SUIT

About Program Eligibility Criteria Fee Structure Scheme of Studies How to apply

The Master of Science in Computer Science (MSCS) is a postgraduate program that provides advanced theoretical and practical knowledge in computing and information technology. The curriculum includes core areas such as algorithms, data structures, artificial intelligence, machine learning, software engineering, data science, cybersecurity, and computer networks. Students engage in research projects, hands-on programming, and problem-solving to address real-world technological challenges. The program prepares graduates for high-level careers in academia, industry, and research. Career opportunities include software developer, data scientist, AI engineer, systems analyst, cybersecurity specialist, and academic researcher.

Minimum Duration in Years	Total Number of Semesters	Maximum Duration in Years	Credit Hours	Minimum CGPA Required
2	4		33-36

Program Educational Objectives (PEO’s):

Computers are widely used in a great variety of industrial and commercial organizations, and the demand for computer science graduates far exceeds the supply. As a result, there are many exciting avenues for new postgraduates seeking creative and rewarding work with major industries and software houses.

The MS CS Program has, therefore, been designed to provide our scholars the opportunity to pursue highly productive careers in industry, academia and research institutes. It enables them to emerge as graduates, having the understanding and vision to creatively apply their knowledge to practical situations.

The enhanced lab and practical component of the program gives a competitive edge to our graduates and provides them the credentials to embark upon careers in Software Engineering, Networks & Communication Information Management, Artificial Intelligence, Research or Academia.

Program Outcomes:

Exhibit advanced knowledge of Computer Science field across fundamental theories, systems, software’s and applications

Master and gain in-depth knowledge in at least one specialized area of Computer Science

Think creatively and critically; to solve challenging and non-trivial problems

Apply problem-solving skills and computing knowledge to develop solutions for real world problems

Apprehend how computers and technology can impact the legal, social, ethical, and cultural aspects of the society

An ability to function effectively on teams to accomplish a common goal

Eligibility

Candidates having 16 years of education in (Software Engineering, Computer Science, Information Technology, Artificial Intelligence, Data Science, Cyber Security, Computer System Engineering). from HEC recognized institutions having a minimum CGPA of 2.00 on a scale of 4.00 (or overall 60% marks in annual system) or equivalent.
Applicants need to pass GRE/ HAT/ SU-GAT (General) to be conducted by NTS/ETEA or any Registered Testing Agency or University, with at least 50% cumulative score and to clear departmental interview at the time of admission.
The university may stipulate prerequisite courses to be completed by applicants not meeting the four-year university level study requirements or not having the relevant background to bring them equivalent to the requisite HEC requirements.

Documents Required

Matric DMC and Secondary School Certificate
Intermediate DMC & Provisional Certificate, and Higher Secondary School Certificate
Equivalency Certificate from IBCC (For A Level/Other than BISE students)
BS Transcript & Degree
Applicant CNIC / Form B
Father/Guardian CNIC
Domicile
04 Recent Passport size Photographs (Light Blue Background)
02 Original Recommendation Letters (From institute of last relevant degree)
GRE/ HAT/ SU-GAT (General) Result Card

Program Duration (Years)	2
No. of Semesters	4
Admission Fee (One Time)	10,000
Sem Enrollment/ Exam Fee	5,000
Tuition Fee (Per Sem)	59,950
Security (Refundable)	10,000
Sem-1 Fee (At time of Admission)	84,950
Sem-2 Fee	64,950
Sem-3 Fee	64,950
Sem-4 Fee	64,950
Total Program Fee	279,800

Scheme of Studies as per Prospectus 2024-25

Semester 1

Code	Title	CrHrs
	Core Course I	3-0
	Core Course II	3-0
	Core Course III	3-0

Semester 2

Code	Title	CrHrs
	Core Course IV	3-0
	Elective I	3-0
RES 580	Research Methodology	3-0

Semester 3

Code	Title	CrHrs
	Elective II	3-0
	Elective III	3-0
	Elective IV	3-0

Semester 4

Code	Title	CrHrs
Plan A: MS with Research Work
RES 690	Research Thesis	0-6
Plan B: MS with Course Work
	Elective V	3-0
	Elective VI	3-0
	Project	0-3

List of Core Courses

Code	Title	CrHrs
CS 561	Advanced Theory and Computation	3-0
CS 532	Advanced Algorithms Analysis	3-0
CS 522	Advanced Computer Architecture	3-0
CS 536	Advanced Operating Systems	3-0

List of Supporting Courses

Code	Title	CrHrs
MA 622	Mathematical Methods for Computing	3-0
MA 632	Advanced Linear Algebra	3-0
MA 522	Advanced Numerical Analysis	3-0
MA 620	Probability and Random Processes	3-0

List of Elective Courses (Parallel and Distributed Syst

Code	Title	CrHrs
CS 665	Parallel Programming for Multicore Systems	3-0
IT 619	Grid Computing	3-0
CS 666	Cloud Computing	3-0
CS 667	Mobile Cloud Computing	3-0
CS 668	Distributed Computing	3-0
CS 626	Simulation and Modeling	3-0

List of Elective Courses (Computational Intelligence &

Code	Title	CrHrs
CS 663	Advanced Artificial Intelligence	3-0
CS 638	Computer Vision	3-0
CS 647	Advanced Computer Graphics	3-0
CS 649	Pattern Recognition	3-0
CS 648	Machine Learning	3-0
CS 568	Natural Language Processing	3-0
CS 617	Digital Image Processing	3-0
CS 621	Digital Signal Processing	3-0

List of Elective Courses (Networks and Communications)

Code	Title	CrHrs
CS 664	Advanced Computer Networks	3-0
COM 556	Broadband Communication	3-0
COM 537	Wireless Communication	3-0
COM 670	Network Security and QoS	3-0
CS 631	Mobile Adhoc Networks	3-0
CS 651	Information Theory and Coding	3-0
COM 632	Network Performance Evaluation	3-0

List of Elective Courses (Software Engineering)

Code	Title	CrHrs
SE 540	Advance Software Engineering	3-0
SE 670	Software Management Quality	3-0
SE 526	Software Requirement Engineering	3-0
SE 529	Software Quality and Metrics	3-0
SE 622	Software Design Patterns	3-0
SE 611	Software Estimation	3-0
SE 668	Software Project Management	3-0

List of Elective Courses (Data Science)

Code	Title	CrHrs
CS 612	Statistical and Mathematical Methods for Data Science	3-0
CS 613	Tools and Techniques in Data Science	3-0
CS 614	Machine Learning	3-0
CS 615	Big Data Analytics	3-0
CS 616	Distributed Data Processing	3-0
CS 617	Complex Networks in Data Sciences	3-0

List of Elective Courses (Information Management)

Code	Title	CrHrs
CS 537	Advance Databases	3-0
CS 541	Data Warehouse	3-0
CS 529	Distributed and Object Databases	3-0
CS 542	Data Mining	3-0
CS 633	Data Grids	3-0
CS 661	Semantic Databases	3-0
CS 641	Spatial and Temporal Database	3-0

Procedure to Apply In-Person

Visit the Admission Office located at the Main Campus in Peshawar.
Obtain the Admission Form from the Admission Office.
Carefully and accurately complete all sections of the Admission Form.
Attach all the required documents and submit the form at the Admission Office.

Procedure to Apply Online

Visit the website: form.suit.edu.pk.
Sign up on the Online Admission Portal by providing the required information.
Sign in to your account using the credentials you created during sign-up.
Browse through the available programs and select the one you wish to apply for.
Fill in your personal details accurately.
Provide all necessary educational information.
Upload clear and readable copies of the required documents.
Download and print the Admission Processing Fee Challan.
Submit the fee at your nearest JS Bank Branch (branch details are available on the portal).
Upload a copy of the paid fee receipt to the portal.
Carefully preview all the entered information and documents.
Submit your application once you are sure everything is correct.