SUIT

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

The Master of Science in Artificial Intelligence (MS AI) is a cutting-edge postgraduate program that focuses on the development and application of intelligent systems that can learn, reason, and make decisions. The curriculum covers key areas such as machine learning, deep learning, computer vision, natural language processing, robotics, and AI ethics. Students gain hands-on experience through practical projects, research, and the use of modern AI tools and frameworks. The program prepares graduates to lead innovation in diverse sectors. Career opportunities include roles as AI engineers, machine learning specialists, data scientists, research scientists, and AI consultants in technology firms, research labs, healthcare, finance, and more.

Minimum Duration	Total Semesters	Maximum Duration	Credit Hours	Min CGPA
2	4	4	35-38	2.0

Program Objectives :

To prepare students for innovation in the area of Artificial Intelligence, in two ways: firstly, the creation of innovative techniques and methods within the research area of Artificial Intelligence and, secondly, the application of these techniques and methods relative to social and business reality as well as creating processes and innovative computer solutions.
Acquire advance training of a specialized and multidisciplinary nature, geared towards promoting the introduction to research work in Artificial Intelligence.
Provide a higher degree of knowledge in Artificial Intelligence techniques and methods, to be able to deal with and solve technological and scientific problems through the research (research in order to innovate).
Create innovative programs that are able to combine the specialized nature of the degree with creativity that underlies original, active and productive research directions (innovate in order to research) in Artificial Intelligence.
Enable students to be creative in addressing and solving scientific and technological problems through research in Artificial Intelligence.

Program Outcomes:

The ability to apply coding skills, design skills, and creative thinking to build cutting-edge AI systems.
The ability to convert descriptions of abstract AI challenges into descriptions of specific AI project requirements.
The knowledge of machine learning, natural language processing, and computer vision design mechanisms, algorithms, and state-of-the-art system architectures.
The ability to identify well-defined performance metrics (e.g., sensitivity and specificity of the AI system).
The ability to design and run simulations/ experiments to validate and enhance system/ software performance.
The possession of excellent skills in coding in a high-level, general-purpose programming language (e.g. R language or Python etc).

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 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)	100,000
Security (Refundable)	10,000
Sem-1 Fee	125,000
Sem-2 Fee	105,000
Sem-3 Fee	105,000
Sem-4 Fee	105,000
Total Program Fee	440,000

Scheme of Studies (Prospectus 2026)

Semester 1

Code	Title	CrHrs
	Core Course I	3-0
	Core Course II	3-0
	Elective I (Domain Elective)	3-0
QT 501	Fehm-e-Quran - I (for Muslims)	0-1
MR 501	Minority Rights in Constitution of Pakistan-I (for Non Muslims)	1-0

Semester 2

Code	Title	CrHrs
RES 580	Research Methodology	3-0
	Core Course III	3-0
	Elective II (Domain Elective)	3-0

Semester 3

Code	Title	CrHrs
	Elective III (Domain Elective)	3-0
	Elective IV (General Elective)	3-0
QT 601	Fehm-e-Quran – II (for Muslims)	0-1
MR 601	Minority Rights in Constitution of Pakistan-II (for Non Muslims)	1-0

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 (General Elective)	3-0
	Elective VI (General Elective)	3-0
	Elective VII (General Elective)	3-0

List of Core Courses

Code	Title	CrHrs
AI 504	Knowledge Representation and Reasoning	3-0
AI 500	Advanced Artificial Intelligence	3-0
AI 502	Advanced Machine Learning	3-0

List of Domain Elective Courses

Code	Title	CrHrs
AI 506	Artificial Intelligence in Software Quality	3-0
AI 508	Semantic Web Technologies	3-0
AI 510	Optimization Techniques	3-0
AI 512	Robotics	3-0
AI 514	Expert System	3-0
AI 516	Computer Vision	3-0
AI 518	Natural Language Processing	3-0

List of General Elective Courses

Code	Title	CrHrs
AI 610	Agent Based Modeling	3-0
AI 612	Big Data Analytics	3-0
AI 614	Academic Writing and Publishing	3-0
AI 616	Tools and Techniques in Data Science	3-0
MA 617	Statistical and Mathematical Methods for Data Science	3-0
AI 618	Research Topics in Artificial Intelligence	3-0

Procedure to Apply In-Person

Visit the Admission Office at the Main Campus.
Get the admission form.
Fill the form carefully.
Attach documents & submit.

Procedure to Apply Online

Visit form.suit.edu.pk
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Select program
Enter details
Upload documents
Download challan
Pay at JS Bank
Upload paid receipt
Submit application

Contact Information

Sarhad University of Science & IT, Main Campus

Hayatabad Link Road, Ring Road Peshawar

+92-91-5230931
hod.csit@suit.edu.pk

Mon – Fri 9:00A.M. – 5:00P.M.

Social Info

Download Prospectus (PDF)