Master of Data Science
A competitive edge in data science
Big data and data science is an emerging area of necessity for many fields—from science and engineering to economics and digital humanities.
Our Master of Data Science explores how data is changing our world. We give you the knowledge and skills to contribute in the areas you care about.
What will you do?
- Undertake a specialised introductory IT program in your first semester.
- Build core skills in programming, mathematics and data science.
- Learn how data science techniques can drive changes in organisations, industries and communities.
- Advance your abilities in chosen areas of interest.
- Combine and apply your learning in a significant project.
Where could it take you?
You might help big businesses use data to make more informed decisions in the face of uncertainty. You could analyse data from apps to drive UX updates. Perhaps you’ll come up with innovative management systems as a data architect.
This program is accredited by the Australian Computer Society (ACS) – please see the Careers section below for more accreditation and careers information.
For our students who are studying offshore in 2021 and 2022, the University will continue to offer high-quality access to the learning resources remotely for most programs. This includes all lectures, tutorials and other support material. Students will be advised in advance if there are course components that cannot be provided in remote mode and, wherever possible, offered alternative courses. Please refer to the COVID-19 FAQ page for a list of programs where in-person attendance is required.
Choose your applicant type to view the relevant admissions
information for this program.
I am a:
|Deferment||Yes - 2 year|
|Intake||February and July|
|Enquiries||Future Students team|
|Prerequisites||SACE Stage 2 Mathematical Methods (or equivalent). MathTrackX is an online bridging program available as a recognised alternative to Mathematical Methods.|
|Higher Education Study||Bachelor degree or equivalent with a minimum GPA of 4.5. Advanced standing of 12 units may be granted to eligible applicants who have successfully completed the Big Data MicroMasters program with a minimum overall score of 65 percent.|
|Intake||February and July|
English Language Requirements
|Australian Year 12||Successful completion of an Australian year 12 qualification with a minimum pass in an accepted English language subject|
|English Tests accepted by the University of Adelaide||
|Qualifications that meet minimum English requirements||A range of alternative qualifications may meet the University’s minimum English requirements|
Academic Entry RequirementsMore Information
|Tertiary Qualifications||Bachelor degree or equivalent with a minimum GPA of 4.5. Advanced standing of 12 units may be granted to eligible applicants who have successfully completed the Big Data MicroMasters program with a minimum overall score of 65 percent.|
|Australian Year 12||SACE Stage 2 Mathematical Methods (or equivalent). MathTrackX is an online bridging program available as a recognised alternative to Mathematical Methods.|
|International Qualifications||SACE Stage 2 Mathematical Methods (or equivalent)|
Fees and Scholarships
Choose your applicant type to view the relevant fees and scholarships information for this program.
I am a:
|Indicative annual tuition fees (24 units)||International student place: $46,000|
These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.
This program is an Australian full-fee program. The Commonwealth Government has a HELP Loan called FEE-HELP that you may be eligible for to pay part or all of your tuition fees.
FEE-HELP eligibility criteria and further information is available at: https://www.adelaide.edu.au/student/finance/assistance/help/fee/
Business Consultant, Database Coordinator, Engineer, Financial Systems / Computer Analyst, Scientific Data Analyst, Systems Analyst, Information Analyst, Information Technologist, Information and Communications Technologist, Business Analyst, Business Data Analyst, Computer Scientist, Data Analyst, Data scientist
The Masters program includes:
- eight (27 units) core foundation courses
- two (6 units) electives
- three (15 units) research courses
Academic Program Rules
The Calendar is a comprehensive handbook of the University's academic program rules.
Example Study Plan
|Electives, choose two of:||
Study plans are available on the Faculty of Engineering, Computer and Mathematical Sciences website.
The ideal location of the University in the growing city of Adelaide makes it an attractive destination for international students. The University has customised study plans for each degree and provides ample support if you want to further adjust it as per your learnings. The School of Computer Science at UniAdelaide produces world class research each year and is led by not just academic leaders but also industry experts.
The University of Adelaide is committed to regular reviews of the courses and programs it offers to students. The University of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.
Last updated: Tuesday, 14 Sep 2021