Master of Artificial Intelligence

Duration

1.5-2 years (full-time) or 3-4 years (part-time)

Type

Coursework

Intakes

February and July

Fees

In 2026, the tuition fees for the course are:

General fees

• Application (once only) - RM100
• Registration (once only) - RM200
• General amenities (per semester) - RM100
• International student pass application - Click here.

Credit exemption

You can accelerate your study and graduate in 1.5 years if you have a previous IT-related qualification. If you don't have a background in IT, our foundation units will prepare you for the course at no additional cost.

The Master of Artificial Intelligence course comprises 96 credit points structured into three parts:

Part A. Foundations for advanced artificial intelligence studies (24 credit points)

These studies will provide an orientation to the field of artificial intelligence at graduate level. They are intended for students whose previous qualification is not in a cognate field.

• Introduction to databases
• Algorithms and programming foundations in Python
• Introduction to computer architecture and networks
• Mathematical foundations for data science.

Part B. Core master's studies (48 credit points)

These studies will provide an orientation and draw on best practices within the broad field of artificial intelligence practice and research. You will gain a critical understanding of theoretical and practical issues related to artificial intelligence. Your studies will focus on fundamentals, core knowledge, and the application of artificial intelligence.

• Fundamentals of artificial intelligence
• Project management
• IT research methods
• Machine learning
• Deep learning
• Modelling discrete optimisation problems
• Multi agent systems and collective behaviour
• Intelligent image and video analysis OR Malicious AI.

Part C. Advanced practice (24 credit points)

These studies focus on professional or scholarly work that can contribute to the portfolio of professional development in AI. You will have two options:

• A coursework program involving advanced study and an industry experience studio project.
• A research pathway including a thesis. If you wish to use this master’s course as a pathway to a higher degree by research you should take this option.

More information

The Monash University Handbook has detailed information about the course structure and requirements.

View the course map here.

Quality education

Monash University is ranked #48 in the world for data science and artificial intelligence (QS World University Rankings by Subject 2026). Your degree will be recognised wherever you want to work or study.

Enter a new field

You don't need a degree in IT to study the Master of Artificial Intelligence course. If you're looking for a career change or a new challenge, this course includes foundation units in programming, computer architecture and mathematics or statistics that will give you the knowledge needed to complete the course.

Accelerate your study

If you have an IT-related qualification from previous studies, you may be exempted from the foundation units and graduate in 1.5 years of full-time study.

Get practical

You'll study a broad range of technical subjects related to the fundamentals of AI and applied AI skills, which will prepare you to tackle real-world challenges.

Personalise the course

You can either complete a research project under the guidance of an internationally-recognised expert (as a potential pathway to a PhD) or engage in an industry experience studio project. This hands-on training lets you implement everything you’ve learned and ensures your job readiness upon graduation.

Flexibility

Choose between full-time or part-time study. As a part-time student, you’ll have access to the same resources as your full-time peers.

Bursaries

Are you a Monash alum? Receive a 10% tuition fee waiver when you successfully enrol in the Master of Artificial Intelligence course. Click here for more details.

The Master of Artificial Intelligence prepares you for many in-demand professions, including:

• AI engineer
• AI data analyst
• Big data engineer
• Business intelligence developer
• Natural language processing engineer
• Machine learning engineer
• Research scientist.

To enter Monash University, you must satisfy particular academic, English language and age requirements.

To apply for the Master of Artificial Intelligence, you must meet either one of the criteria below:

Entry level 1: Up to 96 points to complete (Duration: 2 years full-time, 4 years part-time)

• An Australian bachelor degree (or equivalent), not necessarily in IT, with a minimum WAM 60.

Entry level 2: Up to 72 points to complete (Duration: 1.5 years full-time, 3 years part-time)

• An Australian bachelor degree or equivalent in a cognate discipline relating to IT, or an engineering or science degree with a substantial IT component including Python programming, algorithms, databases, computer architecture, operating systems and networks, and mathematics (including calculus, linear algebra and probability and statistics), with a minimum WAM 60 or equivalent.

The pathway to Entry Level 1 or Entry Level 2 is subject to an internal assessment of the applicant's qualification to conform to the MQA Program Standards for Computing.