Graduate Certificate in Machine Learning

Degree Type Graduate Certificate
Duration 6 months full-time
or part-time equiv.
SATAC Code 3GC091

Pursue an intelligent career

Artificial intelligence (AI) and its component discipline 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.

Employment prospects are equally outstanding. AI and machine learning appointments worldwide have doubled in the past three years, with demand easily outstripping supply.

The Graduate Certificate in 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?

Our Graduate Certificate in 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.  

Comprising a carefully balanced mix of face-to-face intensive courses and online study, this 6-month full-time 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
  • in-depth understanding of the disciplines’ ethical and social considerations.

You’ll also receive mentoring, feedback and direction from AIML’s world-class researchers and high-performing industry professionals.


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.

The degree also provides an outstanding foundation for further advanced study, offering credit towards our graduate diploma and master degree in machine learning.

  • Entry Requirements

    For those who are based in Adelaide, we will be offering a blended delivery mode that combines face-to-face with remote learning in as many courses as possible, taking into consideration social distancing and hygiene. All lectures will continue to be delivered online for the remainder of the year, with some exceptions.

    For our students who are studying offshore for the remainder of the 2020 Academic Year, the University will continue to offer high-quality access to the learning resources remotely. 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.

    Choose your applicant type to view the relevant admissions information for this program.
    I am a:

    Domestic applicants

    Not a domestic applicant?

    SATAC Code 3GC091
    Deferment Yes - 2 year
    Intake February and July
    Enquiries Future Students team

    Selection Criteria
    Graduate entry

    Prerequisites SACE Stage 2 Mathematical Methods (or equivalent) MathTrackX is an online bridging program available as a recognised alternative to Mathematical Methods.
    Higher Education Study A completed Bachelor degree or equivalent with a minimum GPA of 4.5.
    How to Apply
    SATAC Code: 3GC091

    International applicants

    Not an international applicant?

    Not offered to international students.

  • Fees and Scholarships

    Choose your applicant type to view the relevant fees and scholarships information for this program.
    I am a:

    Domestic applicants

    Not a domestic applicant?

    Tuition fees
    Australian Full-fee place: $18,500 for 12 units

    International applicants

    Not an international applicant?


    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

    To qualify for the degree of Graduate Certificate in Machine Learning, the student must complete satisfactorily a program of study consisting of core courses to the value of 12 units.

    Example Study Plan

  • Related Degrees

  • Further Information

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: Tuesday, 8 Sep 2020