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.
Advance your career in Data Science
Data is everywhere, in every industry. Make your next career move and study with the experts in Adelaide's world-class innovation district.
* US Global Rankings, 2023
^ ARWU, 2022
Entry Requirements
Choose your applicant type to view the relevant admissions
information for this program.
I am a:
Before applying make sure you understand the eligibility and entry requirements for your chosen degree.
Look out for any prerequisites or assumed knowledge subjects. Some degrees also have additional entry requirements like interviews and auditions.
Domestic applicants
| SATAC Code | 3GD135, 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
| 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 |
Commonwealth-supported place: $7,440
|
Where the standard duration of the program is less than one year the full cost of the program is displayed.
Successful domestic applicants to the Graduate Diploma in Data Science will have access to a limited number of Commonwealth Supported Places, meaning a reduction of up to 80% off the course fees due to government subsidies. Offer subject to change.
To apply for a Commonwealth Supported Place, please include SATAC code 3GD135 on your SATAC application.
Scholarships
Scholarships are not only for high achievers鈥攖hey are also available to provide students with an equal opportunity to study at university, no matter where they live or what their financial situation might be.
Scholarships are available to both new and continuing students. We encourage students to apply for any scholarships for which they may be eligible.
To browse scholarships offered by the University, visit:
To explore scholarships offered by organisations external to the University, visit: External Scholarships
Careers
Potential careers
Graduates of this program have gone on to roles such as:
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 .
**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*.
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Accelerated mode – 12 units (4 courses) per trimester
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Standard full-time mode – 24 units (8 courses) per year
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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 for more information.
Academic Program Rules
The is a comprehensive handbook of the University's academic program rules.
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) OR Option 2: 3 courses* (3 units each) plus ENG 7111 Internship (6 units) |
|
Related Degrees
Further Study
Testimonial
I wanted to study in a location which is student friendly, serene environment, and growing. This degree lays a very strong foundation to achieve a data science career.
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Last updated: Thursday, 12 Sep 2024