Master of Applied Artificial Intelligence

What you will study

To earn the Master of Applied Artificial Intelligence, you must successfully complete units totalling 16 credit points, as detailed below. Unless otherwise noted, each course is worth 1 credit point.

Core units

Part A: Foundation Information Technology Studies

• Object-Oriented Development
• Database Fundamentals
• Software Requirements Analysis and Modelling
• Web Technologies and Development

Part B: Fundamental Artificial Intelligence Studies

• Machine Learning
• Mathematics for Artificial Intelligence
• Engineering AI Solutions
• Human Aligned Artificial Intelligence

Part C: Mastery Applied Artificial Intelligence Studies

• Deep Learning
• Reinforcement Learning
• Robotics, Computer Vision and Speech Processing
• Natural Language Processing

Part D: Applied Artificial Intelligence Capstone Studies

• Professional Practice in Information Technology
• Team Project (A) – Project Management and Practices (Capstone)
• Team Project (B) – Execution and Delivery (Capstone)

Team Project (A) and Team Project (B) collectively comprise the two-part capstone project. Both units must be successfully completed in sequence.

Students must also complete one postgraduate level 7 elective from approved information technology or information systems units.

Course electives are subject to prerequisites and availability. Visit the university website for the complete and most up-to-date list of available electives.

Entry requirements

Academic requirements

The course has three entry points based on applicants’ previous qualifications and relevant professional experience.

2 years full-time (or equivalent part-time) – 16 credit points

To be eligible for the 16-credit-point pathway, applicants must:

• Hold a bachelor's degree or higher in any discipline.

1.5 years full-time (or equivalent part-time) – 12 credit points

To be eligible for the 12-credit-point pathway, applicants must meet at least one of the following requirements:

• Hold a bachelor's degree or higher in a related information technology discipline.
• Hold a bachelor's degree or higher in any discipline and have at least two years of relevant information technology work experience, or part-time equivalent.

Eligible applicants receive 4 credit points of recognition of prior learning.

1 year full-time (or equivalent part-time) – 8 credit points

To be eligible for the 8-credit-point pathway, applicants must meet at least one of the following requirements:

• Hold a graduate certificate or graduate diploma in an artificial intelligence-related discipline.
• Hold a bachelor's honours degree in an artificial intelligence-related discipline.
• Hold a bachelor's degree in a related information technology discipline and have at least two years of relevant information technology work experience, or part-time equivalent.

Eligible applicants receive 8 credit points of recognition of prior learning.

Artificial intelligence-related disciplines may include artificial intelligence, business intelligence, business analytics, computational mathematics and machine learning.

Selection considers academic merit, work experience, likelihood of success, availability of places, participation and regulatory requirements and individual circumstances. Meeting the minimum requirements does not guarantee admission.

Mandatory student checks

Students selecting an elective involving work-integrated learning, community placement or interaction with the community may be required to complete a police check, Working with Children Check or other mandatory checks. Requirements will be confirmed in the relevant unit information.

English language requirements

Applicants must provide evidence of at least one of the following:

• A bachelor's degree completed in a recognised English-speaking country.
• An IELTS overall score of 6.5, with no individual band score below 6.0, or an accepted equivalent.
• Other accepted evidence of English language proficiency.

Contact the university for further information.

Recognition of Prior Learning

You may be eligible for recognition of prior learning if you have previously studied or have relevant work experience. This will help reduce the number of units you need to study to finish your course. Contact the university for more information.

Outcomes

Learning outcomes

• Develop an advanced and integrated knowledge of the technologies of artificial intelligence, including deep learning and reinforcement learning, with detailed knowledge of the application of AI algorithms across a range of domains and applications including computer vision and speech processing.
• Design, develop and implement software solutions that incorporate novel applications of artificial intelligence.
• Apply advanced knowledge of artificial intelligence to the research and evaluation of AI solutions and provision of specialist advice.
• Design artificial intelligence solutions that incorporate safe ethical decision making.
• Communicate in professional and other context to inform, explain and drive sustainable innovation through artificial intelligence and to motivate and effect change by drawing upon advances in technology, future trends and industry standards, and by utilising a range of verbal, graphical and written methods, recognising the needs of diverse audiences including specialist and non-specialist clients, industry personnel and other stakeholders.
• Identify, evaluate, select and use digital technologies, platforms, frameworks, and tools from the field of artificial intelligence to generate, manage, process and share digital resources and justify digital tools selection to influence others.
• Questions assumptions and seeks to uncover inconsistencies and ambiguities in information and judgements, critically evaluates their sources and rationales, to inform and justify decision making in the field of artificial intelligence.
• Apply expert, specialised cognitive, technical, and creative skills from artificial intelligence to understand requirements and design, implement, operate, and evaluate solutions to complex real-world and ill-defined computing problems.
• Apply reflective practice and work independently to apply knowledge and skills in a professional manner to complex situations and ongoing learning in the field of artificial intelligence with adaptability, autonomy, responsibility, and personal and professional accountability for actions as a practitioner and a learner.
• Work independently and collaboratively within multidisciplinary environments to achieve team goals, contributing advanced knowledge and skills from artificial intelligence to advance the teams objectives, employing effective teamwork practices and principles to cultivate creative thinking, interpersonal adeptness, leadership skills, and handle challenging discussions, while excelling in diverse professional, social, and cultural scenarios.
• Engage in professional and ethical behaviour in the field of artificial intelligence, with appreciation for the global context, and openly and respectfully collaborate with diverse communities and cultures.

Career outcomes

Graduates may pursue roles including:

• Artificial intelligence technology software engineer
• Application programming interface integration expert
• Artificial intelligence researcher
• Data scientist
• Language model trainer
• Prompt engineer
• Natural language processing engineer
• Artificial intelligence product manager
• Artificial intelligence ethicist
• Artificial intelligence architect
• Machine learning engineer

Fees and FEE-HELP

Indicative annual fee in 2026: $8,937 (Commonwealth Supported Place)

Indicative annual fee in 2026: $34,400 (Full-fee paying place)

Indicative annual fees are based on your first year of study.

A student’s annual fee may vary by:

• The number of units studied.
• 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 the course you're enrolled in.
• Dependent on the study areas they relate to.
• Reviewed and adjusted each year.

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

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.