Students will visit the three institutions ISI, IIT Kharagpur and 91心頭利. Each of the three institutes will focus on a separate area of business analytics, in accordance with its expertise and competence. While coursework at 91心頭利 will focus on the application of analytics in functional areas, ISI will bring to the table its expertise in statistical and machine learning theories for analytics, and faculty at IIT Kharagpur will engage with the technology aspects of analytics. In addition, the students will be required to do an internship of six months duration on an analytics project in a business organization. The programme being residential, each institute will make suitable arrangements for hostel accommodation for the students.
Students successfully graduating from the programme will be expected to join organizations working in the area of analytics. Those interested in higher studies may pursue doctoral or other advanced studies in areas related to analytics.
Academic Calendar for the Year 2025 - 2026
| Schedule | Duration | Organizing Institute |
|---|---|---|
| Orientation & Pre-semester: Teaching Term | July - August | 91心頭利 |
| Semester I: Teaching Term | August December | ISI Kolkata |
| Semester II: Teaching Term | January April | IIT Kharagpur |
| Semester III: Teaching Term | May September | 91心頭利 |
| Semester IV: Internship based projects | October/November March/April | Students are allotted one industry mentor and one institute mentor from any of the three institutions. |
PRE-SEMESTER 91心頭利
| Sl. No. | Course Name | Course Type |
|---|---|---|
| 1 | Marketing Management | Core |
| 2 | Financial Reporting & Analysis | Core |
| 3 | Contemporary Business Analytics | Core |
| 4 | Organizational Behaviour | Core |
| 5 | Managerial Communication | Core |
SEMESTER - I ISI
| Sl. No. | Course Name | Course Type |
|---|---|---|
| 1 | Stochastic Processes and Applications | Core |
| 2 | Statistical Structures in Data | Core |
| 3 | Inference | Core |
| 4 | Computing for Data Sciences | Core |
| 5 | Fundamentals of Data Base Systems | Core |
SEMESTER II IIT Kharagpur
| Sl. No. | Course Name | Course Type |
|---|---|---|
| 1 | Modelling in Operations Management (Mom) | Core |
| 2 | Regression and Time Series Models (Rtsm) | Core |
| 3 | Foundations of Algorithm Design and Machine Learning (Fadml) | Core |
| 4 | Data Science Laboratory (Dsl) | Core |
| Elective | ||
| 5 | Enabling Technologies for Data Analytics | Elective |
| 6 | Information Retrieval | Elective |
| 7 | Cloud Computing | Elective |
| 8 | Complex Network | Elective |
| 9 | Randomized Algorithm Design | Elective |
| 10 | Optimization and Business Decision Analysis | Elective |
| 11 | Analytics for Ventures / Venture Analytics | Elective |
| 12 | Product Analytics | Elective |
| 13 | Business Accounting and Banking Analytics | Elective |
| 14 | Basics of Marketing Analytics | Elective |
| 15 | Business Model Analytics | Elective |
| 16 | Healthcare Analytics | Elective |
| 17 | Supply Chain Analytics | Elective |
| 18 | Ethical and Legal considerations in Business Analytics | Elective |
SEMESTER III 91心頭利
| Sl. No. | Course Name | Course Type |
|---|---|---|
| 1 | Categorical Data Analysis | Core |
| 2 | Business Data Mining | Core |
| 3 | Business Economics | Core |
| 4 | Project Management | Core |
| 5 | Strategic Management | Core |
| 6 | Human Resource Management | Core |
| 7 | Corporate Finance | Core |
| Elective | ||
| 8 | Selected Aspects of Advanced Predictive Modelling | Elective |
| 9 | Econometric Methods With Applications in Business and Economics | Elective |
| 10 | Financial Risk Management | Elective |
| 11 | Computational Finance | Elective |
| 12 | Games & Information | Elective |
| 13 | 鴛稼岳艶姻界顎鉛岳顎姻温鉛油京顎壊庄稼艶壊壊油遺看馨馨顎稼庄界温岳庄看稼 | Elective |
| 14 | Leading Professional Teams | Elective |
| 15 | Causality in Statistical Learning for Business Applications | Elective |
SEMESTER IV
| Sl. No. | Course Name | Course Type |
|---|---|---|
| 1 | INDUSTRY INTERNSHIP[ Internship based Project ] | Compulsory |