CHRIST (Deemed to be University), LAVASA
School of Business and Management
Bachelor of Business Administration (Business Analytics)
Course Structure for the Batch 2021 - 2024
Semester I
Course
Code Title
Theory/
Practical Type*
Hr/w
k Credits CIA ESE Total
Durat
ion of
Exam
BBA131 Principles of
Management Theory CC 4 4 70 30 100 2
BBA132
Financial Accounting Theory
CC 4 4 70 30 100 2
BBA133 Micro Economics Theory CC 4 4 70 30 100 2
BBA134L Business Mathematics
Theory PC 4 4 70 30 100 2
ENG121L English
Theory AECC 3 3 70 30 100 2
LAN121L Language
Theory AECC 3 3 50 50 100 2
HOL111 Holistic Education Theory SEC 1 1 Grade
(50) NA
BBA112L Foundations of Data
Science Theory &
Practical SEC
(CIA
Based)
2 1 50 NA
BBA113L
Spreadsheet
application in
analytics
Practical
SEC 3 - Grade
(100)
-
Any 1 Generic Elective to be chosen out of 2
BBA161L
A
Innovation and
Creativity in Business
Theory GE 2 2 100 100 -
BBA161L
B
Business
Communication Theory GE 2 2 100 100
Total 30 26 750
Semester II
Course
Code Title
Theory/
Practical Type*
Hr/w
k Credits CIA ESE Total
Durat
ion of
Exam
BBA231 Organizational
Behavior Theory CC 4 4 70 30 100 2
BBA232 Business Statistics Theory CC 4 4 70 30 100 2
BBA233 Macro Economics Theory CC 4 4 70 30 100 2
BBA234L Introduction to Business
Analytics Theory PC 4 4 70 30 100 2
ENG221L English
Theory AECC 3 3 70 30 100 2
LAN221L Language
Theory AECC 3 3 50 50 100 2
EVS 221 Environment Studies
Theory AECC 2
HOL211 Holistic Education Theory SEC 1 1 Grade
(50)
BBA212L
Global Capital Markets
and Investment
Banking
Practical SEC 3 - Grade
(100) NA
BBA213L
Basics of R
programming
Theory
&
Practical SEC
2 1 100 100 -
Any 1 Generic Elective to be chosen out of 2
BBA261L
A
Design Thinking
Theory GE
2 2 100 - 100 -
BBA261L
B
Intellectual Property
Management
Theory GE
2 2 100 - 100 -
Total 30 28 700
Semester III
Course
Code Title
Theory/
Practical Type*
Hr/w
k Credits CIA ESE Total
Dur
atio
n of
Exa
m
BBA331 Financial Management
Theory CC 4 4 70 30 100 2
BBA332 Human Resource
Management Theory
CC 4 4 70 30 100 2
BBA333 Marketing Management
Theory
CC 4 4 70 30 100 2
BBA334L Introduction to Database
Management Systems Theory&
Practical PC
4 4 70 30 100 2
BBA335L
Operations Research Theory PC 4 4 70 30 100 2
HOL311 Holistic Education Theory SEC 1 1 Grade
(50)
BBA312L Applied R for Analytics Practical SEC 3 -
Grade
(100) -
BBA381L Organization study Practical SEC 1
Grade
(100) -
Any 1 Generic Elective to be chosen out of 2 BBA361L
A Human Rights Law Theory GE 3 3 100 100 NA
BBA361L
B
Family Business
Management Theory GE 3 3 100 100 NA
Total 27 25 600
Semester IV
Course
Code Title
Theory/P
ractical Type*
Hr/
wk Credits CIA ESE Total
Dur
atio
n of
Exa
m
BBA431 Cost and Management
Accounting Theory CC 4 4 70 30 100 2
BBA432 Entrepreneurship
Development Theory CC 4 4 70 30 100 2
BBA433 Research Methodology
Theory CC 4 4 70 30 100 2
BBA434L International Business Theory PC
4 4 70 30 100 2
BBA435L
Data Visualization Practical PC 4 4 70 30 100 2
HOL411 Holistic Education Theory SEC 1 1 Grade
(50)
BBA 412L Applied Python for
Analytics Practical SEC 3 -
Graded
(100)
Any 1 Generic Elective to be chosen out of 2
BBA461L
A
Web Scraping for Data
Analytics
Practical GE 3 3 100 100 -
BBA461L
B Corporate Governance Theory GE 3 3 100 100 -
Total 27 24 600
Semester V
Course
Code Title
Theory/
Practical Type*
Hr/w
k Credits CIA ESE Total
Durat
ion of
Exam
BBA531 Strategic Management
Theory CC 4 4 70 30 100 2
BBA532 Taxation Laws
Theory CC 4 4 70 30 100 2
BBA533L
Knowledge Management
Theory PC 4 4 70 30 100 2
Any 2 Discipline Specific Electives to be chosen out of 3
BBA541LA Digital Marketing Theory DSE 4 4
70 30 100 2
BBA541LB Human Resource Analytics Theory DSE 4 4
70 30 100 2
BBA541LC
Artificial Intelligence for
Business & Society Theory DSE 4 4 100 100 2
BBA581L Internship Project Practical SEC Grade
(100)
BBA511L Structured Query
Language in Analytics Practical SEC 3 -
Grade
d
(100)
Total 23 20 500
Semester VI
Course
Code Title
Theory/
Practical Type*
Hr/w
k Credits CIA ESE Total
Dur
atio
n of
Exa
m
BBA631 Operations
Management Theory CC 4 4 70 30 100 2
BBA632 Business Laws
Theory CC 4 4 70 30 100 2
BBA633L Banking & Insurance
Theory
PC 4 4 70 30 100 2
Any 2 Discipline Specific Elective to be chosen out of 3
BBA652LA
Retail Management
Practical DSE 4 4 100 100 2
BBA652LB Fintech
Practical
DSE 4 4 100 100 2
BBA652LC Supply Chain Analytics
Practical
DSE
BBA681L
Research Project
Practical SEC 2 3 100
IC631L INDIAN
CONSTITUTION SEC 1
BBA611L Applied Data Mining
and Big Data Practical SEC 3 -
Grade
(100)
Total 25 24 600
TPC*Total
Credits 147 Total Marks 3750
Semester Credits
I 26
II 28
III 25
IV 24
V 20
VI 24
Total 147
SYLLABUS FOR SEMESTER I
School of Business and Management
CHRIST (Deemed to be University)
Course Name: Principles of Management Course Code: BBA131
Total number of hours: 60 Hours Credits: 4
Course Description: The dynamic business environment, compels managers to perform a
challenging role in steering the organizations’ success to new heights. This comprehensive
introductory course has been designed to provide valuable insights into the functions of modern-
day managers. By tracing the historical evolution of management thought, it explores the basic
concepts, principles and theories of management. It orients the learners towards basic
understanding of managerial functions like planning, organizing, staffing, motivation,
communication, controlling and supervision. By focusing on the contemporary challenges faced
by organizations in recent years, it enables the proponents to gather knowledge about skills
which would have a real time application in the corporate world.
Course Objectives:
To outline the fundamental activities of managers
To explain the basic concepts, principles and theories of management
To examine the broad functions of management
To identify the contemporary issues and challenges in the field of management
To identify ethical workplace practices
Course Learning Outcomes: On having completed this course student should be able to:
CLO1 Demonstrate understanding of the role of managers in an organization
CLO2 Summarize the elementary concepts, principles and theories of management
CLO3 Examine the managerial functions having an impact on the organizational effectiveness
CLO4 Identify the contemporary issues and challenges in management
CLO5 Develop ethical workplace practices
Pedagogy: This course uses multiple pedagogies like interactive lecture, students’ discussions
and PPTs, case studies, quizzes, role plays, and other forms of experiential learning.
UNIT I Introduction to Management
10 Hours
Definition – nature, process and significance of management – Role of managers – Managerial
Skills and Roles - Evolution of Management Thought: Classical Management Approaches,
Behavioural Management Approaches, Quantitative Management Approach, Modern
Management Approaches - Management as a Science or Art - Management as a profession-
Administration and Management- Functions of Management – Functional Areas of
Management.
UNIT II Planning and Decision Making
10 Hours Planning - Nature and Importance of Planning- Types of Plans - Levels of Planning - Steps in
planning - Making Effective Plans- Objectives and Management By Objective (MBO) –
Management By Exception (MBE) - Policy and Strategy- Forecasting and Decision Making -
Nature of decision making - Types of decisions – Decision Making Process – Rational
Perspectives and Behavioural Aspects of decision making.
UNIT III Organizing
10 Hours Organizing - Nature and purpose - Principles of Organization - Types of Organization -
Organisational Structure and Design – Line, Staff and functional authority – Conflict between
Line and Staff – Overcoming the Line-Staff Conflict. Departmentation - Span of control –
Authority, Responsibility and Accountability - Principles of Delegation - Steps - Centralization
Vs Decentralization – Factors determining the degree of Decentralization of authority.
UNIT IV Staffing
8 Hours Staffing - Nature and Purpose of staffing – Importance of staffing – Components of Staffing -
Manpower planning - Recruitment and Selection - Training and Development - Performance
Appraisal.
UNIT V Directing
10 Hours
Directing – Nature of Directing function - Principles – Importance of Effective Direction –
Motivating people at work – Early motivational theories, Leadership and change - Effective
Communication skills for directing – Barriers of communication.
UNIT VI Controlling and Supervision
7 Hours
Controlling - Concept, Nature and Importance - Essentials of Control - Requirements of an
Effective Control System – Behavioural Implications of Control – Techniques of Managerial
control - Co-ordination – Need for co-ordination – Types of Co-ordination - Techniques of
Coordination - Cooperation. Supervision – Position of a supervisor – Qualities of a good –
Essential requirements of effective supervision.
UNIT VII Contemporary Issues and Challenges in Management of 21st Century
5 Hours
Total quality management, Work force diversity, Globalization and innovation, Enterprise
mobility, How to manage and control virtual teams, creating an ethical workplace.
Core Text:
1. Stoner, Freeman, Gilbert Jr. (2014). Management (6th edition), New Delhi: Prentice
Hall India.
Reference Books:
1. Daft, R. L. (2009). Principles of Management (1st edition), Cengage Learning.
2. Gupta, R.S., Sharma, B.D., & Bhalla. N.S. (2011). Principles & Practices of
Management (11th edition). New Delhi: Kalyani Publishers.
3. Williams. Management, (International edition) South-western Cengage Learning.
4. John R. Schermerhorn. Management, Wiley-India
5. Koontz, H., & Weihrich, H. Essentials of Management, McGraw Hill Publishers.
6. L M Prasad, (2007). Principles and Practices of Management, Himalaya Publishing
House
7. Rao, P.S. (2009). Principles of Management, Himalaya Publishing House.
8. Moshal, B.S. Principles of Management, Ane Books.
Course Name: Financial Accounting Course Code: BBA132
Total number of hours: 60 Hours Credits: 4
Course Description: This course intends to introduce basic accounting principles and
practices. It also deals with subsidiary books maintained in business organizations. The
students will have knowledge about the fundamental accounting processes such as
journalizing, ledger posting, preparation of trial balance and final accounts in sole trading
business. It also deals with providing an overview of accounting standards and IFRS. This
course will be useful for all those who are desirous of having an understanding and
application of financial dynamics of the business and become successful financial
managers/entrepreneurs.
Course Objectives:
To provide an understanding of application of various principles and practice of
Accounting.
To demonstrate the knowledge on the process of accounting cycle and basic steps
involved in Accounting.
To extend the knowledge of systematic maintenance of books of accounts to real life
business.
To interpret Annual Financial statements of Sole proprietorship form of business.
To outline the need for Accounting standards and IFRS.
Course Learning Outcomes: On having completed this course student should be able to:
CLO1 Identify the application of various principles and practice of Accounting in
preparation of accounting statements.
CLO2 Demonstrate the knowledge on the process of accounting cycle.
CLO3 Extend the knowledge of systematic maintenance of books of accounts to real life
business.
CLO4 Interpret Annual Financial statements of Sole proprietorship form of business.
CLO5 Outline the need for Accounting standards and IFRS
Pedagogy: This course uses multiple pedagogies like interactive lecture, hands on
preparation of financial statements, discussions & presentations and experiential learning
of cash book preparation for kirana shops of the locality.
UNIT I Introduction to Accounting
6 Hours
Meaning, Need for accounting, Internal and External users of accounting information,
limitations of accounting, accounting Concepts and Conventions, Accounting Practices,
Generally Accepted Accounting Principles.
Unit II Accounting Systems and Process
12 Hours Nature of Accounting, Accounting equation - Systems of Accounting, Process of Accounting
transactions- types of Accounts, Rules of Accounting. Journal - Meaning, features, simple
and compound entries, Including recording of GST transactions, Capital and revenue
expenditures, Capital and revenue receipts, Contingent assets and contingent liabilities,
Preparation of ledgers and Trial balance.
Unit III Subsidiary Books
10 Hours
Conceptual introduction to subsidiary books - Sales book, Sales return book, Purchases book,
Purchase returns book, receivable book, payable book. Practical problems in Cash Book-
Single column, double column, and three columnar cash book.
Unit IV Bank Reconciliation Statement
8 Hours
Need for reconciliation and preparation of bank reconciliation statement.
Unit V Rectification of Errors
8 Hours
Need for rectification of errors, types of errors, process of rectification and accounting entries
of rectification.
Unit VI Final Accounts
12 Hours
Preparation of Trading and Profit and Loss account and Balance Sheet of sole trading
concerns.
Unit VII Accounting standards and IFRS
4 Hours
Types of Accounting standards, Need for IFRS, Ind AS and IFRS.
Essential Reading:
Jain S.P., & Narang K L. (2020). Basic Financial Accounting I, New Dehli, Kalyani
publishers.
Recommended Reading:
1. Maheshwari, S.N., & Maheshwari, S.K. (2020). Advanced Accountancy1, New
Delhi: Jain Book Agency.
2. Shukla, M. (2020). Advanced Accounts, New Delhi, S Chand Group
3. Radhaswamy, M & Gupta, R.L. (2020).Advanced Accountancy 2, New Delhi,
Sultan Chand & Sons.
4. Reddy, A. (2020). Fundamentals of Accounting, New Delhi, Himalaya Publishing
House
5. Gupta, A. (2020). Financial Accounting for Management: An Analytical
Perspective, Noida, Pearson Education.
6. Raman, B. S. (2014). Financial Accounting (1stedi).I & II, New Dehli:United
Publishers.
7. Porter, G.A., & Norton, C.L. (2013). Financial Accounting (IFRS update)( 6thedi),
Cengage Learning.
8. Jawahar Lal & Seema Srivastava (2013). Financial Accounting New
Delhi:Himalaya Publishing House.
9. Arora M. N. (2013). Accounting For Management. New Delhi: Himalaya
Publishing House.
Bhattacharya .(2013). Essentials of Financial Accounting (Based on IFRS) (2ndedi),
Prentice Hall India.
Course Name: Microeconomics Course Code: BBA133
Total number of hours: 60 Hours Credits: 4
Course Description: This common core course helps students to think in the economic way
of establishing a connection between unlimited wants and limited resources available to an
individual, firm and the society. It deals with the application of economic analysis in
formulation of business decisions. In this context, the course deals with demand, supply,
pricing, theory of consumer choice, theories of production and market structures.
Course Objectives:
This course aims to help students to:
Describe how economic trade-offs and social values impact business decisions.
Understand the causes and consequences of different market conditions.
Explain the theory of consumer choice using the utility concepts.
Make use of the concept of market equilibrium in business decisions.
Analyse cost of production and revenue of business operations.
Evaluate the market outcome(s) under different market structure.
Course Learning Outcome
At the end of the course, the students will be able to:
CLO1: Illustrate society's trade-offs by using Production Possibility Frontier.
CLO2: Explain the effect of shifts in market supply and demand curves on price and
quantity produced by firms.
CLO3: Explain how consumers maximise total utility within a given income using the
utility concepts.
CLO4: Examine the effects of negative and positive externalities and examine the real-
world externality situations.
CLO5: Anlayse relationship between different cost and revenue concept related to
production process.
CLO6: Compare the pricing mechanism and output determination under different
market conditions.
Unit I Basic Concepts
6 Hours
Ten Principles of Economics: How People Make Decisions - How people Interact - How the
Economy as a Whole Works; Thinking Like an Economist - Role of Observations, Theory
and Assumptions in Economics; Role of Economic models - The Circular Flow Diagram -
Production Possibility Frontier - Opportunity Cost; Central Problems of an Economy;
Microeconomics and Macroeconomics.
Unit II The Basics of Supply and Demand
10 Hours Markets and Competition; Demand - Law of Demand, Exceptions to the Law - Market Demand -
Changes in Demand; Supply - Law of Supply, Exceptions to the Law - Market Supply - Changes in
Supply; Equilibrium – Steps - Changes in Equilibrium.
Unit III Elasticity and its Application
7 Hours
Elasticity of Demand - Price Elasticity and Its Determinants - Methods of Measurement - Degrees
of Price Elasticity - Total Revenue and Price elasticity; Income Elasticity Demand; Cross Elasticity
Demand; Elasticity of Supply-Determinants - Measurement and Degrees.
Unit IV Theory of Consumer Behaviour
10 Hours
Utility - Characteristics and Types - Cardinal and ordinal Utility analysis – Law of Diminishing
Marginal utility; Budget Constraint; Indifference curves - Properties, Consumer’s equilibrium -
Price Effect - Income Effect and Substitution Effect.
Unit V Market Efficiency and Externalities
5 Hours
Consumers, Producers and the Efficiency of the Markets: Consumers surplus (Marshall) - Producer
surplus and Market efficiency; Externalities and Market Inefficiency - Negative and Positive.
Unit VI Theory of Production and Cost
10 Hours Production Function; Law of Variable Proportions; Law of returns, Economies of Scale; Iso-quants
and Iso-cost lines. Cost Function - Important Cost Concepts; Short Run and Long Run Cost
Analysis (traditional theory) - Modern theory of cost; Long Run and short Run Revenue analysis.
Unit VII Market Structure and Competitive Strategy
12 Hours
Market structure - Perfect Competition - Price and Output Determination - Role of Time
Element in Market Price Determination; Monopoly - Price and output determination, Price
Discrimination; Monopolistic Competition - Price and Output Determination-Selling Costs
- Product Differentiation – Oligopoly - Duopoly Example - Price Determination (Collusive
Pricing, Price Leadership).
Essential Reading:
Gregory Mankiw, N. (2016), Principles of Economics, 8th Edition, Cengage Learning India.
Recommended Reading
Robert S Pindyck and Daniel L Rubinfeld (2013), Microeconomics, 8th Edition, New York:
Pearson.
Salvatore, D. (2011). Managerial Economics in a Global Economy (7th ed.). Oxford: Oxford
University Press.
Sen, Anindy (2006). Microeconomics: Theory and application (2nd ed.). Oxford: Oxford
University Press.
Course Name: Business Mathematics Course Code: BBA134L
Total number of hours: 60 Credits: 4
Course Description: In recent times Mathematics has emerged as the key for major decision making
process. The subject is introduced to provide the basic knowledge giving emphasis on the
applications in business. Understanding of mathematical models is essential to project the real life
scenario in simplified form in business. The study of matrices helps to handle mathematical models
with many variables. The decision making environment is so complex that the right and appropriate
decision can only be made with good analytical skills.
Course Objectives
To interpret the basic concepts in Mathematics.
To appreciate wide applications of mathematical models in business.
To perform data driven decisions.
Course Learning Outcomes: On having completed this course student should be able to:
CLO1- Outline basic concepts in Mathematics.
CLO2- Appreciate wide applications of mathematical models in business.
CLO3- Perform data driven decisions.
Pedagogy: This course uses multiple pedagogies like interactive lecture, problems and case based
problems
Unit - I: Linear and quadratic models 12 Hrs
Linear and quadratic equations in one and two variables, simultaneous linear equations,
Linear inequalities in one variable, linear functions, slope and equations of a line, linear
mathematics models, constructing mathematical models
Unit – II: System of Linear Equations and Matrices 13 Hrs
Addition of matrices – System of linear equations, addition and multiplication of Matrices –
Determinants – Inverse of a matrix by Gauss Jordan method. Application of matrices and
Determinants – Solution of a system of linear equations- Gauss elimination method- The Leontief
Input Output Model
Unit – III: Permutations and combinations 9 Hrs
Permutations – Factorials, Permutations of n Different Things, Permutations of Things not
all Different, circular permutations and restricted permutations; Combinations –
Complementary combinations, restricted combinations, Combination of Things not all
different.
Unit – IV: Commercial Arithmetic 6 Hrs
Simple interest – Compound Interest. Equivalent Rate – Depreciation - Present value.
Annuity – Sinking Fund
Unit V- Sequence and series 5 Hrs
Types of sequence – Finite, Infinite, Fibonacci; Kinds of sequence – Arithmetic
Progression, Geometric Progression, Harmonic Progression
Unit VI – Calculus 15 Hrs
Limits – Differentiation - Methods of differentiation – Second order derivative – Maxima and
Minima. Application to commerce and Economics. - Revenue Function – Cost function – Profit
function – Elasticity of demand – Breakeven point.
Essential Reading :
Sancheti, D. C., & Kapoor, V. K. (2009). Business Mathematics. New Delhi: Sultan Chand
and Sons.
Recommended Reading
1. Gupta, J. D., P, K., &ManMohan. Mathematics for Business and Economics. Tata
McGrawHill Publishing Company Limited.
2. Navaneetham, P. Business Mathematics and Statistics. Anand Publishers.
3. Padmalochan, H. (2010). A TextBook of Business Mathematics, New Delhi: Sultan Chand
and Sons.
4. Singh, J. K. (2013). Business Mathematics, New Delhi: Himalaya Publishing House
5. Vohra, N. D. (2009). Quantitative Techniques in Management (4th ed.). New Delhi: TMH
Publishers
Course Name: Foundations of Data Science Course Code: BBA 112L
Total number of hours: 30 Credits: 2
Course Description: 'Data Scientist' is one of the hottest professions of the 21st century. The
Foundations of Data Science is a comprehensive course with a strong focus on skills such as statistics,
data mining, data wrangling, data visualization, regression models and clustering, decision trees,
linear and logistic regression, OSMEN Methodology. This course aims to build an understanding of
concepts like supervised and unsupervised learning models, and more.
The program concludes with a study of industry cases. These projects are selected to reinforce the
subject by building a real-life predictive model, encompassing all the key aspects learned throughout
the program. The skills focused on in this program will help the students be prepared for career
opportunities in the field of Data Science.
Course Objectives:
To understand the relevance of Data Science and its application in business context
To infer data visualization for exploratory analysis
To develop supervised and unsupervised algorithms based on the problem statements and
the data
To develop the performance of the models for business context
To construct analytics solutions and estimate the efficacy
Course Learning Outcome: On having completed this course student should be able to:
CLO 1 Outline the importance of Data Science and its applications
CLO 2 Illustrate data visualization for exploratory analysis and effective communication to a
diverse audience
CLO 3 Build supervised and unsupervised algorithms based on the problem statements and the data
(labelled and unlabelled data)
CLO 4 Evaluate the performance of the models
CLO 5 Build analytics solutions and assess their effectiveness;
Pedagogy: This course uses multiple pedagogies like interactive lecture, problems and case based
problems
Unit 1: Introduction to Data Science 2Hrs
What is Data Science? Roles of Data Scientist, Other Opportunities in this field. Understand the
differences between Artificial Intelligence, Machine Learning, Deep Learning - their applications
and trends; Difference between the Statistical and ML Approaches; Big Data and misconception
about them;
Unit 2: Data Science Tool Kit 9Hrs
Introduction to Data Life cycle; introduction to OSEMN methodology; introduction to Orange
OBTAIN AND SCRUB
Types of data sources; obtaining the data; data preparation to achieve business objectives;
identification of data requirements to solve business problem; the importance of data quality; dealing
with duplicate, missing, and incomplete data.
EXPLORATORY DATA ANALYSIS
Introduction to EDA, Data Visualization with Orange -Data mining tool. Data Wrangling, Data
Cleaning and Preparation for the model preparation, Feature engineering (Feature Scaling and
Standardization), Univariate Analysis, Multivariate Analysis and Correlation study using Orange.
Application of descriptive statistics on real-life dataset; draw inferences; data visualization using
Orange: Histograms, frequency distributions; box plot; basic probability concepts; conditional
probability, probability distributions;
Unit 3: MODELS 10Hrs
Supervised learning and different types of Supervised Learning algorithms, [Regression, and
Classification Models] (Logistic, Decision Tree, CART); The Curse of Dimensionality (COD); bias-
variance trade-off; train-test split; K-fold cross-validation; evaluate various models and comparison
of performance; Training and Visualizing a Decision Tree, Computational Complexity, Gini Impurity
or Entropy?, Regularization Hyperparameters
Case study based on Simple Linear Regression Algorithm
Case study based on Logistic Classification Algorithm
The Hands-on practice exercise will be based on Industry case studies
Unit 4: Multivariate Unsupervised Learning 3 Hrs
Association and dependence; differences between causation and correlation; the importance of the
Simpson’s paradox; illustration of clustering techniques (cluster by variable or factor analysis and
cluster by observation); K-Means Clustering, K-Means Algorithm with example, Pros & Cons of
K-Means Clustering hands-on problems using K-Means algorithm.
Unit 5: Natural Language Processing And Sentiments Analysis 4 Hrs
NLP - the branch of machine learning and data science that deals with text and speech; a model for
sentiment analysis in Python; NLTK (Natural Language Tool Kit) library; and latent semantic
analysis or LSA. POS Tagging & Named Entity Recognition
Introduction to Sequential models, Long Short Term Memory (LSTM), Applications of LSTMs,
Sentiment analysis using LSTM.
HANDS-ON EXERCISES: Two Industry Case Studies 2Hrs
Essential Reading
The faculty will provide the presentation and exercises to the students
Reference Books
1. Geron, A (2017). Hands-on Machine Learning with Scikit Learn and TensorFlow.
O′Reilly; 1st edition
2. James, G et al., (2014), Introduction to Statistical Learning. 2nd Edition, Springer
Software required
• Anaconda Navigator
https://docs.anaconda.com/anaconda/navigator/#:~:text=Anaconda%20Navigator%20is%20a%20d
esktop,in%20a%20local%20Anaconda%20Repository.
• Orange: http://orange.biolab.si/download/#windows
Course Name: Spreadsheet Application In
Analytics
Course Code: BBA113L
Total number of hours: 45 Credits: No credits
Course Description: The objective of this course is to provide hands-on and practical
implementation of Financial Modeling in Excel.
Course Objective:
To understand basic and intermediate Excel functions and functionalities.
To apply Excel functions and functionalities to Finance
To learn how to analyze financial datasets in Excel
To Learn how to perform advanced searches, lookups, filters and aggregations on financial datasets
To Understand and learn how to perform scenario and sensitivity analysis in Finance
To Learn how to build basic applications and dashboards in Excel for Finance
To Learn how to perform Statistics for Finance in Excel
To Understand concepts in Financial Management, Statistical Finance and Corporate Finance using
Excel
To Learn to apply valuation techniques such as DCF, Transaction multiples
To Learn to create an integrated financial modeling and forecasting mechanics
Course Learning Outcomes: On having completed this course student should be able to:
CLO 1 – Analyze the basic and intermediate Excel functions and functionalities
CLO 2 - Apply Excel functions and functionalities to Finance
CLO 3 – Evaluate the financial datasets in Excel
CLO 4 – Develop the financial dashboards
CLO 5 - Illustrate advanced searches, lookups, filters and aggregations on financial datasets
CLO 6 - Elaborate and learn how to perform scenario and sensitivity analysis in Finance
CLO 7 -Interpret how to build basic applications and dashboards in Excel for Finance
CLO 8 - Infer how to perform Statistics for Finance in Excel
CLO 9 - Formulate concepts in Financial Management, Statistical Finance and Corporate Finance
using Excel
CLO 10 - Develop valuation techniques such as DCF, Transaction multiples
CLO 11 - Design an integrated financial modeling and forecasting mechanics
Pedagogy: This course uses multiple pedagogies like interactive lecture, problems and case based
problems
Unit- I: Advanced Excel Functions on financial datasets 9Hrs
Lookups and Searches (within table, across tables), Statistical Finance functions, Corporate Finance
functions, Aggregation functions - Applications of Sumifs and Countifs, Aggregation functions -
Conditional Sumproducts, Other Usefuls functions - string / statistical / date-time, Error Handling
Functions, Dynamic modeling using Named Ranges
Unit II Advanced Lookups and Searches on financial datasets 9Hrs
Reverse lookups, dynamic searches, Multiple Lookups with applications to financial data sets,
Multi-dimensional searches in Excel, Applications on financial time series and datasets
Unit III: Data Aggregation techniques in Excel for financial datasets 6Hrs
Data Aggregation methods, Using Tables as a powerful way to build dynamic formulae
Aggregation using Pivot Tables & Techniques, Filtering Techniques, Conditional aggregation
techniques (using datasets)
Unit IV: Using Excel for Advanced functionalities in Finance 3Hrs
Solver & Optimization Techniques, Scenario Analysis, Sensitivity Analysis, Goal Seek, Examples
from various finance and banking domains on applications of above principles
Unit V: Dashboard creation: 12Hrs
Advanced Graphing in Excel, Advanced Conditional Formatting in Excel, Applications from
Finance for aggregating financial datasets and financial time series, Writing Complex Logic and
applied examples
Unit VI: Building Integrated Financial Model 6Hrs
Understanding and creating a financial model template, Calculating Growth Drivers and Future
Assumptions, Revenue Build-Up - Projecting the Future Revenues, Cost Build-Up - Projecting the
Future Cost, Modeling historical & projected financial statements - P&L and B/S, Building an
integrated model for valuation using DCF, Sensitivity/Scenario Analysis
Incorporating other accounting details like revenue recognition, deferred taxes etc.
Essential Reading
Simon Benninga, Financial Modeling with Excel (4th edition)
Recommended Reading
1. Chandan Sengupta - Financial Analysis and Modeling Using Excel and VBA (2nd edition)
2. Jackson and Staunton – Advanced Modeling in Finance using Excel and VBA
Course Name: Innovation and creativity in
Business
Course Code: BBA161LA
Total number of hours: 30 Credits: 2
Course Description: Actual business context requires a degree of adaptation to change which
requires the acquisition of new skills and abilities to seize opportunities and improve productivity
and economic performance. This course deals with the study of innovation and creativity. Students
are expected to understand and identify strategies to promote ideas on innovative /creative products
or services and necessary actions to implement them successfully.
Course Objective:
To demonstrate how creativity leads to innovation.
To develop and implement strategies to enhance personal creativity and transform it to
innovation.
To analyse creativity, barriers to creativity
To analyse the role of a leader in promoting innovation and creativity Course Learning Outcomes: On having completed this course student should be able to:
CLO1- Demonstrate how creativity leads to innovation.
CLO2- Develop and implement strategies to enhance personal creativity and transform it to
innovation.
CLO3- Analyse creativity, barriers to creativity
CLO4- Analyse the role of a leader in promoting innovation and creativity
Pedagogy: This course uses multiple pedagogies like interactive lecture, students’ discussions
&presentations, case studies and article analysis, and experiential learning through building new
innovative and creative businesses.
Unit - I: Introduction to the process of innovation 6Hrs
Incremental and Radical Innovation, Factors that favours incremental innovation, Innovation in
processes, Service innovations. The concept of S-curve: Three lessons, Where do you stand on the
S- curve? Limits to these lessons.
Unit - II: Idea generation 6 Hrs New Knowledge, Tapping the ideas of customers, learning from the lead users, Empathetic design,
Invention factories and Skunkworks, Open market innovation, the role of mental preparation, how
management can encourage idea generation, Two idea generating techniques
Unit-III: Recognizing opportunities and Moving innovation to market 6 Hrs A method for opportunity recognition, Rough -cut business evaluation. The idea funnel, Stage-gate
systems, A caution on funnels and stage-gate systems, Financial issues, Extending innovation
through platforms.
Unit-4: Creativity and creative groups 6Hrs
Myths about creativity, three components of individual creativity, Characteristics of creative groups,
Handling conflicts in groups, Time pressure and creativity. Enhancing creativity: enriching the
organization and workplace, Organisational enrichment, Enriching the physical workplace.
Unit-5 Role of Leaders in promoting innovation 6 Hrs Develop
an innovation -friendly culture, establish strategic direction, be involved with innovation, be open
but skeptical, Improve the idea-to-commercialisation process, apply portfolio thinking, put people
with the right stuff in charge, create an ambidextrous organisation.
Essential reading: Richard Luecke (2003). Guide to Managing Creativity and Innovation, Harvard Business Press.
Books for Reference: 1. P. Rizwan Ahmed (2015). Creative & Innovation Management, Margham Publications.
2. R. Keith Sawyer (2014). Explaining Creativity: The Science of Human Innovation. Oxford
University Press
Course Name: Business Communication Course Code: BBA 161LB
Total number of hours: 30 Credits: 2
Course Description: This course will give the students a conceptual understanding about the
application of business communication principles through creation of effective business documents
and oral presentations. The course includes study and application of team communication and use of
technology to facilitate the communication process.
Learning Objectives:
To understand and demonstrate writing and speaking processes through proper presentation.
To understand the importance of specifying audience and purpose and to select appropriate
communication choices.
To understand and appropriately apply modes of expression, i.e., descriptive, narrative,
scientific, and self-expressive, in written, visual, and oral communication.
To participate effectively in groups with emphasis on listening, critical and reflective
thinking, and responding.
To develop the ability to research and write a documented paper and/or to give an oral
presentation.
Learning Outcomes: Upon successful completion of this course, the student should be able to:
CLO 1 Apply business communication strategies and principles to prepare effective communication
for business situations.
CLO2 Identify ethical, legal, cultural, and global issues affecting business communication.
CLO 3 Distinguish in team activities that lead to the development of collaborative work skills.
CLO 4 Choose appropriate organizational formats and channels used in developing and presenting
business messages.
CLO 5 Propose an effective oral business presentation.
Pedagogy: This course uses multiple pedagogies like interactive lecture, problems and case based
problems
Unit –I: Basic Principles and Nature of Business Communication 5 Hrs
Introduction, Understanding Communication, the Communication Process, Barriers to
Communication, the Importance of Communication in the Workplace. Types of Business
Communication, Communication Network in Organizations.
Unit –II: Types and Channels of Communication 5 Hrs
Introduction, Types of Communication, Written and oral communication. Classification of
Communication Channels.
Unit - III: The Importance of Listening in the Workplace 5 Hrs
Introduction, what is listening? Barriers to Listening, Strategies for Effective Listening, Listening
in a Business Context.
Unit - IV: Reading Skills for Effective Business Communication: 5 Hrs
Introduction, what is reading? Types of reading, SQ3R Technique of Reading.
Unit –V: Internal Business Communication 5 Hrs
Introduction, Types of Meetings, Before the Meeting, During the Meeting, After the Meeting, and
Common Mistakes made at Meetings. Written communication for official purposes.
Unit – VI: Employment Communication – Resumes and Cover Letters: 5 Hrs
Introduction, writing a Resume, Writing Job Application Letters, Other Letters about Employment,
Group Discussions and Interviews: Introduction, What is a Group Discussion? Attending Job
Interviews.
Essential reading: Hertha, M (2019). Effective Business Communication. McGraw Hill Education India
Books for Reference: 1. Raymond, L (2018). Business Communication: Connecting in a Digital World (Sie) -
Connecting in a Digital World. McGraw Hill Education India
2. Meenakshi. R, Singh. P(2018). Business Communication. Oxford Higher Education
SYLLABUS FOR SEMESTER II
Course Name: Organizational Behaviour Course Code: BBA231
Total number of hours: 60 Hours Credits: 4
Course Description: The course focuses on the basic elements that determine human behavior in
an organizational context. It provides various theoretical frameworks to understand human
behaviours at individual, group and organization level. The course provides insights into the
foundation of human behaviours such as personality, learning, values, attitudes and perception. At
the group level its characteristics in terms of size, status, norms, role and cohesiveness makes it
functional or dysfunctional. Leaders who are able to influence the individual and group behaviours
create positive organisations culture. Thus it is essential for manager to develop an understanding
about human behaviours at the workplace and manage them for organizational effectiveness.
Course Objectives:
1. To examine the impact of globalization, diversity and ethics on organizational behaviours.
2. To analyses the individual’s work behaviours due to personality, attitudes and perceptions.
3. To assess the dynamics of group behaviours and its influence on group effectiveness.
4. To compare and contrast various leadership style as in classic and modern theories.
5. To determine practices that creates positive organisation culture.
Course Learning Outcomes: On having completed this course student should be able to:
CLO1 Identify the social and ethical issues emerging due to trends in environment.
CLO2 Propose initiative to address the social and ethical issues at individual and
organizational level
CLO 3 Demonstrate understanding personality traits and suitable occupation/job.
CLO 4 Identify factors that leads to formation of work related attitude.
CLO5 Suggest practices that create favorable work related attitude
CLO6 Determine the group properties and its implication on group dynamics.
CLO7 Evaluate various leadership styles that enhance group effectiveness.
CLO8 Discuss practices that create positive organizational culture.
Pedagogy: This course uses multiple pedagogies like interactive lectures, classroom discussions &
presentations, case studies, research papers, movie review and role plays.
Unit I Introduction to Organizational Behavior
8 Hours
Definition of Organizational Behavior, OB as systematic study, Contribution from other disciplines,
Challenges and Opportunities in organizational behavior, OB Model/Framework- Individual, Group
and Organisational Level.
Unit II Personality, Learning and Values
10 Hours
Defining and Measuring Personality, Determinants of Personality, The Big Five Personality Model,
Myers-Briggs Type Indicator, and Other Personality Traits like Authoritarianism, Locus of Control,
Machiavellianism, Self Esteem, Risk Taking, Self-Monitoring and Achievement Oriented.
Importance of values- instrumental and terminal values.
Meaning of Learning; Theories of Learning- Classical Conditioning, Operant conditioning,
Cognitive theory, Social learning theory, Principles of learning, Schedule of Reinforcement.
Unit III Attitude
8 Hours
Components of Attitude- ABC model, Function of Attitude, Cognitive Dissonance Changing
Attitude, Work Attitudes- Job Satisfaction and Organisation Commitment.
Unit IV Perception
6 Hours
Meaning, Factors influencing perception, Attribution Theory, Common short cuts in judging others.
Unit V Group Dynamics
8 Hours
Define Group and different type of Groups, Stages of Group Development, Group Properties-Roles,
Norms, Status, Size, Cohesiveness; Group Decision making, Groupthink and Group Shift
Unit VI Leadership
10 Hours
Concept of Leadership-Trait Theories-Behavioral Theories, Ohio & Michigan Studies - Managerial
Grid; Contingency Theory-Situational Leadership and Path & Goal of leadership; Contemporary
Theories- Transformational, Transactional, Charismatic Leadership, Ethical Leadership and Servant
Leadership.
Unit VII Organization Culture
10 Hours
Definition of organizational culture and its characteristics, Strong versus Weak culture, Function
and Dysfunction of Culture, Creating & Sustaining Culture, -How employee learn culture-Creating
Positive organizational culture.
Essential Reading:
● Stephen P. Robbins, Timothy A. Judge and Neharika Vohra (2018), 18th Ed. Organizational
Behaviour. Pearson Education Asia.
Recommended Reading
● Aswathappa, K. (2016). Organizational Behaviour (Text, Cases and Games), 12th Ed.
Bangalore: Himalaya Publication.
● Fred Luthans (2017). Organizational Behavior: An Evidence - Based Approach, 12th Ed. McGraw Hill Education.
● Gupta, C. B. (2014). A textbook of organisational behaviour: With text and cases. New
Delhi: S Chand & Company.
Course Name: Business Statistics Course Code: BBA232
Total number of hours: 60 Hours Credits: 4
Course Description: Business Statistics helps us to make business decisions under
uncertainties. Such decisions must be objective and unbiased and based on quantitative data.
This necessitates an analysis of data as well as understanding of statistical tools and models.
With the business entities keen on making data-driven decisions it is essential for individuals
working in this environment to possess skills to use appropriate statistical tools and
techniques in order to make decisions backed by data.
Course Objectives:
To demonstrate data handling skills and summarize data with clarity.
To extend an understanding of application of relevant concepts of Statistics to a given
context/business scenario.
To demonstrate the knowledge on the process of organizing a problem/data and
conduct statistical tests/treatment.
To solve real world business problems by evaluating data with appropriate statistical
techniques
To explain trends exhibited by data.
Course Learning Outcomes: On having completed this course student should be able to:
CLO 1 Demonstrate data handling skills with clarity.
CLO2 Outline the relevant concepts of Statistics to a given context/business scenario
CLO3 Organize a problem/business data and conduct statistical treatment.
CLO4 Evaluate data with appropriate statistical techniques.
CLO5 Explain data trends using time series analysis
Pedagogy: This course uses multiple pedagogies like interactive lecture, case study
discussions & presentations and by conducting a mini research project
Unit I Introduction to Statistics
6 Hours Meaning, Definition, Features, Importance and limitations of statistics. Meaning and
difference between primary and secondary data, data collection methods. Classification and
tabulation of data including tally marks, methods of classifying data - quantitative,
qualitative, geographical, chronological, Discrete and continuous frequency distribution.
Unit II Measures of Central Tendency
10 Hours
Meaning, measures of Central Tendency- Arithmetic Mean, Weighted Arithmetic Mean,
median, mode, geometric mean and harmonic mean (only theory) and partition values-
quartiles, deciles, percentiles.
Unit III Measures of Dispersion and Skewness
10 Hours Meaning, Definitions, Properties of dispersion - Range, Quartile Deviation, Mean Deviation
from Mean and Median, Standard Deviation and coefficient of variation. Skewness-
meaning, difference between dispersion and skewness, Karl Pearson’s and
Bowley’s measures of skewness.
Unit IV Correlation and Regression
8 Hours Meaning, Definition and Use of Correlation, Scatter diagram, Types of correlation, Karl
Pearson’s correlation coefficient, Spearman’s Rank correlation, Probable Error. Regression-
Meaning and utility of Regression analysis, Comparison between Correlation and
Regression, regression lines –X on Y, Yon X, Regression Equations and Regression
Coefficients.
Unit V Time Series
6 Hours Meaning, Components of time series, Calculation of Secular Trend-Moving Average method
– odd and even period moving average and method of Least Squares.
Unit VI Probability and Probability distributions
8 Hours Introduction to Probability, Basic Concepts of Probability, Probability Distributions –
Binomial, Poisson and Normal distributions, Expected Value.
Unit VII Sampling Distribution and Introduction to Inferential statistics
12 Hours
Introduction to testing of Hypothesis: Procedure for testing hypothesis - Setting of
Hypothesis -Null and alternative hypotheses, Estimation, Computation of Test statistics, -
Types of errors in hypothesis testing - Level of significance - Critical region and value -
Decision making. Test of significance for Large and small sample tests, Z and t tests for
mean and proportion, one-way ANOVA, Chi-square test for goodness of fit and
independence of attributes.
Essential Reading:
Sharma, J.K (2020) Business Statistics 5th edition Delhi: Vikas Publishing House
Recommended Reading:
1. Levin R. I.& Rubin D. S. (2014). Statistics for Management. Delhi: Pearson.
2. Pillai & Bagavathi (2016) Statistics, Theory and Practice, S Chand Publishing
3. SP Gupta (2017).Statistical Methods, Sultan Chand and Sons
4. SC Gupta (2018). Fundamentals of Statistics, Himalaya Publishing House
Course Name: Macroeconomics Course Code: BBA233
Total number of hours: 60 Hours Credits: 4
Course Description: The course aims at providing a systematic introduction to mainstream
approaches to the study of macroeconomics in the current century. It has been designed in
such a way that it stimulates awareness on macroeconomic challenges and policy
management in progressive nations. It also aims at developing the ability for objective
reasoning about macroeconomic issues.
Course Objectives: This course intends to:
● Demonstrate understanding of macroeconomic aggregates and measurement.
● Explain macroeconomic indices and interpreting them.
● Analyse economic growth and money market dynamics and its impact.
● Identify macroeconomic policies and its impact on the economy.
● Demonstrate the understanding of concepts related to Unemployment and market.
● Examine the relationship between macroeconomic variables and dynamics of the
policies.
Course Learning Outcomes: After completing the course, the student will be able to:
CLO1: Explain the measurement of GDP and its components.
CLO2: Explain the methodology/stages of constructing the cost-of-living index and
summarise the impact of such indices on the Economy.
CLO3: Analyse the economic growth and market for loanable funds and illustrate its impact
on the economy.
CLO4: Summarise the concept of unemployment and its implication on the market.
CLO5: Identify the implications of monetary and fiscal policy.
CLO6: Examine the relationship between macroeconomic variables/polices with theoretical
backing.
Pedagogy: This course uses multiple pedagogies like interactive lecture, student discussions
and use of PPTs and case studies.
Unit I Measuring a Nation’s Income and Cost of Living
10 Hours
Economy’s Income and Expenditure - Measurement of GDP - Components of GDP - Real
versus Nominal GDP - The GDP Deflator; The Consumer Price Index (CPI) - Calculation
of CPI - GDP Deflator versus CPI - Correcting economic variables for the effects of inflation
- Real and Nominal Interest Rates - Limitations
Unit II Production and Growth
9 Hours
Economic Growth around the world: Productivity: Its Role and Determinants-Economic
Growth and Public Policy - Investment-Human Capital.
Unit III Goods and Money Market
9 Hours
Saving and Investment in the National Income Accounts - The Market for Loanable Funds -
Policy Changes and Impact on the Loanable fund Market; Money - Meaning and Functions-
Money Supply; Full Reserve Banking and Fractional Reserve Banking - Central Bank Tools
of Monetary Control; Classical Theory of Inflation - Classical Dichotomy and Monetary
Neutrality - Velocity and Quantity equation - Fisher Effect - Costs of Inflation.
Unit IV Unemployment
7 Hours
Identifying Unemployment - Labour Force - Unemployment Rate - Labour Force
Participation - Types of Unemployment - Unemployment Insurance - Minimum Wage Laws.
Unit V Aggregate Demand, Aggregate Supply and Influence of Monetary and Fiscal
Policy on Aggregate Demand
9 Hours
Three Key Facts about Economic Fluctuations - Short run Economic Fluctuations -
Aggregate Demand Curve, Aggregate Supply Curve, Two Causes of Economic Fluctuations;
Monetary Policy Influence on Aggregate Demand - The Theory of Liquidity Preference;
Fiscal Policy influence on Aggregate Demand - The Multiplier Effect - Crowding out effect
- Stabilisation Policy; Active Versus Automatic Stabilizers.
Unit VI Short Run Tradeoff between Inflation and Unemployment
8 Hours The Phillips Curve - Shifts in Phillips Curve and the Role of Expectations - Shifts in Phillips Curve and The Role of Supply Shocks; The Cost of Reducing Inflation Rational Expectations and the Possibility of Costless Disinflation.
Unit VII Six Debates over Macroeconomic Policy
8 Hours
Economic Stabilization - Monetary vs. Fiscal Policy; Handling Recession - Higher Spending
vs. Tax Cuts; Monetary Policy - Rule vs. Discretion Based; Central Bank Goal: Zero vs.
Non-zero Inflation; Government Budget- Balanced vs. Unbalanced; Tax Laws for Savings
– Reformed vs. Not Reformed.
Essential References
Mankiw, G.N. (2018). Principles of Macroeconomics (8th ed.). Cengage Learning India.
Recommended References
Abel, A. B. & Bernanke, B. S. (2011). Macroeconomics (7th ed.). Pearson Education.
Blanchard, O. (2009). Macroeconomics (5th ed.). Pearson Education.
Dornbusch, R., Fischer, S., & Startz, R. (2015). Macroeconomics (11th ed.). McGraw Hill
Education.
Froyen, R. (2014). Macroeconomics: Theories and Policies (10th ed.). Pearson Education.
Mishkin, F. S. (2016). Macroeconomics: Policy & Practice (2nd ed.). Pearson Education.
Course Name: Introduction to Business
Analytics
Course Code : BBA234L
Total number of hours: 60 Hours Credits: 4
Course Description
Information has been the crux for business success. The advancement in computing and information
technology has created the opportunity for businesses to store, organize and analyze vast amounts of
their customer data for decision making. This course introduces database analytics concepts, methods
and tools with concrete examples from industry applications. Students will learn the fundamentals &
advancement of data analytics driven strategies in creating an edge in today’s competitive business
environment. At the same time the course introduces the relatively more recent advancements in
analytical methods on business data acquired through online channels, the new Practice of Web
analytics.
Course Objective:
To understand and articulate a business problem and convert it into a viable Analytics question.
To apply Data visualization for exploratory analysis and communicate effectively to diverse
audience.
To evaluate various analytical approaches and select the most appropriate for the given
problem.
To build Analytics solutions and assess their effectiveness.
Course Learning Outcome: After learning this course the student will be able to:
CLO1 Demonstrate the awareness and Knowledge of Business Analytics
CLO2 Apply the basic concepts of analytics to the business scenarios and extend the knowledge
about future trends in business analytics.
CLO3 Interpret the analytics methodology
CLO4 Assess the relevance and effectiveness of business analytics solutions
CLO5 Utilize the knowledge of technical skills in descriptive and predictive modelling to support
business decision-making
Unit -I: Introduction to Business Analytics. 4 Hrs
Concept of analytics, Types of Analytics, Application fields - Marketing Analytics, Finance Analytics,
HR Analytics, Operation Analytics, organization and source of data, importance of data quality,
dealing with missing or incomplete data, Role of Data Scientist in Business & Society.
Unit -II: Databases, Data Warehousing and Data Mining 6 Hrs
Types of Data Sources- Structured Vs Semi Structured Vs Unstructured data, Data Warehouse Vs
Databases, Relational Database vs Non-Relational Database, RDBMS Data structures, Columnar Data
structures. Data Mining meaning, Association Rules and clustering, Decision trees, Random forests.
Unit -III: Analytics Methodology 8 Hrs
Introduction to Analytics Methodology, preparing objectives & identifying data requirements, Data
Collection, Understanding data, Data preparation – Data Cleansing, Normalization, Data preparation,
Data Blending, Data Modelling, Evaluation & feedback.
Unit IV: Visualization of Data 8Hrs
Introduction, Data summarization methods; Tables, Graphs, Charts, Histograms, Frequency
distributions, Relative Frequency Measures of Central Tendency and Dispersion; Box Plot; Basic
probability concepts, conditional probability, Probability distributions, Continuous and discrete
distributions, sequential decision making.
Unit V: Time Series 12 Hrs
Trend Analysis, Seasonality and cyclical behavior, Moving Average, Exponential smoothing methods
– Single exponential, double exponential, HOLT-WINTERS, ARIMA, Multiple linear regression-
based forecasting.
Unit VI: Predictive Analysis 16 Hrs
Simple linear regression: coefficient of determination, significance tests, residual analysis, confidence,
and prediction intervals. Multiple linear regression: coefficient of multiple coefficients of
determination, interpretation of regression coefficients, categorical variables, heteroscedasticity,
multi-collinearity, outliers, autoregression and transformation of variables.
Unit VII: Business Analytics Future Trends 6Hrs
Role of Artificial Intelligence in Business, Machine Intelligence, Competitive Intelligence, Text
Mining, Web Analytics (Web content mining, Web usage mining, Web structure mining), Role of
Intelligent Agents in e-business, e-commerce, m-commerce, Location Analytics, Intelligent Agent in
search & retrieval, Personalization and Comparison), Social Networking Analysis, Big Data Tools &
Techniques, Content Analytics (Sentimental Analysis & Opinion Analysis). Ethical and Legal
considerations in Business Analytics
Essential Reading
1. Turban E, Armson, JE, Liang, TP &Sharda, R (2007). Decision Support and Business
Intelligence Systems, 8th Edition, John Wiley & Sons
2. Frank J. Ohlhorst, (2012). Big Data Analytics, 1st Edition, Wiley
Recommended Reading:
1. Microsoft Office 2007 Business Intelligence - Reporting, Analysis, and Measurement from
the Desktop, Doug Harts, TATA McGraw-Hill Edition, 2008
2. Nitin R. Patel, Peter C. Bruce (2010). Data Mining for Business Intelligence: Concepts,
Techniques, and Applications in Microsoft Office Excel with XLMiner, Galit Shmuel. Wiley
Publication,
3. Raman, A & Fisher, M (2010). The New Science of Retailing: How Analytics are Transforming
the Supply Chain and Improving Performance, , HBR Book Press.
4. Kaufmann. M (2011) Data Mining Concepts and Techniques Publication, 3rd Edition, Sage
Publication.
Course Name: Overview of Global Financial
Markets and Investment Banking
Course Code: BBA212L
Total number of hours: 45
Credits: No credits
Course Description
This course is focused on the competitive dynamics and performance of the Global Financial Markets
and Investment Banking. With an emphasis on industry and financial market developments the
course addresses organizational strategy, capital market products and market developments. It also
looks at the risks and opportunities of doing business in today’s financial markets and the challenges
presented by both regulators and market participants. Throughout the course, relevant current events
are examined and used to illustrate and reinforce discussion points
Course Objectives
To understand the concepts of Global Financial Markets and Investment Banking
To familiarize various instruments of financial markets
To realize the role of partakers in Forex market
To acquaint fundamentals guiding the forex and capital market
To evaluate the role of investment bankers in the economy
Course Learning Outcomes: On having completed this course student should be able to:
CLO1 – Demonstrate the structure and methods of Financial and Capital markets from a global
perspective
CLO2 - Categorize various instruments such as forwards, swaps, options, futures and spot transaction
CLO3 – Interpret the participants in Forex market and their role
CLO4 – Illustrate the knowledge on theories governing Foreign exchange
CLO5– Discover the use of derivatives to hedge Foreign exchange risk
Pedagogy: This course uses multiple pedagogies like interactive lecture, case based problems
Unit - I: Overview of Financial Markets and Assets Classes in Investment Banking 3 Hrs
Cash and Money Markets, Bond markets, Foreign Exchange Markets, Equities Markets, Indices and
Stocks, Derivatives Markets, Products and Settlement, Commodities Markets and Products, Saving
and Investment Products, Mutual Fund and other Investment Products
Unit- II: Global Equities Markets and Instruments 12 Hrs
Introduction to Equity Market, Introduction to Capital Markets, Equity Capital Markets, Raising
Equity Through IPO, Raising Equity Through Private Sources, Equity buybacks, de-listing and
reversion to a ‘private’ company, Equity Instruments & their characteristics, Stock Prices and
Corporate Actions, Preference Shares, Depository Receipts, Rights Issues & Warrants, Convertibles,
Equity Structured Products, Participants in the Equity Markets, Introduction and Role of the Buy
Side, Buy Side Participants, Introduction and Role of Sell Side, Services and Participants in the Sell
Side, Market Makers, Types of Equity Markets Exchanges and Indices in the Equity Markets, Indices
and their roles, Understand the difference between exchange and OTC markets, Types of weighted
index, other indices and global indices, Electronic and Hybrid Markets and Order and Quote Driven
Markets, Global Equity Markets, Trading of Equity Instruments, Equity Investments and its benefits
and risks, Stock Quotations, Delivery or cash trading, Long and short positions, Leverage and
Margin, Investing, trading and hedging, Placing Orders-limit orders, stop loss orders and GTD/GTC
orders
Unit -III: Global Foreign Exchange Markets and Instruments 9 Hrs
Introduction to Forex Market, What is foreign exchange market, Functions and purposes of the FX
market, Introduction to types of Foreign Exchange Market, Participants in the foreign exchange
market, Consumers & Travelers, Businesses, Investors & speculators, Commercial & Investment
Banks, Government & Central Banks, Theories governing foreign exchange, Interest rate parity,
Purchasing power parity, Nominal v/s real exchange rates, etc, Spot Market, Market organization,
Quotation conventions, Direct and indirect prices, Cross rates, Value of a pip, Interpreting news and
economic statistics, Delivery and operations, Forward Forex Market, Outright forward and swap
deals, Relation between spot & forward markets, Quoting forward rates, Quoting swap points,
Forward discounts and premiums, Forward transactions
Unit - IV: Global Fixed Income (Bond) Markets and Instruments 6 Hrs Overview of Debt Capital Markets, Characteristics of Debt Capital Markets, The differences between
equity and debt products, The differences between loans and bonds, Hybrid securities, Securitization,
Bond-An Introduction, Bond definition, Bond Issuer & Bond Investor, Types of bond, Bond
characteristics, Zero Coupon Bond, Price/yield relationship, Government bond markets,The
Eurobond market
Unit -V: Global Money Markets and Instruments 6 Hrs
Overview to Money Markets, Objectives, Introduction to Money Markets, Components of Money
Markets, Interest rates in the Money Markets, Market Participants in Money Market, Risks involved,
Money Markets Instruments, Introduction, Coupon bearing instruments& features, Discount
instruments & features, Money Market Operation, Fund Management, CRR Maintenance, Liquidity
Management, Money Market Operations, Managing banks' surplus funds, Trading opportunities in
Money market, Overnight Call Money Market, Repos and Reverse Repos, CBLOs, Marginal
Standing Facilities
Unit -VI: Global Funds 9 Hrs
Potential advantages and disadvantages of collective investment, Difference between active and
passive management, Open-Ended/Mutual Funds, Characteristics and different types of open-ended
fund / mutual fund:US, Europe, Purpose and principal features of the Undertakings for Collective
Investment in Transferable Securities (UCITS) directive in European markets Closed-Ended
Investment Companies, Characteristics of closed-ended investment companies, share classes,
Meaning of the discounts and premiums in relation to the pricing of closed-ended investment
companies, How closed-ended investment companies’ shares are traded.
Essential Reading
Saunders, A & Cornett, A (2020). Financial Markets and Institutions,7th Edition, McGraw Hill
Course Name : Basic R Programming for Analytics Course Code: BBA213L
Total number of hours: 30 Credits: 2
Course Description This course is used to provide an Introduction to R programming language that combines standard
programming capabilities with statistical analysis. The course also gives students the ability to do
data analysis and statistical computing. The course also covers basic data types and operations,
functions and packages, charts and graphs. The course also covers elementary statistics.
Course Objective: To analyze data using the statistical tool R.
To create vectors, lists, matrices, arrays and data frames using R.
To draw charts and graphs using R.
Learning Outcome
CLO1 Analyze data using the statistical tool R.
CLO2 Create vectors, lists, matrices, arrays and data frames using R.
CLO3 Draw charts and graphs using R.
Unit- 1: Introduction 6 Hrs Features of R – How to install and run R – Comments in R – Reserved words – Identifiers – Constants
– Variables – Operators (Arithmetic, Relational, Logical, Assignment, Miscellaneous Operators) –
Operator Precedence – Strings.
Unit- 2: Basic Data Types, Vectors, Lists and Matrices 6 Hrs Basic Data Types (Numeric, Integer, Complex, Logical, Character) – Creating, combining vectors –
Accessing Vector Elements – Modifying Vectors – Deleting Vectors- Vector arithmetic and
Recycling – Vector Element Sorting – Reading Vectors – Creating Lists –Accessing List elements –
Updating List Elements –Merging Lists – List to Vector conversion – Creating matrices – Accessing
Matrix Elements – Matrix Arithmetic – Matrix Manipulation – Matrix Operations.
Unit -3: Arrays, Factors and Data Frames 6 Hrs Creating Arrays – Accessing Array Elements – Array Element Manipulation – Array Arithmetic –
Creating factors – Accessing Factor Components – Modifying factors – Creating Data Frames –
Accessing Data Frames Components – Modifying Data Frames –Aggregating Data – Sorting Data –
Merging Data – Reshaping data – Sub-setting data – Data Type Conversion
Unit- 4: Flow Control & Functions 6 Hrs Decision making (using if statement - if…else statement - Nested If…Else statement - if else
function - Switch statement) – Loops (for loop – while Loop – repeat Loop) – Loop Control
statements – break statement – next statement – Function definition and Function Calling – Function
without arguments – Built-in functions (Mathematical functions – Character functions – statistical
functions – date and time functions – other functions – Recursive function)
Unit-5: Charts & Graphs 6 Hrs Bar charts (Plotting bars vertically and horizontally – Plotting categorical data – Grouped bar chart
– Stacked bar chart) – Histogram (Simple histogram – Histogram with labels, breaks and density
lines) – Line graphs (Simple line graph & Graphs with Multiple lines) – Pie charts (Simple Pie chart
–Pie chart with slice percentages – 3D Pie charts)
Essential Reading: 1. W. N. Venables, D. M. Smith, An Introduction to R, R Core Team, 2018.
2. John Verzani, simpleR – Using R for Introductory Statistics, CRC Press, Taylor & Francis
Group, 2005.
Recommended Reading: 1. Beginner’s guide for Data Analysis using R Programming by Dr. Jeeva Jose.
Course Name: Design Thinking Course Code: BBA261LA
Total number of hours: 30 Credits: 2
Course Description: Design thinking is a structured methodology used by professionals to develop
and deliver products, services and experiences that address unsaid human needs. It is a structured
approach that uses empathy and innovative thinking to solve critical business/social problems and
deliver products and services that are desired by customers. Design thinking is about approaching
things differently with a strong user orientation and participation from multidisciplinary teams to
address complex issues. This course is intended to give the students a basic conceptual understanding
about design thinking and the use of design thinking to address and suggest possible solutions to
complex problems
Course Objectives
To identify different creativity and design processes and use it to generate better ideas in a
variety of business settings
To distinguish tools to help validate ideas to improve the chances for impact
To demonstrate as to how creativity and design thinking help businesses to solve complex
problem
To develop their individual and collaborative capabilities to identify social
problems/issues/needs and suggest suitable solutions.
Course Learning Outcomes: On having completed this course student should be able to:
CLO1 Analyse different creativity and design processes and use it to generate better ideas in a variety
of business settings.
CLO2 Utilize a variety of tools to help validate ideas to improve the chances for impact
CLO3 Demonstrate as to how creativity and design thinking help businesses to solve complex
problems
CLO4 Develop their individual and collaborative capabilities to identify social
problems/issues/needs and suggest suitable solutions.
Pedagogy: This course uses multiple pedagogies like interactive lecture, case based problems and
experiential learning activities
Unit- I: Introduction to Design Thinking 6Hrs Background, Definition of Design Thinking, Business uses of Design Thinking, Variety within the
Design Thinking Discipline, Design Thinking Mindset.
Unit- II: Design Thinking Process 6Hrs
Integration process, Design thinking modes, linear or non-linear process, design patterns
Unit- III: Design Thinking in Practice 6Hrs
Process Stages of Designing for Growth: What Is, What If, What Wows, What Works.
Unit- IV: Design Thinking Tools and Methods 6Hrs
Purposeful Use of Tools and Alignment with Process: What Is: Visualization, What Is: Journey
Mapping, What Is: Value Chain Analysis, What Is: Mind Mapping, What If: Brainstorming, What
If: Concept Development, What Wows: Assumption Testing, What Wows: Rapid Prototyping, What
Works: Customer Co-Creation, What Works: Learning Launch, Design Thinking Application,
Design Thinking Applied to Product Development
Unit-V: Enabling Design Thinking in Teams 6Hrs
Components of common ground in teams, Design Thinking for Social Innovation
Essential Reading:
Tim Brown, (2009). Change by Design: How Design Thinking Transforms Organizations and
Inspires Innovation. 1st Edition, Harper Business.
Liedtka, J & Ogilvie, T (2011). Designing for Growth: A Design Thinking Tool Kit for Managers.
Columbia University Press
Reference:
1. Brown, T. (2008). Design thinking. Harvard Business Review, 86(6), 84.
2. Liedtka, J & Ogilvie, T, & Brozenske, R(2014). The Designing for Growth Field Book: A
Step-by-Step Project Guide. Columbia University Press
3. Cross, N (2011). Design Thinking: Understanding How Designers Think and Work
Bloomsbury Academic.
4. Martin, R., & Martin, R. L. (2009). The Design of Business: Why design Thinking is the
Next Competitive Advantage. Harvard Business Press.
Course Name: Intellectual Property
Management
Course Code: BBA261LB
Total number of hours: 30 Credits: 2
Course Description: The course aims at providing basic legal as well as managerial insights into the
management of IP portfolios in corporate settings. Acquiring knowledge of IP and dealing with their
commercial exploitation and complying with legal requirements, will be the major focus of the
course. Understanding Legal protection of IP both at National level and international level are very
essential for Managers and preparing strategies for their IP based goods and services.
Course Objectives
To enable students to manage IP portfolios
To develop strategies for deploying IP in markets
To train students in dealing with legal formalities for IP protection in India
To be able to file for IP Registration and participate in opposition proceedings
To be able to draft IP licensing agreements for commercial exploitation
Course Learning Outcomes: On having completed this course student should be able to:
CLO 1 Analyse the managing of IP portfolios
CLO 2 Develop strategies for deploying IP in markets
CLO 3 Appraise students in dealing with legal formalities for IP protection in India
CLO 4 Choose file for IP Registration and participate in opposition proceedings
CLO 5 Interpret IP licensing agreements for commercial exploitation
Pedagogy: This course uses multiple pedagogies like interactive lecture, case based problems and
experiential learning activities
Unit I: Introduction to Intellectual Property 5 Hrs
Idea of Intellectual Property- Historical development – Innovations - Introduction to IP Management
– need and necessity – Economic considerations of IP- Theories of IP- Benefits of IP– Importance
of IP in marketing Goods and services –
Unit II: Types of Intellectual property rights 7 Hrs
Kinds of IP – Patents, Copyright, Trademarks, ICs lay-out, Industrial designs, Plant varieties,
Database, Business methods - Legal Protection of IP – Application and Registration of IP – Rights
and Obligations of IP Holder - Remedies for violation of IP rights – Enforcement of IP – Dealing
with piracy and infringement
Unit III: Strategies for Usage of Intellectual Property Rights 10Hrs Making strategy for deploying IPs in market – Strategy for National Market – Strategy for
international Market – Cross licensing – Bracketing - Royalty and Tax aspect – Use of academic
institutions research for developing IP- Lending Trademarks – Breeders Rights
Unit IV: Intellectual Property Registration 8 Hrs Drafting applications for IP Registration – Patents, Trademarks, Copyright and Industrial Designs –
Making and scrutinizing License agreements- Online applications – Participation in opposition
proceedings – Specified case laws of IPAB- Visit to PTO – Case study of IP portfolio of specified
companies.
References
Cornish, Intellectual Property Rights
A K Ahuja , Intellectual Property Rights , Vol.1 & 2
Howard B Rockman, Intellectual Property for Engineers and Scientists
Michael J Gollin, Driving Innovation: Intellectual Property Strategies for a Dynamic World
Michael A Carrier, Innovation for the 21st century: harnessing the power of intellectual
property and antitrust law
Patent Act, 1971
Copyright Act, 1957
Trademarks Act, 2000
Kadry, Abdelkhalak El Hami, Innovations in E-Systems for Business and Commerce
Anshu Saxena, Global Business Value Innovations
Steven Johnson, Where Good Ideas Come From: The Natural History of Innovation
HBR Articles on IP
PTC Journal (1981-2021)