Graduate Certificate in Artificial Intelligence and Machine Learning New

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.





  • Ranked #3 in the world for computer vision research and #25 for automation and control^
  • Available to be studied either full-time, part-time or accelerated mode
  • Flexible learning with courses taught in intensive and blended mode

^CS Rankings, 2020 and 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.
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:

Domestic applicants

SATAC Code 3GC114
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.
Selection Criteria
Graduate entry

Higher Education Study A Bachelor's degree or equivalent with a minimum GPA of 4.5 OR relevant work experience of at least 3 years in Machine Learning/Artificial Intelligence or cognate roles OR Diploma or above in cognate discipline plus 2 years relevant work experience in Machine Learning/Artificial Intelligence or cognate roles.
How to Apply
SATAC Code: 3GC114


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: $19,500

Scholarships

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.

Careers

Potential careers

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:

  • Two core courses to the value of 6 units

  • 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
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 (6 units total)
Students must complete all of the following

Electives (6 units total)
Students must choose two* of the following courses

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


Study plans are available on the Faculty of Engineering, Computer and Mathematical Sciences website.

Testimonial

I chose to study because the difference degrees offered are well balanced content and have great links between academia, government and industry.

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Last updated: Monday, 17 Jan 2022