Curriculum

The comprehensive CBA curriculum provides a framework through which participants learn to enhance their management skills, expand their knowledge of Business Analytics, and gain a strategic perspective of the industry. The programme’s courses and the final project are designed around the real-world integration of business disciplines. Apart from these courses, there are preparatory courses which will have to be completed before the programme begins.

Curriculum Details* Subject to minor changes

  • Software tools in the Programme:
    R, MySQL, Python, @Risk, Tableau, XLMiner, MeXL, Hadoop Technologies

Pre-Term

1) Introduction to Python and Databases
2) Probability and Statistics using R 
 

Term 1
1) Big Data Management
2) Business Fundamentals
3) Data Collection
4) Data Visualization
5) Statistical Analysis 1
6) Text Analytics
Term 2
1) Data Mining1: Unsupervised Learning
2) Forecasting Analytics
3) Optimization
4) Statistical Analysis 2: Regression Modeling
5) Simulation
6) Big Data Management 2
Term 3
1) Data Mining 2: Supervised Learning
2) Deep learning & IOT
3) Financial Analytics
4) Marketing Analytics
5) Pricing Analytics
6) Retail & Supply Chain Analytics
7) Social Media and Web Analytics
8) Statistical Analysis 3
 
 
Capstone Project
SAS Foundation Modules
1) SAS E-Learning Programming (self-paced and e-learning)
2) SAS STAT E-Learning (self-paced and e-learning)