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

  • Analytics using Infographics & Advanced Visualization Techniques
  • Applied Business Analytics Stack
  • Healthcare Analytics
  • Sports Analytics

Finance & Accounting

  • Business Valuation
  • Financial Derivatives
  • Investment Management
  • Financial Econometrics
  • Financial Risk Measurement and Management
  • Financial Analytics
  • Financial Statement Analysis and Forensic Accounting
  • Mergers & Acquisitions

Operations Management & Decision Sciences

  • Multivariate Data Analysis
  • Logistics Management
  • Quality Management and Six Sigma
  • Supply Chain Analytics
  • Fuzzy logic for Decision Making
  • Nature inspired techniques for decision making
  • Project Management
  • Strategic Sourcing Management
  • Advanced Managerial Decision Analysis
  • Operations Strategy
  • Services Management – Integrating Marketing and Operations Management Perspectives

Organizational Behaviour & Human Resource

  • Leading Innovation in the Age of Digital Disruption
  • Managing Organizational Change
  • Diversity and Inclusion at Workplace
  • Fostering Performance in Digital Workplaces
  • HR Analytics
  • Negotiation and Conflict Management

Strategy

  • Strategies for Emerging Markets
  • Management Consulting
  • International Business

Information Technology and Systems

  • Automated Data Collection
  • Image Analytics
  • Robotics Process Automation
  • Enterprise Resource Planning Systems
  • Information Technology Project Management
  • AI Applications
  • Artificial Intelligence in Cloud
  • Introduction to Computer Vision
  • ML Applications with Spark
  • Advanced AI Using Reinforcement Learning
  • Information Technology Product Management

Marketing

  • Consumer Behaviour
  • Advanced Media Marketing
  • Sales and Distribution Management
  • Digital Marketing
  • Marketing Analytics
  • Product and Brand Management
  • Pricing Management
  • Retail Management
  • Marketing Strategy

Communications

  • Media and Entertainment Business Management
  • Movies for Management

Economics

  • Spatial Data Science
  • Analytics of Public Policy