Master of Artificial Intelligence and Machine Learning

  • N/A
    Guaranteed Entry Score - ATAR
  • Duration

    2 years full-time
    (or part-time equiv.)
  • Start Dates

    January, May and September
  • Location


Harness AI to shape the future

Artificial intelligence and machine learning make life easier, in all its aspects: healthcare, defence, entertainment, agriculture. Artificial intelligence and machine learning now present the world’s single greatest commercial opportunity. Research indicates that by 2030 it could increase global GDP by up to 14%—a staggering US$15.7 trillion gain. Locally, hundreds of millions are invested towards industry-wide transformation, promoting significant job market growth.

Employment prospects are outstanding. AI and machine learning appointments worldwide have doubled in the past three years, with demand easily outstripping supply.

The Master of Artificial Intelligence and Machine Learning, conducted through the University of ÐÂÀË²ÊÆ±’s world-renowned Australian Institute for Machine Learning (AIML), will position you perfectly to play a senior leadership role in this exciting future.

What will you do?

Our 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
  • a firm grasp of the commercial, organisational and research opportunities presented by machine learning and AI
  • a deep understanding of the disciplines’ ethical and social considerations
  • the chance to gain invaluable real-world experience, through a major research or industry-based project as well as an optional industry internship.
  • extensive industry connections and networks.

You’ll also receive ongoing mentoring, feedback and direction from AIML’s world-class researchers and high-performing industry professionals.

How will you study?

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. For further information, see the Degree Structure section.

Where could a Master of Artificial Intelligence and Machine Learning take you?

You could enhance children’s education with AI-based personal study plans. You might help climate-change-affected farmers feed the world with machine-learning-driven environmental management systems. Perhaps you’ll help extend life expectancy by perfecting tailored health-plan development based on AI analysis of key predictive data.

The degree also provides an outstanding foundation for further advanced study through a machine learning or AI PhD.




  • Strong links with industry and research
  • Ranked #7 in the world for Artificial Intelligence#
  • Home of the world-leading Australian Institute of Machine Learning


#US News Best Global Universities, subject rankings, 2023

Thinking of studying soon?

Study at the new ÐÂÀË²ÊÆ± University in 2026

The University of ÐÂÀË²ÊÆ± and the University of South Australia are combining their strengths to create a new university for the future, ÐÂÀË²ÊÆ± University, opening in January 2026.
From 4 August 2025, the University of ÐÂÀË²ÊÆ± and University of South Australia will no longer be acccepting applications for new students.
Apply now to .

Entry Requirements

Choose your applicant type to view the relevant admissions information for this program.
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Before applying make sure you understand the eligibility and entry requirements for your chosen degree.

Look out for any prerequisites or assumed knowledge subjects. Some degrees also have additional entry requirements like interviews and auditions.

Domestic applicants

SATAC Code 3CM272, 3CM248
Deferment Yes - 2 year
Intake January, May and September
Prerequisites SACE Stage 2: Mathematical Methods . IB: Mathematics: Applications and Interpretations (HL) or Mathematics: Analysis and Approaches (SL) MathTrackX is an online bridging program available as a recognised alternative to Mathematical Methods.
Selection Criteria
Graduate entry

Higher Education Study A completed Bachelor degree and a minimum GPA of 4.5.

Fees and Scholarships

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Domestic applicants

Indicative annual tuition fees
Commonwealth-supported place: $8,750

Where the standard duration of the program is less than one year the full cost of the program is displayed.

Successful domestic applicants to the Master of Artificial Intelligence and Machine Learning will have access to a limited number of Commonwealth Supported Places, meaning a reduction of up to 80% off the course fees due to government subsidies. Offer subject to change.

To apply for a Commonwealth Supported Place, please include SATAC code 3CM272 on your SATAC application.

Scholarships

Scholarships are not only for high achievers—they are also available to provide students with an equal opportunity to study at university, no matter where they live or what their financial situation might be.

Scholarships are available to both new and continuing students. We encourage students to apply for any scholarships for which they may be eligible.

To browse scholarships offered by the University, visit:

To explore scholarships offered by organisations external to the University, visit: External Scholarships