Master's Degree Artificial Intelligence Full Time

Master of Artificial Intelligence and Machine Learning

at Adelaide University · Adelaide, South Australia

CRICOS course code

107539J

CRICOS provider code

00123M

This course is registered on the Commonwealth Register of Institutions and Courses for Overseas Students. Verify it yourself at cricos.education.gov.au before paying any fee.

Duration

2 years

Tuition (whole course)

A$104,600 total

Per year

A$52,300/yr

Intake

Semester 1 (Feb/Mar), Semester 2 (Jul)

About this program

The Master of Artificial Intelligence and Machine Learning at Adelaide University is structured over two years of full-time study, focusing on essential and advanced topics in AI, machine learning, and data science. Students typically complete a sequence of units of study, earning credit points that count toward their qualification as set out by the university. Coursework explores algorithms, deep learning, statistical modelling, and real-world libraries and frameworks for AI applications.

Students learn through both theoretical and hands-on work, including lab-based classes and project work simulating situations faced by professionals in the AI field. The degree often includes opportunities for industry engagement–such as capstone projects or internally supervised research—that connect students with actual challenges in Australian sectors adopting AI, like healthcare, agriculture, finance, and autonomous systems. Confirm specific experiences and available placements directly with Adelaide University.

Graduates gain practical skills in analysing data, building and testing models, and designing AI-driven systems, as well as project management and communication within multidisciplinary teams. The programme is suitable for graduates from computing, mathematics, engineering, or related fields looking to advance technical expertise and pursue roles shaping how Australian businesses adapt machine learning and artificial intelligence in practice.

Adelaide, as a city, is home to a growing tech community and several research partnerships between the university and industry. International students at Australian institutions can work up to 48 hours per fortnight during teaching periods and may be eligible for post-study work rights under the Temporary Graduate visa (subclass 485) after completing this CRICOS-listed degree. Check the university page for more on structure and available support.

Entry requirements

English: International applicants must evidence English proficiency. IELTS Academic 6.0–6.5 overall is the common undergraduate and coursework-postgraduate standard, rising to 7.0–7.5 for teaching, nursing, medicine, law and social work. TOEFL iBT, PTE Academic, Cambridge C1 Advanced and the university’s own English programmes are accepted as equivalents; the Department of Home Affairs sets a separate English threshold for the Student visa itself.

International students: Registered on CRICOS for international students. A Confirmation of Enrolment (CoE) for this course supports a Student visa (subclass 500) application; Overseas Student Health Cover is required for the full duration.

Career outcomes

Machine Learning Engineer in technology and consulting firms
Data Scientist for banks, government agencies, or retail
AI Software Developer in startups, mining, agriculture, or defence
Business Intelligence Analyst for healthcare or logistics firms
Researcher in AI labs or university teams

Frequently asked questions

How long is the Master of Artificial Intelligence and Machine Learning at Adelaide University?

It typically takes 2 years, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).

How much is the tuition?

Tuition is around A$104,600 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Machine Learning Engineer in technology and consulting firmsData Scientist for banks, government agencies, or retailAI Software Developer in startups, mining, agriculture, or defenceBusiness Intelligence Analyst for healthcare or logistics firmsResearcher in AI labs or university...

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