Programme Structure

The two-year MBA (Analytics) programme is full-time residential programme.  The first-year coursework is spread over three terms comprising of core courses that explain the fundamental concepts of management and analytics across the functional areas. All the courses in the first year are mandatory courses. The first year coursework is followed by a  summer internship during which students are required to work on an industry project with an organization for a period of 7-10 weeks.

The second-year coursework is spread over the next three terms (IV, V and VI). The coursework comprises of mandatory analytics courses and dissertation courses along with elective courses. The dissertation component is spread over three terms and is intended to help students find their areas of interest and apply their knowledge in defining and solving a research problem. This will equip students with research capability which is one of the requirements in the business arena. Proper amalgamation of knowledge, practicality and skill development is the need of the hour and the curriculum is designed to mould students into the leaders in data science and analytics.

First-Year Courses

Term I

Analytics Core

  • Business Statistics
  • Mathematical Foundations

Management Core

  • Organizational Behavior
  • Financial Accounting
  • Financial Markets
  • Microeconomics
  • Marketing Management I
  • Workshop- Written and Oral Communication

Term II

Analytics Core

  • Decision Modelling
  • Management Information Systems
  • Business Computing I
  • Introduction to Business Analytics

Management Core

  • Corporate Finance
  • Marketing Management II
  • Operations and Supply Chain Management
  • Legal Aspects of Business

Term III

Analytics Core

  • Business Computing II
  • Seminar on Research Methods
  • Data Visualization
  • Data Management & Big Data

Management Core

  • People Management in Organizations
  • Strategic Management

Second Year Courses

Term IV

Analytics Core

  • Applied Econometrics for Managers
  • Data Science and Machine Learning
  • Social Media and Web Analytics

Dissertation - Part A

Electives Courses

Term V

Analytics Core

  • Natural Language Processing
  • AI & Deep Learning
  • Advanced Data Analysis

Dissertation - Part B

Elective Courses

Term VI

Dissertation - Final

Elective Courses


Elective Courses Offered to MBA (Analytics) Students (Area wise)


  • Analytics using Infographics & Advanced Visualization techniques
  • Explainable AI
  • Feature Engineering
  • Healthcare Analytics & Strategy
  • Sport Analytics
  • Tourism Analytics & its applications


  • Content Development Strategy for Social Media Campaigns
  • Corporate Communication and Crisis Management
  • Media and Entertainment Business Management
  • Movies for Management


  • Advanced Monetary Economics
  • Analytics for Business of International Trade
  • Applied Time Series Econometrics
  • Behavioral Economics for Decisions
  • Causal Machine Learning
  • Food-Tech and Ag-Tech Entrepreneurship
  • Growth, Development, and Indian Economy

Finance & Accounting

  • Behavioral Finance
  • Business Valuation
  • Commercial Bank Management
  • Digital Finance
  • Entrepreneurial Financial Management
  • Financial Analytics 
  • Financial Derivatives
  • Financial Econometrics
  • Financial Risk Measurement and Management 
  • Financial Statement Analysis and Forensic Accounting
  • Fixed Income Markets
  • Investment Management
  • Mergers and Acquisitions
  • Private Equity and Investment Banking
  • Trading Strategies 

Information Technology and Systems

  • Advanced AI Using Reinforcement Learning
  • AI Applications
  • Artificial Intelligence in Cloud
  • Automated Data Collection
  • E-Commerce
  • Enterprise Resource Planning
  • Image Analytics
  • Information and Network Security
  • IT Consulting
  • IT Product Management 
  • IT Project Management
  • ML Applications with Spark
  • Robotics Process Automation


  • Advanced Media Marketing
  • Applications of Design Thinking
  • Bootstrap Marketing
  • Business to Business Marketing
  • Consumer Behavior
  • Digital Marketing
  • Marketing Analytics
  • Marketing Strategy
  • Pricing Management
  • Product and Brand Management
  • Retail Management
  • Sales and Distribution Management
  • Services Management

Operations Management & Decision Sciences

  • Advanced Managerial Decision Analysis
  • Causal Machine Learning
  • Decision making using R : A case study approach
  • Enterprise Resource Planning
  • Fuzzy Sets and Fuzzy Logic in Decision-Making
  • Industry 4.0 - Transforming Business Operations
  • Logistics Management
  • Multivariate data analysis
  • Operations and Technology Management 
  • Operations Strategy
  • Project Management
  • Quality Management & Six Sigma
  • Services Management
  • Strategic Sourcing Management
  • Supply Chain Analytics

Organizational Behaviour & Human Resource

  • Conflict & Negotiation Management
  • Cross-cultural leadership
  • Diversity and Inclusion at Workplace
  • Employment Relations and Labour Laws - The Changing World of Work and the Future Manager - concept and Strategies
  • Fostering Performance in Digital Workplaces
  • HR Analytics
  • HR Analytics
  • Leading New Age Innovation for Corporate Creativity
  • Managing Organizational Change in a Disruptive World
  • Performance Management and Appraisal in the New World of Work
  • Power and Politics and Organization
  • Talent and Competency Management
  • Talent Management for Organizational Excellence 


  • International Business
  • Management Consulting
  • Mergers and Acquisitions
  • Strategies for Emerging Markets (SEM)