Master of Artificial Intelligence–MAI 180 points Qualification regulations
View qualification detailsEntry Requirements
1. (a) Before enrolment, a candidate for the MAI degree shall have:
(i) completed a Bachelor’s degree in computer science or a related subject with an average grade of at least B in the relevant final year courses; and
(ii) been accepted by the head of school or nominee as capable of proceeding with the proposed course of study.
(b) Requirement (a)(i) may be waived or varied by the associate dean for a candidate who has had extensive practical, professional, or scholarly experience that provides an equivalent level of preparation.
General Requirements
2. (a) Except as provided in section 4 of this statute, the course of study for the MAI shall consist of:
Part 1: (i) AIML 430;
(ii) 45 further points from AIML 425–440;
(iii) 30 further points from AIML 420–479, EEEN 422, EEEN 430;
(iv) 30 further 400-level points from AIML, COMP, DATA, NWEN, SWEN, EEEN 422, EEEN 430, STAT 432, STAT 452
Part 2: AIML 501 and 589.
3. A candidate for the MAI shall normally be enrolled for at least three trimesters and shall complete the degree within four years of first enrolling in it. The associate dean may extend the maximum period in special cases.
Award of Honours
5. The MAI may be awarded with Distinction or Merit as described in the Assessment Handbook. The award shall be made on the combined results of courses and the assessment of the research project.
Courses
| Course | Requisites Prerequisites (P), Corequisites(C), Restrictions (X), Double labelling (D) | Points | |
|---|---|---|---|
|
AIML 430
Applications and Implications of Artificial Intelligence
|
(P) 60 300-level pts | 15 | |
|
EEEN 422
Convex Optimisation
|
(P) EEEN 320 (or ECEN 320 or 321); (X) ECEN 422, ECEN 426 in 2014–2016 | 15 | |
|
STAT 432
Computational Statistics
|
(P) (MATH 277, 378) or (one course from STAT 332, 393, 394) or (one of (STAT 391, DATA 491) and one of (DATA 303, 473)) | 15 | |
|
STAT 452
Bayesian Inference
|
(P) (MATH 277, 378) or (one of STAT 332, 393, 394) or (one of (STAT 391, DATA 491) and one of (DATA 303, 473)) | 15 |
| Course | Requisites Prerequisites (P), Corequisites(C), Restrictions (X), Double labelling (D) | Points | |
|---|---|---|---|
|
AIML 501
Research Essay in Artificial Intelligence
|
(P) 45 points from AIML 425-440 | 15 | |
|
AIML 589
Research Project
|
(P) 45 points from AIML 425-440; (C) AIML 501 | 45 |