- How long it takes
- 18 to 24 months
- full time
- Level
- Masters degree (coursework)
- University
- Leads on to
- Machine Learning Engineer
- $127,400 (estimate) median pay
- Taught by
- 9 providers
- 4 states and territories
Is this course right for you?
What the Master of Artificial Intelligence asks of you, and what you might want to check first.
Before you start
Each provider sets its own entry requirements, so check the ones you are considering.
Where this course can take you
Jobs this qualification is a recognised route into, and the study that can follow it.
Jobs you can do with it

Data Scientist
Data scientists build the statistical models and machine learning systems that forecast demand, sort customers and automate decisions for an organisation.
What else you need
Covers the modelling and analysis used in data science. Employers usually also look for experience applying it to real data sets.
Median pay$124,800 (estimate)

Machine Learning Engineer
Machine learning engineers build the systems that turn data into predictions, then keep those models working reliably once real users depend on them.
What else you need
A recognised route into machine learning roles. Employers usually look for strong programming skills and project work alongside the degree.
Median pay$127,400 (estimate)
Pay is the median for everyone in the job, and “In demand” means the job is on the national shortage list. Pay marked as an estimate is our own analysis, not a published figure.
Where you can study this course
There are 9 places you can study this course. When you compare them, check they teach it the way you want to study, how far you'd be from a campus, what it will cost you and what past students say about the teaching and support. They're listed by how often people search for them, and none of them pays to be here or to move up.
- Website for Monash University (opens in a new tab)

Monash University
Monash Clayton, VIC
4.3from 1,955 Google reviews
What students like
- Staff are supportive and resolve issues quickly
What to weigh up
- Admin replies can be slow
- Feedback from teaching staff can be limited
- Website for Curtin University (opens in a new tab)

Curtin University
Curtin University of Technology, WA
4.2from 1,745 Google reviews
What students like
- Staff are helpful and welcoming
- Support services help students through hard times
What to weigh up
- Enquiries can take a while to answer
- Website for Western Sydney University (opens in a new tab)

Western Sydney University
ATMC- Melbourne, Western Sydney University - Parramatta, NSW, VIC
4.2from 1,872 Google reviews
What students like
- Staff are friendly and supportive
- Good academic experience and learning
What to weigh up
- Admin can be slow to respond
- Website for Macquarie University (opens in a new tab)
Macquarie University
Macquarie University Wallumattagal Campus at North Ryde, NSW
4.4from 1,202 Google reviews
What students like
- Lecturers care and help students understand
What to weigh up
- Enrolment and admin can be slow
- Student support can be hard to reach
- Website for La Trobe University (opens in a new tab)

La Trobe University
Melbourne (Bundoora), VIC
4.3from 1,101 Google reviews
What students like
- Lecturers are friendly and supportive
What to weigh up
- Admin and support can be slow to respond
- Some find courses light on practical content
- Website for Queensland University of Technology (opens in a new tab)

Queensland University of Technology
Gardens Point, QLD
4.5from 896 Google reviews
What students like
- Students are friendly and approachable
What to weigh up
- Enrolment and admin can be slow
- Some find staff less helpful
- Website for University of Technology Sydney (opens in a new tab)
University of Technology Sydney
University of Technology Sydney (City Campus), NSW
4.2from 906 Google reviews
What students like
- Lecturers and support staff are approachable and helpful
What to weigh up
- Admin replies can be slow
Royal Melbourne Institute of Technology
RMIT University - 124 Latrobe Street, Melbourne, VIC
What you’ll learn
The main topics covered in the Master of Artificial Intelligence.
- Machine learning and deep learning
- Natural language processing
- Computer vision
- Programming for AI systems
- AI ethics and governance
Questions to ask before you enrol
Providers run this course differently, so the answers change from one to the next.
- When is the next intake, and how many are there each year?
- What is the total cost, including materials, checks and any placement costs?
- Can I study part time or online, and how does that change the length?
- Do the units count towards a higher qualification if I go on to study further?