| Semester I | Semester II | Semester III | Semester IV |
|---|---|---|---|
| Applied Mathematics for Data Science and AI | AI Systems Lab | Project-III | Project-IV |
| Machine Learning Paradigms | Research Survey and Seminar | Electives (1/2/3/4 credits) | Electives (1/2/3 credits) |
| Data Science Lab | Electives (1/2/3/4 credits) | ||
| Elective | Project-II | ||
| Introduction to Research | |||
| Project-I |
Discipline core courses
| Sl. No. | Courses | Credits | Sem |
|---|---|---|---|
| 1 | Applied Mathematics for Data Science and AI | 3 | I |
| 2 | Machine Learning Paradigms | 3 | I |
| 3 | Data Science Lab | 2 | I |
| 4 | AI Systems Lab | 2 | II |
| Total Credit | 10 |
Master's core courses
| Sl. No. | Courses | Credits | Sem |
|---|---|---|---|
| 1 | Introduction to Research | 2 | I |
| 2 | Research Survey and Seminar | 3 | II |
| Total Credit | 5 |
NLP and Speech
- Natural Language Processing
- Information Retrieval
- Conversational Al
- Social Media Analytics
- Speech Recognition Systems
- Speech Synthesis
- Spoken Language Understanding
- Speaker Identification and Verification
Computer Vision
- Fundamentals of Computer Vision
- Object Detection and Recognition
- 3D Vision and Geometry
- Vision for Autonomous Systems
- Deep Learning for Vision
Generative AI
- Advanced Deep Learning
- Generative Al
- Deep Speech Processing
- Large Language Models
- Text and Speech Generation with Advanced Models
- Visual Creativity with Generative Al
Financial Analytics
- Financial Data Analytics
- Numerical Methods in Finance
- Computational Financial Modelling
- Applied Econometrics
Al in Healthcare
- Bioinformatics
- Healthcare Data Analytics
- Computational Biology
- Biomedical Signal and Image Processing
- Statistics for Health Technology