Master of Science in Artificial Intelligence (M.SC. in AI)
The Master of Science in Artificial Intelligence offers advanced knowledge and practical skills in cutting-edge AI technologies. The program focuses on key areas such as machine learning, computer vision, natural language processing, and intelligent systems. Students engage in applied research and project-based learning to solve real-world problems across various industries. Designed to foster innovation and leadership, the program prepares graduates to become AI specialists who can drive digital transformation and make data-informed decisions in complex environments.
The course structure of the Master of Science in Artificial Intelligence is as follows:
Curriculum Structure
| Requirements | Type | No. Of Course | Credit Hours |
|---|---|---|---|
| Core Courses | Compulsory | 4 | 12 |
| Project-Based Courses | Compulsory | 2 | 6 |
| Elective Courses | Compulsory | 2 | 6 |
| Thesis/Capstone | Compulsory | 1 | 6 |
| Total | 9 | 30 | |
The Master of Science in Artificial Intelligence program aims to prepare professionals with advanced skills in machine learning, computer vision, natural language processing, and intelligent systems. The program emphasizes ethical innovation, applied research, and the development of AI solutions that address real-world challenges across sectors.
The Department’s educational objectives prepare graduates of the M.Sc. in AI to achieve the following:
- Provide students with a solid theoretical and practical foundation in AI, including machine learning, deep learning, natural language processing, and computer vision.
- Foster innovative thinking and the ability to apply AI techniques to real-world problems.
- Develop students’ abilities to conduct original research in AI, contribute to academic and industry advancements, and publish their findings.
- Prepare graduates for AI-driven industries, research institutions, and academic leadership roles.
- Promote ethical AI development and ensure students understand the societal implications of AI technologies.
Students enrolled in the Master of Science in Artificial Intelligence will:
- Demonstrate understanding of the theories and techniques of AI.
- Apply and integrate diverse AI technologies to formulate innovative solutions to complex problems.
- Analyze and extract meaningful insights from diverse data sources
- Develop novel solutions to real-world problems by applying AI techniques.
To enhance their expertise and tailor their learning experience, students are required to choose two elective courses, Elective 1 and Elective 2, from the list below. These advanced courses allow students to explore specialized areas of computer science and artificial intelligence aligned with their interests and career goals.
Students enrolled in the Master of Science in Artificial Intelligence will:
- Advanced Human-Computer Interaction
- Algorithm Analysis and Design
- Data Analytics and Visualization
- Advanced Database Systems
- Blockchain Technology & Cryptocurrencies
- Python Programming for Artificial Intelligence
- Ethics and AI Policy
- Computer Vision
- Natural Language Processing
| Tuition | Annual Tuition Payment |
|---|---|
| Local Students | $10,000 |
| International Students | $12,500 |
- Application Fee: $50
- Admission/Graduation Deposit: $250
- Student ID Card: $15
- IT Fees: $60 per semester
- Language Course: $800 per course (As required)
In order for a student to graduate with a master’s degree, he/she must complete a minimum of 30 credit hours and successfully fulfill all requirements outlined in the approved study plan. This includes the successful completion of a capstone project or research thesis, followed by a public defense or presentation of the results. To be eligible for graduation, the student must achieve a minimum Cumulative Grade Point Average (CGPA) of 3.0 by the time of degree completion. Additionally, all courses must be completed with the requisite course grades, and any outstanding grades recorded as “I” (Incomplete) or “IP” (In Progress) must be resolved. Finally, students must settle all financial obligations with the University in order to be officially awarded the degree. The master’s grade point scale is as follows:
GRADUATE GRADING SYSTEM
| Letter Grade | Numerical Grade | Grade Points |
|---|---|---|
| A | 90-100 | 4.00 |
| A- | 87-89 | 3.67 |
| B+ | 84-86 | 3.33 |
| B | 80-83 | 3.00 |
| B- | 77-79 | 2.67 |
| C+ | 74-76 | 2.33 |
| C | 70-73 (Minimum Passing Grade) | 2.00 |
| C- | 67-69 | 1.67 |
| D | 60-66 | 1.00 |
| F | 0-59 | 0 |
| “I” | Incomplete – No effect on GPA | |
| “IP” | In Progress – No effect on GPA | |
| “W” | Withdrawal – No effect on GPA | |
| “TR” | Transfer (credit counted) – No effect on GPA | |
| “P” | Pass - (credit counted) – No effect on GPA |
Students are required to maintain a minimum CGPA of 3.0/4.0 to remain in good academic standing. Graduate students who receive an "F" in any semester or term will be subject to academic dismissal from the University. If a graduate student's CGPA falls below 3.0 in a semester, they will be placed on probation and remain on probation until the CGPA reaches/exceeds the 3.00 threshold. A student only has two semesters to reach the 3.00 threshold. Failure to achieve a CGPA of 3.0 or higher by the end of the probationary semester will result in academic dismissal.
While on probation, students are limited to a maximum of 6 credit hours in the regular semester and 6 credits in the summer term. The ARD plays a crucial role in implementing the policy by identifying cases of non-compliance with academic standards, informing students about their probationary status, and providing necessary information to department chairs and college deans.
The policy also offers strategies for success, including seeking help from instructors, utilizing tutoring services, addressing non-academic causes of academic problems, managing incomplete grades, and understanding scholarship eligibility during probationary periods. For more information please see probation & dismissal policy AS031 – Probation & Dismissal.
