- The MS in Computer Science prepares students to develop cutting-edge, enterprise-quality software systems and demonstrate innovation and entrepreneurship in any application domains.
- The program is built on a solid foundation of computing theory and it features an in-depth study in current sought-after technologies including artificial intelligence, mobile computing, internet computing, network security, and web security to take their career in many rewarding directions.
- It is preferable for students to have a background in computer science, mathematics, or statistics, and a desire to combine the skills of these fields.
- However, students with other bachelor's degrees will be considered for the MS in Data Science based on their previous academic performance and experience.
- Students must be proficient in calculus and linear algebra, and also have some programming and database experience.
- Throughout the degree program, students will work on projects, individually and in teams, as part of their ordinary course requirements. Moreover, students will work with a variety of programming languages and tools including Python, R, TensorFlow, Spark, Hadoop, and MapReduce.
| Event | End Date |
| Spring Application Deadline | Oct 1, 2023 |
| Summer Application Deadline | Mar 1, 2024 |
Fees & Funding
Tution & Application Fees
| Year | Year 1 | Year 2 |
| Tuition Fees | ₹3780750 | ₹3780750 |
| Total Fees | ₹3780750 | ₹3780750 |
Living Costs
| Head | Avg Cost Per Year |
| Room and Board | ₹1846887.5 |
| Transportation | ₹53250 |
Eligibility & Entry Requirement
- If English is not the students’ first language then they need to prove English proficiency through IELTS/TOEFL or any equivalent test
- Indian Students Eligibility:
- Students must hold a bachelor degree or equivalent from a recognized institution with a minimum GPA of 3.4 on a 4.0 scale.
Scores Required
6.5 / 9
Avg. Score in
IELTS
80 / 120
Avg. Score in
TOEFL
Required Document List
- CV or Resume
- Letter of Recommendation
- Statement for Purpose
- Official Transcripts
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