Adelaide University
Master of Artificial Intelligence and Machine Learning
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 24 months
- Course Type: Master's
Create smart systems that revolutionise industries by designing algorithms for self-driving cars or building predictive models that advance healthcare.
Course 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.
CSP Subsidised Fees Available
This program has a limited quota of Commonwealth Supported Places (CSP). The indicative CSP price is calculated based on first year fees for EFT. The actual fee may vary if there are choices in electives or majors.
Key facts
July, 2026
What you will study
Students must complete 96 units comprising:
- 66 units for all core courses.
- 12 units for all work-integrated learning.
- 18 units for electives.
Each course is worth six units.
Complete 66 units for all of the following:
- Generative Artificial Intelligence
- Applied Artificial Intelligence and Machine Learning
- Ethics, Privacy and Security in Artificial Intelligence and Machine Learning
- Advanced Topics in Artificial Intelligence and Machine Learning
- Machine Learning Algorithms
- Programming for Artificial Intelligence and Machine Learning
- Programming for Artificial Intelligence and Machine Learning 2
- Deep Learning Applications
- Applied Artificial Intelligence and Machine Learning 2
- Project Management for IT Professionals
- Statistical Foundations for Data Science and Artificial Intelligence
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's (AQF level 7) or bachelor's honours (AQF level 8) degree or equivalent in computer science, computer systems engineering or software engineering from a recognised higher education institution; OR
- A completed nested or related graduate certificate (AQF level 8) or higher in computer science from a recognised higher education institution.
Recognition of Prior Learning
Adelaide University is committed to recognising the contribution of students’ prior learning towards their program requirements.
Credit may be granted for formal, informal and non-formal learning, with guidance on eligibility provided to prospective students in a clear, transparent and publicly available credit framework.
Credit determinations will be:
- Evidence-based, equitable and transparent.
- Academically sound.
- Applied consistently, fairly and subject to review.
Credit will be granted for prior learning that is relevant and equivalent to the learning required for the courses for which credit is sought.
Credit will only be granted if it:
- Maintains the credibility and integrity of the program for which credit is sought.
- Does not contravene the conditions of the program’s professional accreditation.
- Does not disadvantage the student’s ability to achieve the expected course or program learning outcomes.
For more information, contact the university or visit its website.
Outcomes
Learning outcomes
- Gain advanced skills in artificial intelligence and machine learning.
- Be prepared to step into leadership roles in this exciting and rapidly evolving field.
- 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.
- Develop not only technical expertise but also critical thinking skills essential for navigating the ethical landscape of AI.
Career outcomes
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
Fees and CSP
Estimated student contribution amount per 1.0 EFTSL (48 units) in 2026: $9,537 (Commonwealth Supported Place)
Commonwealth-supported students are charged a portion of the cost of their higher education through a student contribution. Where the duration of the program is less than one year, the total cost of the program is displayed.
Commonwealth Supported Places (CSP)
A Commonwealth Supported Place is a higher education place where the Australian Government subsidises your fees so that you only pay a portion through a student contribution amount.
The amount of student contribution you’ll pay depends on:
- Number of courses you are enrolled in.
- Unit value of courses.
- Funding cluster your courses fall under.
A HECS-HELP loan allows students to borrow from the Australian Government to cover some or all of their student contribution. To be eligible for HECS-HELP, you must be studying in a Commonwealth Supported Place.