University of Melbourne

Master of Artificial Intelligence Online

  • Delivery: Online
  • Study Level: Postgraduate
  • Duration: 24 months
  • Course Type: Master's

Build the expertise to shape what’s next in AI. Develop the technical skills and ethical insight to design and deploy intelligent solutions with the University of Melbourne’s online Master of Artificial Intelligence.

Ready to take the next step?

Download your course guide and connect with a study advisor to explore:

  • Course structure
  • Learning outcomes
  • Fees
  • Entry requirements

By submitting this form, you acknowledge that Study Next will collect your personal information (including your name, phone number and email address) to respond to your enquiry. To learn more, refer to our privacy policy.

*All fields required

1 of 3

Course overview

Turn your interest in artificial intelligence into the capability to create practical solutions. The University of Melbourne’s online Master of Artificial Intelligence supports professionals advancing their technical expertise or moving into AI-focused careers, with learning informed by leading academics and contemporary research.

Build a foundation in programming, machine learning, algorithmic thinking and deep learning. Explore how intelligent agents plan and make decisions, while examining the ethical and societal implications of AI development.

Align your studies with your ambitions through two elective streams. Choose Technology to develop autonomous agents and multi-agent systems, or Application to explore interactive AI, assurance and trust. Apply your learning through coursework capstone projects or pursue a research pathway that can support progression towards a PhD.

Flexible online learning lets you engage live or access learning when it suits you. Develop the technical and strategic capability to contribute to AI innovation, responsible implementation and leadership across diverse industries.

Key facts

Delivery
Online
Course Type
Master's
Duration
24 months (Part time)
Price Per Unit
From $5,284
More Information
Prices are calculated based on a part-time study load of 12 subjects or 150 credit points.
Intake
January, 2027
March, 2027
May, 2027
July, 2027
August, 2027
October, 2027
Units
More Information
You may be required to complete 0 credit point units throughout your course. The university will confirm this as part of your enrolment.

The unit total reflects the number of units required for course completion, not the total credit point weight. Some units may be double- or triple-weighted, so the number of units you complete may be lower.
12
Fees
FEE-HELP

What you will study

To successfully graduate from the Master of Artificial Intelligence, students must complete 150 credit points

  • AI Programming Fundamentals
  • Algorithmic Thinking
  • Machine Learning
  • Foundations of AI
  • AI Planning for Autonomy
  • Deep Learning and Foundation Models
  • Learning in Multiple Modalities
  • AI in Society

Students will choose an elective steam and complete two subjects from your chosen elective stream

Technology stream

  • Autonomy and Optimisation Agents
  • Multi-Agent Systems

Application stream

  • Interactive AI
  • AI Assurance and Trust

Entry requirements

Admission criteria

You must have one of the following to be considered for this course.

  • An undergraduate degree (or equivalent) in information technology or a related field with a Weighted Average Mark (WAM) of at least 65% (or equivalent).
  • An undergraduate degree (or equivalent) in any discipline, with a Weighted Average Mark (WAM) of at least 65% (or equivalent) and two years of relevant full-time work experience.

English language requirements

  • Applicants are required to satisfy the University's English language requirements for graduate courses. For those seeking to meet these requirements through a standard test approved by the Academic Board, a performance band of 6.0 is required.

Recognition of Prior Learning

Prior studies may be credited towards your degree and potentially reduce the duration of your course. This is known as Advanced Standing (also known as credit or recognition of prior learning).

Outcomes

Learning outcomes

  • Apply programming, machine learning and advanced AI methods to solve real-world problems.
  • Design intelligent agents that plan, adapt and make decisions in changing environments.
  • Evaluate the ethical risks and societal implications of AI to support responsible implementation.
  • Develop specialist capability in autonomous systems or the practical application and assurance of AI.
  • Apply your expertise through industry-focused capstone projects or supervised AI research.

Career outcomes

Depending on your professional background, experience and chosen study stream, this qualification can support progression into roles such as:

  • AI Capability Lead
  • AI Governance Analyst
  • AI Solution Engineer
  • AI Solutions Consultant
  • AI Strategy Consultant
  • Cloud and AI Solution Engineer
  • Digital Development Manager
  • Digital Systems Lead
  • Head of AI
  • Implementation Consultant
  • Lead AI and Automation Engineer
  • Technology Change Manager

The research pathway can also support progression towards a PhD in artificial intelligence, subject to admission requirements.

Fees and FEE-HELP

Cost per 12.5 credit points in 2027: $5,216 (domestic full-fee paying place)

Estimated total cost for 12 subjects in 2027: $66,578 (domestic full-fee paying place)

Fees are subject to annual review by the university, with any new rates effective from the beginning of each calendar year.

A student’s fee may vary depending on:

  • The number of subjects studied per term.
  • The choice of major or specialisation.
  • Choice of subjects.
  • Credit from previous study or work experience.
  • Eligibility for government-funded loans.

You may also need to pay the student services and amenities fee.

FEE-HELP loans are available to assist eligible full-fee paying domestic students.