Bachelor of Science in Data Science
| Semester | Subject - Title | Course Type | Course Code |
| Semester 1 | Descriptive Statistics | DSC | USDS101 |
| Introduction to Programming | DSC | USDS102 | |
| Web Technology | DSC | USDS103 | |
| Business Communication and Information Ethics | AECC | USDS104 | |
| Precalculus | DSC | USDS105 | |
| Descriptive Statistics Practical | DSC | USDS1P1 | |
| Introduction to Programming Practical | DSC | USDS1P2 | |
| Web Technology Practical | DSC | USDS1P3 | |
| ICT Practical | AECC | USDS1P4 | |
| Precalculus Tutorials | DSC | USDS1P5 | |
| Semester 2 | Probability and Distribution | DSC | USDS201 |
| Database Management | DSC | USDS202 | |
| R Programming | DSC | USDS203 | |
| Environmental Science | AECC | USDS204 | |
| Calculus | DSC | USDS205 | |
| OProbability and Distributions Practical | DSC | USDS2P1 | |
| Database Management Practical | DSC | USDS2P1 | |
| R Programming Practical | DSC | USDS2P1 | |
| Project Presentation on Data Science in Environmental Science | AECC | USDS2P1 | |
| Calculus Tutorials | DSC | USDS2P1 |
| Semester | Subject - Title | Course Type | Course Code |
| Semester 3 | Research Methods and Ethics | DSC | USDS301 |
| Data Structures and Algorithms using Python | DSC | USDS302 | |
| Economics | SEC | USDS303 | |
| Data Warehousing and Mining | DSC | USDS304 | |
| Linear Algebra and Discrete Mathematics | DSC | USDS305 | |
| Reasearch Methods and Ethics Practical | DSC | USDS3P1 | |
| Data Structures and Algorithms using Python Practical | DSC | USDS3P2 | |
| Economics Practical | SEC | USDS3P3 | |
| Data Warehousing and Mining Practical | DSC | USDS3P4 | |
| Linear Algebra and Discrete Mathematics Practical | DSC | USDS3P5 | |
| Semester 4 | Testing of Hypothesis | DSC | USDS401 |
| Big Data | DSC | USDS402 | |
| Fundamentals of Accounting | DSC | USDS403 | |
| Artificial Intelligence | DSC | USDS404 | |
| Numerical Methods | DSC | USDS405 | |
| Testing of Hypothesis Practical | DSC | USDS4P1 | |
| Big Data Practical | DSC | USDS4P2 | |
| Fundamentals of Accounting Practical | SEC | USDS4P3 | |
| Artificial Intelligence Practical | DSC | USDS4P4 | |
| Numerical Methods Practical | DSC | USDS4P5 |
- Electives and some core courses may change according to pre-requisites required for selected specialization/major.
- Students must also study some of mandatory courses (apart from provided electives) after transferring as directed by the university
- Number of transferrable credits from Vidyalankar are 60.