Master of Data Analytics
2025 Deakin University Handbook
| Year | 2026 course information |
|---|---|
| Award granted | Master of Data Analytics |
| Deakin course code | S777 |
| Course Credit Points | 16 |
| Course version | 1 |
| Faculty | Faculty of Science, Engineering and Built Environment |
| Course Information | For students who commenced from 2016 to 2018 |
| Final Intake | Offered to continuing students only. The final intake to this course was in teaching period 1, 2018. Students should contact Student Central for course, course map and enrolment information. |
| Duration | 1.5-2 years full-time or part-time equivalent depending on your entry point |
| CRICOS code | 089186E |
| Australian Qualifications Framework (AQF) recognition | The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 9 |
Course sub-headings
- Course overview
- Indicative student workload
- Participation requirements
- Mandatory student checks
- Alternative exits
- Course rules
- Work experience
- Other learning experiences
- Fees and charges
Course overview
Deakin’s Master of Data Analytics prepares students for professional employment across all sectors. The sheer volume and complexity of data already at the fingertips of businesses and research organisations gives rise to challenges that must be solved by tomorrow’s graduates. 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 will 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.
Indicative student workload
You can expect to participate in a range of teaching activities each week. This could include classes, seminars, practicals and online interaction. You can refer to the individual unit details in the course structure for more information. You will also need to study and complete assessment tasks in your own time.
Participation requirements
Elective units may be selected that include compulsory placements, work-based training, community-based learning or collaborative research training arrangements.
Reasonable adjustments to participation and other course requirements will be made for students with a disability. More information available at Disability support services.
Mandatory student checks
Any unit which contains work integrated learning, a community placement or interaction with the community may require a police check, Working with Children Check or other check.
Alternative exits
| Graduate Certificate of Data Analytics (S576) | |
| Graduate Diploma of Data Science (S677) |
Course rules
To complete the Master of Data Analytics you must pass 16 credit points. This includes:
- DAI001 Academic Integrity and Respect at Deakin (0-credit-point compulsory unit) in your first study period
- Completion of STP050* Academic Integrity and Respect at Deakin (0-credit-point compulsory unit)
- Four (4) core foundation units (MIS770, MIS782, SIT772, SIT718)*
- Four (4) core analytics units (MIS771, MIS772, SIT719, SIT720)
- Four (4) ‘Data’ discipline specific units (SIT741, SIT742, SIT743, SIT744)
- Four (4) credit points of core project/thesis/placement units from the list provided
* Core foundation units for students entering with a degree from a different discipline. Students who are entering with a related academic/professional background may be eligible for credit transfer and recognition for up to 4 of the foundation units. Please contact your course advisor for more detailed information.
Most units are equal to one credit point. As a full-time student you will study four credit points per trimester and usually undertake two trimesters per year.
Students are required to meet the University's academic progress and conduct requirements.
Work experience
You may have an opportunity to undertake a placement as part of your course. For more information, please visit deakin.edu.au/sebe/wil.
Course duration
You may be able to study available units in the optional third trimester to fast-track your degree, however your course duration may be extended if there are delays in meeting course requirements, such as completing a placement.
Other learning experiences
You may choose to use one of your elective units to undertake an internship or participate in an overseas study tour to enhance your global awareness and experience.
Fees and charges
Tuition fees will vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study, your study load and/or unit discipline.
Your tuition fees will increase annually at the start of each calendar year. All fees quoted are in Australian dollars ($AUD) and do not include additional costs such as textbooks, computer equipment or software, other equipment, mandatory checks, travel, consumables and other costs.
For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current students website.
Further information
Contact Student Central for assistance in course planning, choosing the right units and explaining course rules and requirements. Student Central can also provide information for a wide range of services at Deakin. To help you understand the University vocabulary, please refer to our Enrolment codes and terminology page.