Graduate Certificate in Data Science New
Launch your career in big data
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 Certificate in Data Science will equip you to play a valuable role.
What will you do?
- gain an understanding of data science content, technologies and practices, and how the discipline can inform organisational change
- build skills in evaluating, developing and applying best-practice analytics tools and techniques, in real-world settings
- expand your awareness of data science’s social and ethical aspects
- develop presentation and visualisation skills to effectively communicate data patterns and relationships
- learn to use data science to solve industry and social problems—including in your intended or existing domain.
Supporting the certificate’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 data science roles in your chosen industry, anywhere around the globe. For students without relevant work experience or prior studies, the Graduate Certificate provides the perfect introduction to data science principles while also laying a strong foundation for further advanced study in the area.
Successful completion of the graduate certificate enables you to gain credit towards our Graduate Diploma and Master in Data Science.
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.
For our students who are studying offshore in 2022, the University will continue to offer high-quality access to the learning resources remotely for most programs. This includes all lectures, tutorials and other support material. Students will be advised in advance if there are course components that cannot be provided in remote mode and, wherever possible, offered alternative courses.
Please refer to the COVID-19 FAQ page for further information and a list of programs where in-person attendance is required.
Choose your applicant type to view the relevant admissions
information for this program.
I am a:
|Deferment||Yes - 2 year|
|Intake||January, May, September|
|Prerequisites||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.|
|Higher Education Study||A completed Bachelor's degree OR relevant work experience of at least 3 years in Data Science or cognate roles OR a Diploma or above in cognate discipline plus 2 years relevant work experience in Data Science or cognate roles.|
|Intake||January, May and September|
|Australian Year 12||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.|
English Language Requirements
|Australian Year 12||Successful completion of an Australian year 12 qualification with a minimum pass in an accepted English language subject|
|English Tests accepted by the University of Adelaide||
|Qualifications that meet minimum English requirements||A range of alternative qualifications may meet the University’s minimum English requirements|
Academic Entry RequirementsDetailed information on international qualifications assessment
|Tertiary Qualifications||Bachelor degree or equivalent; or
Fees and Scholarships
Choose your applicant type to view the relevant fees and scholarships information for this program.
I am a:
|Indicative annual tuition fees (24 units)||International student place: $23,000|
These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.
Business Data Analyst, Computer Scientist, Data Analyst, Data scientist , Database Coordinator, Scientific Data Analyst, Financial Systems / Computer Analyst, Information Technologist, Information and Communications Technologist
The Graduate Certificate 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 degree of Graduate Certificate in Data Science, students must satisfactorily complete a program of study consisting of the following requirements with a combined total of no less than 12 units comprising:
Three core courses to the value of 9 units
One elective course** to the value of 3 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.
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.
Example Study Plan
|Core course (9 units total)
Students must complete all of the following
|Electives (3 units total)
Students must choose one* of the following courses
Study plans are available on the Faculty of Engineering, Computer and Mathematical Sciences website.
The School of Computer Science at the University of Adelaide produces world class research each year and is led by not just academic leaders but also industry experts.
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, 17 Jan 2022