Degree Structure: Master of Artificial Intelligence and Machine Learning
Program code: MAAIM
Complete 96 units comprising:
- 66 units for all Core courses, and
- 12 units for all Work Integrated Learning, and
- 18 units for Electives
Study plan
A study plan sets out the courses you will need to complete and the recommended timing for each one. This will help to guide your enrolment in each study period, alongside any additional information provided below. If you have received a personalised plan or alternative advice from your Program Director, please refer to that guidance in the first instance, or seek help from your Program Director or Student Assist if you are unsure.
Enrolment information
Find details about the rules and notes that apply to your program, along with other essential information required for successful enrolment. Supplementary supporting resources may also be provided where applicable.
Courses
Listed here are all the courses that contribute to your program, including elective options that can be chosen. These courses come together to form your study plan. Courses fall into different categories, each of which have specific unit values that need to be met under the program rules.
What courses you'll study
Complete 96 units comprising:
- 66 units for all Core courses, and
- 12 units for all Work Integrated Learning, and
- 18 units for Electives
Complete 66 units for ALL of the following:
Work Integrated Learning description
WIL courses give you real‑world experience as part of your degree.
Complete 12 units for ALL of the following:
| Course name | Course code | Units | |
|---|---|---|---|
|
Course name
ICT Master Capstone Project 1
|
Course code
COMP6024
|
Units
6
|
|
|
Course name
ICT Master Capstone Project 2
|
Course code
COMP6000
|
Units
6
|
Electives description
A flexible course choice within your degree.
Complete 18 units comprising:
- 18 units from Program electives
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Computer Vision and Multimodal Machine Learning
|
Course code
COMP6001
|
Units
6
|
|
|
Course name
Data-Driven Decision-Making
|
Course code
COMP6011
|
Units
6
|
|
|
Course name
Data Taming and Prediction
|
Course code
MATHX105
|
Units
6
|
Your program team
Dr Nazeer Mohammad
Program Director
College of Engineering and Information Technology
School of Computer Science and Information Tech
