Master of Artificial Intelligence and Machine Learning Postgraduate | 2026 Degree information for: Australian students International students You're viewing degree information for Australian students You're considered an Australian student if you are any of the following: Australian or New Zealand CitizenAustralian Permanent Resident (including Humanitarian Visa holders) Not an Australian student? Switch to International content Cancel You're viewing degree information for International students You're considered an International student if you are: NOT an Australian or New Zealand citizenNOT an Australian Permanent Resident (including Humanitarian Visa holders) Not an International student? Switch to Australian content Cancel This degree is only available to International students You're considered an International student if you are: NOT an Australian or New Zealand citizenNOT an Australian Permanent Resident (including Permanent Humanitarian Visa holders) Cancel This degree is only available to Australian students You're considered an Australian student if you are any of the following: Australian or New Zealand CitizenAustralian Permanent Resident (including Permanent Humanitarian Visa holders) Cancel Mode More info Mode Close tooltip Your study is primarily delivered on campus On campus Start date More info Start date Close tooltip The month you will commence your studies. Exact start date is outlined in the course timetable. February, July Campus Adelaide City Campus Duration More info Duration Close tooltip Duration is approximate and based on a full-time study load. Part-time study is not available for international students. 2 year(s) full-time Program code MAAIM Study as Full-time Indicative annual fees More info Indicative annual fees Close tooltip Published fees are for international students starting in 2026. Fees are based on the total number of units studied in this program on a full-time annual basis. Adelaide University also accepts applications for programs commencing after the advertised year. Tuition fees for these later years are likely to be higher. $54,900 Non-tuition fees Prerequisite More info Prerequisite Close tooltip A prerequisite is a required course or/subject that you must have successfully completed before you can enrol into this program. None Assumed knowledge More info Assumed knowledge Close tooltip Assumed knowledge, while not essential, is where you have a minimum level of understanding in the relevant course area. None English language requirements IELTS Overall 6.5 IELTS Reading 6 IELTS Listening 6 IELTS Speaking 6 IELTS Writing 6 Equivalent English qualifications CRICOS code 115898H Brochure Enquire Compare Apply Entry requirements Admission criteria To be eligible, an applicant must have achieved at least one of the following minimum entry requirements and demonstrate they fulfil any prerequisite and essential criteria for admission. In cases where there are more eligible applicants than available places, admission will be competitive with ranks based on the entry criteria. A completed bachelor (AQF level 7) or bachelor honours (AQF level 8) degree or equivalent in computer science, computer systems engineering, or software engineering from a recognised higher education institution; ORA completed nested or related graduate certificate (AQF level 8) or higher in computer science from a recognised higher education institution. This degree requires a Grade Point Average (GPA) equivalent to an Adelaide University 4.5 on a 7-point scale for entry. English language entry requirements In addition, international students who speak English as an additional language must have obtained one of the following standards within the last two years prior to admission. Possession of one or more of these qualifications, in addition to the academic entry requirements, does not, in itself, guarantee a place at Adelaide University. Applications are considered on an individual basis and selection is competitive. Where previous study/work experience was conducted in English, the application must be accompanied by certified documentation from the educational institution/employer certifying that the language of instruction/employment was English. IELTS Overall 6.5 IELTS Reading 6 IELTS Listening 6 IELTS Speaking 6 IELTS Writing 6 Please access the following link for a comprehensive list of English language tests accepted by Adelaide University and other important information in relation to meeting the University’s language requirements: Equivalent English qualifications Show full entry requirements Hide full entry requirements Why Master of Artificial Intelligence and Machine Learning? Are you ready to lead the future of technology? Create smart systems that revolutionise industries. Design algorithms that run self-driving cars or build predictive models that enhance healthcare. The possibilities are endless.   Develop practical skills in programming, machine learning (ML) and ethical artificial intelligence (AI) while exploring cutting-edge topics like generative AI and deep learning. With demand for AI professionals booming worldwide, you’ll be ready to innovate and make a real difference in fields like robotics, data science and beyond.   Shape the future with artificial intelligence studying at Adelaide University.  Overview Embark on a transformative journey with the Master of Artificial Intelligence and Machine Learning at Adelaide University. This innovative degree puts you at the forefront of the AI revolution. You’ll be equipped with the skills to innovate and lead in this rapidly evolving field.  Explore the unique world of intelligent systems as you master:  Advanced machine learning algorithms Deep learning architectures Generative AI techniques Ethical AI development.  You'll gain hands-on experience with state-of-the-art tools and technologies and tackle real-world challenges through industry-partnered projects. Build your technical skills and critical thinking needed to navigate the ethical complexities of AI.  Graduate ready to influence the future of technology in diverse sectors, from healthcare to finance. Drive innovations that will redefine human-machine interaction and solve some of society's most complex challenges.   Key features Study a comprehensive curriculum that integrates core AI and machine learning concepts with practical applications. Gain hands-on experience with the latest tools and technologies in AI, including deep learning and generative AI. Navigate the complex moral landscape of modern technology by emphasising ethics, privacy and security in AI development. Apply knowledge to real-world challenges through an industry capstone project, enhancing practical skills and professional readiness. Prepare for high-demand roles as an AI engineer, data scientist or machine learning specialist. Build your professional network through extensive industry connections and mentorship opportunities.  What you'll learn With the Master of Artificial Intelligence and Machine Learning at Adelaide University, you’ll gain advanced skills in artificial intelligence and machine learning. You’ll be prepared to step into leadership roles in this exciting and rapidly evolving field.  In your first year, you'll build a strong foundation of knowledge in AI and machine learning fundamentals. Learn programming specifically tailored for AI applications and explore statistical foundations crucial for data science. Explore the ethical considerations of AI development while honing your project management and leadership skills.  As you progress, you'll study more advanced topics including:  Advanced machine learning algorithms Deep learning applications Applied AI techniques.  During your second year, you'll tackle more complex topics like generative AI and cutting-edge developments in the field. You can specialise further by selecting electives such as:  Computer vision and multi-modal machine learning Big data technologies Text and social media analytics.  The degree culminates with an industry capstone project, where you can apply your knowledge to real-world challenges. This hands-on experience integrates everything you've learned, preparing you for the practical demands of the AI industry.  Throughout the course, you'll develop not only technical expertise but also critical thinking skills essential for navigating the ethical landscape of AI. You'll graduate with a comprehensive understanding of AI and ML, ready to drive innovation in various sectors such as technology, healthcare and finance.  With a robust skill set, practical experience and exposure to the latest AI technologies, you'll be well-equipped to pursue exciting careers as an AI engineer, machine learning specialist or data scientist.  More about what you’ll learn Less about what you’ll learn What courses you'll study Complete 96 units comprising:66 units for all Core courses, and12 units for all Work Integrated Learning, and18 units for Electives Core courses Work Integrated Learning Electives Complete 66 units for ALL of the following: Course name Course code Units Course name Generative Artificial Intelligence Course code ARTI5001 Units 6 Course name Applied Artificial Intelligence and Machine Learning Course code ARTI5002 Units 6 Course name Ethics, Privacy and Security in Artificial Intelligence and Machine Learning Course code ARTI5006 Units 6 Course name Advanced Topics in Artificial Intelligence and Machine Learning Course code ARTI6000 Units 6 Course name Machine Learning Algorithms Course code ARTI6003 Units 6 Course name Programming for Artificial Intelligence and Machine Learning Course code COMP5004 Units 6 Course name Programming for Artificial Intelligence and Machine Learning 2 Course code COMP5064 Units 6 Course name Deep Learning Applications Course code COMP6004 Units 6 Course name Applied Artificial Intelligence and Machine Learning 2 Course code COMP6026 Units 6 Course name Project Management for IT Professionals Course code PROJ5001 Units 6 Course name Statistical Foundations for Data Science and Artificial Intelligence Course code STAT5020 Units 6 Standard study plans Course name Course code Units Year 1 Semester 1 Course name Ethics, Privacy and Security in Artificial Intelligence and Machine Learning Course code ARTI5006 Units 6 Course name Programming for Artificial Intelligence and Machine Learning Course code COMP5004 Units 6 Course name Statistical Foundations for Data Science and Artificial Intelligence Course code STAT5020 Units 6 Course name Elective Course code - Units 6 Semester 2 Course name Machine Learning Algorithms Course code ARTI6003 Units 6 Course name Programming for Artificial Intelligence and Machine Learning 2 Course code COMP5064 Units 6 Course name Project Management for IT Professionals Course code PROJ5001 Units 6 Course name Elective Course code - Units 6 Year 2 Semester 1 Course name Applied Artificial Intelligence and Machine Learning Course code ARTI5002 Units 6 Course name Advanced Topics in Artificial Intelligence and Machine Learning Course code ARTI6000 Units 6 Course name Deep Learning Applications Course code COMP6004 Units 6 Course name Elective Course code - Units 6 Semester 2 Course name Generative Artificial Intelligence Course code ARTI5001 Units 6 Course name Applied Artificial Intelligence and Machine Learning 2 Course code COMP6026 Units 6 Course name ICT Master Capstone Project 1 Course code COMP6024 Units 6 Course name ICT Master Capstone Project 2 Course code COMP6000 Units 6 Complete 12 units for ALL of the following: Course name Course code Units Course name ICT Master Capstone Project 1 Course code COMP6024 Units 6 Course name ICT Master Capstone Project 2 Course code COMP6000 Units 6 Standard study plans Course name Course code Units Year 1 Semester 1 Course name Ethics, Privacy and Security in Artificial Intelligence and Machine Learning Course code ARTI5006 Units 6 Course name Programming for Artificial Intelligence and Machine Learning Course code COMP5004 Units 6 Course name Statistical Foundations for Data Science and Artificial Intelligence Course code STAT5020 Units 6 Course name Elective Course code - Units 6 Semester 2 Course name Machine Learning Algorithms Course code ARTI6003 Units 6 Course name Programming for Artificial Intelligence and Machine Learning 2 Course code COMP5064 Units 6 Course name Project Management for IT Professionals Course code PROJ5001 Units 6 Course name Elective Course code - Units 6 Year 2 Semester 1 Course name Applied Artificial Intelligence and Machine Learning Course code ARTI5002 Units 6 Course name Advanced Topics in Artificial Intelligence and Machine Learning Course code ARTI6000 Units 6 Course name Deep Learning Applications Course code COMP6004 Units 6 Course name Elective Course code - Units 6 Semester 2 Course name Generative Artificial Intelligence Course code ARTI5001 Units 6 Course name Applied Artificial Intelligence and Machine Learning 2 Course code COMP6026 Units 6 Course name ICT Master Capstone Project 1 Course code COMP6024 Units 6 Course name ICT Master Capstone Project 2 Course code COMP6000 Units 6 Complete 18 units comprising:18 units from Program electives Program electives Course name Course code Units Course name Computer Vision and Multimodal Machine Learning Course code COMP6001 Units 6 Course name Data-Driven Decision-Making Course code COMP6011 Units 6 Course name Data Taming and Prediction Course code MATHX105 Units 6 Standard study plans Course name Course code Units Year 1 Semester 1 Course name Ethics, Privacy and Security in Artificial Intelligence and Machine Learning Course code ARTI5006 Units 6 Course name Programming for Artificial Intelligence and Machine Learning Course code COMP5004 Units 6 Course name Statistical Foundations for Data Science and Artificial Intelligence Course code STAT5020 Units 6 Course name Elective Course code - Units 6 Semester 2 Course name Machine Learning Algorithms Course code ARTI6003 Units 6 Course name Programming for Artificial Intelligence and Machine Learning 2 Course code COMP5064 Units 6 Course name Project Management for IT Professionals Course code PROJ5001 Units 6 Course name Elective Course code - Units 6 Year 2 Semester 1 Course name Applied Artificial Intelligence and Machine Learning Course code ARTI5002 Units 6 Course name Advanced Topics in Artificial Intelligence and Machine Learning Course code ARTI6000 Units 6 Course name Deep Learning Applications Course code COMP6004 Units 6 Course name Elective Course code - Units 6 Semester 2 Course name Generative Artificial Intelligence Course code ARTI5001 Units 6 Course name Applied Artificial Intelligence and Machine Learning 2 Course code COMP6026 Units 6 Course name ICT Master Capstone Project 1 Course code COMP6024 Units 6 Course name ICT Master Capstone Project 2 Course code COMP6000 Units 6 Career outcomes With the Master of Artificial Intelligence and Machine Learning at Adelaide University, you’ll gain the skills to revolutionise industries and shape tomorrow's technological landscape. Imagine developing AI systems that predict disease outbreaks, optimise sustainable energy solutions or create models that forecast climate change impacts.   You could work at renowned tech giants like Google, Amazon or Apple, pushing the boundaries of what’s possible. You might become an AI research scientist pioneering new algorithms. Perhaps you’ll get a role as an AI ethics specialist ensuring responsible technology development.  The AI revolution is transforming every sector, from healthcare and finance to environmental conservation and space exploration.   Other exciting roles you could pursue include:  AI product development specialist Machine learning engineer AI integration consultant Natural language processing specialist.  Industry trends  The Australian AI market is projected to reach USD 8.89 billion by 2029, growing at a compound annual growth rate (CAGR) of 19.27% from 2023 to 2029 (GlobeNewswire, 2024 Research Report). Goldman Sachs suggests AI adoption could lift global productivity growth by 1.5 percentage points over a 10 year period and drive a 7% (or US$7 trillion) increase (Australian Government, Export Finance Australia) in global gross domestic product (GDP).    Our degree at Adelaide University ensures you’ll be at the forefront of this technological wave, driving innovations that could redefine human-machine interaction.  Accreditation This program is provisionally accredited at the level of Professional by the Australian Computer Society (ACS). Graduates are eligible for membership with the ACS and are recognised internationally through the Seoul Accord. Ready to apply? Check your eligibility Before you begin, find the degree you wish to study and check you meet the academic entry requirements and English language requirements. Entry requirements Gather your relevant documents Ensure you have all supporting documentation needed at the time of application to avoid delays. How to apply Complete and send your application Apply through one of the University’s official agency partners, or via our online application system. Apply now Please note that a non-refundable application fee of AUD$150 applies for every application submitted to Adelaide University. How to apply Applications for international students are open now, to begin your studies in 2026.  Apply through one of the University’s official Education Agents, or via our International Application System.   Find an Education Agent  Depending on your country of citizenship, you may be required to apply through one of our Education Agents.  Find an education agent in your country Ask Adelaide University When is the last date to apply? What campuses and facilities does Adelaide University have? When will my studies commence? Can I speak to someone regarding my study options? What scholarships are available? View all FAQs Your study experience and support Adelaide University sets you up for success in your studies – and your social life. You’ll have access to work placement and internship opportunities, overseas study tours and exchanges, networking events with guest speakers and more. Our campuses are equipped with purpose-built facilities including lecture theatres, libraries, workshops, laboratories, and spaces that simulate real work environments. These are all supported by the latest technologies and a 24/7 online learning platform with personalised study information and resources.  You’ll have everything you need to live well and thrive during your studies, with health services on campus, gymnasiums, technology zones and modern student lounges. Get involved in campus sport or join our student clubs that will connect you to your passions – and the people who share them.  Adelaide also has a variety of accommodation options to suit your individual requirements and budget, with options ranging from dedicated student accommodation to private rentals. One of the world’s most liveable cities, Adelaide has lots of leafy parks, gardens and social hubs – and some of the highest living standards globally. No matter where you are in Adelaide, you’re only a short distance from beaches, vineyards, museums, art galleries, restaurants, bars and parklands. Visit the accommodation web page to find out more.  Student services  We’re here to support you on your student journey. Adelaide University offers a range of support services and facilities, including:  Career advice and mentoring services Personal counselling LGBTQIA+ support Academic support Fees and finance help Security services Accommodation services Common rooms Prayer rooms.  You’ll also have unlimited access to our dedicated student support hub. Visit in-person or online, or contact our friendly team by phone. We can assist you with anything study-related including enrolment, identification cards, timetables, fees and more.  More about your study experience and support Less about your study experience and support Your campus You'll be studying at one of our renowned campuses, accessing cutting-edge facilities and contemporary study spaces.  This degree is offered at the following campus(es) Study hours Your courses will require a combination of different learning formats, including lectures, tutorials, workshops, seminars and practicals. Aside from your classes, you’ll also need to allocate additional time for independent study. This may include assignments, readings, projects and contributing to online discussion forums. As a rough guide, full-time studies may require 12-26 hours of class time and 14-18 hours of independent study per week.    Assessment During your studies at Adelaide University, you’ll complete a mixture of practical, professional and research-based learning. Your assessment types will vary depending on the degree you’re studying, but may include:  Case studies  Essays and assignments  Examinations  Group projects  Internships and placements  Practicals  Presentations  Reports and project documentations Research projects Workplace and classroom contributions.  Explore Adelaide University Accommodation options Considering calling Adelaide home? Explore accommodation options to find a place that's right for you. Find out more Life in Adelaide Discover why Adelaide is one of the most liveable cities in the world. Find out more Scholarships Our scholarships can provide the helping hand you need to transition into university life. Find out more