databases and its influence in various applications in a global environment
  5. To evaluate knowledge of Query Language using SQL

Learning Outcome

CLO1: Identify Data, Components of Database Management System

CLO2: Identify Relationships in Database Models

CLO3: Examine manipulation methods using SQL along with data definition

CLO5: Evaluate different databases and investigate challenges and opportunities in global communities

CLO6: Evaluate knowledge extracted by querying using SQL

Unit-1
Teaching Hours:6
Database Management Systems- Overview
 

Data vs Information, Traditional Processing Systems, Database approach, Types of databases- Personal, Workgroup, Department, Enterprise, Inter-organizational, Virtual Storage, Functions and components of DBMS, Risks and Advantages of DBMS, Roles and Users of DBMS. Database Models, - RDBMS- Comparison between different data models. Database Architecture, Database Schemas- Logical, Conceptual and Physical, Designing Databases.

Unit-2
Teaching Hours:6
Database Management Design
 

 

Database design strategies, Database structures- Tables, Views, Index. Logical Design vs Physical Design, Entity Relationship Modelling: Entity, Relationship, Cardinality, Types of Keys, Enhanced ER Design, Normalization and de-normalization, Setting up an RDBMS environment. Introduction to Database Languages: DDL, DML, TCL, DCL. 

Unit-3
Teaching Hours:6
Querying and Retrieval
 

Data Definition Language (DDL), Constraints, Integrity constraints, Data Manipulation Language (DML): UPDATE, DELETE, SELECT, Functions and Operators.

Unit-4
Teaching Hours:9
Advanced Querying
 

SELECT with Order BY, GROUP BY, Subqueries: Single row, Multi row; Set Operators, JOINs: Inner JOIN, Outer JOIN

Unit-5
Teaching Hours:3
Database Management-Administration
 

Roles and Responsibilities of Database Administrator, Database Integrity and ACID (Atomicity, Consistency, Isolation and Durability) properties, Transaction Management, Commit and Rollback of Transactions

 

Emerging Trends:  Self Study: Data Centers, Distributed Data Storage, Big Data- Storage and Retrieval, Web, Cloud Databases, Influence of Data Management, - Social-Media, Business, E-Commerce, Retail, Banking etc. Ethics while handling data   

Text Books And Reference Books:

Cengage eBook support- Database Systems: Design, Implementation, and Management, 12th Edition by Carlos Coronel; Steven Morris (2017)

Essential Reading / Recommended Reading

 

A, P. A., Jain, N. R., & Vasgi, B. P. (2021). Database Management System. Technical Publications.

Evaluation Pattern

*

MBA341F - SECURITY ANALYSIS AND PORTFOLIO MANAGEMENT (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

 

This course is offered as a finance elective for the MBA programme. It develops an investment attitude and prepares students for careers in the areas of finance and investment. Students opting for finance specialization would find this course to be important as its applications can be seen while understanding financial markets.

Course Objectives: This course attempts to develop a conceptual and analytical understanding of framework of evaluating financial instruments & markets and inculcates investment intelligence in students. 

Learning Outcome

CLO1: Comprehend the functioning of securities market and its functioning from a global Perspective

CLO2: Compute risk and return of different securities

CLO3: Evaluate Capital market securities that is equity and bond

CLO4: Create optimum portfolios of different securities

CLO5: Appraise Emerging trends in the Securities markets

Unit-1
Teaching Hours:6
Introduction: The Investment Background
 

Overview of the Investment Environment and Investment Process; Organization and Functioning of securities markets - types of markets, issues, orders and trading strategies; securities trading (trading cost, short sales, margin trading); Security market indices - Stock market indices; Bond market indices. The investment setting - What is an investment? The Asset Allocation decision - Individual investor life cycle; the need for a policy statement; Input to the policy statement; constructing the policy statement; the importance of asset allocation, Introduction to Global stock markets

Unit-2
Teaching Hours:6
Risk and Return Analysis
 

Introduction to Risk – Return Trade-off, Measures, Analysis, Determinants of Required Rates of Return and Relationship between Risk and Return, Risk-free rate and its influencing factors and Risk Premium.

An introduction to asset pricing models – Capital Market Theory: An overview; The Capital Asset Pricing Model: Expected return and risk; relationship between Systematic risk and return; Equilibrium and Disequilibrium; Multifactor Models of risk and return – Arbitrage Pricing Theory

Unit-3
Teaching Hours:6
Asset Valuation
 

Equity Valuation Economic Analysis – Macroeconomic activities and security markets, The Cyclical Indicator Approach: Industry Analysis – Business Cycles and industry sectors, Evaluating Industry life cycle, analysis of industry competition and industry rate of returns: Company Analysis, SWOT Analysis; Technical Analysis – Assumption, Advantages, Challenges, Types of Charts, Technical Trading Rules and Indicators

Unit-4
Teaching Hours:6
Portfolio Theory and Practice
 

Introduction to Efficient Market Hypothesis, Random Walk Model, Forms of EMH, Empirical Evidence- Tests and results of EMH; Implications of efficient capital markets;

Introduction to Portfolio Management - Measures of risk, return and utility; Markowitz portfolio Theory; Covariance and correlation of returns; portfolio return; portfolio risk; capital allocation; optimal risky portfolios; index models

Passive Vs Active management; asset allocation strategies; evaluation of portfolio performance –application of portfolio performance measures; Bond portfolio building and evaluation

Unit-5
Teaching Hours:6
Portfolio revision and rebalancing strategies
 

Approaches to portfolio rebalancing, Issues in portfolio rebalancing, Frequency, Extensiveness, Transaction costs, Uses of index and futures funds, Equity Portfolio, Management Strategies, Active management, Dimensions, Optimal residual risk, Benchmark selection, Style, Types, Value, Growth, Size, Management, Rotation, Returns, Inconsistency, Style weights, Style drift, Limitations, Long-short strategies, The Treynor-Black Optimizing Model, Factor models, Contrarian strategies, Within industries, Specialized managers (e.g., REIT managers), Scope of active managers, Alpha sources, Portfolio segmentation techniques, Tracking error optimization, Setting tactical ranges, Market cap issues, Small cap portfolios, Quantitative management, Tax aware equity investing, Costs vs. Benefits of active management, Law Constrained active management, Effect of portfolio size, Passive management, Motivation, Economic impact

Text Books And Reference Books:
  1. Bodie, Kane, Marcus and Mohanty., Investments (10th ed.). Tata McGraw Hill Publications.
Essential Reading / Recommended Reading
  1. Reilly. & Brown. (2012). Analysis of Investments & Management of Portfolios (12th ed.). CENGAGE Learning.
  2. Chandra, Prasanna. (2008). Investment analysis and portfolio management. New Delhi: Tata McGraw – Hill Publications. 
  3. Fischer.,& Jordan., Security analysis and portfolio management. Prentice Hall Publications.
  4. Bhalla, V. K., Investment management, S. Chand & Co Publications.
  5. Kevin S.(2008). Security Analysis & Portfolio Management, New Delhi: PHI Learning Pvt Ltd Publications.
  6. Brealey.,& Myers., Principles of corporate finance (7th ed.). Tata McGraw Hill Publications
Evaluation Pattern

This course uses multiple pedagogies like interactive lecture, student’s discussions, mock trading, excel computations 

MBA341H - INDUSTRIAL RELATIONS (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:30
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This is a cross-functional elective course offered in the third trimester to students of HR specialization. In this course Students learn various aspects of Industrial Relations mainly focusing on compliance part. They will be getting an in-depth knowledge of compliance and they will be becoming an asset for any organization irrespective of sectors.

Course Objectives: This course attempts to develop the awareness among students about the various acts and legal compliances required for smooth functioning of the organization which is essential for all HR managers.

Learning Outcome

CO1: Put into action statutes and employer?s obligations under different acts of Labour Law.

CO2: Must fully understand employers and employee?s rights and duties and their compliance.

CO3: Students must be able to interpret the powers of the appropriate government/authorities under the Act.

CO4: Must able to put into action the requirements of Compliance officers.

CO5: Must be able to build amicable employee ? employer relations by understanding the provisions of the act.

Unit-1
Teaching Hours:9
A. Industrial Disputes Act, 1947
 

Scope and Extent of the act, Definitions [Industry, Industrial dispute, Individual and collective dispute, Average Pay, Employer, Independent person, lay – off, Lock Out, Retrenchment, Strike, Unfair Labour Practices, Wage and Workmen], Procedure for settlement of industrial dispute, Prohibition of strikes and lockouts, Matters under the purview of Labour Court and Industrial Tribunal,

Unit-1
Teaching Hours:9
B. Introduction to labour laws and Factories Act, 1948
 

Definitions, Welfare Measures under the act, Safety Measures under the act, Working hours for adults, Employment of [Young persons, Women], Annual leave with wages, Penalties and Procedures. [Practical case laws will be discussed in depth].

Unit-2
Teaching Hours:4
Karantaka shops and establishments act, 1964
 

Karnataka Shops and Establishments Act 1961, Activities of Karnataka Labor Welfare Board, Documents to be filed by Shops and Owners in Karnataka, Documents to be filed for registration and its process, Plantation Act [ Employers obligations on Welfare, Leave and Safety

Unit-2
Teaching Hours:4
Wage Code Bill 2019
 

Scope, definitions, establishment, Wages, Worker, Implementation of minimum wages, payment of wages, payment of bonus, advisory board, payment of dues and claims and audit, records and returns, inspector and facilitator and penalties.

Unit-3
Teaching Hours:4
B. Contract Labour Regulation and Abolition act
 

Definitions [Contract Labour, Contractor, and Principal Employer], and Procedure for Registration of Establishment, Licensing, Obligations of employers to provide certain amenities, payment of wages, Penalties if this act is violated.

Unit-3
Teaching Hours:4
A. Child Labour prohibition and Regulation Act, 1986
 

Objects, Definitions of [Child Labour, Employer], Prohibition of Children in Certain Occupations, Hours and periods of work, Conditions of Work, Safety, Welfare and Health Measures for Children, Penalties if Children are Employed

Unit-4
Teaching Hours:5
A. Payment of wages act, 1936
 

[Definitions: Industrial Establishment, Wages], Responsibility, Time and deductions for payment of wages, Recovery of Amount, Appeals, Conditions where attachment of property can be made, Penalties.

Unit-4
Teaching Hours:5
B. Payment of Bonus act, 1965
 

[Definitions: Accounting year, Allocable surplus, available surplus, direct tax, employee, employer, Wage], Computation of gross profits, Computation of available surplus, Eligibility and disqualification for bonus, Minimum and Maximum Bonus, Set on Set Off of allocable surplus, Time limit for payment of bonus, Calculation, Forfeiture of Bonus and Bonus in case of New Establishments, Penalties.

Unit-5
Teaching Hours:8
A. The Minimum wages act, 1948
 

Definitions [ Scope of the act, Apprentice, Designated trade, Graduate or technician apprentice], Qualifications for being engaged as an apprentice, Contract of apprentice, minor as an apprentice, Number of apprentice, Period of training, Termination, Obligations of employer regarding hours of work, safety and health measures, Penalties

Unit-5
Teaching Hours:8
B. The Employment Standing Orders Act, 1946
 

Objects, Definitions [ Employer, Industrial Establishment, Standing Orders], Scope of the Act, Establishments to which this act doesn’t apply, Procedure for submission of draft standing orders, Procedure for certification of standing orders, Conditions for certification of standing orders, Payment of subsistence allowance, Penalties.

Text Books And Reference Books:

P.K Padhi, Labour and Industrial Laws, October 2019, Published by PHI Aguinis, H. 3rd edition.

Essential Reading / Recommended Reading

1.      Kapoor N.D. (2012). Elements of industrial law (11th ed.). New Delhi: Sultan Chand & Sons.

2.      Kumar, H.L. (2013). Labor Laws Everybody should know (9th ed.). New Delhi: Universal Law Publishing Co. Pvt Ltd.

 

Additional Reading / Reference Material: Sarma A.M., (2013). Industrial Relations and Labour Laws (2nd ed.). Mumbai: Himalaya Publishing House

Evaluation Pattern

CIA1: 25 marks

CIA2: 30 marks

Class Participation: 10 marks

End Term Exam: 30 marks

MBA341M - SALES AND DISTRIBUTION MANAGEMENT (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This is offered as a core course in third trimester with 3 credits. This course is designed to expose the students to the concepts, and principles of both Sales and Distribution Management and to develop the necessary skills among the students to effectively sell and distribute products while managing the sales force effectively.

Course Objective: 

At the end of the course, students should be able:

  1. Classify different selling approaches and execute sales deals. with efficiency and Effectiveness.
  2.  Explain sales forecast methods, territory management, permanent journey plan, annual operating plans and set sales targets and manage quota. 
  3. Analyse the concept of Marketing channel design and structure and its overall impact on marketing mix strategy in decision making. 
  4. Appraise the concept of Channel power, relationship and channel economics and its impact on “Go to market strategy.
  5. Explain the concept of sales force motivation, productivity and performance.

Learning Outcome

CO1: Explain the importance of sales management dimensions including sales structure, market potential estimation and forecasting.

CO2: Construct templates on Territory management, permanent journey plan, annual operating plans and set sales targets and manage quota.

CO3: Appoint right channel members who would meet organizational goals.

CO4: Develop and orchestrate effective marketing mix for various channel types.

CO5: Demonstrate higher levels of selling and distribution skills

Unit-1
Teaching Hours:6
Sales Management
 

Nature and importance of sales management, Dimensions of sales management.         

Estimating market potential and forecasting sales: Importance and definitions of Sales forecasting methods-quantitative and qualitative techniques.                                                 

Organizing the sales force -- Nature and characteristics, Basic types of organization, Specialization within sales department.

Selling process: Preparation & Prospecting – Challenges of prospecting, qualifying leads, effective prospecting. Sales Approach, Diagnosis and Solution generation. 

Handling Objections: common customer objections, Reasons why prospects raise objections, Objection handling techniques and method.

Closing call: Types of sales closures.  

Unit-2
Teaching Hours:9
Management of the Sales Force
 

Sales Force Staffing Process: The planning phase, The recruiting phase, The selection phase– Hiring and assimilation Phase.  

Directing the Sales force: Time and territory management --Objectives and criteria for territory formation, Sales territories design, Time management, Routing and scheduling

Sales quotas and compensation: Purpose, Types of quotas, Administration of quotas, Objectives of a compensation plan, Developing the compensation plans-basic and combination, Trends in compensation plan.

Restructuring quotas due to changes in organization, product portfolio, and geographical coverage.

Controlling and evaluating the sales force: Analysis of sales, costs and profitability, Budgeting, Sales analysis-Marketing cost analysis-Increasing sales force productivity.

Unit-3
Teaching Hours:6
Developing the Marketing Channel
 

Strategy in Marketing Channels: Marketing Channel Strategy and the Role of Distribution in Corporate Objectives and Strategy, Marketing Channel Strategy and the Marketing Mix. 

Designing the Marketing Channels: What is Channel Design, Who Engages in Channel Design, A Paradigm of the Channel Design Decision, the Phases of Channel Design. “Go to Market” with Multiple Channels.

Selecting the Channel Members: Channel member Selection and Channel Design, The Selection Process, finding prospective channel members, Applying Selection criteria, securing the Channel members

Unit-4
Teaching Hours:9
Managing the Marketing Channel
 

Motivating the Channel Members: Finding out the needs and Problems of Channel Members, Offering Support to Channel Members, Providing Leadership to Motivate Channel Members.

Product Issues in Channel Management: New Product Planning and Channel Management, the Product Life Cycle and Channel Management, Strategic Product Management and Channel Management, Trading Down, Trading Up, and Channel Management

Pricing Issues in Channel Management: Anatomy of Channel Pricing Structure, Guidelines for Developing Effective Channel Pricing Strategies, Other Issues in Channel Pricing (Free Riding, Grey Markets).

Promoting through the Marketing Channel: Promotional Strategies and Channel Member Cooperation, Basic Push Promotional Strategies in Marketing channels, Bait and Switch, Consignment Selling, “Kinder and Gentler” Push Promotion Strategies in Marketing, Breakeven Analysis for “Free Schemes” in Channel Promotions. 

Evaluating Channel Member Performance: Factors Affecting scope and frequency of Evaluations, Performance Evaluation versus Day-to-Day Monitoring, Channel Member Performance Audit.

Unit-5
Teaching Hours:0
Additional Perspectives on Marketing Channels
 

(Self-learning module)

Electronic Marketing Channels: Structure of Electronic Marketing Channels, Developments and Trends in Electronic Marketing Channels, Business Models in Internet Channels, Television Sky shop, Advantages and Disadvantages of Electronic Marketing Channels. 

Direct Selling Channel Systems: Structure and Trends in Direct Selling, Direct Agents, DSA and MLM formats in Direct Selling

Text Books And Reference Books:

Spiro, L.R., Stanton, J. W.  & Rich, A.G. (2013). Management of a sales force (15thed.). Irwin: McGraw –Hill.

Essential Reading / Recommended Reading

Rosenbloom, B. (2004). Marketing channels (8thed.). New Delhi: Cengage Learning Reprint (2015).

Evaluation Pattern

*

MBA342B - PROGRAMMING WITH PYTHON (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This is a three-credit course offered as a Discipline Specific Elective during third trimester for all Business Analytics Specialization students. Python is a general-purpose programming language which is simple and incredibly readable. The course discusses the fundamental principles of Object-Oriented Programming as well as in-depth data and information processing techniques. The course introduces core programming basics – including data types, control structures, algorithm development and program design with functions – through Python. During this course, students will explore real-world software development challenges while solving practical and contemporary business problems.

Course Objectives: 

At the end of the course, students should be able:

  1. To identify various data types in python
  2. To apply various types of string operations for data processing
  3. To utilize functions for efficient programming.
  4. To analyze the data using Numpy and Pandas.
  5. To apply various data visualizations to capture data characteristics.

Learning Outcome

CLO1: Outline Python programs for various scenarios using expressions, text or strings

CLO2: Construct data structures of various types using Python programs.

CLO3: Construct Python programs for data manipulation using NumPy and Pandas

CLO4: Develop efficient Python programs using functions.

CLO5: Design Python programs to visualize business data using matplotlib, Pandas and seaborn

Unit-1
Teaching Hours:3
Introduction to Python
 

Programming essentials; data types and expressions – strings, variables, assignment, operators, type conversions; Using functions and modules – arguments and return values; Control statements: for loops – count-controlled, augmented assignment, steps; if-else statements – one-way, multiway (elif), logical operators and Boolean expressions; while loops – break, loop logic, errors and testing.

Unit-2
Teaching Hours:6
String Operations and Data Structures
 

Strings and text files: string concatenation, subscript operator, indexing, slicing a string;

string methods, manipulating files and directories; text files: reading/writing text and numbers from/to a file.

Lists: basic list operators, list methods, mutators, aliasing, object identity and structural equivalence; tuples; dictionaries: dictionary literals, adding and removing keys, accessing and replacing values, traversing dictionaries.

Unit-3
Teaching Hours:6
Design with Functions
 

Overview of Object-oriented programming, pickling, exception handling – the try-except statement. Overview of Functions, Functions as abstraction mechanisms, removing redundancy, hiding complexity; recursive functions; Managing a program’s namespace – module variables, parameters and temporary variables; scope, lifetime, named arguments; higher-order functions – Map, Filter & Reduce; anonymous (lambda) functions.  Simple student management system using python constructs and files.

Unit-4
Teaching Hours:9
Data Manipulation using Numpy and Pandas
 

The NumPy module: ndarrays, array-oriented programming, mathematical and statistical methods, sorting arrays, file input and output with arrays, array slicing using NumPy. The pandas module: pandas data structures – Series, Data Frame, Index objects; indexing, selection and filtering, function application and mapping, sorting and ranking, mathematical and statistical methods, reading and writing data in text formats, data preparation, transformation, wrangling – join, combine, reshape, data aggregation and group operations; string manipulation. Pandas-eval () and query ().

Unit-5
Teaching Hours:6
Data Visualisation
 

Advanced Plots and charts types (stacked bar chart, area chart, bubble chart, box plot, venn diagram, tree map), The matplotlib package: setting graph attributes, saving plots to files, plot configuration files, plotting with pandas and seaborn. Integrating with other Visualization tools.

Text Books And Reference Books:
  1. Manaranjan Pradhan, U Dinesh Kumar. (2019) Machine Learning using Python, Wiley
  2. Lambert KA., Juneja BL. (2015). Fundamentals of Python. Cengage Learning.
Essential Reading / Recommended Reading

McKinney W (2018). Python for Data Analysis. 2nd Edition. O’Reilly Media.

Evaluation Pattern

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MBA342F - MANAGEMENT OF BANKS (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course is offered as a finance specialization mandatory course for the MBA program. It prepares students for careers in Banking and Finance industry. Students opting for this specialization understand the various aspects related to management of banks from a macro perspective mainly.

Course Objectives: This course attempts to make students understand the broad functioning of a bank both at the macro and at micro levels and measure the performance of banks

Learning Outcome

CO1: Understand the linkages between banking system and the economy

CO2: Evaluate the impact of interest rate changes to the banking sector

CO3: Measure the financial performance of banks

CO4: Examine the ethical, social and governance dimensions concerning banking industry

CO5: Develop an integrative thinking of the functioning of the banking industry with the rest of the economy.

Unit-1
Teaching Hours:8
Overview of the Banking Industry & Regulation
 

Introduction to Banking. Role of commercial banks in the economy Universal Banking License Vs Differentiated Banking License. 

Structure of banks in India. Perspectives of Indian banking sector. Banking Regulatory environment.  Monetary Policy – Tools and implications on banking. Reserve Requirements – CRR and SLR.

 

Banking Products and Services Deposit products: Deposit accounts, Current Accounts and Savings Accounts. Credit products – Fund based facilities -Term loans, working capital loans – Cash Credit and Overdraft Accounts, Non-Fund based facilities – Letter of Credit, Bank Guarantee. Payment services. Trade Finance and Custodial services. 

Unit-2
Teaching Hours:6
Evaluating Bank Performance
 

Operation and performance of commercial banks. Understanding Banks’ financial statements - Bank Assets and Liabilities.

 

Analysing Banks’ Financial statements – Key Performance indicators, Capital Adequacy, Asset Quality, Earnings Quality and overall Liquidity Analysis. DuPont model for evaluating bank performance. Basic risk and return features of commercial banks.

Unit-3
Teaching Hours:6
Risks in banking and Credit and NPA Management
 

Introduction to Banking Risks – Credit Risk, Market Risk (Interest Rate Risk, Liquidity Risk) and Operational Risk. Basel I, II and III Regulations. Regulatory Capital and Capital Adequacy 

Credit and NPA Management: Basic credit analysis principles and the characteristics of different types of loans. Appraisal and assessment of credit risk facilities – Working capital and Term loans. . Types of collaterals. Basic credit scoring models applied to  borrowers. Interpreting financial statements and generating cash flow estimates to determine repayment prospects. 

 

NPA regulations governing banks and NPA management. Insolvency and Bankruptcy Code

Unit-4
Teaching Hours:6
Market Risks ? Interest Rate Risk and Liquidity Risk
 

Market Risks – What is market risk? Different types of market risks. Interest Rate Risk and Asset Liability Management. . How do banks measure and manage interest rate risk? Types of Interest Rate Risks. determinants of interest rates. Measuring Interest Rate Risk - GAP analysis and the use of sensitivity analysis to assess the potential impact of interest rate and balance sheet changes on net interest income.  Liquidity Risks

Unit-5
Teaching Hours:4
Contemporary Topics
 

Relevance of socially responsible banking and financial inclusion. Fintech - Technology in banking, New forms of Payments, Digital Currencies, Climate changes and financial system.  Recent trends in banking.

Text Books And Reference Books:

RBI circulars; Banks Annual reports, Business news paper articles to follow the trends in banking.

Essential Reading / Recommended Reading
  1. MacDonald Scott S., Koch Timothy W, Management of Banking. 6th Edition, Indian:  Cengage learning. 
  2. R M Shrivastava., Dr Divya Nigam, (2009). Management of Indian Financial Institutions.    8th edition,  Publisher: Himalaya Publications.
  3. Gup Bentone., Kolari James W, Commercial Banking - The Management of Risk. 3rd Edition,  Wiley India edition. 
  4. Bhattacharya Hrishikesh.,Banking Strategy- Credit Appraisal and Lending Strategies - A Risk-Return Framework.   Oxford University Publications.
  5. Mukherjee D.D., Credit Appraisal, Risk Analysis and Decision Making. 4th enlarged and revised edition, Snow White Publications.
Evaluation Pattern

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MBA342H - TALENT MANAGEMENT (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This paper is offered in the third trimester. The subject helps students in understanding the fundamentals of Talent and performance Management 

This course gives special emphasis on Talent Planning, Talent acquisition and Talent Management strategies. Students will also get the skills and knowledge pertaining to hands- on Employee Engagement activities and specialize in the various aspects of job market related talent planning, talent acquisition and retention strategies which can be directly linked to the business strategy of an organisation.

 

Course Objectives

At the end of the course, the student should be able to  

 

  • apply the principles of talent management in the business setting 
  • examine recruitment and selection strategies for smooth business operations
  • design performance management system to assess employees
  • develop a comprehensive approach to career management 
  • To develop talent management strategies to develop and retain talents

Learning Outcome

CLO1: Make use of talent management concepts in organizations

CLO2: Examine recruitment and selection strategies

CLO3: List suitable approaches to measure performance

CLO4: Decide on various approaches to career management

CLO5: Choose appropriate talent management strategies for retention of employees

Unit-1
Teaching Hours:5
Talent Management: Concept and frame work
 

Definition, concept of talent, talent- engine of new economy, the talent value chain, importance of talent management, relationship with other HR processes, characteristics of talent friendly organizations, talent management process: 9 Box Grid Model of Talent Management. competencies, building blocks of talent management systems 

Unit-2
Teaching Hours:7
Talent Acquisition
 

Man power planning: demand and supply forecasting, Recruitment: social media recruitment, role of AI in   recruiting Selection: methods of selection: tests, interviews, Assessment of effectiveness of recruitment and selection, on boarding and orientation processes, importance of on boarding, integrated on boarding

Unit-3
Teaching Hours:7
Talent Management & Performance Management System
 

 

Performance Management: Definition, Purposes, Performance Management cycle, Approaches to Measuring Performance, Comparative Systems & Absolute Systems of performance measurement. Selection of a suitable performance management method, Personal development plan, 360-degree appraisal feedback, 720- degree appraisal and feedback Performance management tools, Potential appraisal, Contemporary trends 

Unit-4
Teaching Hours:7
Career Management
 

Definition of a career, career management.  Psychological contract, Employee lifecycle management, employee role in career management, career planning, career anchors, employers role in career management, employers career management methods and Best Practices for succession management. 

Unit-5
Teaching Hours:4
Talent engagement and Retention
 

Concept of Talent Engagement, Retention, Employee Experience and Retention, The Race for Talent: Retaining and Engaging Workers.

Managing voluntary turnover, a comprehensive way to retaining employees, job withdrawal, managing dismissals.

Text Books And Reference Books:

 

  1. Dessler, G and Varkkey, B. (2020)   Human Resource Management 16 edition: Pearson 
  2. Rao, V.S.P Human Resource Management(2010) 3rd Edition Excel Publishers
Essential Reading / Recommended Reading

 

  1. Aguinis Herman (2019) Performance Management.  Fourth Edition Pearson Education.
  2. Berger, L.A &. Berger, D.R (2018) The Talent Management Hand Book, Making Culture, A Competitive Advantage by Acquiring, Identifying, Developing  and Promoting the Best People  Tata McGraw Hill, Third  edition.
  3. Cook, M. (2016). Personnel selection: Adding value through people (5th ed.). Hoboken, NJ: J. Wiley & Sons. 
  4. Martocchio, J. J. (2019). Human Resource management.15 Edition  New York: Pearson
  5. Murugan, A. (2018). Human Resource Planning And Development. New Delhi: Discovery Publishing House
Evaluation Pattern

 

This course uses multiple pedagogies like interactive lecture, students discussions & presentations, HBR case and article analysis, and a field visit in the form of experiential learning.

MBA342M - MARKETING RESEARCH AND ANALYTICS (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course provides an in-depth introduction to marketing analytics as a basis for competitive marketing strategies and execution. Students will learn how to use marketing analytics for forecasting sales using statistical techniques, customer base analysis, performance analysis of brands, data management, and application of analytics for effective marketing decisions. Students will gain hands-on experience with the techniques and theory covered in this course.

Course Objectives: 

At the end of the course, students should be able:

  1. To Understand the Marketing Analytics, 
  2. To collect data for appropriately for analysis,
  3. To framework for data analysis,
  4. To Analyse the marketing Data using statistical techniques,
  5. To apply analytics in Marketing decisions.

Learning Outcome

CLO1: Identify the ways to do marketing analytics

CLO2: Apply the marketing analytics techniques for solving marketing problems.

CLO3: Analyse data by Compiling, Disassembling, And Reassembling data

CLO4: Present the Results from analytical approach.

CLO5: Decide about appropriate marketing strategy based on the results. n the Research report to Share with Others.

Unit-1
Teaching Hours:3
ANALYTICS IN MARKETING
 

Role of analytics in marketing, Current trends and industry practices, Success stories

Unit-2
Teaching Hours:3
PROBLEM SOLVING FRAMEWORKS for ANALYTICS
 

Cross-Industry Standard Process for Data Mining (CRISP DM) and Sample, Explore, Modify, Model, Assess (SEMMA) models.

Unit-3
Teaching Hours:6
DATA MANAGEMENT
 

Customer base analysis, Performance analysis, Contribution analysis, Migration Analysis

Time Series Analysis and Forecasting: Time Series Patterns – Horizontal pattern, trend pattern, seasonal pattern, cyclical pattern. Moving averages, weighted moving averages, Single Exponential smoothing, Holts exponential smoothing, Autoregressive–moving-average (ARMA) model

Unit-4
Teaching Hours:6
LOSS FUNCTIONS
 

Mean Error or Mean Forecast Error (MFE), Mean Absolute Error (MAE), Mean Percentage Error (MPE), Mean Absolute Percentage Error (MAPE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE)

Unit-5
Teaching Hours:9
APPLICATIONS OF ANALYTICS IN MARKETING
 

Market segmentation, Customer profiling/segmentation using Hierarchical clustering K-means clustering, Customer churn analysis, Market mix models, Market Basket Analysis (MBA), RFM Analysis, Market share analysis

Text Books And Reference Books:

Hair Jr., J. F., Black, W. C., Babin, B. J., & Black, A. C. (2019). Multivariate Data Analysis. Delhi: Cengage Learning India Private Limited.

Essential Reading / Recommended Reading

Williams, T. A., Anderson, D. R., Sweeny, D. J., Camm, J. D., Cochran, J. J., Fry, M. J., & Ohlmann, J. W. (2020). An Introduction to Management Science - Quantitative Approaches to Decision Making. Delhi: Cengage Learning India Private Limited.

Evaluation Pattern

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MBA343B - EXPLORATORY DATA ANALYSIS (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This is a three-credit course offered as a Functional Core during third trimester for all Business Analytics Specialization students. The course enables the students to use the R programming language for performing basic data analysis including data preparation, data manipulation, data visualization, descriptive statistics and statistical modelling.

Course Objectives: 

At the end of the course, a student should be able:

 

  1. To organize data using R programming
  2. To apply analytical techniques using R programming
  3. To identify patterns from data.
  4. To discover insights from data
  5. To discover principal component analysis

Learning Outcome

CLO1: Demonstrate data preparation using R programming.

CLO2: Illustrate data using R programming to use it for analysis.

CLO3: Infer data graphically using R programming.

CLO4: Outline data using R programming.

CLO5: Interpret principal component analysis using R programming.

Unit-1
Teaching Hours:3
Introduction to R
 

Importing data into R – text files, Excel, from other statistical software packages, from databases, and from the web, viewing data. Arithmetic with R, Variable assignment, basic data types in R. Vectors, Matrices, Data frames and Lists. Categorical data – factors, discretizing variables.

Unit-2
Teaching Hours:7
Data Preparation
 

Exploring raw data, basic data visualization through graphs, cleaning data, preparing data for analysis – missing and special values, outliers and obvious values.

The dplyr package and the tbl class, Selecting and mutating data – joining data with dplyr, filtering and arranging data, Filtering based on factors, summarizing data and the pipe operator, Group_by and working with databases.

Unit-3
Teaching Hours:8
Data Exploration
 

Exploring categorical data, exploring numerical data, Descriptive Statistics – measures of central tendency and variability. Exploratory Data Analysis using graphs.

Unit-4
Teaching Hours:6
Data Visualization
 

Frequency tables and Cross-tabulation.

Introduction to base graphics in R, different plot types, adding details to plots, managing visual complexity, creating plot arrays.

Advanced plot customization, other graphics systems in R.

The ggplot2 package, Grammar of Graphics, aesthetics, geometries, the qplot() function, statistics in graphs.

Unit-5
Teaching Hours:6
Application of PCA for product analytics
 

Selection of relevant variables for product analysis

Dimensionality Reduction Techniques- Principal Component Analysis and Factor Analysis, Feature selection using PCA, PCA based regression and Anomaly detection using PCA

Text Books And Reference Books:

Wickham H., Grolemund G. (2016). R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O’Reilly Media.

Essential Reading / Recommended Reading
  1. Cotton, R. (2013). Learning R: A Step-by-Step Function Guide to Data Analysis 1st Edition [Kindle Version]. Retrieved from http://www.amazon.in.
  2. Knell, R. (2013) Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R. [Kindle Version]. Retrieved from http://www.amazon.in.
  3. Murray, S. (2013) Learn R in a Day. [Kindle Version]. Retrieved from http://www.amazon.in.
Evaluation Pattern

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MBA343F - FINANCIAL REPORTING AND ANALYSIS (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

 

In order to make decisions using information contained in financial statements, a deeper understanding of the process of financial reporting is necessary. Knowledge of accounting standards and principles will help in deciphering the accounting information clearly. This is significant as accounting is the primary channel of sending information about a business to the external world. Analysing the financial statements using advanced ratios will shed deeper insight to the real performance of firms. Hence this course tries to cover the twin areas of reporting and analysis of financial statements.

Course Objectives: This course attempts to enable to understand the key accounting standards that can influence the financial numbers and help evaluate the financial statements with quantitative and qualitative emphasis.

Learning Outcome

CLO1: Compare the financial reporting regulations of India with international standards.

CLO2: Analyze the financial health of the business through financial statements information.

CLO3: Evaluate financial reporting and disclosures

CLO4: Examine the effect of accounting standards on the financial numbers

CLO5: Apprise the accounting standards on assets and debt with respect to the impact on the financials

Unit-1
Teaching Hours:3
Overview and Regulatory Framework
 

The regulatory and conceptual framework of preparation and presentation of financial statements-  National differences in financial reporting practices – International Accounting Standards setting Boards- IASB, FASB- International Financial Reporting System-  Indian scenario NACAS- NFRA- Ind AS, role of Securities and Exchange Board and Companies Act – Periodicity of financial statements- Fair value Accounting- Global Reporting Initiative- Integrated reporting- ESG reporting- Valuation methods of  intangible assets – Human resources and brand valuation

Unit-2
Teaching Hours:12
Applied Financial Statement Analysis
 

 

Modified Dupont analysis-  Credit appraisal with financial statements- Cash flow analysis-operating vs financial – free cash flow and valuation- linkage between cashflow and income financial statement forecast with spreadsheet model- Earnings quality analysis-Aggressive treatment of income and expense-choices of accounting alternatives- related party transactions- asset impairment charges-  Earnings management motives-  Accounting shenanigans 

Unit-3
Teaching Hours:6
Inference from Annual Reports
 

Format of Annual report- Analysing the Management Discussion and Analysis- letters to shareholders- segment information -operating performance data- forward looking statements-business description  risk, contingencies   - Accounting policies and Notes to Accounts –analysing the press releases- conference calls and webcasts- non financial information letters to Theories of Disclosures-  Format of Auditors Report- Audit Qualifications

Unit-4
Teaching Hours:6
Analysis of Accounting standards on tax and revenue
 

Revenue recognition- alternate source of income AS -for Income Tax –   Revenue recognition –components of EPS– analysis of non-recurring and other comprehensive income- Consolidation of Group Companies

Unit-5
Teaching Hours:3
Analysis of assets and debts
 

Recognition of Current tax liabilities -Analysis of current liabilities- operating vs financing – disclosure of off-balance sheet assets and liabilities- operating and financing leases-effect of leases on financial ratios.

Text Books And Reference Books:

Krishna G. Palepu , Paul M. Healy (2015). 5th Edition, Business Analysis and Valuation: Using Financial Statements, Cengage Publications 

Essential Reading / Recommended Reading

Contemporary articles from professional bodies and magazines

Evaluation Pattern

 

This course uses multiple pedagogies like interactive lectures, case studies, research papers analysis and link to the real world by extracting and analyzing data from corporate databases 

MBA343H - LEARNING AND DEVELOPMENT (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The course is offered as a human resource elective in the third trimester. The course includes both the cognitive and the behavioral component. It will help develop both knowledge and skills in the fast developing learning and development field.  Students will have an increased knowledge, understanding, and application about the training, learning and various development functions related to learning processes, design considerations, alternative methods of instruction and implementation issues. It is expected to develop and improve skills at applying the L&D processes particularly in the global L&D context.

Course Objectives: This course attempts to impart knowledge, understanding, and application about the training function with a special emphasis on L&D, training processes, design considerations, alternative methods of instruction, implementation issues, and training evaluation to the students.

Learning Outcome

CLO1: Identify the significance of Learning concepts, learning Organizations and Corporate Universities.

CLO2: Demonstrate the strategic criticality of the L&D, training concepts, principles and issues connected with L&D in designing a training program.

CLO3: Interpret the relevant theories and concepts of L&D and training to various current practices.

CLO4: Assess the impact of L&D practices and policies.

CLO5: Design Training and learning initiatives linked to business strategies

Unit-1
Teaching Hours:8
UNIT 1
 

The move from training and development to Learning and development. Significance of L&D in today’s business world - including the concept of learning organizations.

Emergence of Corporate Universities and their strategic significance. Study of successful corporate Universities.

Unit-2
Teaching Hours:8
UNIT 2
 

Needs Analysis and Training Design – with a view to link to the L&D significance.

Introduction to adult Learning-Bloom’s taxonomy -Kolb’s experiential learning, Honey and Mumford learning styles. Practical application of ISD theory and practices.

Unit-3
Teaching Hours:7
UNIT 3
 

Learning and development Methods: Action learning, E-learning, Mentoring. Coaching etc. Designing the various Learning and development Methods.

Unit-4
Teaching Hours:4
UNIT 4
 

Evaluation of Training-Kirkpatrick Model- Emerging technologies in learning interventions

Unit-5
Teaching Hours:3
UNIT 5
 

Professional ethics and sustainability in building learning organizations

Text Books And Reference Books:
  1. Noe, A. R. (2008).  Employee training and development.  The McGraw-Hill Companies
  2. Blanchard. P. N., & Thacker, J. W. (2009).  Effective training: Systems, strategies, and practices (2nd ed.). Pearson Education
Essential Reading / Recommended Reading
  1. Anderson, A.H. (2000).  Training in practice: Successful implementation of plans.   Infinity Books 
  2. Irwin, L. Goldstain. L. I., & Ford, J. K. (2002).  Training in organization: Needs assessment, development, and evaluation (4th ed.). Thomson Learning
  3. Janakiram, B. (2007).  Training & development, Biztantra innovations in management.  Dreamtech press.
  4. Mcgrath, E. H. (2008).  Training for life and leadership in industry. Prentice Hall of India Pvt Ltd. 
  5. Phillips, J. J. (2004).   Handbook of training evaluation and measurement methods.  Jaico Publishing House
  6. Sahu, R. K (2005).   Training for development: All you need to know.  Excel Books.
  7. Truelove, S. (2009).  Training and development: theory and practice. Jaico Publishing
Evaluation Pattern

This course uses multiple pedagogies like interactive lecture, student’s discussions & presentations, HBR case and article analysis, and a field visit in the form of experiential learning.

MBA343M - BUSINESS TO BUSINESS MARKETING (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

 

This paper is offered as a marketing subject in the third trimester and it emphasizes the importance of the B2B industry. Approaching organizational buyers requires developing unique sets of marketing knowledge. TheB2B sector has phenomenally grown in the past decade and are increasingly using AI to automate certain functions. The customer revolution, the business environment, global players have brought in tremendous changes to the B2B industry. The course equips the students to acquire core competencies &skill sets to make a successful career in the B2B sector.

Course Objectives: To impart knowledge needed to understand the trends and unique characters of B2B marketing. 

 

To develop the skills among students required for a career in B2B marketing.

Learning Outcome

CLO1: Apply knowledge of management theories and practices to solve business problems with specific reference to marketing strategy used in B2B sector.

CLO2: Foster Analytical and critical thinking abilities for data based decision making.

CLO3: Discover, analyze and communicate global, economic, legal and ethical aspects of business.

CLO4: Apply existing theories, methods and interpretations and work independently on practical and theoretical problems.

CLO5: Lead themselves and others in the achievement of organizational goals, contributing effectively to a team environment.

Unit-1
Teaching Hours:6
Introduction to new generation Business-to-Business Marketing
 

Leading organizations in B2B marketing in India and global markets. Business and Consumer marketing-A contrast, the value chain, Trends and changes in Business marketing.    Perspectives on the Organizational Buy: Classifying customers, Organizations and Markets, Types of organizational customers and their unique characteristics of Commercial enterprises, Government and Institutional Markets.

Organizational buying and buying behavior: The nature of buying, organizational buying process- A process flow model.

Unit-2
Teaching Hours:4
Customer relationship management strategies for business markets
 

Developing emotive connects in B2B marketing, Buyer seller connector, New generation value added partnerships roles in B2B Marketing, managing buyer seller relationships, Gaining a customer relationship advantage.

Unit-3
Teaching Hours:8
Segmenting the Business Market and Demand Analysis
 

Segmenting, Targeting and Positioning. Value based segmentation. A model for segmenting the organizational Market.      

Organizational demand analysis, determining market and sales potential, Sales forecasting methods.

Unit-4
Teaching Hours:6
Managing Innovation and Marketing Mix
 

Managing Innovation and New product development process. Pricing in Business-to-Business Marketing. Pricing basis, managing price as part of Marketing Strategy, Managing pricing tactics, pricing implementation-case of negotiated pricing.                                                                   

Direct & Indirect channels, Distributors & manufacturers rep, Channel objectives & Design, Selection & Motivation of channel members. B2B Advertising and digital marketing, Sales tools and communication, Content marketing in B2B, B2B Marketing communication, Trade shows, Personal selling, Key account management.
Unit-5
Teaching Hours:6
Strategic Perspectives in Business Marketing Planning
 

Managing service for Business Markets, Ethics as strategy in B2B selling. Use of technology and AI. Use of AI in predictive lead and behavior scoring, Customer segmentation, media buying and programmatic advertising, personalized customer journeys, automated customer interactions, omnichannel experiences and performance measurement and optimization.

Text Books And Reference Books:

Hutt Michael and Speh  Thomas (2023) Business Marketing Management, 13th ed, Cengage Learning

 

 

 

 

 

 

Essential Reading / Recommended Reading

*

Evaluation Pattern

*

MBA361M - DIGITAL MARKETING (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Developing a successful digital marketing strategy and implementation is both an art and science. It involves in-depth knowledge of dynamics of new media (Social Media, Mobile) and utilizing the right resources and marketing skills to design and launch successful customer engagement campaigns. Digital Marketing course has been designed to help students to understand both functional and management roles required to plan and execute effective Digital Marketing campaigns. The course also helps students gain an insight how to plan and implement Digital Marketing initiatives

Course Objectives: This course attempts to help students to understand both functional and management roles required to plan and execute effective Digital Marketing campaigns.

Learning Outcome

CO1: Outline the basics of digital marketing and digital marketing plan.

CO2: Utilize the concepts of display ads and e-mail marketing in digital campaigns.

CO3: Choose the appropriate social media for achieving the objectives of the campaign

CO4: Appraise the SEO and SEM efforts of any business organization.

CO5: Explain Mobile Marketing and Web Analytics pertaining to any business.

CO6: Design and run a digital marketing campaign for a client.

Unit-1
Teaching Hours:5
Introduction to Digital Marketing
 

Digital Marketing: Origin of digital marketing; Traditional Vs Digital Marketing; Internet Users in India; Grehan’s 4Ps of digital marketing; The consumer decision journey; The P-O-E-M Framework; The digital landscape; Digital Marketing Plan.

Ethical Challenges: Frauds on the Web, Data and Identity Theft, Issue of Privacy. Information Technology Act, 2000.

Unit-2
Teaching Hours:6
Display Advertising
 

Why pay for Search Advertising? Understanding Ad Placement; Understanding Ad ranks; Creating the first Ad campaign; Enhancing the Ad campaigns; Performance reports. Google AdSense. 

 

Concept of Display Advertising; Types of display Ads; Buying Models; Display Plan; Targeting – Contextual targeting- Placement Targeting-Remarketing- Interest categories- Geographic Language Tagging; What makes a good Ad? Programmatic digital advertising; Analytics tools – view ability, on target reach, Ad fraud, Brand Health.

Unit-3
Teaching Hours:9
Social Media Marketing
 

How to build a successful social media strategy? Facebook Marketing- Facebook for Business-Anatomy of an Ad campaign – Adverts - Facebook Insights

Linkedin Marketing – Linkedin Strategy- Sales lead generation – Content Strategy – Linkedin Analytics – Targeting – Ad Campaign 

Twitter Marketing – Getting started with Twitter – Building a content strategy – Twitter Ads – Twitter Analytics

Instagram Marketing – Objectives – Content Strategy – Style guidelines – Hashtags – Videos- Sponsored Ads – Apps – Generate leads

Unit-4
Teaching Hours:6
Email Marketing and Search Engine Advertising and Search Engine Optimization
 

e-mail Marketing – Building a List- Content Strategies – e-mail newsletter – Automating e-mail marketing- Analytics

 

Search Engine Optimization – How search engine works? SEO Phases; On page Optimization; Off-page Optimization; Social Media Reach; Maintenance

Unit-5
Teaching Hours:4
Mobile Marketing and Web Analytics
 

Mobile Advertising – Mobile Marketing toolkit – Mobile Marketing Features – Mobile Analytics 

Web Analytics – Key Metrics – Making web analytics actionable – Types of tracking codes.

Text Books And Reference Books:

Seema Gupta. (2020). Digital Marketing (2nd Ed). Tata Mc Graw Hill.

Essential Reading / Recommended Reading
  1. Kerpen, D., Berk, R., Greenbaum, M. (2019). Likeable social media, Third Edition: How To Delight Your Customers, Create an Irresistible Brand, & Be Generally Amazing On All Social Networks That Matter. United Kingdom: McGraw-Hill Education.
  2. Puthussery, A. (2020). Digital Marketing: An Overview. Notion Press.
  3. Herman, J., Butow, E., Allton, M., Liu, S., Robinson, A. (2020). Ultimate Guide to Social Media Marketing. United States: Entrepreneur Press.
  4. Marshall, P., Rhodes, M., Todd, B. (2020). Ultimate Guide to Google Ads. United States: Entrepreneur Press.
Evaluation Pattern

*

MBA362B - ARTIFICIAL INTELLIGENCE FOR MANAGERS (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The origins of Artificial Intelligence (AI) can be traced to the seminal work done by Alan Turing during the World War. Artificial Intelligence has come a long way since then and currently impacts all areas of our lives.  Advances in computing power have made the application of brute force to AI feasible, e.g., machine learning. This Generic Elective course in the third trimester provides an insight into Artificial Intelligence, Machine Learning, and Deep Learning.

Course Objectives: 

At the end of the course, a student should be able:

 

  1. To Apply the Fundamentals, and Economics of Artificial Intelligence (AI)
  2. To Make use of the role of AI systems as agents 
  3. To Experiment with potential applications suitable for RPA based on domain knowledge
  4. To Examine appropriate machine learning and deep learning techniques to solve business problems
  5. To Discuss the ethical perspective while developing AI applications

Learning Outcome

CLO1: Apply the Fundamentals and Economics of Artificial Intelligence (AI)

CLO2: Make use of the role of AI systems as Agents

CLO3: Experiment with potential applications suitable for RPA based on domain knowledge

CLO4: Examine appropriate machine learning and deep learning techniques to solve business problems

CLO5: Discuss the ethical perspective while developing AI applications.

Unit-1
Teaching Hours:6
Introduction to AI
 

Introduction to AI; History and evolution of AI; Why AI now?; Components of AI; Economics of AI: Prediction Machines

Unit-2
Teaching Hours:6
Foundations of AI
 

Intelligent agents; Uninformed search, Heuristic search; adversarial search, game playing, Robotics

Unit-3
Teaching Hours:9
Machine Learning
 

Supervised Learning:Basic concepts, Classification; Regression, Unsupervised Learning: Clustering, Association

 

Self-supervised Learning, Reinforcement Learning

Unit-4
Teaching Hours:5
Deep Learning
 

Introduction, Artificial Neural Network, Applications

Unit-5
Teaching Hours:4
Future of AI
 

Explainable AI, Generative AI, Responsible AI, Ethics of AI

 

MLOps, Governance

Text Books And Reference Books:
  1. Taulli, T. (2019). Artificial Intelligence Basics. Apress
  2. Agarwal, A., Gans, J. & Goldfarb, A. (2018). Prediction Machines, Harvard Business Review Press.
Essential Reading / Recommended Reading
  1. Russell, S., Norvig, P (2010) Artificial Intelligence: A Modern Approach (3rd ed.). Prentice Hall.
  2. Tacker, J. (2020) The Age of AI: Artificial Intelligence and the future of Humanity, Zondervan.
  3. Daugherty, Paul R., Wilson, H. J., Human+Machines Reimagining Work in the Age of AI.
  4. Ertel, W. Introduction to Artificial Intelligence. Springer.
Evaluation Pattern

*

MBA431 - STRATEGIC MANAGEMENT (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description:

This is offered as core course in the fourth trimester. The course aims to introduce strategic management principles to the participants. Additionally, this course provides the participants with tools, concepts and perspective to understand and develop strategies for businesses in varied industries. 

Course Objective:  This course facilitates understanding of the concept of strategy and strategic management process across corporate and business level strategies. 

 

Learning Outcome

CO1: Analyze and formulate new vision, mission statements

CO2: Foster research skills resulting in improved understanding of strategic management concepts/theory

CO3: Assess strategic progress using control measures for achieving organizational goals

CO4: Able to think, formulate and evaluate various business strategies

CO5: Examine the global perspective in the realm of strategic management.

Unit-1
Teaching Hours:7
Introduction
 

Concepts, Nature, Competitive Advantage, Strategists, External Opportunities and Threats, Internal Strengths and Weaknesses, Strategic-Management Model

Types of Strategies

Long term Objectives, Types of Strategies, Integration Strategies, Intensive Strategies, Diversification Strategies, Defensive Strategies, Porter’s Generic Strategies, Blue Ocean Strategy

Strategy Development Processes

Intended Strategy Development, Emergent Strategy Development

Unit-2
Teaching Hours:8
Strategic Analysis
 

Vision and Mission Analysis: Vision versus Mission, Vision Statement Analysis, The Process of Developing Vision and Mission Statements

Strategic Environment                                   

Process of Performing an External Audit, The Industrial Organization (I/O) View, PESTLE, Understanding risks and uncertainties, Porter’s Five Forces Model, Industry Analysis, Industry Life Cycle, Competitor Analysis, Strategic Groups

Resources and Processes

Process of Performing an Internal Audit, Resource Based View, Integrating Strategy & Culture, Management, Marketing, Finance and Accounting Ratios, Operations, Value Chain Analysis, The Internal Factor Evaluation Matrix

Unit-3
Teaching Hours:5
Business Level Strategy
 

Bases of competitive advantage, Sustaining competitive advantage, Competitive strategy in hypercompetitive conditions, Game Theory- Prisoner’s dilemma 

Unit-4
Teaching Hours:6
Corporate Level Strategy
 

Strategic Directions, Reasons for Diversification, Value Creation and Corporate Parent, Portfolio Matrix – BCG, Porter’s Diamond

International Strategies, Methods of pursuing strategies, Strategy Evaluation Methods, Turnaround strategy, Model Innovation

Unit-5
Teaching Hours:4
Strategic Implementation and Evaluation
 

The Nature of Strategy Implementation

Annual objectives, Policies, Resource Allocation, Managing Conflict, Matching Structure with Strategy, Managing Resistance to change

Text Books And Reference Books:

Essential Reference:

David, Fred. (2018). Strategic Management: Concepts (15th edition). Prentice Hall.

 

Essential Reading / Recommended Reading

Recommended References: 

Johnson. (2013). Exploring Corporate Strategy: Text and Cases (7th edition.). Pearson Education India.

Grant, R. M. (2015). Contemporary Strategy Analysis, Eighth edition, New Delhi, Wiley.

Hill, Charles W. L. and Jones, G. R. (2018). Strategic Management Theory: An integrated approach (10th edition.). Cengage Learning.

Hitt, Michael A, Hoskisson, Robert E., Ireland, R. Duane and Manikutty, S. (2012). Strategic Management. Cengage Learning.

Evaluation Pattern

ASSESSMENT OUTLINE

Component

 

Description

Units

Maximum marks

Percentage

Total

CIA1

Docoumentry  Analysis and Case Analysis

1

40

15%

15

CIA2

Mid-term (Embedded case study 10 Marks)

1 & 2

50

25%

25

CIA3

Company Analysis Assignment

3, 4, 5

20

15%

15

Class Participation

 

 

10

10%

10

Class Attendance

 

 

5

5%

5

 

Total CIA out of  70

ETE

 

ALL

50

30%

30

Total

 

 

 

100

100

             

 

MBA441BN - BUSINESS FORECASTING (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: Business Forecasting is offered as a Discipline Specific Elective course offered in the fourth trimester for BA Specialization students. This course introduces advanced forecasting models that enable students to apply such models to business problems. The course is designed to provide students with the understanding of forecasting in various business domains. The course introduces various quantitative methods along with hands-on exercise and real-life problems where students can apply these models for analysing data from various business domains.

Course Objectives: 

At the end of the course, the students will be able:

1.To compare various types of forecasting

2.To identify data patterns

3.To contrast the various approaches to forecasting

4.To evaluate models using various measures

5.To elaborate the implications of forecasting on decision making

 

Learning Outcome

Unit-1
Teaching Hours:3
Introduction to Forecasting
 

Significance of Forecasting, History of Forecasting, Types of Forecasting, Forecasting process. 

Unit-2
Teaching Hours:7
Time Series Methods
 

Random Walk, Autocorrelation, Smoothing Methods, Holt-Winter Methods, Time Series Components, Stationarity, Additive & Multiplicative Models, MA, AR, ARIMA, lead-lag indicators, Box-Jenkins Methodology, Durbin Watson Test, Application of Time Series modelling to Decision Making

Unit-3
Teaching Hours:8
Time Series Models of Heteroscedasticity
 

Measuring Volatility of Financial Time Series, Volatility Clustering, ARCH and GARCH models, Application to Decision Making

Unit-4
Teaching Hours:6
Artificial Neural Networks
 

Introduction, Structure of ANNs, Types of Layers, Multi-layer Perceptron, Back Propagation, Model Training, Lab session using a software tool

Unit-5
Teaching Hours:6
Deep Learning Models
 

Need for Deep Learning, Regularization, Optimization for Training Deep Models, Overview of Deep Learning frameworks, Introduction to CNNs, RNNs and LSTMs.

Text Books And Reference Books:
  1. Hanke, J.E. and Wichern D., Business Forecasting, 9th edition, Pearson, 2015
  2. Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, MIT Press
  3. Francois Chollet, Deep Learning with Python. 

 

Essential Reading / Recommended Reading
  1. U Dinesh Kumar (2017), Business Analytics: The Science of Data-Driven Decision Making, WILEY 
  2. Gujarati, DN and Porter DC, Basic Econometrics, 5th edition, McGraw-Hill, 2009
  3. Greene WH. Econometric Analysis, 7th Edition, Pearson Education, 2010
  4. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L., Multivariate data analysis, 7th edition, Prentice hall, 1998
Evaluation Pattern
CIA-1 (Converted to 15) 15
CIA-2 (Converted to 25) 25
CIA-3 (Converted to 15) 15
Class Participation 10
Attendance 5
ESE 30
Total 100

MBA441FN - FINANCIAL ECONOMETRIC ANALYSIS (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Financial Econometric Analysis is offered as an elective course in the fourth trimester with 3 credits. The course is designed to provide students with the understanding of econometrics for analyzing financial and economic data and how to interpret the results for managerial decision making. The course focuses on application-oriented learning and thus will follow hands-on pedagogy and real-life data and problems where students can apply econometrics tools for analysis.

Learning Outcome

CLO1 : Understand the potential of data analysis in decision making and become comfortable with extracting and handling data

CLO2 : Apply econometric procedures to determine data characteristics

CLO3: Compare the different approaches for assessing relationships between economic/financial variables for a defined decision-making purpose

CLO4 : Construct econometric models

CLO5: Examine the implications of improper analysis for decision making

Unit-1
Teaching Hours:3
Introduction to econometrics
 

What is econometrics? Need for a separate discipline. Methodology of econometrics. Types of econometrics. Mathematical and Statistical prerequisites. Supervised vs. unsupervised learning. Types of econometric models based on characteristics of data sets (cross-section, time-series and panel data). 

Unit-2
Teaching Hours:8
Ordinary Least Square (OLS) Regression
 

Introduction to regression analysis. Regression vs. causation. OLS Model - assumptions, variable selection methods, and hypothesis testing. The classical linear regression models – SLR and MLR, the Gauss-Markov Theorem. Model fit – R2. Model diagnostics – multicollinearity detection and remedy, residual diagnostics and remedy– normality, autocorrelation and heteroscedasticity. Dummy variable regression models. Logistic Regression – model, classification table, AuC. Need for WLS and GLS.

Unit-3
Teaching Hours:7
Time Series Analysis I: Univariate time-series analysis
 

Stochastic process, components of times series data – trend, seasonality and cycle, concept of stationary process – need, auto correlation (ACF and PACF), unit root stochastic process and tests for stationarity. Decomposition of trend, seasonal, cyclical and random error components. Smoothing models – Moving average, Exponential smoothing models. AR, MA, ARMA and ARIMA model for forecasting – characteristics, identification of model using ACF/PACF graphs, determination of model parameters.

Unit-4
Teaching Hours:6
Time Series Analysis II: Multivariate time-series analysis
 

Introduction to multivariate time-series analysis. Building long-term relationship between variables, choosing the model based on stationarity of the data. Vector Auto Regression (VAR) – Form, estimation and interpretation of result. Cointegration and Error Correction Models (ECM). Cointegration tests – Johansen’s and ARDL. Granger causality.

Unit-5
Teaching Hours:6
Panel Data Regression
 

Introduction and form of the panel data regression model. Building panel-data regression based on stationarity of the data. Pooled OLS model – form and limitations. First difference, fixed effect and random effects model. Hausman’s specification test. Choosing between fixed effects, random effects and pooled OLS models. 

Text Books And Reference Books:

Gujarati, DN and Porter DC, Basic Econometrics, 5th edition, McGraw-Hill, 2009

Essential Reading / Recommended Reading

1.       Bhowmik, Sankar Kumar, Principles of Econometrics 1st Edition, Oxford, 2015

2.       Greene WH. Econometric Analysis, 7th Edition, Pearson Education, 2010

3.       Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L., Multivariate data analysis, 7th edition, Prentice hall, 1998

Evaluation Pattern

As per University norm

MBA442BN - MACHINE LEARNING ALGORITHMS-I (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This is a three-credit course offered as a Discipline Specific Elective during fourth trimester for all Business Analytics Specialization students. This course provides the core knowledge and skills needed in the area of Machine Learning Algorithms. Businesses today accumulate large amounts of data through their transaction processing systems and social networks.  There is tremendous potential in such data to extract vital information for better business decision making.

Course Objectives:

At the end of the course, students would be able to

     1. Make use of R programming skills for data exploration

     2. Experiment with Machine Learning Algorithms

     3. Examine business problems using Machine learning algorithms 

     4. Compare classification and prediction models in the real-world scenario  

 

     5. Appraise business problem using Machine Learning Algorithms

 

Learning Outcome

Unit-1
Teaching Hours:3
Machine Learning Algorithm for Decision Making
 

Introduction to Machine Learning Algorithms, Supervised and Unsupervised learning, Use of Machine Learning for customer churning, prediction, segmentation. Issues in Prediction and Ethics in Machine Learning*

Unit-2
Teaching Hours:6
Sales and Revenue prediction
 

Using Simple and Multiple Linear Regression, step wise regression, forward and backward methods, Model building, Model Validation and residual analysis. Economic significance, Marketing action on regression outputs  

Unit-3
Teaching Hours:6
Defaulter prediction in Banking
 

Using Logistic Regression and Discriminant analysis for fraud detection of customers in banking sector.

Model estimation, Binary logit and multinomial models.

 

Concept of Discriminant analysis, fisher function, fitting the model, validation of the model fit and model performance assessment. Economic significance, Marketing action on regression outputs

 

Unit-4
Teaching Hours:7
Attrition prediction
 

Using Classification Trees for Segmentation, Identification of strategies in Human Resources 

Concept, Introduction to Decision trees and random forest, Concept of Partitioning, Data pre-processing, Model training, Model building in R, Model comparison, parameter tuning.

 

Unit-5
Teaching Hours:8
Fraud detection in Finance
 

Customer classification problem in Finance for fraud detection Using SVM and KNN

Introduction, Hyper plane, Maximal Margin Classifier, Soft Margin Classifier, Kernels, Model building in R

 

Text Books And Reference Books:

1.U Dinesh Kumar (2017), Business Analytics: The Science of Data - Driven Decision Making, Wileys

Essential Reading / Recommended Reading

1.Turban, E., Aronson, J. E., Liang, T.-P., & Sharda, R. (2010). Decision support and business intelligence systems (9th ed., p. 720). Prentice-Hall.

2.Berson, A., Smith, S. J., & F. (1997). Data Warehousing, Data Mining and OLAP (1st ed., p. 640). Computing McGraw-Hill.

3.Han, J., &Kamber, M. (2000). Data Mining: Concepts and Techniques (1st ed., p. 550). Morgan Kaufmann

4.Shmueli, G., Patel, N. R., & Bruce, P. C. (2008). Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner (2nd ed., p. 428). Wileys

 

Evaluation Pattern
CIA-1 (Converted to 15) 15
CIA-2 (Converted to 25) 25
CIA-3 (Converted to 15) 15
Class Participation 10
Attendance 5
ESE 30
Total 100

MBA442FN - BUSINESS VALUATION (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This course is intended to enhance the skill level of the students in financial analytical and valuation skills. In this course, the students would be exposed to Industry analysis, business strategy analysis for performing the financial analysis leading to equity valuation. This course also involves developing a financial model to perform equity valuation of a real company through Discounted Cash flow method. It also emphasize on other techniques of valuation such as relative valuation, Residual Income and replacement value. 

Course Objectives: This course attempts to enhance the skill level of the students in business strategy analysis, financial analysis, prospective analysis to build an equity valuation model of a business and communicate the valuation through report writing.  

Learning Outcome

CLO1 : Distinguish different methods of equity valuation

CLO2 : Analyze the Industry and strategies of the business to forecast the future

CLO3: Build discounted cash flow model to value a listed company

CLO4 : Prepare the equity valuation research report in the appropriate format and structure

CLO5: Discuss the dynamics of valuation of young and distressed companies

Unit-1
Teaching Hours:3
Approaches to Valuation
 

Discounted cash flows, Free Cash Flow to Equity and Free Cash Flow to Firm- Estimation issues- Relative Valuation using multiple approach – comparison across firms and sectors P/E approach -Price to Book ratio- Price to Sales – Enterprise value to  EBITDA

Unit-2
Teaching Hours:6
Industry Analysis for DCF valuation
 

Business cycle analysis - Reading the industry specific parameters – Analysis of business  ratios of  various sectors-Macro economic factors affecting the industry- Market structure- Analysis of competitive environment- Industry concentration using Herfindahl-Hirschman Index- Understanding the value drivers of the industry- collating the key trends in the Industry.

Unit-3
Teaching Hours:12
Equity Valuation model of Publicly traded Companies
 

Identify the business model- Revenue and cost drivers-   Building the financial model - Forecasting financial statements using FCFE and FCFF multi stage growth options - Estimation of capital expenditure and working capital requirement-, , Calculation of  Weighted Average Cost of Capital– Selecting a terminal growth rate- Arriving at the equity value of the company - Sensitivity analysis of the model- Estimating the market multiple 

Unit-4
Teaching Hours:3
Equity Research Report Writing
 

Investment Note Writing-Buy side and sell side reports- Different principles of logic and structure of the report- Use of Info graphic and use of linking words in report writing- Investment Note writing- principles of logic and structure of the report- Use of Info graphic and use of linking words in report writing     

Unit-5
Teaching Hours:6
Special Cases in Valuation
 

Valuation of young companies, privately held companies, distressed companies- the principles and the challenges 

Text Books And Reference Books:

Damodaran, Aswath (2011), Damodaran on Valuation, Wiley Publications, 2nd Edition   

Essential Reading / Recommended Reading

Tim Koller, Marc Goedhart, David Wessels (2015), Valuation: Measuring and Managing the Value of Companies, 6th edition 

Evaluation Pattern

As per University norms

MBA442MN - CONSUMER BEHAVIOUR (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This course is offered as a marketing elective in the fourth trimester. It is a three-credit course that helps students understand the behavior of consumers before and after purchase. The course helps students gain valuable conceptual knowledge of how the concepts of motivation, perception, personality and other behavioral studies influence the consumer in making purchase decisions. It also gives an insight to the students about the decision-making process and the growing significance of consumer behavior study in various other areas of marketing.

Course Objectives: This course attempts to help students gain valuable conceptual knowledge of how the behavior of consumers change and influences their decisions

Learning Outcome

Unit-1
Teaching Hours:6
Introduction to Consumer Behaviour and consumer decision making
 

Role of Consumer Behaviour in Marketing -Development of Consumer Behaviour field, Consumer behavioral models - Howard-Sheth model of Buying Behaviour. Ethics on consumer research Diffusion of Innovations; Types of Innovations; The Diffusion process-consumer and industrial; The adoption process; Product characteristics and consumer resistance; Diffusion enhancement strategies; A profile of the consumer innovator.

Unit-2
Teaching Hours:6
Consumer Needs and Personality
 

Consumer Needs and Motivation, Meaning of Motivation; Needs and Goals; Dynamic Nature of Motivation; Types& System of needs Maslow’s Hierarchy of needs-McClelland’s Theory of need Achievement, Vroom’s Expectancy theory-Freud’s Psychoanalytical theory

Personality & Consumer Behaviour Meaning and nature of Personality; Freudian & Trait theories of Personality; Self Concept - Self Images; Lifestyle and AIO inventories; Brand Personality.

Unit-3
Teaching Hours:6
Consumer Perception
 

Meaning and dynamics of Perception – Absolute and Differential threshold; Selective Perception; Consumer Imagery-Brand Image; Perception of Quality; Perception of risk; Perceptual Organization; Categorization, Inference

Unit-4
Teaching Hours:6
Consumer Learning
 

Learning & Cognitive Process- Meaning of Learning; Behavioral Learning Theories-Classical and Operant ConditioningObservational Learning; Cognitive Learning Theories; Memory, Schema, Brand Loyalty

Unit-5
Teaching Hours:6
Consumer Attitude
 

Nature and function, Attitude formation; Structural Models of Attitude-Tricomponent and Multi-Attribute model-TORA, Attitude Change and Underlying Models, Elaboration Likelihood Model and Attribution theory.

Text Books And Reference Books:

Schiffman, Leon G., Wisenblit, Joseph & Kumar, S. Ramesh.(2019). Consumer Behaviour (12th ed.).Pearson Education

Essential Reading / Recommended Reading

Loudon, D., Bitta, A. D., (2017). Consumer behavior (4th ed.). McGraw Hill Education.

David, L. M., Hawkins, D. I., & Mookerjee, A. (2019). Consumer behavior: Building Marketing Strategies (13th ed). McGraw-Hill.

Evaluation Pattern

Component

 

Maximum marks

Weightage

Total

CIA1

15

100%

15

CIA2

50

50%

25

CIA3

15

100%

15

Class Participation

10

100%

10

ETE

50

60%

30

Attendance

 

 

5

 

 

 

100

MBA443BN - BUSINESS INTELLIGENCE AND DATA VISUALIZATION (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: 

This is a three-credit course offered as a Discipline Specific Elective during the fourth trimester for all Business Analytics Specialization students. Students learn about the various sources of data and the need to draw meaningful business insights from its explosive growth. The process of transforming transaction data into analytical data through ETL modelling is discussed. 

A message which cannot be conveyed through a large set of texts can be presented through visual imagery. The course includes hands–on exposure to visualization tools. The course would help the students to quickly examine large amounts of data, visualize trends and issues efficiently and influence decision making.

It is expected that the students who take up this course will have basic understanding about fundamentals of databases, RDBMS concepts and Entity Relationship modelling.

 

Course Objectives: 

At the end of the course, students should be able:

1.To make use of data by imbibing a culture of data-driven decision making in organizations. 

2.Apply the fundamentals of Data warehousing using ETL model. 

3.Examine queries, reports from OLAP cubes using a Business Intelligence Tool.

4.Analyze data in an appropriate visual form by using visualization tools.

5.Deduct an effective story from a given set of data by designing dashboards.

 

 

Learning Outcome

Unit-1
Teaching Hours:5
Introduction to Business Intelligence
 

Terminology, Evolution of BI, OLAP vs OLTP, OLAP basics, Data models for OLAP, ERP and BI, Popular BI tools, Use of Excel for BI (Pivot table)

Unit-2
Teaching Hours:6
Online Analytical Processing
 

Dimensions, Cubes, Measures, Drill-down, Roll-up, Slice-and-dice, MOLAP, ROLAP, HOLAP, Building an OLAP cube**

Application of BI, Users of BI, BI for advanced reporting

 

Unit-3
Teaching Hours:6
BI and Data warehouse Concepts
 

Data Warehouse Need, Definition and Characteristics, Types of data sources, ETL, Multidimensional data modelling, Entity Relationship & Multidimensional modelling, Star and Snowflake schemas Data marts, Top-down and Bottom-up approaches to DW architecture, BI and DW implementation issues, Data quality, Data auditing.

Unit-4
Teaching Hours:9
Data Visualization through Tableau
 

Purpose of data visualization, guiding principles - Good & Bad representation, Use of colour & scales, Types of charts, relevant use of charts for various scenarios

Creating a plot, Histograms, Line charts, Bar charts, Pie charts, Box plots, Scatter plots

Concepts, KPIs, Visual representation, Using BI for building dashboards, business metrics, scorecards, Interactive dashboards, Story-telling through dashboards

 

Unit-5
Teaching Hours:4
Advanced Topics in Business Intelligence
 

Cloud computing, SaaS model, Big Data & Hadoop Distributed File System, Mobile BI, Socialmedia, Intelligence from Social networks, Latest trends in BI, Ethical aspects of Business Intelligence.

Text Books And Reference Books:
  1. Prasad, R. N., & Acharya, S. (2016). Fundamentals of Business Analytics (1st ed., p. 348). Wiley India.
Essential Reading / Recommended Reading
  1. Soukup, T., & Davidson, I. (2002). Visual Data Mining (First ed.). New Delhi: Wiley dreamtech India Pvt. Ltd.
  2. Turban, E., Aronson, J. E., Liang, T.-P., &Sharda, R. (2010) Decision support and business intelligence systems (9th ed., p. 720). Prentice-Hall.

 

Evaluation Pattern
CIA-1 (Converted to 15) 15
CIA-2 (Converted to 25) 25
CIA-3 (Converted to 15) 15
Class Participation 10
Attendance 5
ESE 30
Total 100

MBA443FN - DERIVATIVES (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course is offered to students of MBA (Finance) program. It provides comprehensive knowledge about the concepts underlying the functioning of the different types of Derivatives instruments and Derivatives markets. It also generates interest in students for them to consider this area for their career growth.

Learning Outcome

CLO1 : Understand the working of Derivatives instruments, including Forwards, Futures, Options and Swaps.

CLO2 : Assess the effectiveness of different hedging strategies using Forward and Futures contracts.

CLO3: Evaluate the effectiveness of different trading strategies using Call and Put Options, and Swaps.

CLO4 : Determine the prices of Call and Put Options using Binomial and Black-Scholes-Merton models.

CLO5: Examine the research work that has been undertaken in the field of Derivatives

Unit-1
Teaching Hours:3
Derivatives ? An Introduction
 

Introduction, Risk management, Derivatives, Derivatives Products, Classification of Derivatives, Participants in Derivative Markets, Evolution of Derivatives, Functions of Derivatives Markets, Misuse and Criticism of Derivatives

Unit-2
Teaching Hours:8
Forwards and Futures
 

Forward Contract, Settlement of Forward Contract, Futures Contract, Specifications of Futures Contract, Open Interest, Difference between Forward and Futures Contract, Pricing a Forward and Futures Contract.

Commodity Futures, Benefits of Commodity Futures, Pricing Commodities Futures, Hedging with Commodities Futures, Perfect and Imperfect Hedge, Basis & Basis Risk, Optimal Hedge Ratio. Stock and Index Futures, Futures Contract on Indices and Individual Stocks, Features and Specifications of Stock and Index Futures, Pricing Stock and Index Futures, Application of Index Futures, Hedging through Index Futures. Interest Rate Forwards And Futures, Forward Rate Agreement (FRA), Hedging with FRA, Speculation with FRA, Arbitrage with FRA, Eurodollar Futures.   

 

Unit-3
Teaching Hours:6
Swaps and Options
 

Interest Rate and Currency Swap, Features of Swap, Need for Swap Intermediary, Applications of Swaps, Rationale for Swaps - Comparative Advantage, Types of Interest Rate Swaps. Options, Call Options, Put Options, Moneyness of Options, Types of Options, Understanding Options Quotations, Trading and Settlement of Options, Margins in Options, Differences between Options and Futures/ Forwards.

 

 

Unit-4
Teaching Hours:10
Options Pricing
 

Intrinsic Value and Time Value, Arbitrage based Relationship of Option Pricing, Put Call Parity. Binomial Option Pricing Model, Applying Binomial Model, Factors Affecting Options Price, Black Scholes (BS) Options Pricing Model, Assumptions of BS Model, Interpreting the BS Model, Measuring Historical Volatility, Implied Volatility. Hedging with Stock Options, Hedging with Index Options, Straddle, Strangle, Straps and Strips, Bull Spread, Bear Spread, Butterfly Spread, Factors Affecting the Spread.

Unit-5
Teaching Hours:3
Credit Derivatives
 

Credit Derivatives, Types of Risk, Assessing Credit Risk - The Probability of Default, Credit Default Swaps.

 

Text Books And Reference Books:

Options, Futures and Other Derivatives, John C. Hull and Sankarshan Basu, Pearson Education.

Essential Reading / Recommended Reading

1.       Derivatives: Principles and Practice, Sundaram and Das, McGraw Hill.

2.       Derivatives Markets, Robert McDonald, Boston: Addison-Wesley.

3.       Analysis of Derivatives for CFA Program, Don M Chance, AIMR.

4.       Futures and Options, Vohra and Bagri, Tata McGraw Hill.

5.       Derivatives Demystified, Andrew M. Chisholm, John Wiley and Sons.

Evaluation Pattern

As per University norms

MBA443MN - MARKETING METRICS (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Marketing Metrics is a marketing specialization course designed to develop students to use numbers in assessing marketing strategy. The course reviews the different measures marketers and other decision-makers use in corporations. It covers metrics for understanding the value of brands, customer loyalty, and profitability and measuring the performance of marketing activities. This course examines the importance of managing marketing data in effective decision-making. It presents the role of marketing metrics within the organization and establishes how an understanding of a range of measurement techniques can enable organizations to achieve marketing objectives through strategic decision-making.

This course attempts to provide students with an overview of tools and techniques that can be used to quantify the strategic value of marketing initiatives

Learning Outcome

CLO-1: Identify the importance of marketing metrics for organizations? sustainability endeavours.

CLO-2: Examine the market performance of a business unit for strategic decision making.

CLO-3: Compare marketing investment decisions of a business unit across industries.

CLO-4: Analyse pricing strategies for managing product portfolios of a business unit.

CLO-5: Evaluate promotional profitability for a global business organization.

Unit-1
Teaching Hours:3
Introduction to Metrics
 

The alignment of business objectives, strategies and metrics; the potential gap between metrics and business outcomes, people, planet and profit, the importance of marketing metrics, measuring market effectiveness.

Unit-2
Teaching Hours:6
Share Metrics
 

Market share, relative market share, market concentration, market penetration, brand penetration, penetration share, share of requirements,  Heavy usage index, market share decomposition, brand development index and category development index.

Unit-3
Teaching Hours:6
Margins and Profits
 

Variable and fixed costs, margins, mark-ups, contribution per unit, average price per unit, margin, breakeven sales level,unit,contribution margin, breakeven sales level, Target profit, rate of return on sales and breakeven on incremental investment.

Unit-4
Teaching Hours:9
Pricing, Product and Portfolio Management
 

Price premium, maximum reserve price and maximum willingness to buy, price elasticity, optimal price, Price discrimination, competitor reaction, elasticity and cross and residual price elasticity. Trial volume and trial rate, repeat volume and repeat rate, adjusted trial rate, cannibalization.

 

Unit-5
Teaching Hours:6
Sales Metrics
 

Sales funnel, sales pipeline, lead, closure rate, sales forecasting, workload, sales force effectiveness. Cost per click, cost per order, and cost per customer acquired, bounce rate, abandonment rate. Baseline sales, incremental sales, Promotional lift, return on marketing investment, coupon redemption, pass-through, gross rating points, impression, Customer lifetime value, retention rate, attrition rate& churn rate. Cost per thousand impressions, reach, frequency, share of voice, page views, visitors, Click-through rates.

Text Books And Reference Books:

1.      Seiden, J. (2019). Outcomes Over Output: Why customer behaviour is the key metric for business success. Independently published (April 8, 2019).

 

2.      Whittington, S. (2019). Thriving in the Customer Age: 8 Key Metrics to Transform your Business Results Calvin Simpson (August 23, 2019).

Essential Reading / Recommended Reading

1.    1.  HCL Technologies: Pushing the Billion-Dollar Website Srividya Raghavan, Apurva Chamaria and Guarav Kakkar [2021] HBR

 

2.     2. Schiit Audio Does it Make Sense to Sell on Amazon? Michael A.Stanko, Jeff Pollack [Nov 2020] HBR.

1.    Articles-

 Metrics: You are what you measure, European Journal of Management [1998]

2.     How to measure engagement in Twitter: advancing a metric, Emerald Insight [2017] 

3.     Emerald Case Study: Building a culture of business analytics; a marketing analytics exercise [2018]  - Self Reading

4.     Reimagining Customer service through journey mapping and measurement, Emerald Journal of Marketing [10 April 2020] – Self Reading

 

5.     Do your marketing metrics show you the full picture, Paul Magill and Chritine Moorman, HBR [2022].

Evaluation Pattern

Component

 

Description

Units

Maximum marks

Weightage

Total

CIA1

Awareness, Attitudes and Usage Analysis (AAU): Metrics of Hierarchy of Effects model.

1,2

20

75%

15

CIA2

Written Exam

1,2&3

50

50%

25

CIA3

A Report on brand valuation methods

4&5

20

75%

15

ETE

Written Exam

1,2,3,4&5

50

60%

30

 

Class Participation

 

10

100%

10

Attendance

 

 

 

 

5

 

 

 

 

Total

100

MBA444MN - STRATEGIC MARKETING MANAGEMENT (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: The course is designed to provide students, knowledge about market-driven and market driving strategies for the success of a firm. The focus is on understanding the role of 163 strategic decision making in marketing across different areas from segmenting, product decisions, pricing, distribution, ethical practices to name a few of them. Students would have the opportunity to practice creative problem solving and decision-making through case studies finally leading to design and development of market-driving strategies.

Course Objectives: This course attempts to provide students, knowledge about market-driven and market driving strategies for the success of a firm.

Learning Outcome

Unit-1
Teaching Hours:6
Foundations of Strategic Marketing Management
 

Defining the organization’s business, mission, and goals; Identifying organizational growth opportunities; Formulating product-market strategies; Budgeting marketing, financial and production resources; Developing reformulation and recovery strategy

Unit-2
Teaching Hours:6
Strategic segmentation and opportunity analysis
 

Opportunity analysis – Opportunity identification; Opportunity-organization matching; Opportunity evaluation; Strategic segmentation and variables; Market sales potential and profitability. 

Unit-3
Teaching Hours:6
Product and service Strategy and Strategic Branding
 

Offering portfolio; Modifying offering mix and rationalization; Life cycle concept; Brand equity and strategic brand management process; Analyzing competitive landscap

Unit-4
Teaching Hours:6
Channel Strategy and Management
 

Channel selection decision; Capitalizing on internet driven growing distribution channels; Dual distribution and multi-channel marketing; Satisfying intermediary requirement and trade relations; Qualitative and quantitative assessment of modifying channel decisions

Unit-5
Teaching Hours:6
Pricing strategy and Management
 

Pricing considerations; Product line pricing; New offering pricing strategy; Pricing and competitive interaction

Text Books And Reference Books:

Kumar, N. (2004). Marketing as Strategy. Massachusetts: Harvard Business School Publishing.

Essential Reading / Recommended Reading

Kerin, R. A., and Peterson, R. A., (2011).Strategic Marketing Problems; Cases and Comments, 12th Ed, Dorling Kindersley

Anderson H. C. and Vincze W. J. (2004), Strategic Marketing Management 2 nd Ed, Boston: Houghton Mifflin Company.

Evaluation Pattern

The continuous assessment will be in the form of CIA-I, CIA-II, CIA-III and End-term assessment. The internal assessment will be done using components like field study, case studies, written assignments which requires drawing inferences and applying real-world examples. Some of these CIAs need to be done individually, and some needs to be done in teams.

MBA461LN - DIGITAL TRANSFORMATION TECHNOLOGIES (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: 

This course is offered as a three-credit generic elective for students of all specializations. The course provides foundational knowledge of key emerging technologies used for the digital transformation of enterprises.

Course Objectives: 

At the end of the course, students should be able:

1.To study the concepts of Industry 4.0 & Services 4.0 and their impact on business 

2.To appraise the application of Artificial Intelligence, cognitive computing & extended reality in a business environment 

3.To evaluate the application of IoT and cybersecurity for solving business problems and the and RPA

4.To describe the use of Blockchain design principles in a business context

5.To assess the emerging disruptive technologies in a business context

 

Learning Outcome

CLO-1: Examine the concepts of Industry 4.0 & Services 4.0 and their impact on business

CLO-2: Evaluate the application of Artificial Intelligence, cognitive computing & extended reality in a business environment

CLO-3: Appraise the application of IoT and cybersecurity for solving business problems and the use of RPA

CLO-4: Explain the use of Blockchain design principles in a business context

CLO-5: Evaluate emerging disruptive technologies in a business context

Unit-1
Teaching Hours:6
Introduction and Overview
 

Introduction to Digitize, Digitalize, and Digital Transformation. Importance, need for digital transformation, and why it matters; Industry 4.0 and Service 4.0; Indian and global initiatives in embracing Digital Transformation; Spotting Digital Threats and Opportunities. Innovator’s dilemma, The 5 Principles of Disruptive Innovation for Business Success, Gartner Hype Cycle

Unit-2
Teaching Hours:6
Artificial Intelligence, Cognitive Computing and Extended Reality
 

Review of Artificial Intelligence, Machine Learning, Artificial Neural Networks, Democratized AI and Cognitive Computing. Affective Computing and Emotional AI; Understanding Computer Vision and Conversational Platforms; Basics of Virtual Reality, Mixed Reality, Immersive Reality; Experiencing Augmented Reality.

Unit-3
Teaching Hours:9
Internet of Things Robotics and Wearables and RPA
 

IoT Background and Trends, Elements of IoT And Its Ecosystem. Understanding IoT Business Value Proposition. IoT Project Steps, Adopting IoT into an organization. IoT Security Essentials. Standards and Frameworks for IoT. Cyber-Physical Systems; 

Industrial Autonomous Robots, Consumer Robots & Assistants. Drones, Autonomous Vehicles, and AGV. Current & Emerging types of Wearable Technologies. Design Services Around Wearable Devices. Key Wearable Services Design Concepts. Processing Framework for Wearable Technology. Storytelling for Introducing New Wearables; 

Review and hands-on on Robotic Process Automation (on any open-source tool)

 

Unit-4
Teaching Hours:5
Blockchain
 

Understanding components of Blockchain – Hashing, Encryption, Distributed Ledger; The Trust Protocol, Design Principles of the Blockchain Economy; New Business Models using Blockchain, Implementation Challenges. Regulations and Frameworks.

Unit-5
Teaching Hours:4
Emerging Trends and Ethical Issues
 

Review of Cloud, Big Data, Edge Computing, Micro Services; Latest Published Technology Trends by Deloitte, Gartner, and Accenture; Human aspects of digital transformation, being people-centric; Road map for digital transformation. Success and Failure factors; Ethical and Societal Challenges Associated with Digital Technologies.

Text Books And Reference Books:
  1. Schwab, K. (2017). The Fourth Industrial Revolution. Portfolio Penguin.
  2. Finlay, S. (2017). Artificial Intelligence and Machine Learning For Business (2nd ed). Relativistic
  3. Tapscott, D., Tapscott, A. (2018). Blockchain Revolution (2nd ed). Portfolio Penguin.
  4. Sullivan, S., (2017). Designing for Wearables: Effective UX for Current and Future Devices, O'Reilly.
  5. Christensen, C.M. (2013). Innovator's Dilemma: When New Technologies Cause Great Firms to Fail, Harvard Business Press.
  6. Lacity, M., Willcocks. L. (2018). Robotic Process and Cognitive Automation: The Next Phase. Steve Brookes Publishing

 

Essential Reading / Recommended Reading
  1. Fingar, P. (2015). Cognitive Computing: A brief guide for Game Changers. Meghan Kiffer Press
  2. Kranz, M. (2017). Building the Internet of Things: Implement New Business Models, Disrupt Competitors, Transform Your Industry. Wiley.
  3. Christensen, C.M., Raynor. M.E. (2013). Innovator's Solution: Creating and Sustaining Successful Growth, Harvard Business Press.
  4. Kelly, K. (2016). The Inevitable, Penguin.
  5. Frankish, K., Ramsey, W (eds.). (2014). The Cambridge Handbook of Artificial Intelligence. Cambridge University Press

 

Evaluation Pattern
CIA-1 (Converted to 15) 15
CIA-2 (Converted to 25) 25
CIA-3 (Converted to 15) 15
Class Participation 10
Attendance 5
ESE 30
Total 100

MBA462MN - FUNDAMENTALS OF SERVICE MARKETING (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This is a cross-functional elective course offered in the third trimester to students across all specializations. Students learn various aspects of Services Management in terms of concepts, operations, opportunities and challenges.

Course Objectives: To impart knowledge needed to implement quality service and service strategies across all e industries, such as banks, hotels, hospitals, educational institutions, professional services and other goods industries that depend on service excellence for competitive advantages. This course attempts to enable students to apply relevant theories and concepts to various aspects of doing business abroad and to deal with foreign firms and competition in domestic market.

Learning Outcome

CLO1 : To identify the service encounter faced/experienced by customers with service providers

CLO2 : To construct e service model for different service organization with a strategic focus to heighten distribution of services

CLO3 : To analyse service process redesign for enhancing both service quality and productivity

CLO4 : To recommend service recovery process and develop quality assurance procedure (

CLO5 : To estimate the GAPS to be overcome to serve consumers better

Unit-1
Teaching Hours:5
Understanding Service Markets, Products and Customers
 

1) Perspectives on Marketing in the Service Economy: Introduction to services, importance & role in new economy, distinguishing characteristics from physical products posing marketing challenges, expanded marketing mix.

2) Customer Behaviour in Service Encounters: Customer decision making: The 3 stage model of 208 service consumption, understanding service encounters, defining moments of truth, Customer expectation and perception of services

Unit-2
Teaching Hours:9
Building the Service Management Model
 

1) Developing Service Concepts: Defining the core and supplementary elements of a service, The flower of service, Planning and branding service products, Development of new services.

2) Distributing Services: Determining the type of contact: Options for service delivery, Place and time decisions, the role of intermediaries, Distributing services internationally.

3) Pricing and Revenue Management: Tripod strategy of pricing, Activity based costing, Demand elasticity based on pricing & customer segments, Yield management to maximize revenues.

4) Services marketing communication: Setting communication objectives, Challenges (intangibles) and opportunities in communicating services, Marketing communications mix using internet.

Unit-3
Teaching Hours:9
Managing the Customer Interface in organisations
 

1) Designing and managing service processes: Blueprinting service operations to create valued experiences, Service process redesign, The customer as co-producer. Designing and managing in the context of all organisations including organisations selling financial products and designing operations area as a supportive element.

2) Balancing Demand & Productive Capacity: Patterns & Determinants of demand, managing demand levels, overcoming capacity constraint, Inventory demand through waiting lines & reservations.

3) Crafting the Service Environment: Understanding consumer responses to service environments, Dimensions of the service environment.

4) Managing People for Service Environment: Importance of Service Employees and the need of HR department to train, educate all levels of employees to perform their roles effectively, Frontline & back office, Cycles of failure, mediocrity and success, Human resource management, Service Leadership & Culture.

Unit-4
Teaching Hours:4
Implementing Profitable Service Strategies
 

1) Managing relationships & building loyalty: Customer loyalty, The Wheel of loyalty, Creating loyalty bonds, Strategies for reducing customer defections, CRM.

2) Achieving Service Recovery: Customer complaining behaviour, Principles of effective service recovery systems, Service guarantees, discouraging abuse and opportunistic behavior, learning from customer feedback. 

Unit-5
Teaching Hours:3
Application of GAPS Model
 

Improving Service Quality and Productivity: Integrating service quality and productivity strategies, what is service quality, The GAPS model- A conceptual tool to identify and correct service quality problems, Measuring and improving service quality, improving service productivity. 

Text Books And Reference Books:

Lovelock,C., Wirtz, J.& Chaterjee, J. (2017).Services marketing. Pearson Prentice Haller.

 

Essential Reading / Recommended Reading

Zeithml, V.A. , Bitner,M.J., DwayneD. Gremler, & Ajay Pandit (2018).Services marketing. TataMcGraw- Hill Edition.

Shankar, R. (2011). Services marketing. Excel Books.

Apte, G. (2011). Services marketing. Oxford University Press.

Evaluation Pattern

CIA I 15 Marks 15% Weightage

CIA II 50 Marks 25% Weightage

CIA III 15 Marks 15% Weightage

Class Participation 10 Marks 10% Weightage

ESE 50 Marks 30% Weightage

Attendance 5 Marks 5% Weightage

MBA481N - SUMMER INTERNSHIP PROJECT (2022 Batch)

Total Teaching Hours for Semester:40
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Summer internship project (SIP) is a key requirement to complete the MBA programme. The student will have to identify and get in touch with a reputed organisation keeping in mind their specialization, area of interest learning potential and possible career opportunities. The student is expected to gain hands on training in a specific work area/role in the organisation after understanding products, processes, design culture, and all other relevant aspects of the organisation. The specific role that the student will be playing in the organisation and the scope of their work in the department will have to be finalised in consultation with the corporate mentor and with the approval of the academic mentor. SIP is expected provide students with an opportunity to apply their class room learning to a real life business situation. The students are required to submit a final report in the specific format detailing their learning in the organisation in addition to appraising their academic mentor of the weekly progress. 

Learning Outcome

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CIA I 15 Marks 15% Weightage

CIA II 50 Marks 25% Weightage

CIA III 15 Marks 15% Weightage

Class Participation 10 Marks 10% Weightage

ESE 50 Marks 30% Weightage

Attendance 5 Marks 5% Weightage

MBA531 - MANAGEMENT SCIENCE (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This paper is offered as a common core course in the fifth trimester. It develops and nurtures an analytical attitude and prepares students for careers in all possible walks of life. It portrays and formulates optimization methods for different business situations. The course has two approaches – mathematical and probabilistic.

Course Objectives: 

At the end of the course, students should be able:

1.    To solve Linear Programming Problems.

2.    To apply techniques of solving Transportation and Assignment problems in business scenarios.

3.    To examine Game theory problems in the context of business competitors.

4.    To discover optimum job sequences and simulation techniques.

5. To estimate market share in the short and long-term using Markov chains

 

Learning Outcome

CLO-1: Develop the knowledge of Linear Programming Problems.

CLO-2: Build transportation and assignment problems in business scenarios.

CLO-3: Analyze business problems using Game theory.

CLO-4: Examine job sequencing and simulation problems.

CLO-5: Evaluate market share in the short and long term using Markov chains.

Unit-1
Teaching Hours:7
Introduction to Operations Research and LPP
 

Introduction: Evolution - importance - scope and impact on business - Models - by function; by structure; by environment - limitations of OR techniques. Introduction to LPP- formulation, Graphical method, Sensitivity analysis, and Duality theory. Overview of the Simplex method.Formulating and developing a spreadsheet model for LPP and use of Excel Solver. Solution and Sensitivity Analysis using Excel.

Unit-2
Teaching Hours:8
Transportation and Assignment Problems
 

Nature and scope - Optimal solution - North West Corner rule - Matrix minima method - VOGEL’s Approximation Method (VAM) - Test for optimality - Modified Distribution Method (MODI) - Unbalanced transportation problems. Spreadsheet models for Transportation problems.

Hungarian method - Unbalanced assignment - Maximization in assignment - Travelling salesman problem - Transshipment problem. Flight assignment problems. Spreadsheet models for Assignment problems.

Unit-3
Teaching Hours:3
Game Theory
 

Introduction to Game theory- Definition - Payoff - Types of games - 2-person zero sum game –maximin/minimax principle. Applications of Saddle point theorem.

Unit-4
Teaching Hours:4
Sequencing and Simulation
 

Sequencing: Processing n jobs through 2 and 3 machines.

Simulation: Introduction - random number generation - Monte Carlo Technique - application.

 

Unit-5
Teaching Hours:8
Application of Markov Chains and Queuing Theory
 

Applications of Transitions Matrices of Markov Chains - Brand Switching Analysis, Attrition Analysis, Spreadsheet models., Queuing Theory: Features of the Waiting Line system - Kendall’s Notation - Queuing models - Single Channel/Infinite capacity.

Text Books And Reference Books:
  1. Anderson, D.R., Sweeney, D.J., Williams, T.A., Camm, J.D., Martin, K. (2016). Quantitative Methods for Business, 12th Edition. Boston: Cengage Learning.
Essential Reading / Recommended Reading
  1. Vohra N D (2010). Quantitative Techniques in Management (4 ed.). New Delhi: McGraw Hill Ed.
  2. Hillier, F. S. & Hillier, M.S. (2014). Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets, 5/e. New Delhi: McGraw-Hill Education.
  3. Hillier, F.S.& Lieberman, G.J. (2015). Introduction to Operations Research, 10/e. New Delhi: McGraw Hill Education.
  4. Taha, H.A. (2017).  Operations Research: An Introduction (10th Edition). Noida: Pearson India Education Services Pvt. Ltd.
  5. Pradeep Prabhakar Pai (2012). Operations Research Principles and Practice. Oxford Higher Education.
Evaluation Pattern

Sl.No

Particulars

Weightage

1

CIA- I

20

2

CIA-II

25

3

CIA-III

20

4

End Trimester Exam

30

5

Attendance*

05

MBA541B - BIG DATA ANALYTICS (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description:  This is a Discipline Specific Elective course offered to the Business Analytics students in their fifth trimester. The course encompasses fundamentals of Big Data, Big Data architecture and Big Data ecosystem and basics of Cloud Computing. By the end of the course, students will be able to independently work on Big Data platforms spanning different domains.

Course Objectives:

At the end of the course, a student should be able:

1.       To identify the significance of big data concepts and its eco system.

2.       To apply the big data distributed computing techniques.

3.       To contrast between Traditional and Big Data Processing

4.       To analyse big data models

To assess the business use cases of Big Data Analytics

Learning Outcome

CLO1: Identify the significance of big data concepts and its eco system

CLO2: Apply the big data distributed computing techniques.

CLO3: Contrast between Traditional and Big Data Processing

CLO4: Analyze big data models

CLO5: Assess the business use cases of Big Data Analytics

Unit-1
Teaching Hours:3
Introduction to Big Data Ecosystem
 

Importance of Big Data, Description of open-source Hadoop ecosystem and its near-term future directions, Major challenges of data, contribution of growth of interconnected devices to Big Data, Types of Big Data, Evolution from Traditional Data processing to Big Data Processing

Unit-2
Teaching Hours:5
Big Data Ecosystem - I
 

Introduction to Apache Hadoop and its ecosystem – HDFS, YARN, MapReduce. Hortonworks Data Platform (HDP), Apache Ambari

Unit-3
Teaching Hours:8
Big Data Ecosystem ? II
 

Apache Spark – the general-purpose distributed computing engine, security and data governance, Stream computing

Unit-4
Teaching Hours:9
Big SQL
 

Db2 Big SQL, Data access in HDFS, Create and run queries in Db2 Big SQL server

Introduction to IBM Watson Studio, Analyze data using Watson Studio

Unit-5
Teaching Hours:5
Applications of Big Data
 

Big Data applications in cloud, Big Data Analytics in Healthcare, Big Data Analytics in Ecommerce, Big Data Analytics in Social Media, Big Data Analytics in Multimedia, Bigdata in Mobile Communications. Ethics of Big Data in Cyber Security

Text Books And Reference Books:

1.       Seema Acharya and Subhashini Chellappa.  Big Data and Analytics. 1st Edition. Wiley (2019)

2.       IBM Course material

Essential Reading / Recommended Reading

  1. Radha Shanthamani, M Vijayalakshmi. Big Data Analytics. 2nd Edition. Wiley (2016)
  2. Karau, H., Konwinski, A., Wendell, P., & Zaharia, M. (2015). Learning Spark. Sebastopol, California, United States: O'Reilly.
Evaluation Pattern

*

MBA541F - STRATEGIC FINANCIAL MANAGEMENT (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This course develops insights into the strategic aspects to investments. It goes beyond the conventional valuation metrics and focuses on value creation from investors’ perspective. It discusses the eight strategies of value creation -Value Octogen and the challenges of the pursuit of creating and sustaining value. 

Learning Outcome

CLO1: Interpret the wealth creation metrics of the business

CLO2: Compare different value-based management approaches.

CLO-3: Analyse the value creation strategies of the firm

CLO-4: Examine the approaches for value creation of a listed company

CLO-5: Evaluate the ethical aspects of value creation

Unit-1
Teaching Hours:3
Corporate Objective- Traditional value creation metrics
 

The value creation framework – Theories of shareholder wealth maximization- Stakeholders theory- enlightened value maximization- Price maximization vs Value maximization- Market Short termism – Creation of Shared Values - Traditional measures of value creation - EPS, ROI, EBIT, EBITDA, ROCE, RONA Market to Book Ratio (MBR), Sustainable multiples-

Unit-2
Teaching Hours:9
Value Based Management
 

Methods and Key Premises of VBM; Residual Income valuation Marakon , Alcar Approach- Mckinsey and  Stern Stewart Approaches-  Economic Value Added (EVA and Market Value Added (MVA) and Future Growth Value (FGV ; BCG Approach- Total Business Return (TBR) ,), Cash Value Added (CVA), Cash Flow Return on Investment (CFROI) Total shareholder Return (TSR)-  and Wealth Added Index – VBM for Divisional Performance Measures 

Unit-3
Teaching Hours:9
Strategies of Value Creation
 

Innovation and Business Model - Capital Allocation (Using real option valuation for capital budgeting) – Financing decisions (bankruptcy prediction models)- Strategic Cost Management- Organization architecture – Creation performance linked compensation plans- Financial Risk management – Mergers and acquisitions

Unit-4
Teaching Hours:6
Steller Value Creators
 

Case studies of Steller Value creators- Practices of Value creation- Dividend Policy and Firm Value; Implications of Real World Imperfections; factors affecting Dividend Policy- Clientele effects Formulation; Rationale and Objections to Share Buybacks; Share Buybacks and Valuation - Managing liquidity crisis and navigating the downturn.

Global companies delivering consistent value to shareholders- Indian examples of Steller value creation 

Unit-5
Teaching Hours:3
Corporate Governance and Ethics in Finance
 

Ethical dilemmas in finance function- Ethics in capital budgeting decisions - Types of Corporate Governance Mechanisms; Key Principles of Good Corporate he Governance; Corporate Governance Around the World; Board of Directors; Auditing; Investor Communication – Voluntary disclosures- Framework of Transparency 

Text Books And Reference Books:

Text Book

Chandra, Prasanna  (2017).  Strategic Financial Management- Managing for Value creation. New Delhi: 

Essential Reading / Recommended Reading

Damodaran, Aswath 4th edition (2015). Applied Corporate Finance. New Delhi: Wiley publications

Chandra, Prasanna (2017). Projects: Planning, Analysis, Selection, Financing. New Delhi: Tata McGraw-Hill.

Young, S. and O'Byrne, S. (2000). EVA and value-based management: A practical guide to implementation. New Delhi: Tata McGraw-Hill.

Evaluation Pattern

*

MBA541M - RETAILING MANAGEMENT (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This paper is offered as a marketing elective in the fifth trimester. It gives a complete insight on the knowledge of retailing and prepares students for careers in the area of organized retailing. Students opting for this elective specialize in the various aspects of retailing; – multichannel retailing, retailing strategy, customer relationship management, information systems and supply chain management, managing merchandise, store management etc.

Course Objectives: This course attempts to provide insights on the knowledge of retailing and prepares students for careers in the area of organized retailing.

Learning Outcome

CLO1: Compare various retail formats and technological advancements for setting up appropriate retail business

CLO2: Identify the competitive strategies for retail business decisions

CLO3: Examine the site location and operational efficiency for marketing decisions

CLO4: Analyse the effectiveness of merchandising and pricing strategies

CLO5: Assess store layout and planogram for retail business

Unit-1
Teaching Hours:6
The World of Retailing
 

Introduction to world of Retailing: Economic, Social, Legal, Ethical, Significance and Opportunities. Trends in retailing, Wheel of Retailing, and Retailer’s Characteristics.

Types of Retailers: Food and General Management Merchandise Retailers, Non Store Retail Formats, Services Retailing and Types of Ownership.

Omni-channel Retailing: Retail channels, Electronic retail and shopping in future.

 

Technological Advancements in Retail: Artificial Intelligence, Chat Bots, Augmented Reality – 3D, IoTs, Self Check Outs.

Unit-2
Teaching Hours:6
Retailing Strategy
 

Level of Knowledge:  Conceptual and practical knowledge

Retail Market Strategy: Planning and development, Target Market and Retail Formats, Building Sustainable Competitive Advantage, Strategic Retail Planning Process and Business Operations.

 

Retail Financial developments: Structure of Business, Investment Decisions, Financial Evaluation and Strategic Profit Model. 

Unit-3
Teaching Hours:5
Retail Location and SCM
 

Level of Knowledge: Conceptual and Application

Retail locations and site selection: Planned Vs. Unplanned Locations

Retail Locations: Catchment Analysis, Trade Area Analysis, Huff-Gravity Model. Information Systems

Distribution: Supply Chain Management, Physical Distribution, Inventory and Warehouse Management.

Unit-4
Teaching Hours:8
Merchandise Management
 

Merchandise Planning: Category Management, Sales Forecasting and Assortment Planning Process.

Buying Merchandise: Branding Strategies, Sourcing Decisions and Vendor Management.

Pricing strategies: Objectives, Pricing Calculations and Approaches, Price Adjustments.

 

Retail Communication Mix: Developing Brand Loyalty and Image, Selecting Promotional Mix, Planning Retail Communication Process.

Unit-5
Teaching Hours:5
Store Management
 

Retail Store Operations – KPI’s and KRA’s, Customer Footfalls Tracking, Customer Services, Resolving Issues and Complaints, Shop Lifting & Shrinkage.

Store Design: Designing a Planogram, Types of Store Layout and Design, Objectives Of Good Store Design, Space Planning. Visual merchandising, Merchandise Presentation Techniques, Importance of Atmospherics

Text Books And Reference Books:

Levy, M., Weitz, B., & Grewal, D., (2018). Retailing Management (10th Edition), McGraw Hill.

Essential Reading / Recommended Reading

Berman, B. & Evans, J. R. (2018). Retail Management A Strategic Approach (13th Edition). – Pearson.

Levy, M., Weitz, B., & Pandit, A., (2017) Retailing Management. McGraw Hill, Eighth Edition, Reprint 2017.

Sinha & Uniyal (2018). Managing Retailing 3rd Edition, Oxford.

Evaluation Pattern

*

MBA542B - MACHINE LEARNING ALGORITHMS-II (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This is a three-credit course offered as a Discipline Specific Elective during fifth trimester for Business Analytics Specialization students. The course encompasses fundamental concepts behind neural networks, clustering and association mining techniques predominantly segmentation and profiling models. By the end of the course, the students would be able to independently work on these models to address varied business problems.

Course Objectives:

At the end of the course, students would be able to

To Make use of R programming skills for model building

Experiment Machine Learning Algorithms

Examine business problems using Machine learning algorithms

Compare different Machine Learning Algorithms in the real-world scenario

Appraise business problems using Machine Learning Algorithms

Learning Outcome

CLO1: Perform classification and predictive analysis of the data

CLO2: To understand and apply un-supervised machine learning algorithms to solve various business problems

CLO3: Design and develop appropriate analytical models of classification and prediction for real-time business scenarios

CLO4: Analyze and interpret the data for real life business problems using various algorithms

CLO5: Propose feasible solutions for real life business problems under investigation

Unit-1
Teaching Hours:6
Customer segmentation
 

Introduction to cluster analysis- Hierarchical methods, Introduction to hierarchical and partitioning clustering, process of hierarchical and partitioning clustering, different types of hierarchical clustering methods, Non-hierarchical methods, Partitioning methods in cluster analysis- K-means clustering.

Unit-2
Teaching Hours:6
Market Basket Analysis
 

Introduction to association mining techniques, product recommendation in retail market, introduction to Market Basket Analysis (MBA), creating and exploring dataset, Item frequency plot, support, lift and confidence measures and their interpretations and Apriori Algorithms. Introduction to recommender lab.

Unit-3
Teaching Hours:6
RFM Model
 

Customer segmentation using RFM analysis

RFM Analysis, calculation of RFM score, visualization and segmentation

Unit-4
Teaching Hours:6
Introduction to optimization
 

Introduction to optimization techniques and application using Marketing Mix Modelling

Unit-5
Teaching Hours:6
Case studies on optimization
 

A case study approach to Optimization in Marketing, Operations and Supply chain

 

Detecting changes in stock price movements using forecasting -  LSTM  and ARIMA– Demand sensing in the supply chain

Text Books And Reference Books:

U Dinesh Kumar (2017), Business Analytics: The Science of Data - Driven Decision Making, WILEY

Essential Reading / Recommended Reading

Applied Multivariate Statistical Analysis by Richard A. Johnson, Dean W. Wichern, PHI Learning

Data analysis and graphics with R by Robert Kabacoff

Practical Data Science with R by Nina Zumel and John Mount

Multivariate Data Analysis by Hair|Black|Babin|Anderson|Tatham, Pearson publication

Shmueli, G., Patel, N. R., & Bruce, P. C. (2008). Data Mining for Business Intelligence:

Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner (2nd ed., p. 428). WILEY

Evaluation Pattern
*

MBA542F - FINANCIAL RISK MANAGEMENT (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This course is offered to provide the students an understanding of the emerging areas of Risk Management. This course equips the students with the tools and techniques to manage the financial risk efficiently.  It also enables them to learn corporate governance and risk strategies to manage both financial and non-financial risks.

 

Learning Outcome

CLO1: Understand the importance of risk management to an organization

CLO2: Measure risk using VaR and other techniques prescribed in Basel Accords.

CLO3: Develop an ethically and socially responsible outlook in the context of risk management in the financial sector space with specific reference to banking.

CLO4: Evaluate risk exposure of firms

CLO5: Apply risk management tools to real corporate situations

Unit-1
Teaching Hours:3
Introduction to Risk
 

Risk defined, Types of risk, Risk Management failures: What are they and when do they happen within an organization? Financial disasters due to risk management failures and its implications to organizations, extreme market movements – instances from the past, creating value with risk management.

Unit-2
Teaching Hours:3
Regulations, Basel III
 

Overview of Basel norms –Basel Committee on Banking Supervision (BCBS), Basel norms/ guidelines - A move towards Enterprise Risk Management & Integrated supervision, Basel III norms - 3 Pillar approach, Identifying the sources of Credit, Market & Operational risks and determining respective capital as part of minimum required capital, approaches to Capital measurement.

 

Unit-3
Teaching Hours:9
Market Risk & Interest Rate Risk
 

Measures of Financial risk – Mean – Variance framework- an understanding, Standard deviation, covariance and correlation, coefficient of variation, portfolio risk, Normal distribution- key properties and its application to finance domain from risk management perspective, measures of skewness and kurtosis and their effects of risk assessment, log normal distribution and its application to finance, Value at risk methods, EWMA model, Expected shortfall, Scenario analysis, Coherent risk measures.

 

Interest rate risk: Interest rate risk management in banks, bond duration- DV01, bond convexity, hedging interest rate risk with DV01 and interest rate swaps, Forward rate agreements, Bond VaR.

Unit-4
Teaching Hours:9
Credit Risk
 

Principles of credit risk management: Forms of credit risk – Settlement risk, Counter party risk & Sovereign risk, Common sources of credit risk management, measuring credit risk – Probability of default, Loss given default, Exposure at default, Expected & Unexpected loss, and use of derivatives to manage credit risk, Economic capital and RAROC

Unit-5
Teaching Hours:6
Liquidity and Operational Risk
 

Liquidity risk & Interest rate risk: Management of Asset Liability Management in banks, liquidity risk management in banks, principles of ‘sound stress testing practices and supervision’.

 

Operational Risk: Operational risks in banks, Measuring and managing operational risks   

Text Books And Reference Books:
  1. Hull, J. C. (2015). Risk Management and financial institutions. (4th ed.). Toronto: Wiley India.
Essential Reading / Recommended Reading
    1. RBI’s Master Circulars on Risk Management
    2. BCBS Consultative Document
    3. Dun., & Bradstreet. (2006). Financial risk management. (1st ed.). Tata McGraw Hill.
    4. Crouhy, M., Galai, D., & Mark, R., (2006). The essentials of risk management. The McGraw Hill Companies.
    5. Williams, A. C., Young, P., & Smith, M.L. (1998). Risk management & insurance. The McGraw Hill Companies.
    6. Risk Management materials from GAARP and FRM.
Evaluation Pattern

*

MBA542M - STRATEGIC BRAND MANAGEMENT (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This course is offered as a marketing elective in the fifth trimester. This course aims to develop conceptual knowledge of branding as part of marketing decision making and familiarize concepts of developing a brand, manage brand portfolio, brand lifecycles, brand extensions & rebranding decisions.

Course Objectives: 

CLO 1: Discover the dynamic nature of successful brands and explore brand success factors

CLO 2: Demonstrate skills in Brand asset management and managing relationships among brands

CLO 3: Categorize and develop brand identity system with a strategic focus on building integrated brands.

CLO 4: Appraise different type of brand extensions and evaluate brand portfolio strategy.

 

CLO 5: Design brand personality emotion and integrate brand as a differentiator.

 

 

Learning Outcome

CO1: Discover the dynamic nature of successful brands and explore brand success factors

CO2: Demonstrate skills in Brand asset management and managing relationships among brands

CO3: Categorize and develop brand identity system with a strategic focus on building integrated brands.

CO4: Appraise different type of brand extensions and evaluate brand portfolio strategy.

CO5: Design brand personality emotion and integrate brand as a differentiator.

Unit-1
Teaching Hours:4
Brand Definition and Success
 

Level of Knowledge: Conceptual and Basic

Strategic Success and Pioneer advantage, Successful brands, Concept of Market re-definition, Brand

 

success

 

Unit-2
Teaching Hours:6
Brand Equity
 

Level of Knowledge: Conceptual and Application

Cost based methods, Price based methods, Customer based brand equity,

Brand asset management strategy, Role of brand equity on mergers and acquisition. Leveraging equity for

 

employee retention.

Unit-3
Teaching Hours:8
Brand Identity
 

Level of Knowledge: Conceptual and Application

Brand Identity, The Identity structure, Developing Brand Identity system

Clarifying & elaborating Brand identity system

A strategic process for Building Integrated brands, Brand Vision, Brand Objectives

Choosing brand Elements, Designing & Implementing Branding Strategies

Leveraging Secondary brand knowledge

Unit-4
Teaching Hours:8
Brand extension & Brand Portfolio strategy
 

Level of Knowledge: Conceptual and Application

Types of brand extension, Need for brand extension Pros & Cons of brand extension

Category of related extensions & unrelated extensions

Brand portfolio strategy. Creating relevance, differentiation, leverage & clarity

Unit-5
Teaching Hours:4
Brand Personality & Brand Repositioning
 

Level of Knowledge: Conceptual and Application

Importance of Brand Personality Emotion cantered definitions Brand image

Brand Image and country of origin, celebrity, user status,

Positioning and re-positioning Relevance to consumers Search for a viable position

 

Making the brand serious, contemporary Brand as a differentiator in attracting investors.

Text Books And Reference Books:

Essential Reference:

Keller, K.L., Swaminathan, V., Parmeswaran, A.M.G., Jacob, I.C.(2020) .Strategic Brand Management (5th ed) Pearson education.

Essential Reading / Recommended Reading

Richard, E., Percy, L. (2018). Strategic Brand Management.  Oxford University press.

Aaker, D. S. (2010). Building Strong Brands. Shcuster publishing.

Kapferer, J. N. (2009). The New Strategic Brand management: Advanced Insights and Strategic Thinking. 

Kogan page.

Moorthy, Y.L.R.(2012).Brand Management, Vikas publishing.

Evaluation Pattern

*

MBA543F - FIXED INCOME SECURITIES (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This course introduces students to the world of fixed-income securities and their markets, yield measures, risk factors, and valuation measures and drivers. After undergoing this course, the students would be able to calculate yields and values of fixed-income securities. They would also be able to estimate the risks and expected returns for fixed income instruments, to analyse the term structure of interest rates and yield spreads, and to evaluate fixed income instruments with embedded options and unique features.

Learning Outcome

CLO1: Understand the world of fixed-income securities and their markets, yield measures, risk factors, and valuation measures and drivers.

CLO2: Calculate yields and values of fixed-income securities.

CLO3: Estimate the risks and expected returns for fixed income instruments.

CLO4: Analyse the term structure of interest rates and yield spreads.

CLO5: Evaluate fixed income instruments with embedded options and unique features.

Unit-1
Teaching Hours:3
UNIT I Introduction to Debt Securities and Markets 3 Hours
 

UNIT I Introduction to Debt Securities and Markets  3 Hours

 

Fixed-Income Markets: Characteristics and Institutions

Bond indenture, affirmative and negative covenants; basic features of a bond, various coupon rate structures and the structure of floating-rate securities; accrued interest, full price and clean price; provisions for redemption and retirement of bonds; common options embedded in a bond issue, their importance and benefits; margin buying and repurchase agreements.

Features of debt securities, credit risk characteristics and distribution of government securities; stripped Treasury securities; collateralized debt obligation; corporate bonds, structured notes, commercial paper, negotiable CDs and bankers’ acceptances; asset backed securities, motivation for issuance and external credit enhancements; primary and secondary markets for bonds. Accrued interest, full price and clean price; options embedded in a bond issue, margin buying and repurchase agreements.

Unit-2
Teaching Hours:6
UNIT II Valuation of Debt Securities
 

UNIT II Valuation of Debt Securities                                                                                        6 Hours

Steps in the bond valuation process, difficulties in estimating the expected cash flows; valuation of coupon and zero-coupon bonds; changes in price of a bond if the discount rate changes and/ or maturity approaches; arbitrage-free valuation approach and possibility of arbitrage profit if a bond is mispriced. Yield measures - limitations and assumptions, yield to maturity (YTM), bond equivalent yield (BEY)

Unit-3
Teaching Hours:9
UNIT III Risks Associated with Bonds
 

UNIT III Risks Associated with Bonds                                                                                        9 Hours

Risks associated with investing in bonds, Malkiel's Bond Price Theorem – relationship between a bond’s coupon rate, price, par value and yield required by the market; impact of bond maturity, coupon, embedded options and yield level on interest rate risk; price of a callable bond, option-free bond and embedded call option; interest rate risk of a floating rate security; duration and dollar duration of a bond; yield-curve risk; disadvantages of callable bonds; reinvestment risk; credit risk and credit ratings; liquidity risk, exchange rate risk.

Unit-4
Teaching Hours:6
UNIT IV Interest Rate Risk and Yield Spreads
 

UNIT IV Interest Rate Risk and Yield Spreads                                                                        6 Hours

Interest rate policy tools; shapes of yield curves; term structure of interest rates; spot rates, yield spreads, credit spreads; impact of liquidity, issue-size and embedded options on yield spreads; after-tax yield of a taxable security and tax-equivalent yield of a tax-exempt security; LIBOR and its importance. Duration, convexity, full valuation approach and the duration/ convexity approach for measuring interest rate risk. Effective and modified duration/convexity, impact of yield volatility on the interest rate risk of a bond.

Unit-5
Teaching Hours:6
UNIT V Yield Measures and Bond Portfolio
 

UNIT V Yield Measures and Bond Portfolio                                                                           6 Hours                                               

Sources of return from investing in a bond; Treasury spot rate curve and calculation of value of a bond using spot rates; Spot rates, forward rates, valuation of bonds using forward rates using bootstrapping; relationship between nominal spread, zero-volatility spread, option-adjusted spread and option cost. Bond portfolio strategies – active and passive, bond immunization principles, optimum bond portfolio.

Fixed-income portfolio benchmarks e.g., Barclays Capital U.S. Aggregate Bond Index, the Barclays Capital U.S. Corporate High Yield Bond Index, and the Barclays Capital U.S. Treasury Bond Index

Text Books And Reference Books:

1.       Bond Markets, Analysis and Strategies, Frank J. Fabozzi

 

Essential Reading / Recommended Reading

1.       Fixed Income Securities, Bruce Tuckman

2.       Handbook of Fixed Income Securities, Frank J. Fabozzi

3. Handbook of Fixed Income Securities and Credit Derivatives, A.V. Rajwade 

Evaluation Pattern

.

MBA543M - ADVERTISING AND PUBLIC RELATIONS (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This paper is offered as a marketing elective in the fifth trimester. It gives an insight

into advertising and prepares students for decisions in advertising and media in their respective roles in

marketing. Students opting for this elective gain an insight on the role and significance of public relations

for brand building and crisis management.

Learning Outcome

CLO1: CLO 1: Explain the basics of advertising with reference to technological, ethical and regulatory aspects of business

CLO2: CLO 2: Construct creative brief through multiple research methods

CLO3: CLO 3: Appraise Ad appeals and copies for Ad campaigns.

CLO4: CLO 4: Prepare a media plan and sales promotion plan for clients.

CLO5: CLO 5:Examine ethics and values in communicating to stake holders.

Unit-1
Teaching Hours:6
Introduction to Advertising & Ethics and Regulation
 

Advertising, Advertising campaigns, IMC; Roles and functions Advertising, Types of advertising, Key

Players in the Advertising Process. Brief History of Indian Advertising; Trends affecting advertising-Digital

Age & Challenge of Sustainability; Artificial intelligence in advertising

Advertising Regulation- Social Role of Advertising; Advertising to Vulnerable sections of Society; Self-

Regulation (ASCI) & Legal Regulation; Ethics in Advertising

Unit-2
Teaching Hours:6
Research and Planning in Advertising
 

Customer Insight and use of Research; Strategic Planning and Planning Process; Brand Communication

Plan; Target Audiences; Ad Objectives-Advertising as a Communication Model; Ad Exposure Model;

Setting Advertising Objectives; Account Planning; Creative Brief.

Understanding Segmentation, Positioning, Consumers and Branding for better advertising insights – Self-

learning (CCD Video)

Unit-3
Teaching Hours:7
Creating Effective Advertising
 

Creative Advertising and the Process; Informational and Transformational Appeals; Copywriting; Ad Copy

Testing; Ad Production

Unit-4
Teaching Hours:4
Effective Advertising Media
 

Media planning, Media Terms; Media Plan & Media Buying; Effectiveness of Media and ROI.

Trends in Media & Media Choices – Self-learning (CCD Video)

Sales promotion, Point of Purchase, Support media, Event Sponsorship, Product Placements, Branded Entertainment, Direct marketing, Personal Selling – Self-learning

Unit-5
Teaching Hours:7
Public Relations
 

Purpose of PR; Stakeholders for PR – Employees, Investors, Community, Customers, Media; Public Issue

Campaigns, Debates and Crisis Management; PR Ethics, Standards and Values

Text Books And Reference Books:

W.D. Wells, S. M. (2019). Advertising: Principles and Practice (11th ed.). New Delhi: Pearson Education

India.

Essential Reading / Recommended Reading

Belch, G. E., Belch, M. A. & Purani, K .(2017). Advertising and promotion: : An Integrated Marketing

Communications Perspective (SIE). , 9th Edition. New Delhi: Tata McGraw Hill Education. 

Center, A. H. (2008). Public Relations Practices: Managerial Case Studies & Problems (7th ed.). New

Delhi: PHI Learning.

Clow, K. E. & Baack, D. (2017). Integrated advertising, promotion and marketing communication. 8th

Edition. New Delhi: Pearson Education India.

Jaishri Jethwaney, N N Sarkar (2015). Public Relations Management. 3rd Edition. Sterling Publishers Pvt

Ltd. India.

Susan K. Jones, J. Steven Kelly (2020). The IMC Case Book : Cases in Integrated Marketing

Communications,2nd Edition. Jacob’s & Clevenger Case writer’s workshop.

Evaluation Pattern

*

MBA544B - TEXT AND SOCIAL MEDIA ANALYTICS (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This is a three-credit course offered as a Discipline Specific Elective during the fifth trimester for Business Analytics Specialization students. The course introduces the students to the basic and intermediate levels of text and social media analytics. The coverage includes (a) basics of language processing, use of machine learning to analyze text and social media data, sentiment analysis, and, (b) the use of common software tools to carry out text, social media, and social network analysis.

Course Objectives:

At the end of the course the students will be able:

To identify the applications of Natural Language Processing.

To experiment with various text pre-processing techniques.

To discover relevant topics using Topic Modeling approach.

To interpret sentiments using Sentiment analysis for effective decision making.

To design social network analysis for business decision making.

Learning Outcome

CLO1: Demonstrate the applications of Natural Language Processing using Python programming.

CLO2: Measure text similarity with the purpose of clustering words and sentences.

CLO3: Determine sentiment from text reviews using Python programming.

CLO4: Analyze social media data and networks.

CLO5: Develop Python programs for case scenarios involving text and social media data.

Unit-1
Teaching Hours:3
Natural Language Processing (NLP)
 

Natural language; text corpora and lexical resources.

Introduction to NLP, overview of the applications: semantic analysis – question answering systems including chatbots; contextual recognition including coreference resolution, speech recognition, word sense disambiguation, named entity recognition (NER); text summarization including topic modelling; text classification including feature extraction and sentiment analysis. Ethical practices in handling data.

Unit-2
Teaching Hours:6
Text Pre-processing, Similarity and Clustering
 

Text pre-processing: tokenization – sentence and word tokenization; normalization – cleaning text, removal of special characters and stop words, stemming, lemmatization; parts of speech (PoS) tagging – utility of ngrams.

Text similarity: Information retrieval; feature extraction – Bag of Words, TF-IDF, and word2vec models; term and document similarity; similarity measures – cosine similarity, Jaccard similarity and Levenshtein distance; Document clustering using k-means clustering, hierarchical clustering and affinity propagation.

Unit-3
Teaching Hours:6
Sentiment Analysis
 

Introduction to Data Acquisition and Extraction: Web Scraping, Defining the sentiment analysis problem – objective and tasks; understanding affect, emotion, mood, and opinion; setting up dependencies; preparing the data for analysis; supervised machine learning using SVM; unsupervised lexicon-based techniques; model performance evaluation.

Unit-4
Teaching Hours:9
Social Media Analytics
 

Introduction; social media and social media networks; social media data – structured and unstructured data. Applications.

Data analysis and visualization: Collecting and extracting social media data; statistical analysis of data – key metrics like CTR, number of views, CPM; extracting useful patterns; social network analysis; creating network graphs; node importance – key influencers; modelling network dynamics and growth.

Unit-5
Teaching Hours:6
Case Studies
 

Natural language processing and sentiment analysis of customer reviews.

Social media network analysis of Facebook data. 

Sentiment analysis of Twitter data with a specific reference to the ethics of using social media data.                                                                                                             

Text Books And Reference Books:

1.Dipanjan Sarkar: Text Analytics with Python: A Practitioner's Guide to Natural Language Processing 2nd Edition. Apress (2019).

2. Marco Bonzanini: Mastering Social Media Mining with Python. 1st edition. Packt Publishing (2016).

Essential Reading / Recommended Reading

1. Steven Struhl: Practical Text Analytics: Interpreting Text and Unstructured Data for Business Intelligence. 1st edition. Kogun Page (2015).

2. Bing Liu: Sentiment Analysis: Mining Opinions, Sentiments, and Emotions. 1st edition. Cambridge University Press (2015).

Evaluation Pattern
*

MBA561S - INTERNATIONAL BUSINESS (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This is a cross-functional elective course offered in the fifth trimester to students across all specializations. In this course Students learn various aspects of International Business in terms of concepts, operations, opportunities and challenges. 

Learning Outcome

CLO1: Identify the internationalization process of firms in a globalised era.

CLO2: Demonstrate the motives in the formation of international Institutions and agreements

CLO3: Interpret the relevant theories and concepts to various practices of global business.

CLO4: Assess the impact of the current EXIM policy on international business.

CLO5: Examine the reasons for the success or/and failure of international business strategies

Unit-1
Teaching Hours:6
Introduction
 

Globalization and the need for International business, Nature of international business, drivers of cross-border business, routes of global business and active players in multinational business. Concept of Internationalization.  

Mode of Entry- Export & Import, Contracting strategies, Foreign Direct Investment, Strategic Alliance and Network collaboration 

International Business strategy

- Industry Analysis, Intra-Industry Trade Porter’s five forces model, Three Generic Strategies: Cost leadership, Differentiation, --- Removed                                                                          

Unit-2
Teaching Hours:4
International Business environment & International Institutions in International Business (self-learning Module )
 

International business environment – Political, Economic, Legal, Technological and Cultural factors

International Institutions in International Business* International Institutions in International Business: WTO and Regional Economic Integration (European Trade Union, Asian Trade Agreements Like APEC, ASEAN, African Trade Agreements, Western hemisphere trade agreements like NAFTA, CAFTA,

MERCOSUR, Andean Community) *

Unit-3
Teaching Hours:8
International Trade Theories
 

Theories of Global Trade and Investment- Mercantilism, Theory of Absolute Advantage, Theory of Comparative Advantage, Factor Endowment Theory, Product Life Cycle Theory, Strategic Trade Theory, Porter’s National Competitive Advantage. Free Trade Agreements- Trade Diversion Vs Trade Creation.

Unit-4
Teaching Hours:6
International Trade Policy
 

Introduction to Trade Policy, Tools for trade policy – Tariffs, Non-Tariff trade Barriers, Quotas, Purpose of protectionism, EXIM Policy 

 

Export Documentation, INCOTERMs, Trade Finance 

Unit-5
Teaching Hours:6
Latest trend in International Business
 

Geopolitical Issues and their impact on International Business, Global Diversity & Cross Cultural Issues, Climate Change, G7, G20  and UN Summit Discussion 

 

Social responsibility and ethical issues in international business – national differences in ethics and social responsibility, codes of conduct for MNC’s, International Business and Sustainability.

Text Books And Reference Books:

Peng M W and Srivastava D K (2019). 2nd Edition, Global Business, CENGAGE Learning Publications

Essential Reading / Recommended Reading

Charles W.L. Hill, Arun K Jain (2012). 10th Edition, International Business, Tata-McGraw-Hill Publications

Czinkota M.R., Ronkanen, I.A. & Moffett M.H (2011). 8th Edition, International Business. New Delhi: Wiley 

John D. Deniels and Lee H Daniels &Radebaugh, (2010). 13th Edition, International Business, Pearson Education Publications

Andrew Harrison, et al,(2000). International Business, Oxford University Press

John B. Cullen, K. Praveen Parboteeah (2011). 5th Edition, Multinational Management: a strategic approach, South-Western Cengage Learning

K. Aswathappa (2010). International Business. Tata McGraw-Hill Publications

Evaluation Pattern

*

MBA562M - CUSTOMER CENTRIC DECISIONS IN BUSINESS (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This is a 3credit course offered as a generic elective to engage students across

specialization/functions in developing meaningful perspective on the significance of identifying customer as

primary stakeholders while making strategic and operational (functional) business decisions. This course

offers a cross-functional perspective to business by exploring how principles and ideas of marketing could

be used to effectively carry out diverse business functions such as talent acquisition and management,

managing finance & resource allocation, and managing quality and intermediaries.

Course Objectives: On having completed this course student should be able to:

1.Identify aspects of customer centric factors impacting various functions.

2.Apply consumer behaviour models in consumer markets.

3. Analyse the concept of 3V model Across Industries.

4. Examine efficacy of consumer value proposition

5.Evaluate Brands and Brand strategy and its implications on various functions.

Learning Outcome

CO1: Make use of aspects of customer centric factors impacting various functions to enable customer

CO2: Identify consumer trends and insights its impact on digital eco system.

CO3: Examine the concept of 3V model Across Industries.

CO4: Analyze efficacy of consumer value proposition

CO5: Assess Brands and Brand strategy and its implications on various functions.

Unit-1
Teaching Hours:6
Introduction to the cross-disciplinary nature of business decisions
 

Introduction and Ubiquity of customer centered decisions, Consumer capitalism, Customer centric

innovations in business.

Unit-2
Teaching Hours:6
Market and market based decisions
 

Emerging trends in consumer markets and insights, Consumer behaviour models and its application,

Dynamics of digital natives.

Unit-3
Teaching Hours:6
Strategic view on customer centricity
 

Beyond segmentation and targeting decisions, Positioning of differentiated value, Concept of 3Vs - valued

customer, value proposition and value network.

Unit-4
Teaching Hours:6
Going beyond marketing operations
 

Products and solutions, Pricing dynamics- value driven pricing, Inviting consumers to access value

effectively.

Unit-5
Teaching Hours:6
Understanding and measuring intangibles of branding
 

Brands and branding, Brand extension and proliferation decisions, Brand value and brand equity

Text Books And Reference Books:

Essential References:

Kumar, N. (2004). Marketing as Strategy (1 st ed.) Harvard Business press.

Bijapurkar, R. (2013). A Never Before World (1 st ed.) Penguin Random house, India.

Bijapurkar, R. (2013). We are Like That Only: Understanding the Logic of Consumer India (1 st ed.) Penguin

Random house, India.

Essential Reading / Recommended Reading

Recommended References:

Keller, K.L., Swaminathan, V., Parmeswaran, A.M.G., Jacob, I.C. (2020). Strategic Brand Management (5 th

ed) Pearson education.

Evaluation Pattern

*

MBA631 - BUSINESS SUSTAINABILITY, GOVERNANCE AND ETHICS (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This is a core course offered in the sixth trimester to students across all specializations. The purpose of the course is to in still a sustainability, good governance and ethical-oriented mindset and aspiration among students, at the broad level. To inspire them to apply it further in their respective streams, career and lives, so as to contribute to the society and the planet as holistic, responsible individuals and ethical business leaders.

Course Objectives: To develop a capacity for sustainable business approaches along with good governance considering ethically and morally justifiable reasoning and to apply them in business contexts

Learning Outcome

CO1: Identify business sustainability issues

CO2: Demonstrate ability to transform and nurture environment friendly, socially responsive and ethically governed business entities

CO3: Interpret the impact of relevant governance models.

CO4: Evaluate the reasons for the success or/and failure of various business entities not following ESG theme as their strategies.

CO5: Formulate the code of ethics for corporate set up

Unit-1
Teaching Hours:5
Sustainable Business Management Strategies
 

Introduction to sustainability and sustainable business management, guiding principles of business sustainability; Social, Ecological and Economic indicators of sustainability. Enablers, risks, opportunities and challenges of sustainable businesses. Business opportunities for integrating sustainability issues within the core Business Strategy.

Case study: Unilevers’s new global strategy: Competing through Sustainability

Unit-2
Teaching Hours:6
Managing Sustainable Businesses
 

Sustainable supply chains: Designing sustainable products and services, Re-features in Supply Chain Design (Re use, Recycle, Re-manufacture), Cradle to Cradle protocol. Life Cycle Analysis (LCA). Stakeholder engagement models.

 

Case Study: Cradle-to-Cradle Design at Herman Miller: Moving Toward Environmental Sustainability.

Unit-3
Teaching Hours:4
Transforming to sustainable businesses
 

Sustainable business models – Product service system (PSS). Tools for transformation such as Innovation, Collaboration, Technology, Process improvement, bio-mimicry and performance measurement systems. Measuring and reporting sustainability.

 

Unit-4
Teaching Hours:4
Corporate Social Responsibility
 

 

Unit IV                                                                                                                                                   4 Hours

 

Corporate Social Responsibility

 

The Link Between Competitive Advantage and Corporate Social Responsibility. Creating Shared Value. CSR in the Indian Context. Sustainability Reporting Standards (GRI)

 

Unit-5
Teaching Hours:5
Business Ethics, Values, and Code of Ethics
 

 

Unit V

 

Business Ethics, Values, and Code of Ethics                                                                                    6 Hours

 

Nature of business ethics and values, Sources of ethical and philosophical systems, cultural experience and legal system. Factors influencing business ethics–leadership strategy and performance, environment, corporate culture, individual characteristics. Managing codes of ethics, ethics committees, hotlines, training programs and laws enforcing ethical conduct. Stakeholder theory and the deliberations on ethics in businesses. 

 

Text Books And Reference Books:

        Fernando, AC (2011) Corporate Governance: Principles, Policies and Practices

(2 Edition). Pearson Education.

        A C Fernando, (2013), Business Ethics – An Indian Perspective, New Delhi, Pearson Education.

Essential Reading / Recommended Reading

ss

Evaluation Pattern

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MBA641B - DEEP LEARNING (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: The course is offered as a Discipline Specific Elective during the fifth trimester for Business Analytics Specialization students. The course focuses on the foundations of Deep Learning and its applications in various domains as it is one of the most highly sought-after skills in AI.

Course Objectives:

At the end of the course the students will be able to:

1.       Make use of Neural Network concepts for Deep Learning.

2.       Identify the deep learning frameworks and models.

3.       Analyse data using CNN.

4.       Analyse data using RNN.

Recommend a Deep Learning model in a selected domain.

Learning Outcome

CLO1: Understand the essentials of Neural Network.

CLO2: Comprehend the working of deep learning models and its framework. using Deep Learning Programming Framework.

CLO3: Apply CNN using Deep Learning Programming Framework.

CLO4: Apply RNN using Deep Learning Programming Framework.

CLO5: Discuss applications of Deep Learning Models in various domains.

Unit-1
Teaching Hours:8
Introduction to Neural Networks
 

Structure of Neuron, Network Architecture, Perceptron and its types, Linear and Non-Linear Problems, Activations Functions, Supervised Learning with Neural Networks, Gradient Descent, Vanishing Gradient, Feed forward Neural Networks, Back Propagation Algorithm.

Unit-2
Teaching Hours:6
Introduction to Deep Learning
 

Need for Deep Learning, Deep Feedforward Networks, Regularization, Optimization for Training Deep Models, Overview of Deep Learning frameworks, Introduction to Deep Learning Programming Framework.

Unit-3
Teaching Hours:5
Convolutional Neural Network
 

Convolution Operation, Pooling, Variants of Basic Convolution Functions, CNN, Application of CNN.

Unit-4
Teaching Hours:5
Recurrent Neural Network
 

Understanding the simple recurrent unit (Elman unit), Recurrent and Fully Recurrent Neural Network, Application of RNN.

Unit-5
Teaching Hours:6
Applications of Deep Learning
 

Applications of Deep Learning Models different domains like Computer Vision, Natural Language Processing, Speech Recognition with case studies, Future of Deep Learning.

Text Books And Reference Books:

·         Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, MIT Press

·         Francois Chollet, Deep Learning with Python.

Essential Reading / Recommended Reading

1.       Suresh Samudrala Machine Intelligence: Demystifying Machine Learning, Neural Networks and Deep Learning, Notion press.

               2. Simon Haykin, Networks and Learning Machines, Pearson

Evaluation Pattern

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MBA641M - NEURO MARKETING (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: Basic neuroscience made steady progress throughout the 20th century with only small areas of application outside of medicine. Over the past few years, however, breakthroughs in measurement and computation have accelerated basic research and created major applications for business and technology. Currently, applications to marketing research and product development are experiencing explosive growth that has been met with both excitement and skepticism

Course Objectives: This course provides an overview of developments in neuroscience and its applications in the realm of marketing.

Learning Outcome

CLO1: Demonstrate the knowledge and application of neuro-science in the area of marketing and consumer psychology

CLO2: Conduct simple neuro marketing experiments to analyse and establish elements of consumer buying behaviour.

CLO3: Develop new methods to learn consumption patterns using neuro marketing tools.

Unit-1
Teaching Hours:6
Introduction to neuro marketing
 

Combining consumer behaviour & neuroscience: The evolution of neuro-anatomical perspective. The psychological and behavioural and innovation and product development perspective. Behavioural models & measures. Innovation and evaluating ideas for new products, including trial, repeat studies and models for new products. 

Unit-2
Teaching Hours:6
The measurement perspective
 

Physiological (eye movements, pupil size, skin conductance, heart rate) and neural measurement (EEG, PET, fMRI, single cell recordings) procedures; neuroscience & commercial marketing research. The basics of quantitative modeling: process models, modular production systems and neural networks.

Unit-3
Teaching Hours:6
Vision, attention and eye tracking
 

The visual system, including the eye, retina, midbrain, visual cortex, and related association areas; visual attention, including goal-directed and stimulus-driven pathways in the parietal and frontal lobes; locating and identifying objects

Unit-4
Teaching Hours:6
Emotions
 

Emotions, advertising and branding: Intensity and valence of emotion; measures of emotion. Hierarchy of effects models; evaluative conditioning; neural correlates of brand preferences and brand loyalty.

 

Unit-5
Teaching Hours:6
Learning and memory
 

Valuation, inter-temporal choice, self-control, reward, and reinforcement learning; Wanting, liking and deciding; Neuro-ethics

Text Books And Reference Books:

Ramsoy Z. T. (2015). Introduction to Neuro marketing and Consumer Neuroscience(First Edition). Neurons Inc ApS, Rorvig, Denmark.

Essential Reading / Recommended Reading

Gazzaniga, Ivry, & Mangun (2014), Cognitive Neuroscience: The Biology of Mind, 4th edition, New York, NY: Norton & Co.

Michael V. Marn, Eric V. Roegner, Craig C. Zawada (2004). The Price Advantage. Wiley Publication. E-BOOK

Purves, Cabeza, Huettel, LaBar, Platt, & Woldorff (2013), Principles of Cognitive Neuroscience, 2nd edition, Sunderland, MA: Sinauer & Associates.

Glimcher & Fehr (2014), Neuroeconomics: Decision Making and the Brain, 2nd edition, London, UK: Academic Press.

Holmqvist, Kenneth, Nystrom, Marcus, Andersson, Richard, Dewhurst, Richard, Jarodzka, Halszka, et al. (2011) Eye Tracking: A comprehensiveguide to methods and measures, Oxford University Press.

Evaluation Pattern

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MBA642F - MERGERS, ACQUISITIONS AND RESTRUCTURING (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This course aims to make students understand the corporate strategies from mergers and acquisitions perspective. Different issues concerning valuation during M&A forms a part of this course learning. The legal and regulatory issues being so important to M&A, forms a part of the course learning.

Course Objectives: This course attempts to make students understand, evaluate, frame and execute the corporate mergers and acquisitions strategies in finance domain.

Learning Outcome

CLO1: Understand the Concepts and importance of Mergers, Acquisitions and Corporate restructuring to the business world.

CLO2: - Evaluate the effectiveness of pre- and post-merger performances

CLO3: Assess the effectiveness of different legal and Cultural aspects in Mergers, Acquisitions and Corporate restructuring transaction

CLO4: Determine the value of a company for a Mergers, Acquisitions and Corporate restructuring deal

CLO5: Demonstrate a working knowledge of the Takeover defences

Unit-1
Teaching Hours:7
Overview of Mergers and Acquisition and Corporate Restructuring
 

Introduction. History of Merger Movements. Forms of Corporate Restructuring: Expansions, Mergers and Acquisitions, Tender Offers, Joint Ventures, Sell Offs, Spinoffs, Split offs, Split ups, Divestitures, Employees Stock Option Plans (ESOPs), Equity Carve Outs, Master Limited Partnership (MLP). Corporate Control Premium, Buybacks, Standstill Agreements, Leveraged Buyouts. Merger Process: Five-stage model. Economic rationale for M&A. Major types of Mergers- Horizontal mergers - Vertical mergers - Conglomerate mergers - Concentric Mergers. Framework for analysis of mergers. Organization learning and organization capital. The Role of industry life cycle, Product life cycle in M&A.

Unit-2
Teaching Hours:7
Cost and Benefit of Merger
 

Cost and benefit analysis of merger (mergers as a capital budgeting decision) - Share exchange ratio - Problems of calculating pre and post merger performances.

Unit-3
Teaching Hours:10
Valuation
 

Multiples – various kinds of multiples and how to view this from the perspective of M&A. What are the factors which impact the multiple and how to find the right multiple to value the company. Risk free rate of return – Key things to remember while doing cross border M&A. Beta- What factors impac

t beta. Levered and unlevered beta. Valuation during special situation of M&A- growth companies, distress companies, stable growth companies, listed and unlisted companies, volume and liquidity discount, companies with negative cash flows, cash risk companies, IRR expectations, control premium. Valuation for cash Vs stock deals. Common mistakes / biases at the time of valuation. Negotiation for valuation in M&A deals – convert structure, warrant structure and other ways of structuring options. Special situation in valuation – SEBI valuation rules, takeover code valuation rules, FDI valuation rules.

Unit-4
Teaching Hours:3
Legal and Cultural Aspects in Merger
 

Organizational and human aspects – managerial challenges of M & A - - Legal and regulatory frame work of M & A – provisions of companies act 1956 - Indian Income Tax act 1961 - SEBI takeover code 

Unit-5
Teaching Hours:3
Take Over Defences
 

Takeover defences – financial defensive measures – Coercive offers and defence – anti-takeover amendments – poison pill defence. 

Text Books And Reference Books:

Donald M. DePamphilis., Mergers, Acquisitions, and Other Restructuring Activities (10th Edition). Elsivier

Essential Reading / Recommended Reading

1.       Weston., Fred,( 2001). Mergers & Acquisitions. McGraw Hill.

2.       Galpin., Timothy J, Herndon, Mark. Jossey Bass,( 2007). The Complete Guide to Mergers andAcquisitions: Process Tools to Support M&A Integration at Every Level. 2nd edition.

3.       Feldman, Mark L / Spratt, Michael Frederick., (1999 ). Five Frogs on A Log: A CEO's Field Guide to Accelerating the Transition in Mergers, Acquisitions, and Gut Wrenching Change. 1st edition,  New York: Harper Business. 

4.       (2001).Harvard business review on mergers and acquisitions. Boston: Harvard Business School Press.

5.       Burrough., Bryan, Helyar, John,( 1990). Barbarians at The Gate: The Fall of RJR Nabisco. 1 st e, New York: Harper & Row;. xvi, 528 p., 32 p of plates ISBN: 0060161728. Collins Business 2008. 

6.       Gaughan., Patrick A, (2010 ). Mergers-What Can Go Wrong and How to Prevent it. 1st edition, Wiley Finance. 

Damodaran., Ashwath,( 2009), Damodaran on Valuation. 2e, John Wiley. 

Evaluation Pattern

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MBA661F - PERSONAL FINANCIAL PLANNING (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This course introduces students to two important areas in Finance. They are financial planning and wealth management. Two approaches are used in this course. One is an individual’s financial planning and asset allocation. The basic premise is that for students to do well in wealth management career, they should be able to manage their own personal wealth. Through this course students are exposed to the world of different investments opportunities.

 

Learning Outcome

CLO1: Demonstrate an understanding of the theories and concepts of the financial planning process and wealth creation

CLO2: Create a personal financial plan

CLO3: Analyse the risk-return characteristics of different asset classes available to individuals for investing

CLO4: Create portfolio for a client based on their risk tolerance, constraints and unique life circumstances

CLO5: Evaluate tax implications of a particular plan

Unit-1
Teaching Hours:5
Overview on Financial Planning and Wealth Management
 

Introduction to wealth management, Concepts of being rich, concept of asset classes, Risk and return trade-off and risk profiles. Introduction to financial planning, Life cycle analysis, Financial planning process

Unit-2
Teaching Hours:12
Asset classes
 

Equity, Debt, Mutual Funds, Gold, Real Estate, Challenges in investing in Real Estate, Urban Vs Rural, Residential Vs Commercial, Land Vs Build Properties, REIT, Private Equity, Venture Capital, Structured Notes, Quant Funds and Offshore Opportunities

Unit-3
Teaching Hours:3
Investing through Insurance
 

Role of insurance as a risk mitigant, Introduction to various types of risks, Concept of insurable risks from an investor’s perspective, Various insurance products available – Life and Non-Life, Concept of Human Life Value (HLV) and methods of computing HLVs.

Unit-4
Teaching Hours:6
Asset allocation strategies
 

Asset allocation decision from an Investor’s perspective, Active Vs passive strategies, Asset allocation strategies – Strategic Asset Allocation, Constant Weighting Asset Allocation, Tactical Asset Allocation, Dynamic Asset Allocation, Insured Asset Allocation, Integrated Asset Allocation. 

Unit-5
Teaching Hours:4
Personal Tax Planning
 

Tax Planning

Tax exposure, 

Types of tax, tax brackets, 

Analysis of tax situation for individual/family

Tax advantages: retirement planning, financial planning,

Tax managed asset strategies,

Role of tax timing in tax planning

Tax-saving structures

Identifying suitable and appropriate tax-efficient investments

Factors affecting tax efficiency

Text Books And Reference Books:

Recommended Books:

How to get rich and retire early, S G Raja Sekharan (2013), Maple Press

Essential Reading / Recommended Reading

Additional Suggested Reading:

1.       The New Wealth Management: The Financial Advisor’s Guide to Managing and Investing Client Assets by Harold Evensky, Stephen M. Horan, Thomas R. Robinson, Roger Ebbotson

2.       From the Rat Race to Financial Freedom by Manoj Arora

3.       Wealth Management by Ashiya Manish

4.       All about Investing by Facrber Esme

5.       Introduction to Financial Planning by Indian Institute of Banking & Finance

6.       Personal Finance by Kapoor Jack R., Dlabay L.R., Hughes R.J.

Wealth Management, Finance Essentials Series by Dunn & Bradstreet  

Evaluation Pattern

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MBA662L - E-BUSINESS (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description: This is a generic elective course offered in the sixth trimester. This course enhances the level of practical knowledge about E-Business thereby helping students to appreciate the integral part played by electronic means of doing business. It prepares them to be able to implement digital technologies in business.

Course Objectives:

    1. Enable students to analyse technology platforms, ESCM, cloud based businesses, online retailing.
    2. Enable students to analyse the m-commerce business models.
    3.Enable students to analyse the  social media network based business models 

Learning Outcome

CLO1: Build business plans incorporating technology infrastructure requirements of e-business.

CLO2: Analyze the technological platforms and develop managerial skills to manage e-commerce businesses.

CLO3: Apply e-business models in supply chain, retailing, and service sectors.

CLO4: Make use of mobile technologies and their applications in m-commerce businesses.

CLO5: Analyze ethical dimensions of e-commerce, m-commerce and social media network based e-business models

Unit-1
Teaching Hours:9
Electronic Commerce Business Models and Concepts
 

Overview of E-Commerce, Unique features of E Commerce, Types, origins and growth of E Commerce, Electronic Commerce Business models, Partial Vs Pure E-Commerce, Benefits and Limitations of E-Commerce. Various Business Models of E-Commerce: B2C, B2B, C2B, C2C, etc., E-Commerce Business Strategies & Business Model Disruption, Revenue models of E-Commerce.

Unit-2
Teaching Hours:4
Technology Infrastructure & Security
 

Infrastructural requirements, E-commerce and internet, Trends in E-Commerce Infrastructure, Cloud based e-business. E-Commerce Security Systems, The Underground Economy Marketplace

Unit-3
Teaching Hours:8
Building an E-Commerce Presence & E-Commerce in action
 

Systematic approach to building an EC web site, Choosing Software, tools, hardware for EC, Search engine marketing (SEM) and Search engine optimization (SEO).

 

Online Retailing, E-SCM, collaborative commerce, online services (Financial services, travel & online career services), Online Media, Games, E-Learning, E-Governance.

Unit-4
Teaching Hours:4
Introduction Mobile Technologies and M Commerce
 

Planning and Building a Mobile Presence – Infrastructure of M–Commerce – Types of Mobile Commerce Services – Technologies of Wireless Business – Benefits and Limitations, Support, Mobile Marketing & Advertisement, Non– Internet Applications in M–Commerce – Wireless/Wired Commerce Comparisons.

Unit-5
Teaching Hours:5
Social Media and Networks based business models & Ethical and legal issues
 

Social media applications for E-Business, Social media analytics, Networks and Platform Based Business Models

E-Commerce and ethics, Privacy regulations and information rights - Indian and global perspectives.

 

                

Text Books And Reference Books:

Laudon, Kenneth. C., &Traver, Carol. Guercio.E-commerce- business. technology society (13thed.) India: Pearson Education.

Essential Reading / Recommended Reading

1.        P T Joseph S J, E-Commerce: An Indian Perspective. Fourth Edn,India: Prentice -Hall of India Pvt. Ltd. Publications.

2.        Schneider Gary P., Electronic Commerce. Fifth Edn, USA: Thomson - Course Technology Publications.

3.        Bhasker Bharat, Electronic Commerce Framework. Technologies and Applications. Third Edition, India: Tata McGraw Hill Co. Ltd. Publications.

4.        Schneir Bruce and Ferguson Neils.,Practical Cryptography.  Wiley- Dreamtech India Private Ltd. Publications.

5.        Awad Elias M., “Electronic Commerce”, From Vision to Fulfillment.  PHI Publications.

6.        Rayport Jeffrey F and Jawoski Bernard J., Introduction to E-Commerce.

Kalakota Ravi B and Whinston Andrew B., Latest, Frontiers of Electronic Commerce.   USA: Addison Wesley Publications.

Evaluation Pattern

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MBA681 - MASTER THESIS (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:3
Max Marks:150
Credits:3

Course Objectives/Course Description

 

Course Description
Master Thesis is an optional three credit research based course that is done by students during their 5th and 6th trimesters.  The course is open to all MBA students.  A guide is allocated to every student to
advise and guide him/her in conducting literature review, formulating the research problem, collection of data, analysis and preparation of report.

Course Objective

This course attempts to enable the student to identify and formulate relevant research questions, to get
them trained in report writing and to prepare them for a consulting career.

Learning Outcome

CLO1: To enable the student to identify and formulate relevant research questions by integrating knowledge from different sources.

CLO2: To help the students to get trained in report making which focuses on problem solving based on empirical evidence and data visualization techniques.

CLO3: To prepare the student for a consulting career.

Unit-1
Teaching Hours:30
*
 

Review of Literature
The literature used should support the researcher’s arguments relating to his/her research question and
aim and objectives of the study. It should uphold methodology. The literature review should be
comprehensive and up-to-date. All the papers referred for literature review have to be properly referred
strictly following the APA guidelines.

Methodology
The research methodology has to be predominantly survey based research and primary data. The use of secondary data will be encouraged only if valid justifications are provided. The methodology should include data collection methods, type of data, tools used, pilot study details, method of analysis.

Analysis
Analysis should be done using SPSS/ Excel or any other tool appropriate for the study. Qualitative
research alone should not be encouraged. However, a mixed methodology approach (qualitative study
along with a quantitative study) is acceptable. Presentation and analysis of qualitative data and
quantitative data have to be done as appropriate.

Discussion
While discussing the results, they should be linked to the literature review. It should be discussed how
similar/ different is the study result with reference to literature review and what could be the reasons for such similarity/difference. The implications of the study should be discussed at two levels- academic implications and industry implications.

Reporting
The thesis should be of minimum 70 pages (20000 words) and maximum 100 pages (25000
words).Theses should be printed only on one side of the paper. APA formatting style should strictly be followed for referencing. The reporting (formatting, styling, structure of report) should be in adherence to the APA (6 th ed.).

Assessment focus and evaluation
Assessment and evaluation of the master thesis will be based on the parameters as discussed in detail
below. The marks for master thesis is split over 5th and 6th trimester. The final evaluation comprises of 25 marks by research guide in the 5th trimester and the average of external evaluation and internal
evaluation (125 marks) in the 5th & 6th trimester.

 

Bibliography
1. American Psychological Association. (2009). Publication manual of the American Psychological
Association (6th ed.). Washington, DC.
2. Chawla, D. (2011). Research Methodology Concepts and Cases. New Delhi: Vikas Publications.
3. Cooper, D., & Schindler, P. (2009). Business research methods (4th ed.). New Delhi: Tata

McGraw Hill Publication

Text Books And Reference Books:

*

Essential Reading / Recommended Reading

*

Evaluation Pattern

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