The Master of Science in Computer Vision degree program requires completion of at least 31 credits with a cumulative GPA of 3.0 or better. This full-time program typically spans four trimesters of 15 weeks each.
This is a sample sequence of courses and should not be used for advising purposes. For more information, contact the Graduate Admissions Office for a one-on-one consultation with our faculty.
| Trimester | Course | Credits |
|---|---|---|
| Trimester 1 (Online Trimester) | MCV 5210 Mathematical Elements for Computer Vision | 3 |
| MCV 5172 Computer Vision | 3 | |
| Trimester Total | 6 | |
| Trimester 2 (Online Trimester) | MCV 5173 Machine Learning and Pattern Recognition | 3 |
| MCV 5174 Video Processing | 3 | |
| Trimester Total | 6 | |
| Trimester 3 (Face-to-face Trimester) | MCV 5175 Convolutional Neural Network | 3 |
| MCV 5176 Deep Learning Models | 3 | |
| MCV 5910 Capstone Project (Phase-I) | 4 | |
| Trimester Total | 10 | |
| Trimester 4 (Face-to-face Trimester) | MCV 5177 Future Trends in Computer Vision (Seminar) | 3 |
| MCV 5911 Capstone Project (Phase-II) | 6 | |
| Trimester Total | 9 | |
| Degree Total (minimum credits required) | 31 | |
Student to faculty ratio for 2022 cohort is 2:1.
