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Entry Requirements


Description
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.

Courses

First Year Semester 1
Course Code Course Name Course Credits Remarks
MAI5100 Fundamentals of Artificial Intelligence 4
MAI5102 Responsible and Ethical Artificial Intelligence 3
MAI5101 Advanced Algorithms 4
Semester 2
Course Code Course Name Course Credits Remarks
MAI5200 Machine Learning 4
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
Semester 3/Annual
Course Code Course Name Course Credits Remarks
ZZZ5301 Elective (4 credits) 4 Choose either MAI5301- Foundations of Large Language Models OR MAI5302 - Agent Based Modelling and Simulation OR MAI5303 - Applied Robotics
YYY5301 Elective 3 Choose either MAI5304 - Human AI Interactions OR MAI5305- Human-Robot Interaction (HRI)

Second Year Semester 1
Course Code Course Name Course Credits Remarks
MAI6100 Research Method & Proposal Preparation 3
Semester 2
Course Code Course Name Course Credits Remarks
LLL6201 Elective ( 9 credits) 9 Choose either MAI6200 - Research Thesis OR MAI6201 - Applied Project