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
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

Exploratory data Analysis with R

Databases and Datawarehousing

Opreations research

Predictive Analytics with R

Python for Managers

Foundations of Finance

Human Resource Management

Macro Economices and Policy

Data Visulaization

Emerging IT Technologies

Management Information System

Business Research methods

Strategic Management

Business Law

Advanced Statistics

Advanced Opreations Research

ML & AI Foundations

Opreations 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

Introduction to Cloud Computing
Time series analysis
Analytical System Dynamics: Modelling and Simulation
Marketing Analytics
Natural Language Processing
Business Storytelling using Data

Financial Time Series Analysis and Risk Management Using R
Machine Learning with Python
Business Models for Digital Platforms
Managing Digital Transformation
Retail Analytics

 

Financial Modeling
Fundamentals of Blockchain
Deep Learning and Neural Networks
Social Network Analysis and Social Media Analytics
Multiple Criteria and Multi Objectives Decision Making
Data-Driven Operating System in Marketing