MS Computer Science

MS Computer Science

Program Objectives

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

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.
Core Courses for MS (Computer Science)
At least four courses must be taken from the following:
CS501 Advanced Analysis of Algorithms
CS505 Advanced Operating Systems
CS507 Theory of Programming Languages
CS534 Theory of Automata – II
EE502 Advanced Computer Architecture

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.

SCHEME OF STUDIES

Semester-1

CODE
COURSE TITLE
CREDIT HOURS
CS701
Adv. Algorithmic Analysis
3
CS702
Adv. Theory of Computation
3
CS7xx
Elective – I
3

Semester-2

CODE
COURSE TITLE
CREDIT HOURS
MS750
Adv. Research Methods
3
CS7xx
Elective – II
3
CS7xx
Elective – III
3

Semester-3

CODE
COURSE TITLE
CREDIT HOURS
CS7xx
Elective – IV
3
CS7xx
Elective – V
3
Thesis (Initial Registration) [optional]
3

Semester-4

CODE
COURSE TITLE
CREDIT HOURS
CS7xx
Elective – VI [instead of Thesis]
3
CS7xx
Elective – VII [instead of Thesis]
3
Thesis (Final Registration) [optional]
3

List of Electives

CODE
COURSE TITLE
CS703
Adv. Soft. Req. Engineering
CS704
Adv. Soft. Quality Assurance
CS711
Parallel Computing : Hardware Systems
CS712
Machine Learning Systems
CS713
Computer Graphics and Image Analysis
CS714
Applied Software Project Management
CS715
Advanced Algorithmic Design and Analysis
CS716
Advanced Data Communication and Networks
CS717
Parallel Computing : Software
CS718
Formal Methods and Models
CS719
Bayesian Networks and AI
CS720
Advanced Data Mining
CS721
AI: Cognitive Modeling
CS722
Surreptitious Software
CS723
IoT and Data Analytics
CS750
Modern Cryptography
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