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University of Adelaide

  • 28% international / 72% domestic

Master of Data Science

  • Masters (Coursework)

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.

Key details

Degree Type
Masters (Coursework)
Duration
2 years full-time
Course Code
3CM246, 3CM275, 107542C
Intake Months
May, Jan, Sep
International Fees
$51,000 per year / $102,000 total

About this course

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 data science industry internship, to launch you into your next career.

What will you do during a Master of Data Science?

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) .











* US Global Rankings, 2023
^ ARWU, 2022

Study locations

North Terrace

North Terrace Campus

Course 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 not less than 48 units comprising:

  • Core courses to the value of 15 units
  • A research project to the value of 12 units
  • Elective courses to the value of 21 units
  • 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.

^Further information on advanced standing is available here.

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

Graduate outcomes

Graduate satisfaction and employment outcomes for Computing & Information Systems courses at University of Adelaide.
62.8%
Overall satisfaction
76.5%
Skill scale
66.7%
Teaching scale