Graduate Certificate in Machine Learning

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.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.

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

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

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.

Potential careers

Computational Scientist, Computer Programmer, Computer Scientist, Diagnostic Technician, Digital Strategist, Software Specialist, IT Manager, IT Programmer