Graduate Diploma in Artificial Intelligence and Machine Learning New
Prosper through ‘thinking’ technology
Artificial intelligence and machine learning make life easier, in all its aspects: healthcare, defence, entertainment, agriculture. Artificial intelligence and machine learning now present the world’s single greatest commercial opportunity. Research indicates that by 2030 it could increase global GDP by up to 14%—a staggering US$15.7 trillion gain. Locally, hundreds of millions are invested towards industry-wide transformation, promoting significant job market growth.
Employment prospects are outstanding. AI and machine learning appointments worldwide have doubled in the past three years, with demand easily outstripping supply.
The Graduate Diploma in Artificial Intelligence and Machine Learning, conducted through the University of Adelaide’s world-renowned Australian Institute of Machine Learning (AIML), will prepare you to thrive in this exciting future.
What will you do?
Our Graduate Diploma in Artificial Intelligence and Machine Learning is driven by AIML’s cutting-edge research and extensive industry links, spanning diverse international sectors – from health, medical technology, defence and security to environment and natural resources.
In this graduate diploma you’ll undertake a carefully balanced mix of face-to-face intensive courses, work-integrated learning and online study. This degree will equip you with:
- high-level technical skills in machine learning and AI application development, including in specialist areas, such as deep learning and visual question answering
- broad awareness of the commercial, organisational and research opportunities presented by machine learning and AI
- a deep understanding of the disciplines’ ethical and social considerations
- the chance to gain valuable industry experience through an optional industry internship
- extensive industry connections and networks.
You’ll also receive ongoing mentoring, feedback and direction from AIML’s world-class researchers and high-performing industry professionals.
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 could help companies or public service providers provide unheard levels of personalised service. You might play a part in fully automating cities’ public transport systems for unprecedented reliability. Perhaps you’ll have a role in reducing the risk of skin sun damage with personalised AI risk monitoring technology.
Successful completion of the graduate diploma gives you advanced standing towards our Master of Artificial Intelligence and Machine Learning.
^CS Rankings, 2020 and ARWU, 2021
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 and a minimum GPA of 4.5|
|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 with a 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:
|Indicative annual tuition fees (24 units)||International student place: $46,000|
These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.
Computational Scientist, Computer Programmer, Computer Scientist, Diagnostic Technician, Digital Strategist, Software Specialist, IT Manager, IT Programmer
The Graduate Diploma in Artificial Intelligence and Machine Learning is ideal for 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 Diploma in Artificial Intelligence and Machine Learning, 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.
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 (15 units total)
Study plans are available on the Faculty of Engineering, Computer and Mathematical Sciences website.
The guidance and insights my supervisors have given me will benefit my future career path.
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