Master of Artificial Intelligence

What you will study

To qualify for the award of Master of Artificial Intelligence, students must complete 240 credit points consisting of:

• 180 core credit points
• 60 specialisation-stream credit points

Level One

• Academic Integrity Module  
• Information Technology Fundamentals  
• Introduction to Programming  
• Database Fundamentals  
• Cyber Security Principles  
• Artificial Intelligence Fundamentals  
• Machine Learning  
• Data Mining  
• Deep Learning  

Level Two

• Project Management  
• Computer Vision  
• Natural Language Processing  
• Professional Practices And Entrepreneurship In Information Technology  

Specialisation - Streams

• Project
• Thesis
• Industry based learning

Entry requirements

Prerequisites

• Successful completion of an Australian bachelor's degree (or equivalent).

Note: Meeting minimum prerequisites does not guarantee a place offer. Entry into all La Trobe courses is based on competitive selection, and there may be limited places available.

Recognition of Prior Learning

Credit for previous study (advanced standing) is the recognition of prior study or learning that can be counted towards a qualification. This can reduce the number of subjects required to complete your course. The amount of credit received depends on the level and relevance of your previous study and the number of subjects completed.

The University will designate courses where there is only admission into Year 1 of the course. In these cases, there is limited credit. See list of limited entry courses.

To check if this course is available for credit, please visit the Advanced standing webpage.

Outcomes

Learning outcomes

• Apply advanced understanding of fundamental issues and techniques in information technology to a specialised area in artificial intelligence.
• Critically evaluate and design solutions to technical problems in artificial intelligence.
• Synthesise and test theories in IT using research and technical skills.
• Apply professional communication skills to articulate complex artificial intelligence issues to diverse audiences.
• Integrate IT principles and research to develop and justify artificial intelligence solutions to complex problems in a specialist area.
• Apply awareness of contemporary social and ethical issues to professional decision-making in artificial intelligence and computer science.

Career outcomes

• AI Consultant, Developer or Solutions Architect
• Machine Learning Engineer or Specialist
• Software Engineer
• Data engineer or Scientist
• Research Analyst

Fees and CSP

Estimated fees per year (2025): $34,200 (domestic full-fee paying place)

Estimated fees per year (2025): $9,314 (Commonwealth Supported Place)

All costs are calculated using current rates and are based on a full-time study load of 120 CP for one year.

A student’s annual fee may vary in accordance with:

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

Student fees shown are subject to change. Contact the university directly to confirm.

Commonwealth Supported Places

The Australian Government allocates a certain number of CSPs to the universities each year, which are then distributed to students based on merit.

If you're a Commonwealth Supported Student (CSS), you'll only need to pay a portion of your tuition fees. This is known as the student contribution amount – the balance once the government subsidy is applied. This means your costs are much lower. 

Limited CSP spaces are offered to students enrolled in selected postgraduate courses.

Your student contribution amount is:

• Calculated per unit you're enrolled in.
• Dependent on the study areas they relate to.
• Reviewed and adjusted each year.

HECS-HELP loans are available to CSP students to pay the student contribution amount. 

FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.