Master of Data Science | Degree Finder (2022)

  • N/A

    Guaranteed Entry Score - ATAR

  • Duration

    2 years full-time

    or part-time equiv.

  • Start Dates

    January, May and September

  • Location

    North Terrace Campus

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 specialisedintroductory 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 theAustralian Computer Society (ACS).

Learn more

  • 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

Please note: For programs including placements and/or study-related activities in settings where COVID-19 vaccination is mandatory, it is an inherent requirement that all students be fully vaccinated prior to undertaking the placement and/or study-related activity.
For our students who are studying offshore in 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 further information and 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, 3CM246
Deferment Yes - 2 year
Intake January, May and September
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.
Selection Criteria

Graduate entry

Higher Education Study A completed Bachelor's degree and a minimum GPA of 4.5
How to Apply

SATAC Code: 3CM203, 3CM246

SATAC Application Dates

How to Apply

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: $41,000

Where the standard duration of the program is less than one year the full cost of the program is displayed.


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

Find a Scholarship.


Professional Accreditation

The Master of Data Science is accredited by theAustralian 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
  • Two Set B elective courses to the value of 6 units
  • A Research Project course 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

  • COMP SCI 7210 Foundations of Computer Science A
  • COMP SCI 7211 Foundations of Computer Science B
  • MATHS 7027 Mathematical Foundations of Data Science
  • MATHS 7107 Data Taming
  • STATS 7022 Data Science PG
Elective Set 1 (15 units total)

Option 1:
5 courses* (3 units each)


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

  • COMP SCI 7212 Human and Ethical Factors in Computer Science
  • MATHS 7105 Data Literacy
  • COMP SCI 7314 Introduction to Statistical Machine Learning
  • MATHS 7103 Probability and Statistics
  • APP MTH 7124 Decision Science PG
  • COMP SCI 7318 Deep Learning Fundamentals
  • ENG 7111 Internship (6 units)
*Unless exempted international students are required to take ENG 7057 Communication & Critical Thinking in lieu of an elective.
Elective Set 2 (6 units total)
2 courses (3 units each)

  • COMP SCI 7417 Applied Natural Language Processing
  • COMP SCI 7306 Mining Big Data
  • COMP SCI 7317 Using Machine Learning Tools
  • COMP SCI 7209 Big Data Analysis and Project
  • STATS 7107 Statistical Modelling and Inference
  • PHIL 7005 Machine Learning and Artificial Intelligence
Research Project (12 units total)
  • MATHS 7097A Data Science Research Project Part A (6 units)
  • MATHS 7097B Data Science Research Project Part B (6 units)


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

Related Degrees

  • Master of Artificial Intelligence and Machine Learning
  • Master of Computer Science
  • Master of Cyber Security
  • Master of Cyber Security - Online
  • Master of Data Science (Applied)


The core software engineering skills learned along the way have also dramatically expanded my professional opportunities.

Master of Data Science | Degree Finder (1)

James Bockman

Master of Data Science

Faculty of Sciences, Engineering and Technology

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, 4 Oct 2022

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