Academic programme
Master of Science (Artificial Intelligence)[from 2024-2025]
Admissions
Entry requirements
Review the current admission requirements associated with this programme.
- BSc. in Computer Science or any other discipline deemed relevant by the Faculty from a recognised university with at least a credit (Overall GPA or 2.7 or above).
- BSc. in Computer Science or any other discipline deemed relevant by the Faculty from a recognised university with an overall GPA that is less 2.7 but greater than 2.0 and a Major GPA of 2.7 or above.
- BSc. in Computer Science or any other discipline deemed relevant by the Faculty from a recognised university, whose GPA does not match any of the above, AND at least 3 years of relevant post qualification work experience. These prospective students will have to take and pass an entry proficiency test with at least 60%.
- A Master of Science Degree in an area deemed relevant by the Faculty.
- Any other qualification deemed by the University to be equivalent to the above.
Programme structure
Courses by year and semester
Expand each year to review the courses currently associated with this programme.
First Year
Semester 1
3 courses| Course code | Course title | Credits | Remarks |
|---|---|---|---|
| MAI5101 | Advanced Algorithms | 4 | — |
| MAI5100 | Fundamentals of Artificial Intelligence | 4 | — |
| MAI5102 | Responsible and Ethical Artificial Intelligence | 3 | — |
Semester 2
2 courses| Course code | Course title | Credits | Remarks |
|---|---|---|---|
| ZZZ5201 | Elective (4 credits) | 4 | Choose either MAI5201- Natural Language Processing OR MAI5202 - Agents and Multiagent System OR MAI5203- Applied Deep Learning for Computer Vision |
| MAI5200 | Machine Learning | 4 | — |
Semester 3
2 courses| Course code | Course title | Credits | Remarks |
|---|---|---|---|
| YYY5301 | Elective | 3 | Choose either MAI5304 - Human AI Interactions OR MAI5305- Human-Robot Interaction (HRI) |
| ZZZ5301 | Elective (4 credits) | 4 | Choose either MAI5301- Foundations of Large Language Models OR MAI5302 - Agent Based Modelling and Simulation OR MAI5303 - Applied Robotics |
Second Year
Semester 1
1 course| Course code | Course title | Credits | Remarks |
|---|---|---|---|
| MAI6100 | Research Method & Proposal Preparation | 3 | — |
Semester 2
1 course| Course code | Course title | Credits | Remarks |
|---|---|---|---|
| LLL6201 | Elective ( 9 credits) | 9 | Choose either MAI6200 - Research Thesis OR MAI6201 - Applied Project |