Master of Artificial Intelligence and Machine Learning
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 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.
#US News Best Global Universities, subject rankings, 2023
Entry Requirements
Choose your applicant type to view the relevant admissions
information for this program.
I am a:
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 | 3CM248, 3CM272 |
|---|---|
| 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
| Higher Education Study | A completed Bachelor degree and a minimum GPA of 4.5. |
|---|
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Admissions Transparency Data
Student Profile
Applicant background Semester one/Full year intake 2023 Number of students Percentage of all students International students 25 89.3% All students 28 100.0%
Ready to Apply?
Find out more about the application process and start your studies at the University of Adelaide.
Be sure to check the critical dates to avoid missing application deadlines.
ApplyFees and Scholarships
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Domestic applicants
| Indicative annual tuition fees |
Commonwealth-supported place: $8,945
|
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: University Scholarships
To explore scholarships offered by organisations external to the University, visit: External Scholarships
Careers
Potential careers
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
Degree Structure
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, comprising:
- 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
- Unless exempted international students are required to take ENG 7057 Communication & Critical Thinking in lieu of an elective.
*For further information, please contact one of our friendly program advisors.
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
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
To satisfy the requirements for core courses, students must complete courses to the value of 12 units.
| All of the following courses must be completed: | COMP SCI 7210 Foundations of Computer Science A COMP SCI 7211 Foundations of Computer Science B COMP SCI 7327 Concepts in Artificial Intelligence and Machine Learning MATHS 7027 Mathematical Foundations of Data Science |
To satisfy the requirements for Research or Industry Project, students must complete courses to the value of 12 units.
Research Pathway
| All of the following courses must be completed. | COMP SCI 7205A Artificial Intelligence and Machine Learning Research Project Part A COMP SCI 7205B Artificial Intelligence and Machine Learning Research Project Part B |
Industry Pathway
| All of the following courses must be completed. | COMP SCI 7206A Artificial Intelligence and Machine Learning Industry Project Part A COMP SCI 7206B Artificial Intelligence and Machine Learning Industry Project Part B |
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Testimonial
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Last updated: Thursday, 18 Apr 2024
