SNU Noida M.Sc Computer Science: Fees 2026, Course Duration, Dates, Eligibility

Ans. The Part-Time MS (CSE) is designed for working professionals who wish to pursue advanced studies while continuing their employment. It requires a minimum of 2 years of work experience and an NOC from the employer. The Full-Time M.Tech (AI & Data Science) is for students who can commit to full-time study and offers a 50% tuition fee waiver and Teaching Assistantship opportunities. The Part-Time MS does not offer any fee waiver or stipend. Both programs culminate in a thesis and are offered by the same CSE department faculty.

Ans. No, a GATE score is not mandatory. However, having a valid GATE score (CS/IT paper) strengthens your application and may help in shortlisting. Candidates without a GATE score must appear for SNU's own written test, which covers Logical Ability, Mathematical Sciences (Linear Algebra, Probability and Statistics, Calculus, Discrete Mathematics), and Computer Science (C/C++ Programming, Data Structures and Algorithms).

Ans. Yes, the program is specifically designed for working professionals. However, you must obtain a No Objection Certificate (NOC) from your employer at the time of admission. The program requires you to attend classes and complete coursework while managing your professional responsibilities. The schedule is designed to accommodate working professionals, but specific class timings should be confirmed with the department.

Ans. The annual tuition fee for part-time students is Rs. 1,60,000 per year (full rate, no waiver). Over 2 years, the total tuition is Rs. 3,20,000. Adding the one-time admission fee of Rs. 60,000 and refundable security deposit of Rs. 30,000, the total outgo is Rs. 4,10,000. SNU does not provide any fellowship, stipend, or tuition fee waiver to part-time students. Students may explore education loans through SNU's partner banks or employer-sponsored education assistance programs.

Ans. The program is offered by the Department of Computer Science and Engineering, which has active research groups in Algorithms and Complexity, Natural Language Processing, Image Processing, Computer Vision, Data Mining, Social Network Analysis, Computational Biology, Security and Privacy, Internet of Things, and Wireless and Mobile Computing. Students work on a research thesis under faculty supervision, and the choice of research area depends on faculty availability and the student's background.

Ans. Students from non-CSE undergraduate backgrounds (e.g., M.Sc. in Mathematics, Physics, or Statistics) may be required to complete bridge courses as determined by the department. These bridge courses are designed to bring students up to speed on core computer science concepts before they begin the main program coursework. The specific bridge courses required will be communicated to the student at the time of admission based on their academic background.