Program Structure
PGP BA & DS Program Structure*
Pre-Trimester Module (2 weeks – 100 hrs)
| Sr. No. | Course |
|---|---|
| 1 | Foundations of Management (20 hrs) |
| 2 | Basics of Financial Accounting(10 hrs) |
| 3 | Analytics in Business (16 hrs) |
| 4 | Future Skills & Emerging Technologies (8 hrs) |
| 5 | Industry 4.0 (16 hrs) |
| 6 | Overview of IT and IS (10 hrs) |
| 7 | Case Study discussions (20 hrs) |
| Course Title | Credits |
|---|---|
| Business Statistics | 3 |
| Advanced Excel | 2 |
| Java Programming | 2 |
| Analytics using R | 3 |
| Database Concepts & SQL | 3 |
| Design Thinking for Innovation | 3 |
| Applied Descriptive & Inferential Analytics | 3 |
| Business Economics | 2 |
| unctions of Business Management (Marketing, HR, Finance, LSCM, Strategy) | 5 |
| Digital Transformation | 3 |
| Total | 30 |
| Course Title | Credits |
|---|---|
| Advanced Statistics | 3 |
| Advanced Optimization Techniques | 3 |
| Introduction to Python | 2 |
| DW, DM & BI | 3 |
| NoSQL using MongoDB | 3 |
| Introduction to AI | 3 |
| Spreadsheet Modeling & Simulation | 2 |
| Multivariate Analysis & Generalized Linear Model | 3 |
| Data visualization(using Tableau) | 2 |
| Marketing & Sales Analytics | 2 |
| Financial Analytics | 2 |
| SCM & Operations Analytics | 2 |
| Capstone Project – I | 3 |
| Total | 30 |
| Course Title | Credits |
|---|---|
| Forecasting Techniques | 3 |
| Emerging Technologies | 2 |
| Cloud Computing | 2 |
| Analytics using Python | 2 |
| Big Data Technologies | 4 |
| ML, DS & Analytics using R/Python | 3 |
| Applied AI with NLP | 3 |
| Predictive & Prescriptive Analytics | 2 |
| IS Security & Risk Analytics | 2 |
| IoT Analytics | 2 |
| Data-driven Story telling(using Tableau) | 2 |
| Social Media Analytics | 2 |
| HR Analytics | 1 |
| Capstone Project – II | 3 |
| Total | 30 |
| Course Title | Credits |
|---|---|
| Soft Skills – 1 | 3 |
| Soft Skills – 2 | 3 |
| Industry Engagement | |
| Total | 6 |
*Subject to revision