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.

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

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.

Examination: End Trimester Exam

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.

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

Business, National, International, Technology, Politics, Sports

Latest topics from Technology, Business and Economics

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

Management books, Autobiographies, Biographies, Entrepreneurship, Building organizations

CIA II    30 marks

CIA III   25 marks

Class Participation  10 marks

Attendance    5 marks

Total     100 marks

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.

Forms of business organization, importance of accounting in the information age, users of accounting information; Explanation and interpretation of accounting equation; Assets, Liabilities, Equity, Incomes, Expenses, Analyze the effects of transactions on the accounting equation; Accounting standards, Principles and Transaction Analysis.

Statement of Profit and Loss and Balance Sheet; Understanding the different items that appear in these two statements; Different Types of assets and liabilities

Cost of Acquisition of depreciable assets, capital and revenue expenditure; Methods of depreciation – Straight line method and Written down value method, effect of choice of depreciation method on reported income 

Inventory valuation and income measurement, Effect of inventory valuation error on reported earnings

Inventory valuation following perpetual inventory system under LIFO, FIFO and Weighted Average Cost Methods and their impact on reported earnings

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

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

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.

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

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

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

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

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

This is offered as a core course in first trimester. This course will provide a general introduction to management principles and theories, and a brief outline on history and development of management thought.

Meaning; Scope; Managerial levels and skills; Managerial Roles; Management: Science, Art or Profession; Universality of Management. 

Ancient roots of management theory; Classical schools of management thought- Scientific Theory and Henri Fayol 14 , ; Behavioural School- Max weber and Elton Mayo Hothrone Experiment, Quantitative School; Systems Approach, Contingency Approach; Contemporary Management thinkers & their contribution. Ancient Indian Management systems & practices. Comparative study of global management systems & practices.

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

Organizational structure and design; types of organizational structures; Roles and Responsibilities Span of control, authority, delegation, decentralization and reengineering.

Human resource planning, Recruitment, selection, training & development, performance appraisal, Organizational Change -managing change, compensation and employee welfare. Use of Analytics and AI for HR Actions and Talent Management, Employee Motivation, Stress and managing employee stress 

Leadership concept, leadership Styles, Contemporary Leadership- Transformation leadership, servant leadership, toxic leadership, leadership communication. 

Importance of coordination and control; control process; Methods and techniques of control; Designing control systems, Quality Management

Social responsibility of managers, Managerial Ethics- Emerging Trends in Corporate Structure.

This is a common core course for 3 credit hours. It will discuss 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 to conceptualize 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:

1. To develop the knowledge of visualization.
2. To apply probability distribution to business data.
3. To examine sampling techniques in the context of decision making.
4. To assess statistical data in order to support fact-based decision making.
5. To determine models for analyzing relationships between variables

Frequency distributions, histograms, stem-and-leaf displays, bar charts, pie charts, and scatter plots.

Data Preparation: Editing, coding, data entry, cross-tabulation, and graphical displays using MS Excel

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

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

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

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

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

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

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

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

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

Correlation and Regression using MS Excel.

The course is offered as a mandatory core course for all students in Trimester I.  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: At the end of the course the student are able:

1. To infer the concepts of organizational behavior at the individual, group or organizational level
2. To choose multiple perspectives of the concepts of personality, perception and learning in organizations
3. To inspect the influence of job-related attitudes, values and job satisfaction on business decisions
4. To recommend the suitable motivational techniques to address business problems.
5. To assess the dynamics of group and teams in organizations

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

4.Interaction with company people

5.Website of organization

Number of topics studied (10)

Mapping the organization to its type (10)

Interaction with Mentor (10)

OST Completion Certificate (10)

SWOT Analysis (10)

No of Days of OST Work (10)

Presentation (15)

Report (15)

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.

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

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

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

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

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

$ Including practical sessions on SQL and Query by Example.

* Self Learning Topics/Module

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.

Business, National, International, Technology, Politics, Sports

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

Entrepreneurship & Startup, Exposure to Domains

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

Identify projects, Report writing

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.

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

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

Market Targeting, Developing and Communicating a Positioning Strategy.

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

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

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

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

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

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

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

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

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

Meaning, Objectives and scope of human resource development                             

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

Performance Management and Appraisal :                                                  

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

Compensation                                                                       

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

Introduction: The Field of Operations Management, Production Systems, OM in the Organizational Chart, Operations as Service, Historical Development of OM, Current Issues in Operations Management. Operations Strategy: Operations Strategy, Operations Competitive Dimensions, Corporate Strategy Design Process, Fitting Operational Activities to Strategy, Productivity Measurement.

Process Selection, Manufacturing Process Flow Design, Measuring Product Development Performance, Planning the strategic use of resources -Plant location and Plant Layout, Line balancing with numerical, Takt time.

Inventory Management: Definition of Inventory, Purposes of Inventory, Inventory Costs, Independent versus Dependent Demand, Inventory Systems, ABC, EOQ, FSN, VED and VMI

Introduction to SCM, Bull whip effect, Push and Pull Systems Role of Technologies in SCM

Management of Quality – Introduction to QM tools such as TQM, SPC, 7 QC tools and Six Sigma

Introduction, Project Planning, Structuring Projects and Work Breakdown Structure. Ethical issues in OM. Lean concepts & Sustainable operations

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.

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

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

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

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

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

SCP is offered as a Core course in the Second Trimester. This will be Service-Learning Course which refers to learning that actively involves students in a wide range of experiences, which benefit others and the community, while also advancing the goals of the Course outcomes. In this course Community-based service activities are paired with structured preparation and student reflection. 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. Students will work in teams of three to five; each team will select the NGO/project after approval of their academic faculty mentor.  Students must work towards bringing positive changes in the organisation by participating in the activities of the NGO and working towards solving problems to the satisfaction of the NGO. Voluntary service with the NGO is also expected from students. Students in teams must comply with the policies and guidelines set by the NGO they choose to do the SCP and the School of Business and Management. The learnings and student reflection will be recorded as part of the SCP report and presented to an audience of students.

Course Objectives

●       To identify sustainability issues in NGOs.

●       To analyse potential alternatives for issues related to NGOs sustainability. 

●       To evaluate appropriate solutions to facilitate improvements in the organisation.

●       To develop value-based leadership through serving with the NGOs.

Identification  -

Identification of NGO’s requirements

Analysis -Analyse the social and sustainable issues.

Determination of solution alternatives based on service input and service learning including preparation of report

Develop value based leadership by serving the NGO and submitting a report at the end.

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. To apply the basic concepts of Business Analytics
2. To apply the concepts of Machine Learning
3. To analyse the implications of Analytics in various functional areas
4. To assess data visually using tools 
5. To evaluate data using simulations through MS-Excel

Definition, Types - Descriptive, Predictive and Prescriptive Analytics, Ethics in data management, Business Analytics for decision making

Machine Learning - Definition, Machine Learning workflow, Models – CRISP DM & SEMMA, Types - supervised, unsupervised and reinforcement learning, managerial applications of Machine Learning

Applications of Analytics in various functional areas – Finance, Marketing, Human Resources and Operations

Business Intelligence – Concept and architecture, Role and significance in Business,

Fundamentals of visualization, Introduction to visualization tool (Tableau), data ingestion, working with visualization tool, dash boarding, story telling

functions, formulae, filters and conditional formatting. Pivot tables, Modelling using Multiple linear regression, Introduction to Monte Carlo simulation

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

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

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

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

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

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.

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

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

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

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

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

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

Course Description:  

This is a three-credit course offered as a Discipline Specific Elective 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.                1. To identify data and the components of Database Management System

                    2. To experiment with Database Model with its relationship

                  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                 5.  To evaluate knowledge of Query Language using SQL

5

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

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

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

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

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

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

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

CIAII    30

CIA III  30

Class Participation  10

Attendance   5

Total   100

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. 

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. Code of Ethics and Standards of Professional Conduct. (refer chapter 24.5 and Appendix B of the text book by Reilly and Brown on Analysis of Investments & Management of Portfolios); mutual funds- structure, types, risk and return.

Valuation by comparable- Intrinsic Value versus Market price- Dividend discount models, Constant growth and multistage growth -Price Earnings Ratio and other comparative valuation ratios-Free Cash flow valuation approaches- Comparing valuation models- Analysis of growth companies; Valuation of alternative Investments. Technical analysis – Advantages of technical analysis; Technical trading rules and indicators 

An introduction to Portfolio Management - Some background assumptions; measures of risk, return and utility; Markowitz portfolio Theory; portfolio mathematics- covariance and correlation of returns; portfolio return; portfolio risk; capital allocation; optimal risky portfolios; index modelsEquity portfolio management strategies – Passive Vs Active management; An overview of style analysis; asset allocation strategies; Evaluation of Portfolio performance – Composite Portfolio Performance measures; Application of Portfolio performance measures; Evaluation of bond portfolio performance.

An introduction to asset pricing models – Capital Market Theory: An overview; The Capital Asset Pricing Model: Expected return and risk; relationship between Systematic risk and return; Equilibrium and Disequilibrium; Multifactor Models of risk and return – Arbitrage Pricing Theory; Empirical factor models; Efficient Capital Markets – Why should capital markets be efficient? Alterative efficient market Hypotheses; Tests and results of EMH; Implications of efficient capital markets; Behavioral Finance-Standard Finance Versus Behavioral Finance, History of Behavioral Finance, Investor Behavior and asset allocation process, Investor Biases-Overconfidence, Representativeness, Anchoring, Mental Accounting, Loss Aversion, Framing, Availability bias and others

The Analysis and Valuation of Bonds – The fundamentals of Bond Valuation; computing bond yields; term structure of interest rates; interest rates risk, duration and convexity; Bond Portfolio Management strategies– Passive Management Strategies; Active Management Strategies

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 (7^th ed.). Tata McGraw Hill Publications

                                                                                                                                     TOTAL             100

This is offered as a core course in the 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. Explain the concept of sales force motivation, productivity and performance.

4. Analyse the concept of Marketing channel design and structure and its overall impact on marketing mix strategy in decision making.

5. Appraise the concept of Channel power, relationship and channel economics and its impact on the “Go to market" strategy.

Nature and importance of sales management, Dimensions of sales management.          Estimating market potential and forecasting sales: Importance and definitions of Sales forecasting methods-quantitative and qualitative techniques.                                                   Organizing the sales force --Nature and characteristics, Basic types of organization, Specialization within sales department.

Selling process:                                                                                                                     

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

Handling Objections: common customer objections, Reasons why prospects raise objections, Objection handling techniques and methods.                                                                                                  Closing call: Types of sales closures.  

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

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

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

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

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

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

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

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

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

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

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

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

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

Self-learning module

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

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

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 Description: 

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 visualisations to capture data characteristics

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

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

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

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

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

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

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

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.

Role of commercial banks in the economy- Intermediation between savers and users of money in the economy. Payment and Custodial services as functions. Universal Banking License Vs Differentiated Banking License. 

Structure of banks in India. Perspectives of Indian banking sector. Banking policy environment. (Reference: RBI circulars) 

Banking Products and Services Deposit products: Deposit Accounts, Current Accounts and Savings Accounts -Credit products – Term loans, Working capital loans – Cash Credit and Overdraft Accounts. Payment services and Custodial services, as products. 

Operation and performance of commercial banks (Reference: RBI circular).Understanding Bank financial statements. DuPont model for evaluating bank performance. Basic risk and return features of commercial banks.

Overall liquidity analysis. Estimating marginal cost of funds for pricing assets and taking investment decisions. How do banks meet legal reserve requirements and manage cash assets? A model to estimate liquidity needs and plan for temporary cash deficiencies and longer-term liquidity needs.

Basic credit analysis principles and the characteristics of different types of loans. Procedure for estimating a business borrower’s cash flow from operations. Basic credit scoring models applied to individual borrowers. Interpreting financial statements and generating cash flow estimates to determine repayment prospects. Customer profitability analysis the basic framework used to assess whether a bank is profiting from a customer’s total relationship. NPA regulations governing banks and NPA management.

Trade-offs involved in balancing credit risk, liquidity risk, interest rate risk, market risk, operational risk etc. How do banks measure and manage interest rate risk? Pricing of securities, total return analysis to investors and the determinants of interest rates. GAP analysis and the use of sensitivity analysis to assess the potential impact of interest rate and balance sheet changes on net interest income. Regulatory capital requirements under Basel III norms.

Relevance of socially responsible banking and financial inclusion. Technology in banking, off-the-shelf products versus in-house developed, in-sourcing versus outsourcing key technology functions. Recent trends in International banking.

2.      R M Shrivastava., Dr Divya Nigam, (2009). Management of Indian Financial Institutions.    8^th edition,  Publisher: Himalaya Publications.

3.      Gup Bentone., Kolari James W, Commercial Banking - The Management of Risk. 3^rd Edition,  Wiley India edition. 

4.      Bhattacharya Hrishikesh.,Banking Strategy- Credit Appraisal and Lending Strategies - A Risk-Return Framework.   Oxford University Publications.

5.      Mukherjee D.D., Credit Appraisal, Risk Analysis and Decision Making. 4^th enlarged and revised edition, Snow White Publications. 

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.

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

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

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

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

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

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

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

Seema Gupta , Avadhoot Jathar,Marketing Analytics (2022) : Wiley Publication

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

CIA 01: 20 Marks

CIA 02: 20 Marks

CIA 03: 20 Marks

CIA 04: 25 Marks

Class Participation: 10 Marks

Attendance: 05 Marks

Total: 100 Marks

This is a three-credit course offered as a Discipline Specific Elective 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 student should be able to

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.

To discover principal component analysis

Installing R and R-Studio, downloading packages in R, using the R-Studio interface. Importing data into R – text files, Excel, from other statistical software packages, from databases, and from the web, viewing data. Arithmetic with R, Variable assignment, basic data types in R.

Vectors, Matrices, Data frames and Lists. Categorical data – factors, discretizing variables, summarization of data, R-markdown 

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

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

Frequency tables and Cross-tabulation. Introduction to base graphics in R, different plot types, adding details to plots, managing visual complexity, creating plot arrays.

Advanced plot customization, other graphics systems in R.

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

Exploring categorical data, exploring numerical data, Descriptive Statistics – measures of central tendency and variability.

Exploratory Data Analysis(EDA) across different domains for actionable insights

Testing of Hypothesis – t-test, Chi-Square test, ANOVA, Correlation.

Simple Linear Regression, multiple regression – assumption checking, model estimation and validation.

Introduction to dimensionality reduction- Principal Component Analysis(PCA), Factor Analysis (FA) 

2.     Knell, R. (2013) Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R. [Kindle Version]. Retrieved from http://www.amazon.in.

3. Murray, S. (2013) Learn R in a Day. [Kindle Version]. Retrieved from http://www.amazon.in.

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

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

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

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

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

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

Contemporary articles from professional bodies and magazines 

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

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.

Business and Consumer marketing-A contrast, the value chain, Trends and changes in Business
marketing.

Classifying customers, Organizations and Markets, Types of organizational customers and their
unique characteristics of Commercial enterprises, Government and Institutional Markets.
Organizational buying and buying behavior: The nature of buying, organizational buying process-
A process flow model.

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

Segmenting, Targeting and Positioning. Value based segmentation. A model for segmenting the
organizational Market.
Organizational demand analysis, determining market and sales potential, Sales forecasting methods.

Managing Innovation and New product development process. Pricing in Business-to-Business
Marketing. Pricing basis, managing price as part of Marketing Strategy, Managing pricing tactics,
pricing implementation-case of negotiated pricing.
Direct & Indirect channels, Distributors & manufacturers rep, Channel objectives & Design,
Selection & Motivation of channel members. B2B Advertising, Trade shows, Personal selling, Key
account management. Managing service for Business Markets, Ethics as strategy in B2B selling.
Use of technology and AI. Sustainable production as a strategic intervention for profit
maximization.

Course Description: The course is offered as a generic elective in the third trimester. In this course students learn to recognize how differences and conflicting situations affect work relationships and learn strategies for responding productively and positively to these differences & resolve conflicts. The course also provides for an understanding of the process and tactics used for effective negotiations in various situations. Students get a perspective on how culture could influence international negotiations as well.

Course Objectives: This course is designed to help students:

• Make use of various dimensions of conflict

• Identify the approaches of conflict resolution as a means for improving relationships at work

• Examine the practical understanding of the process of negotiation

• Utilize various approaches available to manage negotiations

• Examine cross-cultural understanding to negotiation situations

Introduction to Conflict, Nature & Types of conflict-Intra, Interpersonal, Intergroup conflicts, Sources of Conflict.

Conflict resolution strategies, Improving relationships at workplace- Johari window, Transactional analysis