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Helpline no. 0129-4259000

Helpline no. 0129-4259000


M.Tech Computer Engineering-MRU

Duration 2 Yrs
Intake 6
COURSE FEES (Per annum) for Indian Nationals in Rupees 1,18,000
COURSE FEES (Per annum) in US $ For PIO/NRI Students  US $ 4400
Criteria for Preparation of Merit list
Merit preparation/ short listing of candidates shall be on the basis of score in GATE/Graduation Qualifying Examination
Eligibility Criteria
Minimum 50% marks or equivalent CGPA in B.E./B.Tech in Computer Science & Engineering/ Computer Technology/ Information Technology/ MCA or equivalent


  • Corporate Sector: The Employment opportunities after M.Tech include offers from consulting companies (TCE Consulting Engineers Ltd., Zinnov Research Consulting), Core Engineering Companies (Punj Lloyd, LT ECC), R&D Centers (BARC, ISRO)
  • Research Development: The opportunity of super-specialization and further studies are always open after completing the M.Tech degree
  • The Teaching Profession: After completing M.Tech, there are various jobs available in academic institutions.


Teaching Assistant-ship For M.Tech CSE Student

MRU now offers teaching assistantship for MTech CSE Students. The selected candidates having more than 70% overall marks or 7.00 CGPA in the qualifying examination shall be provided teaching assistantship on the recommendations of the committee constituted by the Vice-Chancellor of the University.

Under this provision, such candidates shall be required to engage with Professors/ Associate Professors of the University for Practical and Tutorial Classes with total assignments of 8-10 periods/week and they shall be paid stipend of Rs. 10000/- per month with a maximum limit of payment for 12 months during the complete duration of the M.Tech programme.

*The candidate of M.Tech Programme can either avail the above free ship policy for PG programme or Teaching Assistantship.


Course Structure

Core Subjects – DCST
1 1 Hard Course Advanced Algorithms
2 Mathematics of Computer Science
3 System Engineering
4 Workshop Agile Technologies (individual agile)
6 2 Hard Course Information Security
7 User Experience
8 Workshop Network Simulator-3
9 Software Project Management (group agile)
10 3 Hard Course Cloud Computing
11 Workshop Software Testing
12 4 Hard Course Big Data
13 Workshop Dissertation


Domain Elective– M.Tech. (CE)

SNo Sem Electives

Machine Learning

Networking Essentials

Data Storage Management

1 1 Elective-I Artificial Intelligence and Artificial Neural Networks Advanced Computer Networks NoSQL Database Models
2 2 Elective-II Machine Learning Mobile Communication Data Warehousing
3 2 Elective-III Soft Computing Wireless Sensor Networks Business Intelligence
4 3 Elective-IV Image Processing & Pattern Recognition Mobile Software  Data Mining
5 3 Elective -V Evolutionary Computing Distributed & Mobile Architecture Business Analytics 

Soft Courses (M.Tech. CE)



1. 1 Research Methodology
2. 2 Writing Research Papers
3. 3 Pedagogical skills
4. 4 Professional and ethical issues
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