Master of Artificial Intelligence and Machine Learning Australia

Master of Artificial Intelligence and Machine Learning (107539J)

Looking for a top-tier Master of Artificial Intelligence and Machine Learning in Australia? CRICOS course code 107539J is a 2-year Masters Degree (Coursework) delivered by The University of Adelaide (Adelaide), a prestigious Government university. This program equips you with advanced skills in AI, machine learning, and data science, preparing you for global careers. All information below is sourced from the official CRICOS register (April 2026) – HeadStart Academy provides this free, independent resource to help you make informed decisions.

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Course overview

Master of Artificial Intelligence and Machine Learning (CRICOS course code 107539J) is a Masters Degree (Coursework) delivered by The University of Adelaide (Adelaide) over 2 years. This AQF Level 9 program falls under the field of 020119 – Artificial Intelligence, within Computer Science and Information Technology. As a CRICOS-registered course (provider CRICOS 00123M), it meets Australian Government standards for international education, ensuring ESOS Act protections for all students. The University of Adelaide is a leading Group of Eight institution, consistently ranked among the world's top universities. This course is designed for graduates seeking deep expertise in AI and machine learning, offering a strong foundation for research or industry roles.

What you'll study

The Master of Artificial Intelligence and Machine Learning focuses on advanced topics in artificial intelligence, including machine learning algorithms, deep learning, natural language processing, computer vision, and data analytics. Students typically develop skills in programming (Python/R), mathematical modelling, and ethical AI practices. The curriculum blends theoretical foundations with practical applications, preparing graduates for roles in tech, finance, healthcare, and research. While specific syllabi vary, the course aims to build expertise in designing intelligent systems and solving complex problems. As an AQF Level 9 qualification, it requires a prior bachelor degree, usually in a STEM or related field, and demonstrates advanced knowledge and research capabilities.

Duration and study mode

This course has a duration of 2 years (104 weeks on the CRICOS register), studied full-time. The language of instruction is English. It is a single qualification (no dual award) and does not include a foundation studies component. There is no mandatory work component, but international students on a Student visa (Subclass 500) can work up to 48 hours per fortnight during term and unlimited hours during scheduled breaks. The standard study mode is on-campus at the North Terrace campus in Adelaide. Part-time study may be available under specific visa conditions – check with The University of Adelaide.

Fees (indicative)

Indicative fees for Master of Artificial Intelligence and Machine Learning, as recorded in the CRICOS register (April 2026), are: tuition A$104,600, non-tuition fees A$730, total estimated A$105,330. Please note that fees are set by The University of Adelaide (Adelaide) and are subject to change – confirm current fees on their website. Additional costs not included are Overseas Student Health Cover (OSHC), living expenses (rent, groceries, transport), and the visa application charge. For a single student in Adelaide, estimated weekly living costs are around A$450–A$650. Always budget for your entire study period.

Entry requirements

Entry requirements for the Master of Artificial Intelligence and Machine Learning typically include an IELTS score of 6.5–7.0 overall (or equivalent English language test) and a completed bachelor degree in a relevant field (e.g., computer science, mathematics, engineering). A strong academic record and background in programming or statistics may be required. Some applicants may need to complete a Graduate Certificate or Diploma as a pathway – check with The University of Adelaide for specific prerequisites. This course does not include foundation studies. As HeadStart Academy is not a registered migration agent, we recommend verifying all requirements directly with the provider.

Work component

This course does not include a mandatory work component. However, international students on a Student visa (Subclass 500) can gain work experience through part-time employment (up to 48 hours per fortnight during term, unlimited during holidays). This is subject to visa conditions and course progress. While not part of the curriculum, working can help offset living costs and build Australian work experience. The University of Adelaide may offer career support and internship opportunities – check their website for options.

Delivery locations

This course is delivered at The University of Adelaide, North Terrace — AUSTRALIA, SA. Adelaide is South Australia's capital, home to over 50 CRICOS-registered providers and approximately 40,000 international students (2025 data). Living in Adelaide offers a relatively affordable cost of living compared to Sydney or Melbourne, with indicative weekly rent of A$250–A$400 for a room, groceries around A$100–A$150, and public transport concession passes at ~A$25 per week. The North Terrace campus is in the city centre, well-served by buses, trams, and trains. Adelaide's student-friendly environment and growing tech sector make it a great place to study AI.

Student visa

To study this course, you will need a Student visa (Subclass 500). Key requirements include meeting the Genuine Temporary Entrant (GTE) criterion, maintaining valid Overseas Student Health Cover (OSHC), and demonstrating sufficient financial capacity to cover tuition, living costs, and dependents. Student visa holders can work up to 48 hours per fortnight during term and unlimited during scheduled breaks. All CRICOS-registered courses qualify for the Simplified Student Visa Framework (SSVF). Visa outcomes are solely at the discretion of the Department of Home Affairs – consult a registered MARA agent for advice.

How to apply

Follow these three steps to apply for the Master of Artificial Intelligence and Machine Learning at The University of Adelaide (Adelaide):

1. Research CRICOS-registered providers – Use HeadStart Academy to filter by course level (Masters Degree), field (Artificial Intelligence), and city (Adelaide). Confirm that The University of Adelaide (CRICOS 00123M) meets your needs.

2. Apply directly to your chosen institution – Check entry requirements, prepare your English test results (IELTS 6.5–7.0 or equivalent), collect academic transcripts, and submit your application before the deadline (usually semester-based). The University of Adelaide accepts applications online.

3. Receive your Confirmation of Enrolment (CoE) and apply for your Student visa – Once accepted, you'll get a CoE, which you need to lodge a Student visa (Subclass 500) application with the Department of Home Affairs. Remember to get OSHC and prepare for the GTE interview.

FAQ

Frequently asked questions about Master of Artificial Intelligence and Machine Learning (107539J) at The University of Adelaide (Adelaide):

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Source-backed course facts

Master of Artificial Intelligence and Machine Learning is a CRICOS-registered programme at The University of Adelaide (Adelaide). Use this register extract [CRICOS register, Apr 2026] to cross-check codes, duration and indicative fees before you apply.

CRICOS register extract

Course
Master of Artificial Intelligence and Machine Learning
CRICOS course code
107539J
Provider
The University of Adelaide (Adelaide) (00123M)
Course level
Masters Degree (Coursework)
Field of education
02 - Information Technology
Duration
104 weeks
Tuition (indicative)
A$104,600
Estimated total (indicative)
A$105,330
Delivery locations
AUSTRALIA
Work component
No

This page is general information only and not migration advice. Confirm Student visa (Subclass 500) requirements with the Department of Home Affairs.

Important notes for international students

  • Tuition and living-cost figures on this site are indicative only — confirm current fees with the provider before you accept an offer.
  • HeadStart Academy is not a registered migration agent and does not provide immigration advice. For Student visa (Subclass 500) rules, OSHC and financial capacity, verify with the Department of Home Affairs or a registered MARA agent.
  • Only CRICOS-registered providers may enrol overseas students. Always check the CRICOS course and provider codes on your offer and Confirmation of Enrolment (CoE).

Related pages

Frequently Asked Questions

The indicative total fee is A$105,330, comprising A$104,600 tuition and A$730 non-tuition fees (CRICOS register April 2026). This excludes OSHC, living costs, and visa application charge. Fees are set by the provider and may change – always check the University's official website for current fees.
The course duration is 2 years (104 weeks) as per the CRICOS register. It is studied full-time, with an option for part-time subject to visa conditions. The language of instruction is English, and there is no mandatory work component.
Entry typically requires an IELTS score of 6.5–7.0 overall (or equivalent) and a bachelor degree in a relevant field such as computer science, mathematics, or engineering. Some applicants may need pathway programs. Refer to The University of Adelaide for precise requirements.
It is delivered at The University of Adelaide's North Terrace campus in Adelaide, South Australia. Adelaide has over 50 CRICOS-registered providers and a large international student community, offering a vibrant study environment with affordable living costs.
CRICOS lists estimated total fees of A$105,330 for Master of Artificial Intelligence and Machine Learning (tuition A$104,600). Figures are indicative as at the April 2026 register snapshot — confirm current fees with The University of Adelaide (Adelaide) before applying.
The CRICOS course code is 107539J, offered by The University of Adelaide (Adelaide) (provider code 00123M). Use these codes when checking your offer and CoE.