
M. Tech in Computer Science and Information Technology
M. Tech in Computer Science and Information Technology at Symbiosis University of Applied Sciences is a Master’s degree programme for aspirants who are interested in advanced learning and research in an area of Computer Science and Information Technology and aim to achieve heights in their careers. M. Tech curriculum has been designed to be highly creative and in consultation with the industry to ensure that the student is job ready and employable on completion of the course from the University. It is a 2 year course which is spread over 4 semesters. The emphasis is on conducting original research and writing a thesis (individually) that reports these results. The programme is designed keeping in mind about the emerging trends of Computer Science and specializations in this domain. The university provides high-end laboratories and infrastructure facilities. We have PhD faculty from IIT’s, NIT’s and other state Universities.
B.E./B.Tech. in Computer Science and Engineering/Information Technology/Electronics/EEE, MCA or M.Sc. in Math/Electronics/ Computer Science or equivalent.
There are numerous opportunities for candidates after completing M.Tech. in Computer Science and Information Technology from Symbiosis University of Applied Sciences. Some of the job prospects are listed below.
- Software Engineer
- Software Architect
- Data Scientist
- Machine Learning Engineer
- Artificial Intelligence Scientist
- Robotics Programmer
- Business Intelligence Analyst
- Big Data Engineer/Architect
- Deep Learning Engineer
- Research Scientist
- R&D Engineer
- Academician
M.Tech. (CSIT) Semester – I |
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Sr. No. | Subject | |
1.1 | Advance DBMS | |
1.2 | Computational Mathematics | |
1.3 | Research Methodology & Technical Communication | |
1.4 | Advance-Algorithm & Complexity | |
1.5 | Software Engineering & Modelling | |
1.6 | Elective – I
1. Artificial Intelligence & Machine Learning 2. Information Security Essentials 3. Python for Analytics |
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M.Tech. (CSIT) Semester – II |
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Sr. No. | Subject | |
2.1 | Quantum Computing | |
2.2 | Cloud Infrastructure and Management | |
2.3 | IoT Technology & Applications | |
2.4 | Elective – II
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2.5 | Open Elective – I
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2.6 | Minor Project – I | |
M.Tech. (CSIT) Semester – III |
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Sr. No. | Subject | |
3.1 | Advance Cloud Computing | |
3.2 | Elective – III
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3.3 | Open Elective – II
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3.4 | Minor Project – II | |
M.Tech. (CSIT) Semester – IV |
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Sr. No. | Subject | |
4.1 | Internship | |
4.2 | Seminar |
Click Here to View Fees for Indian Students.
Discretionary Quota
Few Seats are reserved for Discretionary Quota Seats. Only students with a high academic record are considered for Discretionary Quota Seats. The fees for Discretionary Quota Seats will be double the Academic fees for Indian Students to be paid to the University.
Note: Program shall commence ONLY subject to sufficient student enrollment.