M.Tech Computer Science and Engineering

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About Program

M.Tech program in Computer Science and Engineering (CSE) is to prepare students discover careers involving research and development applying computational techniques and technologies, to undertake advanced studies for research careers.

M.Tech (CSE) offers a strong foundation in Computer Science and equips them with advanced problem-solving techniques. Students will get an opportunity to choose specialized program electives in the trending areas of cloud Computing, data sciences.

Some of the salient points of this program are:

  • Structured curriculum with focus on research.
  • Has a high emphasis on practice as an integral part of the course work.
  • Builds research skills through project work.

Program Overview

PEO 1: Gain in-depth knowledge of advanced computational methods, to apply in relevant real-world issues within the context of a specific application domain.

PEO 2: To provide the required knowledge to the students and prepare them to pursue research in the area of Computer Science and Engineering.

PEO 3: To inculcate effective communication, teamwork, and leadership skills and demonstrate an ability to relate engineering issues to social context.

PEO 4: To impart professional, ethical and social attitude and demonstrate the ability towards reflective learning needed for a successful career.

PO1: An ability to independently carry out research /investigation and development work to solve practical problems.

PO2: An ability to write and present a substantial technical report/document.

PO3: Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program.

PO4: Demonstrate the use of modern tools and techniques in the field of Computer Science.

PO5: Work with multidisciplinary groups in a collaborative manner to develop sustainable inclusive technologies


Course Curriculum

1st Semester

 

S.NO. Code Title of Course L T P Credits
1 B4201 Advanced Operating Systems 3 0 0 3
2 B4202 Advanced-Data Structures 3 0 0 3
3 Program Elective – I 3 0 0 3
4 Program Elective – II 3 0 0 3
5 B4905 Research Methodology and Intellectual
Property Rights
2 0 0 2
6 B4203 Advanced OS Laboratory 0 0 4 2
7 B4204 Advanced DS Laboratory 0 0 4 2
8 Audit Course – I 2 0 0 0
*L/T/P represent periods per week

2nd Semester

 

S.NO. Code Title of Course L T P Credits
1 B4205 Advanced Algorithms 3 0 0 3
2 B4207 Advanced Algorithms Laboratory 0 0 4 2
3 B4206 Cloud Computing 3 0 0 3
4 B4208 Cloud Computing Laboratory 0 0 4 2
5 B4209 Mini Project With Seminar 0 0 4 2
6 Program Elective – III 3 0 0 3
7 Program Elective – IV 3 0 0 3
8 Audit Course – II 2 0 0 0

1st Semester

S.NO. Code Title of Course L T P Credits
1 Program Elective – V 3 0 0 3
2 Open Elective 3 0 0 3
3 B4210 Major Project Phase-I 0 0 20 10

2nd Semester

S.NO. Code Title of Course L T P Credits
1 B4211 Major Project Phase-II 0 0 32 16