| Duration | 1.5-2 Years |
|---|---|
| Level | Masters Program |
- Graduate students develop a strong background in the theoretical foundations and algorithm development in artificial intelligence and deep learning with a thorough understanding of a variety of engineering applications
- Students will learn a blend of software and hardware skills that are applicable across multiple engineering domains
- Students are immersed in a hands-on approach to learning within a mix of course offerings, from fundamental core courses to state-of-the-art topics such as internet of things (IoT), information systems security, and big data applications
- Students are required to complete a minimum of 30 credits (10 courses) to graduate
- Concentrations:
- Artificial Intelligence in Design and Construction
- Biomedical Engineering
- Computer Engineering
- Data Engineering
- Electrical Engineering
- Mechanical Engineering
- Software Engineering
- Systems Biology
| Fees components | Amount |
|---|---|
| Tuition & fees | 2740201 INR |
| Hostel & Meals | 1659618 INR |
| Insurance | 155635 INR |
| General Services Fee | 82175 INR |
| Student Activity Fee | 24902 INR |
| Miscellaneous expense | 76902 INR |
| Books & Supplies | 73240 INR |
| Total | 2072472 INR |
Entry Criteria
| Class 12th | No specific cutoff mentioned |
|---|---|
| Bachelors | 3.0 GPA
|
| Exams | TOEFL: 86 IELTS: 7 GRE: Accepted GMAT: Accepted |
| Additional info |
|
Contact form













