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
Admission 2025-26
Tuition fee can be paid in two instalments in a year (semesterwise)
| Name of the Programme | Tuition Fee Per Year (INR) | Amenities and Service Fee (INR)(One–time) |
|---|---|---|
| M.Tech. Computer Science & Engineering | 80,000 | 20,000 |
Program Details
Admission BrochureÂ
- M.Tech (CSE)
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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
