Approved Courses for Research Degree Students (SDSC)
Department of Data Science
PhD students are required to fulfill the stipulated core course and electives requirements.
Core Courses for PhD Students (9 Credits) for 2019 cohort and thereafter:
| Code | Course Title | Credits | 2024-25 Semester/Term |
|---|---|---|---|
| SDSC8003 | Machine Learning | 3 | A |
| SDSC8004 | Advanced Statistics | 3 | A |
| SDSC8005 | Optimization | 3 | A |
Core Courses for MPhil Students for 2019 cohort and thereafter:
Nil
Research Methodology and Ethics Courses (2 Credits) for PhD Students for 2019 cohort and thereafter:
| Code | Course Title | Credits |
2024-25 |
|---|---|---|---|
| SDSC8001 | Seminars on Data Science I | 1 | A & B |
| SDSC8002 | Seminars on Data Science II | 1 | A & B |
Electives for PhD Students (9 Credits)/MPhil Students (5 Credits) for 2019 cohort and thereafter:
| Code | Course Title | Credits |
2024-25 |
|---|---|---|---|
| SDSC8006 | Reinforcement Learning | 3 | B |
| SDSC8007 | Deep Learning | 3 | A |
| SDSC8008 | Data-driven Operations Research | 3 | - |
| SDSC8009 | Data Mining And Knowledge Discovery | 3 | A |
| SDSC8010 | Special Topics in Data Science | 3 | - |
| SDSC8011 | Social Foundations of Data Science | 3 | - |
| SDSC8012 | Bayesian Regression Modelling and Analysis | 3 | - |
| SDSC8013 | Statistical Methods for Categorical Data Analysis | 3 | B |
| SDSC8014 | Online Learning and Optimization | 3 | - |
| SDSC8015 | Machine Learning and Control Theory | 3 | - |
| MS8944 | Introduction to Probability Models | 3 | A |
| MS8945 | Stochastic Operations Research | 3 | B |
| MS8953 | Foundations of Management Science | 3 | B |
| FB8916 | Statistical Methods for Business Research | 3 | - |
Core Courses for PhD Students (5 Credits) for 2018 cohort or before:
| Code | Course Title | Credits |
2024-25 |
|---|---|---|---|
| SDSC8001 | Seminars on Data Science I | 1 | A & B |
| SDSC8002 | Seminars on Data Science II | 1 | A & B |
PhD students are required to complete 9 credits of postgraduate courses as prescribed by their supervisor based on the relevance of research work to fulfill the programme electives requirement.