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 in Years | Total Number of Semesters | Maximum Duration in Years | Credit Hours |
Minimum CGPA Required |
---|---|---|---|---|
2 | 4 | 33-36 |
The Department of Computer Sciences at Sarhad University Peshawar has adopted the following three program educational objectives (PEOs). All of the PEOs have been devised keeping in view the vision and mission of the university and the professional requirements in the domain of Computer Science. PEO’s are aligned with United Nation SDG’s.
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).
Enable students to be creative in addressing and solving scientific and technological problems through research in Artificial Intelligence.
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).
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 |
Code | Title | CrHrs |
---|---|---|
Core Course I | 3-0 | |
Core Course II | 3-0 | |
Elective I (Domain Elective) | 3-0 |
Code | Title | CrHrs |
---|---|---|
RES 580 | Research Methodology | 3-0 |
Core Course III | 3-0 | |
Elective II (Domain Elective) | 3-0 |
Code | Title | CrHrs |
---|---|---|
Elective III (Domain Elective) | 3-0 | |
Elective IV (General Elective) | 3-0 | |
Elective V (Domain Elective) | 3-0 |
Code | Title | CrHrs |
---|---|---|
Plan A: MS with Research Work | ||
RES 690 | Research Thesis | 0-6 |
Plan B: MS with Course Work | ||
Elective VI (General Elective) | 3-0 | |
Elective VII (General Elective) | 3-0 | |
Project | 0-3 |
Code | Title | CrHrs |
---|---|---|
AI 500 | Advanced Artificial Intelligence | 3-0 |
AI 502 | Advanced Machine Learning | 3-0 |
AI 504 | Knowledge Representation and Reasoning | 3-0 |
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 |
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
Procedure to Apply Online