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.

Entry Requirements

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:

Domestic applicants

SATAC Code 3CM203
Deferment Yes - 2 year
Intake February and July
Enquiries Future Students team

Selection Criteria
Graduate entry

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.
How to Apply
SATAC Code: 3CM203

Fees and Scholarships

Choose your applicant type to view the relevant fees and scholarships information for this program.
I am a:

Domestic applicants

Indicative annual tuition fees
Australian Full-fee place


These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.

Find a Scholarship.

HELP Loans

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:


Professional Accreditation

The Master of Data Science is accredited by the Australian Computer Society.

Potential careers

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

Degree Structure

The 48-unit master's program normally takes four semesters of full-time study. However, credit in core courses to the value of 12 units on account of successful completion of the MicroMasters in Big Data with a minimum overall score of 65 per cent, is possible. As part of the 48 units, students are required to undertake a research project, deliver a public presentation and write a report on their research. The project is normally completed over two consecutive semesters.

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

Core Courses
Research Project
Electives, choose two of:

Study plans are available on the Faculty of Engineering, Computer and Mathematical Sciences website.


Research project, written assignments, practical work and/or examinations.


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