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

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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.

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
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.

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)

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

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

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

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

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

             

 

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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

Text Books And Reference Books:
Essential Reading / Recommended Reading
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

             

 

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.

Text Books And Reference Books:
Essential Reading / Recommended Reading
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