Master of Data Science New

A competitive edge in data science

Data is “the new oil” of the 21st century. Big data and data science are revolutionising many fields—from science and engineering to economics, the tech sector, and digital humanities.

Our Master of Data Science places you at the forefront of this new field.

We give you the knowledge and skills to discover patterns and generate insights from complex datasets. Our flexible program structure lets you customise your study to the areas you care about. You’ll be taught by international research leaders in data science and machine learning. Finally, you’ll apply your skills in a research project and/or data science industry internship, to launch you into your next career.

What will you do during a Master of Data Science?

  • Undertake a specialised introductory data science program in your first study period.
  • Build core skills in programming (Python, R, and Julia), mathematics and statistical data science.
  • Learn how data science techniques can drive changes in organisations, industries and communities.
  • Use data to answer questions in your chosen areas of interest.
  • Apply your learning in a significant research project or internship.

How will you study?

This program is able to be studied in either part-time, standard full-time or accelerated mode—enabling you to undertake your studies at a pace and level of commitment that suits you. For further information, see the Degree Structure section.

Where could a Master of Data Science take you?

You might help large or small businesses use data to make more informed decisions in the face of uncertainty. You could analyse data to forecast trends and predict risk in industry, government, or science. Perhaps you’ll come up with innovative big data management systems as a data architect. Whatever you do, you’ll be at the cutting edge of one of the most rapidly-growing fields in the workforce right now.

This program is accredited by the Australian Computer Society (ACS) .

  • Ranked #48 in the world for computer science and engineering^
  • Available to be studied either full-time, part-time or accelerated mode
  • Accredited by the Australian Computer Society (ACS)

^ARWU, 2021

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

Deferment Yes - 2 year
Intake January, May, September
Enquiries Future Students team

Selection Criteria
Graduate entry

Prerequisites SACE Stage 2: Mathematical Methods . IB: Mathematics(SL grade 4 / HL grade 3) MathTrackX is an online bridging program available as a recognised alternative to Mathematical Methods.
Higher Education Study A completed Bachelor's degree and a minimum GPA of 4.5
How to Apply
Apply through SATAC:

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: $39,000


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.


Professional Accreditation

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

Potential careers

Database Coordinator, Systems Analyst, Business Analyst, Business Consultant, Business Data Analyst, Computer Scientist, Data Analyst, Data scientist , Scientific Data Analyst, Financial Systems / Computer Analyst, Information Analyst, Information Technologist, Information and Communications Technologist

Degree Structure

The Master of Data Science is ideal for those students who have a background/qualifications in any professional field and are looking to upskill in this exciting, high-demand area. The curriculum has been designed to include all of the necessary computer science foundations for students to succeed. Students with relevant qualifications or experience can apply for advanced standing*.

To qualify for the Master of Data Science, students must satisfactorily complete a program of study consisting of the following requirements with a combined total of no less than 48 units comprising:

  • Five core courses to the value of 15 units
  • Up to five Set A elective courses to the value of 15 units
  • Up to two Set B elective courses to the value of 6 units
  • Two project courses from either the Research Pathway or Industry Pathway to the value of 12 units

*For further information, please contact one of our friendly program advisors.

**Unless exempted, international students are required to take ENG 7057 Communication & Critical Thinking in lieu of an elective.

Study mode

This program is able to be studied in either part-time, standard full-time or accelerated mode—enabling you to undertake your studies at a pace and level of commitment that suits you*.

  • Accelerated mode – 12 units (4 courses) per trimester
  • Standard full-time mode – 24 units (8 courses) per year
  • Part-time mode – 3 or 6 units (1 or 2 courses) per trimester

You can even choose the study load that works best for you at different times of the year.

Whatever mode you choose, our interactive blend of online and face-to-face learning supports you in fitting your study around other commitments—without compromising on authentic and immersive learning experiences.

*International students please note: accelerated study modes are subject to visa conditions. Please contact one of our friendly program advisors for more information. 

Example Study Plan

Core courses (15 units total)
Students must complete all of the following

Elective Set A (15 units total)

Option 1:
5 courses* (3 units each)


Option 2:
3 courses* (3 units each)
plus ENG 7111 Internship (6 units)

Elective Set B (6 units total)

Option 1:
2 courses (3 units each)


Option 2:
COMP SCI 7208 Programming and Computational Thinking for Data Science (6 units)

Project (12 units total)

Option 1:
Research Pathway

Option 2:
Industry Pathway

Research pathway

  • MATHS 7097A Data Science Research Project Part A (6 units)
  • MATHS 7097B Data Science Research Project Part B (6 units)
Industry pathway
  • MATHS 7098A Data Science Industry Project Part A (6 units)
  • MATHS 7098B Data Science Industry Project Part B (6 units)

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


Students are required to undertake a research or industry-based project, give a public presentation, and write a report on their research. The project is normally completed over two consecutive study periods.


The School of Computer Science at the University of Adelaide 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: Thursday, 25 Nov 2021