Pre-2022 Master of Machine Learning (CRICOS course code 0100822) is a Masters Degree (Coursework) delivered by The University of Adelaide (Adelaide) over 2 years. This CRICOS-registered course is designed for international students seeking advanced expertise in artificial intelligence and machine learning at one of Australia's leading Group of Eight universities. Located in Adelaide, South Australia, the program offers a strong foundation in computational techniques, data analysis, and algorithmic design, preparing graduates for high-demand roles in technology and research. As a student on this course, you will benefit from the University of Adelaide's reputation for research excellence and its strong industry connections. All data on this page is sourced from the official CRICOS register as at April 2026, ensuring you get accurate, up-to-date information for your study decision.
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The Pre-2022 Master of Machine Learning (CRICOS 0100822) is a Masters Degree (Coursework) (AQF Level 9) offered by The University of Adelaide (Adelaide), a CRICOS-registered government university (CRICOS 00123M). This course falls under the field of Artificial Intelligence (020119) within Computer Science and Information Technology. It typically involves advanced study of machine learning algorithms, neural networks, deep learning, statistical modelling, and data mining. Graduates gain the skills to design intelligent systems, analyse large datasets, and drive innovation across sectors such as finance, healthcare, and robotics. The University of Adelaide is a member of Australia's prestigious Group of Eight, known for high-impact research and quality teaching. This course is ideal for students who have a background in computer science, mathematics, or related fields and wish to specialise in machine learning.
As a master's-level course in Artificial Intelligence, the Pre-2022 Master of Machine Learning covers advanced topics in machine learning theory and application. Students typically learn to develop and evaluate models for classification, regression, clustering, and reinforcement learning. Core areas include supervised and unsupervised learning, deep neural networks, natural language processing, computer vision, and ethics in AI. The curriculum often includes hands-on projects using industry-standard tools like Python, TensorFlow, and PyTorch. While specific units are set by the provider, graduates emerge with strong analytical and programming abilities, ready to tackle complex real-world problems. This course does not include a mandatory work component, but students may seek internships or work experience independently.
The Pre-2022 Master of Machine Learning is a 2-year full-time course, equating to 104 weeks on the CRICOS register. Instruction is delivered entirely in English. This is a single qualification (no dual award) and does not include foundation studies. Students attend classes at the University of Adelaide's North Terrace campus in Adelaide's city centre. The course structure typically involves coursework, projects, and a possible research component. International students must maintain a full-time study load to comply with student visa conditions.
The indicative tuition fee for the Pre-2022 Master of Machine Learning is A$97,000 for the entire 2-year program. Non-tuition fees are listed as A$0 on the CRICOS register. Therefore, the estimated total course cost is A$97,000. Please note that these figures do not include Overseas Student Health Cover (OSHC), living expenses, or the visa application charge. Fees are subject to change and should be confirmed directly with The University of Adelaide (visit adelaide.edu.au for the most current fees). Adelaide's cost of living is generally lower than Sydney or Melbourne, with indicative weekly costs of around A$350–500 for rent, A$80–120 for groceries, and A$30–50 for public transport.
For the Pre-2022 Master of Machine Learning, applicants typically need a bachelor's degree in a relevant field such as computer science, mathematics, engineering, or statistics. The University of Adelaide usually requires an IELTS overall score of 6.5–7.0 (with no band below 6.0) or equivalent. Some students may need to complete pathway programs if they do not meet the direct entry requirements – check with the provider. Always refer to the official entry requirements on the University of Adelaide website for the most accurate and up-to-date information.
No work component. This course does not include a mandatory work component. However, international students on a Student visa (Subclass 500) are permitted to work up to 48 hours per fortnight during term and unlimited hours during scheduled breaks, subject to visa conditions. Any work must not interfere with your study commitments.
The Pre-2022 Master of Machine Learning is delivered at The University of Adelaide's North Terrace campus in Adelaide, South Australia. Adelaide is the capital city of SA, known for its vibrant culture, affordable living, and strong student community. Over 40 CRICOS-registered providers operate in Adelaide, offering thousands of courses. The North Terrace campus is conveniently located in the city centre, with easy access to public transport (trams, buses, trains). The campus is near the Adelaide Botanic Garden and the River Torrens, providing a pleasant study environment. Students enjoy a safe, welcoming city with a population of about 1.3 million.
International students enrolling in a CRICOS-registered course must apply for a Student visa (Subclass 500). This visa requires you to maintain full-time enrolment, meet Genuine Temporary Entrant (GTE) requirements, and hold Overseas Student Health Cover (OSHC). You may work up to 48 hours per fortnight during term. The visa application charge is currently A$710 (subject to change). It is important to demonstrate sufficient financial capacity to cover tuition, living costs ($21,041 per year for a single student in 2024), and OSHC. For guidance, consult a registered migration agent (MARA) or visit the Department of Home Affairs.
Follow these three steps to apply for the Pre-2022 Master of Machine Learning at The University of Adelaide (Adelaide):
1. **Research CRICOS-registered providers** – Filter by course level, field, and city. The University of Adelaide (Adelaide) is a CRICOS-registered provider (00123M) offering this course.
2. **Apply directly to your chosen institution** – Check specific entry requirements (English test scores, academic qualifications) and application deadlines. Submit your application through the University of Adelaide's online portal.
3. **Receive your Confirmation of Enrolment (CoE) and apply for your Student visa (Subclass 500)** – Once you receive your CoE, apply for a student visa online through the Department of Home Affairs. Prepare your documents including OSHC evidence, financial documents, and GTE statement.
Adelaide offers a rich blend of study and lifestyle. With over 40 registered providers and a student population exceeding 40,000 international students, you'll find a supportive community. Living costs are lower than Sydney or Melbourne – average weekly rent for a one-bedroom apartment in the city centre is around A$400–500, while a three-course meal for two at a mid-range restaurant costs about A$80. Public transport is efficient with a single trip ticket around A$4. The city is known for its festivals, wine regions (Barossa Valley), and beautiful beaches. However, job opportunities may be more limited compared to larger cities. Consider your career goals and lifestyle preferences before choosing.
Ready to apply? Start your journey by confirming your eligibility with The University of Adelaide.
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Pre-2022 Master of 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.
This page is general information only and not migration advice. Confirm Student visa (Subclass 500) requirements with the Department of Home Affairs.