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University of Adelaide

  • 28% international / 72% domestic

Graduate Diploma in Data Science

  • Graduate Diploma

Data science is a driving force throughout society the world over-from business and industry to health science and social justice.

Key details

Degree Type
Graduate Diploma
Duration
1 year full-time
Course Code
3GD124, 107543B
Intake Months
Sep, May, Jan
International Fees
$51,000 per year / $51,000 total

About this course

Drive higher-level data insight

Data science is a driving force throughout society the world over-from business and industry to health science and social justice. It is currently one of the fastest-growing professions in Australia, with matching demand for data scientists in the workforce.

Data scientists are uncovering trends and preferences, informing policies, and enabling evidence-based solutions to complex problems. Career opportunities abound-and our Graduate Diploma in Data Science will equip you to play a valuable role.

What will you do?

You will:

Supporting the diploma's alignment with real-world workplace practice, all assessment will be project- and assignment-based.

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 it take you?

You'll graduate well prepared to take on senior data science roles in your chosen industry, anywhere around the globe. You will also have the option of completing an additional 24 units of advanced study to obtain your data science Master.

^ARWU, 2022

Study locations

North Terrace

North Terrace Campus

What you will learn

You will:

  • gain deep understanding of data science content, technologies and practices, and how the discipline can inform organisational change
  • build high-level skills in evaluating, developing and applying best-practice analytics tools and techniques-including distributed computing-in real-world settings
  • deepen your awareness of data science's social and ethical aspects
  • develop strong presentation and visualisation skills to effectively communicate data patterns and relationships
  • learn to use data science to solve complex industry and social problems collaboratively and independently-including in your intended or existing domain.

Supporting the diploma's alignment with real-world workplace practice, all assessment will be project- and assignment-based.

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.

Career pathways

You'll graduate well prepared to take on senior data science roles in your chosen industry, anywhere around the globe. You will also have the option of completing an additional 24 units of advanced study to obtain your data science Master.


Hear from our students



  • Ranked #50 in the world for computer science and engineering^
  • Available to be studied either full-time, part-time or accelerated mode
  • Flexible learning with courses taught in intensive and blended mode

^ARWU, 2022





Course structure

The Graduate Diploma in 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 Graduate Diploma in Data Science, students must satisfactorily complete a program of study consisting of the following requirements with a combined total of no less than 24 units comprising:

  • Three core courses to the value of 9 units

  • Up to five elective courses** to the value of 15 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.

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