Master of Artificial Intelligence (Online)
Course code: MC-AIMO
June, August, October
AUD $30,480 (2026 indicative first year fee). Commonwealth Supported Places (CSPs) are not available
June, August, October
AUD $30,480 (2026 indicative first year fee)
IELTS 6.5: with no band less than 6.0
Entry requirements
Domestic student
You're considered a domestic student if you're an Australian or New Zealand citizen, an Australian permanent resident, or have a permanent humanitarian visa. This applies even if you're studying abroad or have dual Australian citizenship.
International student
You are considered an international student if you are not a citizen or permanent resident of Australia or New Zealand.
Admission criteria
In order to be considered for entry into this course, you must have:
- An undergraduate degree (or equivalent) in Information Technology or a related field with a Weighted Average Mark (WAM) of at least 65% (or equivalent) or
- An undergraduate degree (or equivalent) in any discipline, with a Weighted Average Mark (WAM) of at least 65% (or equivalent) and at least two years of relevant full-time work experience (or equivalent) or
- At least six years of relevant full-time work experience (or equivalent).
Non-technical background
You need to be ready to learn programming, mathematical reasoning, and delve into technical content.
Technical background
If you're already using AI, are familiar with coding and meet all other requirements, you may be awarded up to 50 points of credit.
Where degree levels are referenced, levels align with the Australian Qualifications Framework (AQF). Applications are assessed against these standards.
Where our admission criteria includes a minimum Weighted Average Mark (WAM) and/or specific subject criteria, these are based on University of Melbourne grades and subjects. If you've studied elsewhere, we'll assess your relevant prior studies and equivalent grades. Your final WAM may be adjusted depending on your previous institution's accreditation, subject grading, and pass marks.
English language requirements
All applicants to the University of Melbourne must satisfy the English language requirements. This may be achieved in a number of ways, including recognised previous study taught and assessed entirely in English or an approved English language test. If you are from a non-English speaking background, the required standard of English for this degree is one of the following English proficiency test scores:
If you need to undertake an English language test, you must meet one of the scores* below:
| Cards (stat) | |
|---|---|
|
IELTS 6.5 |
with writing 6.0; speaking 6.0; reading 6.0; listening 6.0 |
|
TOEFL 81 |
with writing 19; speaking 19; reading 16; listening 16 |
|
PEARSON 64 |
with writing 60; speaking 60; reading 60; listening 60 |
|
CAMBRIDGE 169 |
with writing 170; speaking 179; reading 163; listening 163 |
|
LANGUAGECERT ACADEMIC 67 |
with writing 64; speaking 70; reading 60; listening 57 |
|
MET 58 |
with writing 57; speaking 48; reading 55; listening 56 |
*Accepted tests: IELTS (Academic English only); TOEFL Internet-based test; Pearson Test of English Academic; Cambridge English: Advanced/Certificate of Advanced English (CAE); LanguageCert Academic; Michigan English Test. If a test displays N/A, it is not accepted for this course.
About selection
When assessing (and where relevant, ranking) applications, the Selection Committee will consider:
- Prior academic performance
The Selection Committee may seek further information to clarify any aspect of an application in accordance with the Selection and Admission Policy.
Meeting the minimum entry requirements for this course does not guarantee selection.
Additional information
For any additional information or assistance with your application, contact an Online Education Adviser by email or telephone (1300 127 494).
Advanced Standing
Prior studies may be credited towards your degree and potentially reduce the duration of your course. This is known as Advanced Standing (also known as credit or recognition of prior learning).
Recognition of prior learning (RPL), also known as advanced standing may be available for those with relevant study or professional work experience.
Applicants with the following may be awarded up to 50 points of credit:
- An undergraduate degree in a related field with a weighted average mark of at least 65% or equivalent and two years of relevant full-time work experience or
- A four-year Honours degree in Information Technology with a weighted average mark of at least 65% or equivalent or
- A Graduate Certificate in Artificial Intelligence or equivalent.
Want to know if your study or work experience qualifies for RPL?
Related study field
You may be eligible if you have completed a qualification with strong technical or information systems content. Example study areas include:
- Applied Mathematics
- Artificial Intelligence or Machine Learning
- Bioinformatics or Computational Biology
- Computational Science or Computer Engineering
- Data Science or Statistics
- Engineering (Software, Electrical, Mechatronics, Network or Robotics)
- Information Technology or Telecommunications
- Physics.
Relevant work experience
Professional experience may lead to RPL where your role involved technical computing, data analysis, software development, use of AI or machine learning tools. Examples of relevant roles include:
- AI or Machine Learning Engineer
- Data Analyst or Data Scientist
- Database Manager
- IT Manager
- Network or Systems Engineer, Systems Analyst
- Product or Operations Manager
- Research Assistant (computational focus)
- Software Developer or Software Engineer.
Applicants may be required to provide a CV or other supporting documentation as part of the assessment process.
For additional, in-depth details on entry requirements and admissions for this course, refer to the University Handbook.
Need more information on the University’s general entry requirements?