M.Tech Computer Engineering
Duration | 2 Yrs |
Intake | 6 |
COURSE FEES (Per annum) for Indian Nationals in Rupees | 1,29,500/- |
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 | |||
SNo | SEMESTER | NATURE OF COURSE | SUBJECT |
1 | 1 | Hard Course | Advanced Algorithms |
2 | Mathematics of Computer Science | ||
3 | System Engineering | ||
4 | Workshop | Agile Technologies (individual agile) | |
5 | MATLAB | ||
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)
SNo | SEM |
SUBJECT |
1. | 1 | Research Methodology |
2. | 2 | Writing Research Papers |
3. | 3 | Pedagogical skills |
4. | 4 | Professional and ethical issues |