Master of Artificial Intelligence and Machine Learning New

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 Adelaide’s world-renowned Australian Institute of 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.





  • Ranked #3 in the world for computer vision research and #25 for automation and control^
  • Available to be studied either full-time, part-time or accelerated mode
  • Undertake a major research project supervised by world-class academic staff

^CS Rankings, 2020 and ARWU, 2021

Entry Requirements

Please note: For programs including placements and/or study-related activities in settings where COVID-19 vaccination is mandatory, it is an inherent requirement that all students be fully vaccinated prior to undertaking the placement and/or study-related activity.
For our students who are studying offshore in 2022, the University will continue to offer high-quality access to the learning resources remotely for most programs. This includes all lectures, tutorials and other support material. Students will be advised in advance if there are course components that cannot be provided in remote mode and, wherever possible, offered alternative courses.
Please refer to the COVID-19 FAQ page for further information and a list of programs where in-person attendance is required.

Choose your applicant type to view the relevant admissions information for this program.
I am a:

Domestic applicants

SATAC Code 3CM216, 3CM248
Deferment Yes - 2 year
Intake January, May, September
Prerequisites SACE Stage 2: Mathematical Methods . IB: Mathematics(SL grade 4 / HL grade 3) 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.
How to Apply
SATAC Code: 3CM216, 3CM248


Fees and Scholarships

Choose your applicant type to view the relevant fees and scholarships information for this program.
I am a:

Domestic applicants

Indicative annual tuition fees
Australian Full-fee place: $39,000

Scholarships

These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.

Find a Scholarship.

Careers

Potential careers

Computational Scientist, Computer Programmer, Computer Scientist, Digital Strategist, Software Specialist, IT Manager, IT Programmer, Diagnostic Technician

Degree Structure

The Master of Artificial Intelligence and Machine Learning is ideal for students who have a background/qualifications in any professional field and are looking to upskill in this exciting, high-demand area. The curriculum has been designed to include all of the necessary computer science foundations for students to succeed. Students with relevant qualifications or experience can apply for advanced standing*.

To qualify for the 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 no less than 48 units comprising:

  • Four core courses to the value of 12 units
  • Up to five** elective set A courses to the value of 15 units
  • Three courses from elective set B to the value of 9 units
  • Two project courses from either the Research Pathway or Industry Pathway to the value of 12 units

*For further information, please contact one of our friendly program advisors.

**Unless exempted international students are required to take ENG 7057 Communication & Critical Thinking in lieu of an elective.


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*.

  • Accelerated mode – 12 units (4 courses) per trimester
  • Standard full-time mode – 24 units (8 courses) per year
  • Part-time mode – 3 or 6 units (1 or 2 courses) per trimester
You can even choose the study load that works best for you at different times of the year.

Whatever mode you choose, our interactive blend of online and face-to-face learning supports you in fitting your study around other commitments—without compromising on authentic and immersive learning experiences.

*International students please note: accelerated study modes are subject to visa conditions. Please contact one of our friendly program advisors for more information.

Example Study Plan

Core course (12 units total)
Students must complete all of the following

Elective Set A (15 units total)

Option 1:
5 courses* (3 units each)

OR

Option 2:
3 courses* (3 units each) plus ENG 7111 Internship (6 units)


*Unless exempted international students are required to take ENG 7057 Communication & Critical Thinking in lieu of an elective.
Elective Set B (9 units total)
Students must choose 3 courses

Project (12 units total)

Option 1:
Research Pathway

Option 2:
Industry Pathway

Research pathway

COMP SCI 7205A Artificial Intelligence and Machine Learning Research Project Part A
COMP SCI 7205B Artificial Intelligence and Machine Learning Research Project Part B
OR

Industry pathway
COMP SCI 7206A Artificial Intelligence and Machine Learning Industry Project Part A
COMP SCI 7206B Artificial Intelligence and Machine Learning Industry Project Part B


Study plans are available on the Faculty of Engineering, Computer and Mathematical Sciences website.

Testimonial

The degree has provided me with opportunities to challenge the conventional and develop innovative design solutions that consider place, people and environment.

The University of Adelaide is committed to regular reviews of the courses and programs it offers to students. The University of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.

Last updated: Monday, 17 Jan 2022