Key facts
Duration
Locations
Key dates
Direct applications to Deakin for Trimester 2 2025 close 22 June 2025
Direct applications to Deakin for Trimester 3 2025 close 26 October 2025
Current Deakin Students
To access your official course details for the year you started your degree, please visit the handbook
Course overview
Deakin’s Master of Data Analytics prepares students for professional employment across all sectors as data analytics specialists in either technology-related or research and development (R&D) related positions. Become a data analytics specialist capable of using data to learn insights and support decision making.
Modern organisations are placing increasing emphasis on the use of data to inform day-to-day operations and long-term strategic decisions.
Throughout your studies you’ll learn to understand the various origins of data to be used for analysis, combined with methods to manage, organise and manipulate data within regulatory, ethical and security constraints. You’ll develop specialised skills in categorising and transferring raw data into meaningful information for the benefit of prediction and robust decision-making.
As a graduate, your knowledge, skills and competencies in modern data science and statistical analysis will be highly valued by employers seeking greater efficiencies and competitive advantage through data insights.
Units in the course may include assessment hurdle requirements.
Read MoreCourse information
- Award granted
- Master of Data Analytics
- Year
2016 course information
- Deakin code
- S777
- CRICOS code?
- 089186E
Core
Year 1 - Trimester 1
Year 1 - Trimester 2
Year 2 - Trimester 1
Year 2 - Trimester 2
Four (4) course grouped elective units
* offered in Trimester 2 2016. From 2017, offered in Trimester 1 and Trimester 2.
Electives
Select the remaining 4 credit points from a range of level 7 SIT course grouped elective units comprising Project units, Industry Placement and/or level 7 elective units.
Intakes by location
The availability of a course varies across locations and intakes. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Check each intake for up-to-date information on when and where you can commence your studies.
Entry requirements
Scholarship options
A Deakin scholarship might change your life. If you've got something special to offer Deakin – or you just need the financial help to get you here – we may have a scholarship opportunity for you.
Postgraduate bursary
If you’re a Deakin alumnus commencing a postgraduate award course, you may be eligible to receive a 10% reduction per unit on your enrolment fees.
Apply now
To apply, create an account in the Deakin Application Portal, enter your personal details and education experience, upload supporting documents and submit. Need help? Play this video, or contact one of our friendly future student advisers on 1800 693 888 or submit an online enquiry.
For more information on the application process and closing dates, see the How to apply webpage. If you're still having problems, please contact us for assistance.
Pathways
Alternative exits
- Graduate Certificate of Data Analytics (S576)
- Graduate Diploma of Data Science (S677)
Contact information
Faculty of Science, Engineering and Built Environment
School of Information Technology
Tel 03 9244 6699
sebe@deakin.edu.au
www.deakin.edu.au/sebe/it
Events Explore more events
We invite industry speakers to our classrooms to show our students what they can do with the knowledge of data analysis and optimisation in real-life.
Vicky Mak
Senior lecturer, School of Information Technology