- How long it takes
- 18 to 24 months
- full time
- Level
- Masters degree (coursework)
- University
- Leads on to
- Data Analyst
- $101,400 (estimate) median pay
- Taught by
- 22 providers
- 7 states and territories
Is this course right for you?
What the Master of Data Science 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 Analyst
Data analysts query, clean and visualise an organisation's data so the people making decisions can see what it shows.
What else you need
Covers the analysis skills used in data analyst roles. Employers usually also look for practical experience with analysis tools.
Median pay$101,400 (estimate)

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
A recognised route into data science. Employers usually look for programming skills and project work on real data alongside the degree.
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.
A step towards this job. What else you need
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 22 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 Caulfield, 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 Western Sydney University (opens in a new tab)

Western Sydney University
Western Sydney University - Parramatta, NSW
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 Griffith University (opens in a new tab)

Griffith University
Brisbane City, Brisbane South (Nathan), Gold Coast, QLD
4.3from 1,317 Google reviews
What students like
- Lecturers and tutors are supportive and approachable
What to weigh up
- Tutors can be slow to reply to emails
- Enrolment and admin can be slow
- Website for Deakin University (opens in a new tab)

Deakin University
Deakin University, Melbourne Burwood, VIC
4.4from 2,192 Google reviews
What students like
- Lecturers are approachable, supportive and knowledgeable
- Support services are helpful for students
What to weigh up
- Enrolment and admin can be slow
- Website for University of Canberra (opens in a new tab)

University of Canberra
UC - Canberra, Bruce, ACT
4.0from 487 Google reviews
What students like
- Staff are helpful and friendly
What to weigh up
- Teaching quality varies between staff
- Website for Flinders University (opens in a new tab)
Flinders University
Flinders City, Tonsley, SA
4.3from 1,059 Google reviews
- 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
What you’ll learn
The main topics covered in the Master of Data Science.
- Statistical modelling
- Programming for data science
- Machine learning
- Databases and data engineering
- Data visualisation
- Data ethics and privacy
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?