M.Sc. in Data Science
Description:
M.Sc Data Science program designed and aligned with industry Standards and bench mark. It aims to provide a solid foundation in Mathematics, Statistics, Competitive Programming, Internship and Research to develop the younger minds to work as a team and improve programming and leadership skills. At the end of program, the learner can become a computer software expert and join in any software industry.
Programme USPs
- All courses are hands-on
- Andragogical Teaching Methodology Aligned with Industry 4.0
- Industry Mentor for every single student from III semester onwards
- Group project during the third year
- One Full Semester Internship in the relevant Industry
Course Matrix
Sem | Discipline Core (DC) (Major/Minor) | Open Elective (OE) | Foundation Course (FC) | Competence Course (CC) | Total Credits |
I |
Data Science (4) |
— |
FC – I Introduction to IKS (3) | CC-I English Language Skills (2) CC – II Professional Communication Skills (2) |
23 |
II |
|
OE-1 (3) |
FC – II Empirical Sciences in Pre Modern India (3) |
CC -III (2) Technical Proficiency Skills/ Professional Attitude |
24 |
III |
|
OE-1 (3) |
— |
CC III : Foreign Languages (2) |
21 |
IV |
|
— |
— |
— | 12 |
| 60 | 6 | 6 | 8 | 80 |
List of Electives
Information Retrieval | Bayesian Statistics | Ethics for Data Science |
Natural Language Processing | Real Time Analytics | Big Data Systems |
Speech Recognition | Optimization Methods for Analytics | Data Warehousing |
Statistical Learning | Deep Learning | Spatial and Temporal Data Mining |
Time series | Distributed Data Systems | Graph Mining |
Artificial and Computational Intelligence | Probabilistic Graphical Modeling |