University of Adelaide
Master of Artificial Intelligence and Machine Learning
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 24 months
- Course Type: Master's
It equips students with advanced technical skills and ethical understanding, preparing them for leadership roles in AI in sectors such as healthcare, defense, entertainment and agriculture.
Course overview
The Master of Artificial Intelligence and Machine Learning is driven by AIML’s cutting-edge research and extensive industry links, spanning diverse international sectors - from health, medical technology, defence and security to environment and natural resources.
This degree will equip you with highly advanced technical skills in machine learning and AI application development, including in specialist areas such as deep learning and visual question answering. You will gain a firm grasp of the commercial, organisational and research opportunities presented by machine learning and AI. You will also gain a deep understanding of the disciplines’ ethical and social considerations. Lastly, the chance to gain invaluable real-world experience through a major research or industry-based project and an optional industry internship, extensive industry connections and networks.
CSP Subsidised Fees Available
This program has a limited quota of Commonwealth Supported Places (CSP). The indicative CSP price is calculated based on first year fees for EFT. The actual fee may vary if there are choices in electives or majors.
Key facts
What you will study
To qualify for the degree of Master of Artificial Intelligence and Machine Learning, students must satisfactorily complete a program of study consisting of the following requirements with a combined total of not less than 48 units:
- Core courses to the value of 12 units
- A research or industry-based project to the value of 12 units
- Elective courses to the value of 24 units
All of the following courses must be completed:
- Foundations of Computer Science A
- Foundations of Computer Science B
- Concepts in Artificial Intelligence and Machine Learning
- Mathematical Foundations of Data Science
Study mode
This program is able to be studied in either part-time, standard full-time or accelerated mode - enabling you to undertake your studies at a pace and level of commitment that suits you.
- Standard Full-time Mode – 24 units (eight courses) per year.
- Accelerated Mode – 12 units (four courses) per trimester.
- Part-time Mode – three or six units (one or two courses) per trimester.
Entry requirements
Applicants must have a bachelor's degree and a minimum GPA of 4.5
Outcomes
Career outcomes
Graduates of this program have gone on to roles such as:
- Computational Scientist
- Computer Programmer
- Computer Scientist
- Digital Strategist
- Software Specialist
- IT Manager
- IT Programmer
- Diagnostic Technician
- Machine Learning Engineer
Fees and CSP
Indicative annual tuition fee in 2025: $8,750 (Commonwealth Supported Place)
A student’s annual fee may vary in accordance with:
- The number of units studied per term.
- The choice of major or specialisation.
- Choice of units.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
Student fees shown are subject to change. Contact the university directly to confirm.
Commonwealth Supported Places
The Australian Government allocates a certain number of CSPs to the universities each year, which are then distributed to students based on merit.
If you're a Commonwealth Supported Student (CSS), you only need to pay some of your tuition fees. The student contribution amount is the balance once the government subsidy is applied. This means your costs are much lower.
Limited CSP spaces are offered to students enrolled in selected postgraduate courses.
Your student contribution amount is:
- Calculated per unit you're enrolled in.
- Depending on the study areas they relate to.
- Reviewed and adjusted each year.
HECS-HELP loans are available to CSP students to pay the student contribution amount.