Computer Science & Engineering (M-Tech)


Duration: 2 years


Candidates who have acquired BE/ B.Tech./ AMIE or equivalent degree in Computer Science/ Information Science / Electronics & Communication Engineering / Telecommunication Engineering / Electrical & Electronics Engineering by securing not less than 50% marks in aggregate are eligible. However in case of candidates belonging to SC/ST / Group 1, the aggregate percent of marks m qualifying examination should not be less than 45%. The admissions are through central counselling on the basis of merit in PGCET or GATE. A few seats are also available under sponsored and Management quota. GATE qualified candidates are eligible for scholarship through AICTE.


In the current scenario of various computing devices, the importance of efficient computing with resource optimization is becoming more and more relevant. The need for advancements in architecture and integrating computer hardware, software, algorithms, data management, simulation etc is being increasingly felt. It is in this context this program assumes relevance.

The curriculum is aimed to give theoretical and hands on in the areas of Advances in Operating Systems, Advances in DBMS, Computer Systems Performance Analysis, Formal Models in Computer Science, Advanced Algorithms, Advances in Computer Architecture, Computer Networks, Optical Networks, Advances in VLSI in the first three semesters and a host of elective subjects like Advances in Digital Image Processing, Computer Graphics & Visualization, Topics in Artificial Intelligence, Protocols Engineering, Advances in Storage Area Networks, Advances in Compiler Design, Information Security etc. Students have opportunity to work in advanced areas like Data Warehousing and Data mining, as the department has projects funded by Government agencies and companies.


The students are required to learn through hands on in various laboratories in the department, namely, Research and Development Lab, High performance computer Lab, Network simulator Lab.


The students will get an opportunity to participate in projects related to, but not limited to Natural Language processing, Data Mining and Business Intelligence, Image processing, Clustering, Multicore processing, High performance computing.


Students will get placement and internship opportunities in Companies like IBM, HP, Microsoft, Cognizant Technologies, Tata Consultancy, WIPRO, Oracle and many more

Faculty List

Study Materials

Scheme & Syllabus 2016- Click Here

Scheme & Syllabus 2020- Click Here

Scheme & Syllabus 2022- Click Here

Beyond Syllabus

Distinguished Alumni