Graduate Certificate in Artificial Intelligence and Machine Learning
Pursue an intelligent career
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.
The Graduate Certificate in Artificial Intelligence and Machine Learning, conducted through the University of Adelaide’s world-renowned Australian Institute of Machine Learning (AIML), will prepare you for an exciting career in this pivotal field.
What will you do?
Comprising a carefully balanced mix of face-to-face intensive courses and online study, this degree will equip you with:
- a suite of 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
- an introductory understanding of the disciplines’ ethical and social considerations.
- the necessary foundation of skills and understanding to embark on work or further study in artificial intelligence or machine learning
You’ll also receive 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 might develop a solution that constantly monitors a business’s key relationships and predicts how and when to upsell them. Perhaps you’ll help not-for-profits maximise donations through advanced AI modelling of website traffic.
Successful completion of the graduate certificate enables you to gain credit towards our Graduate Diploma and Master in Artificial Intelligence and Machine Learning.
Advance your career in Artificial Intelligence and Machine Learning
AI is the new electricity of the 21st century. Unlock your next opportunity in this industry of the future, and study with the experts at the world-leading Australian Institute of Machine Learning.
#US News Best Global Universities, subject rankings, 2023
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 | 3GC114, 3GC121 |
|---|---|
| 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 | Bachelor degree or equivalent; or Relevant work experience of at least 3 years in Machine Learning / AI or cognate roles; or Diploma or above in cognate discipline plus 2 years relevant work experience in Machine Learning / AI or cognate roles. |
|---|
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Admissions Transparency Data
Student Profile
Applicant background Semester one/Full year intake 2023 Number of students Percentage of all students International students N/A N/A All students 1 100.0%
Ready to Apply?
Find out more about the application process and start your studies at the University of Adelaide.
Be sure to check the critical dates to avoid missing application deadlines.
ApplyFees and Scholarships
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Domestic applicants
| Indicative annual tuition fees |
Commonwealth-supported place: $8,945
|
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 Certificate in Artificial Intelligence and Machine Learning 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.
Scholarships
These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.
Careers
Potential careers
Graduates of this program have gone on to roles such as:
Computational Scientist; Computer Programmer; Computer Scientist; Diagnostic Technician; Digital Strategist; Software Specialist; IT Manager; IT Programmer
Degree Structure
The Graduate Certificate 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 Certificate 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 12 units comprising:
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Two core courses to the value of 6 units
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Two elective courses** to the value of 6 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
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 (6 units total) Students must complete all of the following |
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| Electives (6 units total) Students must choose two* of the following courses |
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Related Degrees
Further Study
- Graduate Diploma in Artificial Intelligence and Machine Learning
- Graduate Diploma in Cyber Security
- Graduate Diploma in Cyber Security - Online
- Graduate Diploma in Data Science
- Graduate Diploma in Data Science (Applied) - Online
- Master of Artificial Intelligence and Machine Learning
- Master of Cyber Security
- Master of Cyber Security - Online
- Master of Data Science
- Master of Data Science (Applied) - Online
Testimonial
The degrees structure uses the latest trends to build industry-ready graduates by introducing emerging technologies and policies and providing guidance to leverage their future.
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: Saturday, 21 Oct 2023
