- Duration 24 months
- Subjects 12 subjects
(150 credit points) - Fees $5,080 per 12.5
credit point subject* - Intakes July, August, October, January, March, May
Why study the Master of Artificial Intelligence online with the University of Melbourne?
Designed by the human intelligence shaping the future of AI
Forget what you know about traditional university learning. At Australia's #1 university for Data Science & AI1, you’ll learn from leading academics who are transforming industries with world-first AI models and cutting-edge research. Their visionary insights are woven into your learning, so you can set the pace of AI, while others chase it.
1QS World University Rankings (by subject), 2025
Build lasting AI mastery in an evolving field
Establish yourself as a recognised AI expert. Develop a timeless skill set that goes far beyond short courses and current tools to stay relevant as AI advances. Gain in-demand mastery across core AI technologies and subfields by applying your knowledge through real case studies and industry projects.
You're in control of your learning
Wherever you are, you can take charge of your learning experience. Whether this means engaging live or when it suits you; taking breaks or accelerating; connecting with others or running your own race. You're in control – of your work, study and life.
Course highlights
- Develop the mindset to think like an AI expert
- Master the technical and strategic mechanics of AI to confidently drive impact in your organisation or step into a new AI-focused career
- Build a versatile AI toolkit that can be applied across multiple industries, roles and business contexts
- Drive performance with the ability to design and deploy agent-based models
- Lead responsible AI integration by combining technical expertise with ethical insight
- Tailor your learning to how you want to use AI in your career with the choice of two elective streams.
Learn from world-leading academics
Be guided by the human intelligence behind world-first AI models influencing how AI is applied across industries like defence, health, justice and aerospace. Download your course guide for more information on the team behind the Master of Artificial Intelligence course at Australia’s #1 university for Data Science and AI (QS World University Ranking by subject 2025).
AI in space
Associate Professor Lipovetzky’s recent work explores open-source farmbots, sensors, AI systems and facial analysis to study food growth conditions and eating experiences in microgravity to improve astronaut nutrition in space.
Making AI safer
Awarded the 2024 Women in AI Award for Defence and Intelligence, Professor Erfani’s work ensures AI outputs can be confidently used in high-stakes environments such as defence, government and critical infrastructure.
AI in medicine
Dr Mohammad Golzarijalal’s work demonstrates how machine learning can significantly improve pharmaceutical manufacturing processes, enabling faster and more efficient and more reliable medicine production.
Is our online AI masters right for you?
Whether you’re an experienced IT professional or changing careers completely, our online Master of Artificial Intelligence equips you with the technical foundations needed to build credibility in the field of AI.
- Looking to expand your AI toolkit
- Already using AI in your role and ready to move into specialised or senior AI positions
- Seeking to strengthen your technical skills and explore more advanced AI concepts
- Wanting to build confidence applying advanced AI techniques to achieve business objectives
- Looking for flexible study options that fit around your existing commitments
If this sounds like you, you may be awarded up to 50 points of credit. See if you qualify.
- Without formal study or work experience in IT, but experienced in roles where AI or data-driven technologies are used to improve processes, decisions or outcomes
- Curious about AI and seeking formal training to better understand and build AI solutions
- Motivated to learn programming and mathematical reasoning, while developing in-demand technical AI skills
- Wanting practical, hands-on projects to apply AI solutions in real-world contexts
- Valuing the opportunity to learn alongside industry experts as you transition into a technical career.
Does this sound like you? Find out if you meet the entry requirements.
Career outcomes
It’s no secret that AI is quickly moving from corporate buzzword to business backbone. In fact, over half of Australian CEOs expect it to become a core component of business strategy within three years2.
As a result, Australia is projected to create 200,000 new AI-related roles by 20303. This rewards professionals who are actively building their AI capabilities by strengthening their employability as AI skill demand increases.
As AI continues to evolve and new roles emerge, the online Master of Artificial Intelligence will help you build expertise you can apply across industries. With your experience and interests influencing the direction you take, this transformative qualification can support progression into roles such as:
- AI Capability Lead
- AI Governance Analyst
- AI Solution Engineer
- AI Solutions Consultant
- AI Strategy Consultant
- Chapter Area Lead – Deep Learning, GenAI
- Cloud and AI Solution Engineer
- Data and Evaluations Officer
- Digital Development Manager
- Digital Learning Specialist
- Digital Systems Lead
- Founder
- Head of AI
- Implementation Consultant
- Lead AI and Automation Engineer
- Learning Designer
- Technology Change Manager.
2 How AI is impacting Australia’s jobs and workers, PWC, 2025
3 AI to create 200,000 jobs in Australia by 2030, Tech Council of Australia, 2024
Subjects of study
Take your technical expertise further with this online artificial intelligence masters from the University of Melbourne. Designed for professionals at different stages of their technical journey, the course supports both experienced specialists looking to advance their AI capability and those looking to transition into AI-focused roles.
Across 12 subjects, you’ll develop a strong understanding of core AI technologies, gain confidence and practical skills to deliver future-ready impact.
arrow_right_altDownload your course guide for more information
Compulsory subjects
Be equipped with essential programming and problem-solving techniques tailored to the field of Artificial Intelligence.
Discover the fundamentals of computational efficiency and many of the classical algorithms and data structures that solve key computational questions.
Design and implement machine learning solutions to help solve real-world challenges.
Explore fundamental concepts, methodologies and applications of artificial intelligence by applying them to solve real-world problems.
Learn to design intelligent agent behaviours for real-world scenarios, equipping agents to plan, adapt, and solve problems in dynamic environments.
Explore the theoretical foundations and practical applications of deep learning and foundation models.
Focus on the computational challenges and techniques associated with processing and analysing various data modalities, including text, images and audio.
Learn to identify potential risks and unintended consequences of AI. By the end of the subject, you will be well-prepared to contribute and communicate thoughtfully in discussions on AI ethics and to approach AI development with awareness of its broader societal implications.
Elective streams
Complete both subjects from your chosen elective stream.
Technology stream
Master the tools and techniques behind tomorrow’s AI breakthroughs.
In the technology stream, you’ll learn how to design advanced algorithms, engineer AI agents and shape the systems behind emerging technologies. This pathway is perfect if you’re inspired by innovation and want to turn ideas into real-world AI impact.
Gain a deeper understanding of the role of AI in enhancing user experiences and designing intelligent interactive systems.
Examine key issues in ensuring that AI systems are robust, interpretable, fair and aligned with societal expectations. By the end of this subject, you will be able to assess, design and build AI systems that are dependable and trustworthy in real-world contexts.
Application stream
Bring AI to life in organisations through the application stream.
In this stream, you’ll learn how to deploy AI responsibly, make strategic decisions and turn complex tools into practical solutions. This stream is ideal for strategic thinkers who want to lead AI projects and make a tangible impact.
Build a strong understanding of the mathematical principles underlying autonomous agents. On completion of this subject you will be able to design, implement and evaluate sophisticated autonomous agents capable of operating effectively in real-world, continuous environments.
Gain a comprehensive understanding of how to analyse, model and simulate intricate real-world scenarios using computational techniques.
Pathways
Complete both subjects from your chosen pathway.
Coursework pathway
Delivered through two capstone subjects, this pathway provides the opportunity to showcase your ability to design and implement innovative AI solutions.
By building your capability through hands-on projects, your capstone experience ultimately prepares you for technical and AI leadership roles across diverse industry settings. Master the tools and techniques behind tomorrow’s AI breakthroughs.
Serving as the first part of your capstone experience, you will bridge theoretical understanding with practical implementation through a complex AI project.
You will:
- Identify and analyse AI-related problems
- Design and justify appropriate research methodologies
- Develop implementation plans for innovative AI solutions
- Engage with relevant stakeholders, considering diverse perspectives and requirements in their project development.
Serving as the second part of your capstone experience, you will put AI-based solutions into practice using the plan you developed in part one (AI Research and Development).
Research pathway
Conduct a thorough investigation of a significant problem of your choice that is related to AI. This pathway option is designed to equip you with the skills needed to perform rigorous and impactful research in your field.
The research pathway is intended to equip you with a viable pathway to a PhD in artificial intelligence.
Explore a significant problem in AI through this research-based subject. This subject provides you with the opportunity to conduct an AI research project under the guidance of an academic supervisor. This subject also serves as a suitable pathway to a PhD.
Building on the problem you identified in Part A, you will continue with AI research project under the guidance of an academic supervisor. This subject serves as a suitable pathway to a PhD.
You’re in control of your learning experience
- Find freedom with the choice of how and where you study
- Have more control over your learning with the ability to take breaks from study when needed
- Receive ongoing one-on-one support from application through to graduation
- Access resources and support systems designed to help you succeed
- Experience personalised interactions from expert educators who value your development
- Gain a competitive edge with a recognised qualification from Australia’s top university (QS, 2026).
Find out more about the online experience at the University of Melbourne.
Entry requirements
In order to be considered for entry, applicants must have completed either:
- An undergraduate degree (or equivalent) in Information Technology or a related field with a Weighted Average Mark (WAM) of at least 65% (or equivalent) or
- An undergraduate degree (or equivalent) in any discipline, with a Weighted Average Mark (WAM) of at least 65% (or equivalent) AND 2+ years of relevant full-time work experience or
- 6+ years of relevant full-time work experience.
Meeting these requirements does not guarantee selection.
arrow_right_alt Download your course guide for more information
Already working in a technical role or have relevant study behind you? Fast-track your masters via Recognition of Prior Learning (RPL).
You may be eligible if you have completed a qualification in any field, including technical or non-technical disciplines.
Examples of related study areas include (but are not limited to):
- Artificial Intelligence, Machine Learning or Data Science
- Business, Management or Economics
- Computer Science, Engineering, or Information Technology
- Design, UX, or Creative Industries
- Health, Education or Psychology
- Law, Policy or Social Sciences
- Mathematics, Statistics or Physics.
You may also be eligible based on your professional experience. This includes roles where technical skills are applied directly, as well as roles where artificial intelligence or data-driven technologies could be used to improve processes, decision-making or outcomes.
Examples of relevant experience may include:
- Business or operations roles
- Education roles
- Finance or administration roles
- Health or community roles
- IT, systems, or network roles
- Law or public policy roles
- Marketing or communications roles
- Research or analytical roles
- Software, data, AI, or machine learning roles.
All applicants to the University of Melbourne must satisfy the English language requirements. This may be achieved in a number of ways, including recognised previous study taught and assessed entirely in English or an approved English language test.
If you are from a non-English speaking background, the required standard of English for this degree is one of the following English proficiency test scores:
- IELTS: 6.5 (with no band less than 6.0);
- TOEFL: 81 (with writing 19, speaking 19, reading 16, listening 16);
- Pearson: 64 (with no communicative skill below 60);
- Cambridge C1 Advanced: 169 (with writing 170, speaking 179, reading 163, listening 163);
- LanguageCert Academic: 67 (with writing 64, speaking 70, reading 60, listening 57);
- MET: 58 (with writing 57, speaking 48, reading 55, listening 56).
In ranking applications, the Selection Committee will consider:
- Prior academic performance; and, if relevant
- Professional experience.
The Selection Committee may seek further information to clarify any aspect of an application in accordance with the Academic Board rules on the use of selection instruments.
Applicants are required to satisfy the university's English language requirements for postgraduate courses. For those applicants seeking to meet these requirements by one of the standard tests approved by the Academic Board, performance band 6.5 is required. In considering students under special entry access schemes, the Selection Committee will consider aspects of disadvantage as set out from time to time in the University of Melbourne Graduate Access policy, evidence of rurality for rural applicants, and confirmation of Aboriginality for Indigenous applicants.
Recognition of Prior Learning
Recognition of prior learning (RPL), also known as advanced standing, may be available for those with relevant study or professional work experience.
Applicants with the following may be awarded up to 50 points of credit:
- An undergraduate degree in a related field with a weighted average mark of at least 65% or equivalent and two years of relevant full-time work experience or
- A four-year Honours degree in Information Technology with a weighted average mark of at least 65% or equivalent or
- A Graduate Certificate in Artificial Intelligence or equivalent.
You may be eligible if you have completed a qualification with strong technical or information systems content. Example study areas include:
- Applied Mathematics
- Artificial Intelligence or Machine Learning
- Bioinformatics or Computational Biology
- Computational Science or Computer Engineering
- Data Science or Statistics
- Engineering (Software, Electrical, Mechatronics, Network or Robotics)
- Information Technology or Telecommunications
- Physics.
Professional experience may lead to RPL where your role involved technical computing, data analysis, software development, use of AI or machine learning tools. Examples of relevant roles include:
- AI or Machine Learning Engineer
- Data Analyst or Data Scientist
- Database Manager
- IT Manager
- Network or Systems Engineer, Systems Analyst
- Product or Operations Manager
- Research Assistant (computational focus)
- Software Developer or Software Engineer.
Applicants may be required to provide a CV or other supporting documentation as part of the assessment process.
Speak with our team for personalised course advice.
Fees and FEE-HELP
Cost per 12.5 credit point subject: $5,080*
Total indicative cost: $64,008*
Total indicative cost with RPL: $41,656*
FEE-HELP is a loan that can cover all or part of tuition fees for eligible students. The Australian Government pays the amount of the loan direct to the University. It enables you to borrow the amount of your tuition fees and then pay that loan back once you are in the workforce and earning at a specified level or you can make voluntary repayments to the ATO at any time.
For more information, including eligibility for FEE-HELP, download your Master of Artificial Intelligence course guide.
*Fees are subject to annual review by the university, with any new rates effective from the beginning of each calendar year.
Designed for impact
“At Australia’s leading institution for Data Science & AI, you’ll receive knowledge from academics who are actively shaping the AI landscape. We don’t simply teach AI; we empower you to master its mechanics, enabling you to innovate and strategically address complex real-world challenges.”
Associate Professor Nir Lipovetzky
Course Director, online Master of Artificial Intelligence
Enquire and receive your course guide
Discover more information on our courses, including:
- Entry requirements
- Career outcomes
- Subject descriptions
- Fees and FEE-HELP.
Related course
Explore the online Graduate Certificate in Artificial Intelligence
Frequently asked questions
Yes, a Master of Artificial Intelligence is especially worth pursuing if you want to develop technical AI expertise. AI’s rapid growth is creating strong demand for skilled professionals, making AI expertise highly valuable in the job market according to PwC’s 2025 Global AI Job Barometer.
This makes the online Master of Artificial Intelligence from the University of Melbourne particularly beneficial, as it focuses on equipping you with a timeless and technical skill set to build AI solutions. It does this by providing hands-on experience with AI models and solvers through case studies and industry projects.
The Master of Artificial Intelligence combines case studies, practical projects and strong theoretical foundations to develop industry-ready skills. The Master of Artificial Intelligence curriculum is designed to equip you with holistic, practical AI expertise so you can confidently think like an AI expert. For example, not only will you understand core principles of AI, such as machine learning and programming, but you’ll also understand how to design, implement and improve AI systems.
The online Master of Artificial Intelligence is ideal for professionals with a background in information technology, computer science, engineering, mathematics, or related fields who want to take their AI expertise to the next level. It’s also perfect for those looking to transition into AI-focused careers or lead AI-driven projects within their current industries.