Master On Campus

Data Science

University of Adelaide

24 months
46000 AUD/year
39000 AUD/year
Tuition fee
Apply date
Start date


The flexible Data Science program structure at University of Adelaide 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 Data Science program at University of Adelaide 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.

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

Programme Structure

Courses include:

  • Computer Science 
  • Mathematical Foundations of Data Science
  • Data Taming
  • Data Science PG
  • Human and Ethical Factors in Computer Science
  • Data Literacy
  • Statistical Machine Learning
  • Probability and Statistics

Key information


  • Full-time
    • 24 months

Start dates & application deadlines


48 alternative credits


On Campus

Academic requirements

GPA admission requirements GPA

Other requirements

General requirements

CRICOS: 107542C

  • 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.
  • Successful completion of an Australian year 12 qualification with a minimum pass in an accepted English language subject

Tuition Fee

To alway see correct tuition fees
  • International

    46000 AUD/year
    Tuition Fee
    Based on the tuition of 46000 AUD per year during 24 months.
  • National

    39000 AUD/year
    Tuition Fee
    Based on the tuition of 39000 AUD per year during 24 months.

Australian Full-fee place: $39,000

Living costs for Adelaide

1328 - 2474 AUD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Data Science
University of Adelaide


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