Duration
1.5 years full time / 3 years part time
Mode (Location)
Online
Intake
June, August, October
Key dates
Key dates
Fees
AUD $30,480 (2026 indicative first year fee). Commonwealth Supported Places (CSPs) are not available
Learn more
Learn more
Course structure
Overview
100% online flexible learning
Our online Master of Artificial Intelligence is designed to fit your life. You’ll study one subject at a time, giving you more breaks throughout the year and helping you achieve deeper focus.
Study where and when it suits you, so you’re in control.
Structure:
- 12 subjects (150 credit points)
- 8 core subjects
- 2 elective stream subjects
- 2 pathway-focused subjects
- Graduate in as soon as 24 months.
Elective streams
Hone your AI expertise with two stream options aligning to your career goals.
Technology stream
Develop the technical foundations behind tomorrow’s AI innovations in the technology stream. You’ll learn to design advanced algorithms, engineer AI agents and build the systems powering emerging technologies.
This stream is ideal if you’re motivated by innovation and want to turn technical ideas into real-world AI solutions.
Application stream
Apply AI to organisational contexts through the application stream. In this stream you will learn how to deploy AI responsibly, make informed strategic decisions and translate complex business challenges into practical AI solutions.
This stream suits strategic thinkers who want to lead AI initiatives and deliver measurable impact.
Pathways
After completing your core and elective stream subjects, you will have the choice of completing the coursework or research pathway.
Coursework pathway
Delivered through two hands-on, project-based capstone subjects, the coursework pathway provides the opportunity to design and implement AI solutions. This pathway aims to build your technical confidence and leadership capability needed for AI-focused roles across diverse industries.
Research pathway
In this track, you will undertake an impactful research project focused on an AI-related problem of your choice.
This pathway is intended to support progression toward a PhD in artificial intelligence.
Profile
Nir Lipovetzky
Associate Professor Nir Lipovetzky is the Course Director of this course. His research focuses on artificial intelligence planning, heuristic search, learning, and intention recognition. His work centres on developing novel inference methods for sequential decision-making problems.
A key focus of Professor Lipovetzky’s research connects AI planning with real-world applications, including autonomous systems for agriculture and computational sustainability. He is actively involved in building tools that support education and technology transfer, contributing to open-source platforms such as planning, domains, LAPKT and Planimation.
Nir’s research excellence has been recognised with multiple international awards, including:
- Best dissertation
- Paper and system demonstration prizes at leading conferences such as ICAPS, AAMAS and nternational Planning Competitions
- He was also featured in the IJCAI Early Career Spotlight.
Nir has held major leadership roles in the AI community, including Program and Conference Chair of ICAPS 2019 and 2025.
Explore this course
Explore the subjects you could choose as part of this degree.