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Curriculum

MBA BA Program Design and Curriculum

MBA Business Analytics program is aimed at developing professionals who will be able to manage all functions and levels of businesses using their analytical and managerial knowledge and skills.

The main skills considered in the design of course curriculum is summarized in the table below:

Business Analytics Skills
Conceptual Methods Tools
  • Courses such as Business Computing,
  • Statistics, Optimization,
  • Predictive Analytics
  • Database systems Data mining,
  • Data visualization,
  • Natural Language Processing,
  • Machine learning
  • SPSS
  • R
  • Python
  • Tableau Excel
Management Skills
Functional Integrative Others
  • Management Accounting
  • Financial Management
  • Operations Management
  • OB & HR Marketing Management
  • Managerial Economics
  • Strategic Management
  • Design Thinking
  • Business Law Ethics,
  • Privacy,
  • Data Security
Industry Specific Skills
Industries covered Functional Analytics
  • Banking & Finance
  • Insurance
  • Healthcare Retail Services
    (will be covered through Business Analytics Elective &
    Open Electives
  • HR Analytics
  • SCM Analytics
  • Marketing Analytics
  • Financial Analytics
First Year of the program
  • Preparatory program: The Institute offers a 2-week compulsory preparatory program for selected students to enhance their readiness for the MBA BA program.
  • Orientation program: The orientation program familiarizes students with the IIM way of learning and acquaints them with the infrastructure, services, and student activities at IIM Amritsar.
  • First-Year Courses: The first-year courses are compulsory and provide basic conceptual knowledge and analytical tools in different functional areas of management.
  • Summer Internship: All students undergo eight to ten weeks of summer internship after the program's first year. Summer internship helps students to apply their first-year learning by doing organizationally sponsored projects. Student performance in their summer internships often results in final placement offers.
List of First Year Courses
Term I Term II Term III
Business Statistics
Business Computing 
Marketing Management
Essentials of Business Communication
Managerial Economics
Managerial Accounting
Managing people & organizations
Data Mining with R		 Databases & Datawarehousing
Operations Research
Predictive Analytics with R
Python for Managers
Foundations of Finance
Human Resource Management
Macro Economics & Policy
Data Visualization 		 Emerging IT Technologies
Management Information Systems
Business Research Methods
Strategic Management
Business Law
Applied Multivariate Analysis
ML & AI Foundations
Corporate Finance
Operations Management
Second Year of the program

Second-year MBA BA comprises core courses in data analytics and the electives in Business Analytics spread across fourth, fifth and sixth term of the program.

Students can also choose elective courses from among area specializations like Marketing, Finance & Accounting, Information Systems & Analytics, Production & Quantitative Methods, Business Strategy, Economics, and Communication.

Additionally, students will also be required to go through a compulsory Capstone Project in the second year under the guidance of Institute faculty.

List of Second Year Courses
Term IV Term V Term VI
Natural Language Processing
Time series analysis		 Advanced Operations Research
Data Privacy and Ethics		 Big Data Analytics

 

Apart from this the students can choose electives from elective courses from among area specializations like Marketing, Finance & Accounting, Information Systems & Analytics, Production & Quantitative Methods, Business Strategy, Economics, and Communication.

 

 

Term IV Term V Term VI
Investment Analysis & Portfolio Management
Options, Futures, and other Derivatives
Corporate Valuation
Commercial Bank Management
Python for Managers
Introduction to Cloud Computing
Service Operations Management
Supply Chain Management
Data Mining with R
Analytical System Dynamics: Modelling and Simulation
Time series analysis
Game Theory and Strategy
Retail Management Strategy
Services Marketing
Customer Relationship Management
Consumer Behaviour
Marketing Analytics
Business Storytelling using Data
HRM during corporate restructuring
Competency Mapping and Managing Talent
Compensation and Rewards Management
Career Management		 International Business 
Capstone Simulation
Entrepreneurship and New Venture Management
Fixed Income Securities
Financial Aspects of Mergers and Acquisitions
Alternative Investments
Financial Risk Management and Measurement
Financial Time Series Analysis and Risk Management Using R
Machine Learning with Python
Visual Analytics
Business Models for Digital Platforms
Managing Digital Transformation
Predictive Analytics with R
Six sigma and Lean Systems
Warehousing & Logistics Management
Retail Analytics
Bayesian Statistics
Econometrics
Behavioral Economics
Integrated Marketing Communications
Digital Marketing
Business to Business Marketing
Strategic and Financial Communication
Sales and Distribution Management
Leadership and decision making for managers
HR Metrics and Dashboarding
Employer Branding		 Strategic Consulting
Design Thinking & Innovation
Financial Modeling
Behavioral Finance
Investment Banking
Financial Technology
Foundations of AI and ML
Big Data Analytics
Fundamentals of Blockchain
Deep Learning and Neural Networks
Social Network Analysis and Social Media Analytics
Operational Resilience and Risk Management
Multiple Criteria and Multi Objectives Decision Making
Project Management
Rural & Inclusive Marketing
Brand Management
Product Management
Strategic Marketing
Data-Driven Operating System in Marketing
Organization Change and Development
Negotiation and conflict resolution
The Science of Happiness
Coaching and Mentoring