Graduate Diploma in Data Science

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:

  • 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. 

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.

Hear from our students

  • Ranked #48 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, 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.
From 30 June 2023, in accordance with Australian government requirements, the University will be returning to face-to-face teaching for all students where it is safe and practical to do so. For students with circumstances where it would not be practical or safe to travel to Australia, exemptions may apply. Students are encouraged to regularly check Study in 2023 and International Student Covid-19 FAQ for information and updates.

Choose your applicant type to view the relevant admissions information for this program.
I am a:

Domestic applicants

SATAC Code 3GD124
Deferment Yes - 2 year
Intake January, May and September
Prerequisites SACE Stage 2: Mathematical Methods . IB: Mathematics: Applications and Interpretations (HL) or Mathematics: Analysis and Approaches (SL)

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

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 to potential and currently enrolled students.

Find a Scholarship.


Potential careers

Business Data Analyst, Computer Programmer, Computer Scientist, Data Analyst, Data scientist , Scientific Data Analyst, Financial Systems / Computer Analyst, Systems Analyst, Information Analyst

Degree 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.

Academic Program Rules

The Calendar is a comprehensive handbook of the University's academic program rules.

Graduate Diploma in Data Science

Example Study Plan

Core course (9 units total)
Students must complete all of the following

Electives (15 units total)

Option 1:
5 courses* (3 units each)


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

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


I wanted to upskill in the data analytics field and my prior industry experience with data management helped me realize that I enjoy the subject. I appreciate the flexibility the degree offers.

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: Monday, 30 Jan 2023