MS-CS

Objective

The MS (Computer Science) comprises of both course work as well as research component. There are four ‘core courses’ aimed at strengthening the understanding and competence of students in computer science fundamentals. The University expects its MS graduates to pursue careers either as ‘Computer Science Faculty Members’ or as ‘Software Development Managers’ in the industry.

Learning Outcomes

  1. Students will be able to possess advanced knowledge of Computer Science field
  2. Students will be able to think creatively and critically; to solve non-trivial problems
  3. Students will be able to use computing knowledge to develop efficient solutions for real life problems
  4. Students will be able to design solutions and can conduct research related activities

Eligibility Criteria

Degree in relevant subject, earned from a recognized university after 16 years of education with at least 60% marks or CGPA of at least 2.0 (on a scale of 4.0).

The following core courses are recommended to be completed before entering the

MS (CS) program.

  1. Analysis of Algorithms
  2. Assembly Lang. / Computer Architecture
  3. Computer Networks
  4. Computer Programming
  5. Data Structures
  6. Database Systems
  7. Operating Systems
  8. Software Engineering
  9. Theory of Automata

A student selected for admission having deficiency in the above stated courses may be required to study a maximum of FOUR courses, which must be passed in the first two semesters. Deficiency courses shall be determined by the Graduate Studies Committee, before admitting the student.

A student cannot register in MS courses, unless all specified deficiency courses have been passed.

A student has the option to pursue MS by undertaking either a 6 credit hour MS Thesis OR a three credit hour taught course and a three credit-hour MS Project.

Registration in “MS Thesis – I” is allowed provided the student has:

  1. Earned at least 18 credits
  2. Passed the “Research Methodology” course; AND
  3. CGPA is equal to or more than 2.5

Award of Degree

For award of MS degree, a student must have:

  1. Passed courses totaling at least 30 credit hours, including four core courses.
  2. Obtained a CGPA of 2.5 or more

1st Semester

 

2nd Semester

S#

Code

Pre

Subject

Credit Hrs

 

S#

Code

Pre

Subject

Credit Hrs

Th.

Pr.

 

Th.

Pr.

1

–

–

Core Course – I

3

0

 

1

–

–

Core Course – III

3

0

2

–

–

Core Course – II

3

0

 

2

–

–

Core Course – IV

3

0

3

–

–

Elective – I

3

0

 

3

–

–

Elective – III

3

0

4

–

–

Elective – II

3

0

 

4

–

–

Elective – IV

3

0

 

 

 

 

 

 

 

5

CS-603

–

Research Methodology

1

0

Semester Total Credit Hours:

12

 

Semester Total Credit Hours:

13

3rd Semester

 

4th Semester

S#

Code

Pre

Subject

Credit Hrs

 

S#

Code

Pre

Subject

Credit Hrs

Th.

Pr.

 

Th.

Pr.

1

–

–

MS Thesis – I

3

0

 

1

–

–

MS Thesis – II

3

0

Semester Total Credit Hours:

03

 

Semester Total Credit Hours:

03

Total Credit Hours

31

List of Core Courses

 

SR#

Code

Subject

CHr

 

1

CS-701

Advanced Analysis of Algorithms

3

 

2

CS-702

Advanced Operating Systems

3

 

3

 CS-703

Theory of Programming Languages

3

 

4

 CS-704

Theory of Automata – II

3

 

5

CS-705

Advanced Computer Architecture

3

 

MS Elective Subjects

S#

Code

Subjects

Pre-Req

Cr Hrs

Th

Pr

1

CS-706

Advanced DBMS

–

3

0

2

CS-707

Advanced Computer Graphics

–

3

0

3

CS-708

Cryptography

–

3

0

4

DS-701

Advanced Data Science

–

3

0

5

DS-702

Advanced Data Warehousing

–

3

0

6

DS-703

Advanced Data Mining

–

3

0

7

DS-704

Advanced Expert System

–

3

0

8

DS-705

Advanced Machine Learning

–

3

0

9

DS-706

Tools and Techniques for Data Science

–

3

0

10

IT-406

Computing Economics

–

3

0

11

IT-414

Multimedia Information Systems

–

3

0

12

IT-415

Data Compression

–

3

0

13

IT-417

Web Services

–

3

0

14

IT-519

Broadband and Satellite Communication

–

3

0

15

IT-617

Advanced Computer Networks

–

3

0

16

IT-618

Real Time Systems

–

3

0

17

IT-702

Robotics

–

3

0

18

IT-704

Computer Vision

–

3

0

19

IT-713

Control Systems and Robotics

–

3

0

20

IT-716

Wireless and Mobile Computing Net:

–

3

0

21

IT-717

Enterprise Networking

–

3

0

22

IT-718

Neural Networks

–

3

0

23

SE-505

OO Software Engineering

–

3

0

24

SE-512

Formal Methods

–

3

0

25

SE-617

Advanced Software Development

–

3

0

26

SE-701

Advanced Software Quality Assurance

–

3

0