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M.Tech. Computer Science & Engineering
M.Tech. Computer Science & Engineering
Eligibility
Fee Structure
Program Details
Eligibility
Eligibility for Admission
B.E / B.Tech. CSE / IT / ECE / EEE / EIE / ICE / Electronics or Equivalent degree in relevant field & MCA with a minimum CGPA of 5.0 / 50% of mark.
- Admission is based on the CGPA /Percentage obtained in the UG degree and performance in the Crescent University Admission Test (CUAT-2025) conducted by our institute.
- Applicants who have already appeared in the National level Entrance Exams like GATE, TANCET, etc., and have secured valid scores are exempted from appearing CUAT.
Fee Structure
Program Details
Admission Brochure
- M.Tech (CSE)
Programme Educational Objectives
- To provide advanced knowledge and skills in the field of Computer Science and Engineering
- To provide essential skill sets needed for Software Development as per the Industry requirements
- To instill confidence and provide necessary ambience to take up fundamental as well as applied Research in Computer related domains with social
relevance - To impart required analytical skills and tools for solving problems with varied complexity
- To hone necessary skills to effectively communicate, work as a team for a successful professional career
Programme Outcomes
On completion of the programme the graduates will
- Have the capability to design and develop computer based systems for different domains
- Be able to apply the knowledge of computing tools and techniques for solving real life problems encountered in Software Industries
- Be able to pursue quality research in areas of social relevance
- Be able to work as a team exhibiting effective managerial skills
Programme Specific Outcomes
- Design, Analyze and develop essential proficiency in the areas related to algorithms, networking, web design, big data analytics, cloud computing, security, IoT and apply the knowledge to solve real world problems
- Apply the knowledge of computer science in various domains to identify research gaps and provide solutions in an optimized way