Curtin University

Master of Artificial Intelligence

  • Delivery: Face to Face
  • Study Level: Postgraduate
  • Duration: 12 months
  • Course Type: Master's

Deepen your expertise in machine learning, neural networks and responsible AI while developing practical solutions to complex challenges through advanced research and an industry-based project.

Course overview

Artificial intelligence is transforming how organisations analyse information, automate decisions and respond to complex challenges. Curtin University’s Master of Artificial Intelligence is designed for professionals with a background in information technology, computational science or engineering who want to extend their existing technical capabilities.

You will explore advanced machine learning, neural networks, reinforcement learning, planning under uncertainty and search and logic approaches. The course also examines explainable and responsible AI, helping you consider how intelligent systems can be designed and deployed in line with contemporary standards and expectations.

Advanced research topics and research methodologies support your understanding of emerging AI developments. You will apply your learning through an extensive industry-based computer science project focused on solving a real-world problem.

Delivered on campus at Curtin Perth, the course can be completed in one year of full-time study or an equivalent part-time period. Graduates can strengthen their ability to design, evaluate and communicate responsible AI solutions for complex applications across industry, research and government settings.

Key facts

Delivery
Face to Face
Course Type
Master's
Duration
More Information
Can be studied part time
12 months (Full time)
Price Per Unit
From $4,520.25
More Information
The estimated fee is determined by individual units of study and the year the course was commenced.
Campus
Perth
Intake
8th February, 2027
12th July, 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.
8
Fees
More Information
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.
FEE-HELP

What you will study

To earn the Master of Artificial Intelligence, you must successfully complete units totalling 200 credit points, as detailed below. Unless otherwise noted, each course is worth 25 credit points.

Core units

  • Advanced Artificial Intelligence Research Topics
  • Explainable Approaches to Machine Learning
  • Neural Networks and Statistical Machine Learning
  • Planning and Handling Uncertainty in Machine Learning
  • Reinforcement Learning
  • Search and Logic Approaches in Machine Learning
  • Computer Science Project
  • STEM Research Methodologies
     

Entry requirements

Academic requirements

To be eligible for this course, you must meet one of the following:

  • Hold a recognised four-year bachelor’s degree in information technology, computational science or engineering.
  • Hold a recognised three-year bachelor’s degree in information technology, computational science or engineering and have at least two years of relevant work experience.

Applicants seeking admission through the work-experience pathway must provide evidence of their relevant employment. Curtin identifies either:

  • A letter of employment outlining the applicant’s role and responsibilities.
  • A letter of employment accompanied by a position description.

English-language requirements

Applicants must demonstrate English proficiency equivalent to:

  • IELTS Academic overall band score of 6.0, with a minimum score of 6.0 in reading, writing, listening and speaking.
  • An alternative English-language test or eligible qualification accepted by Curtin, provided you meet the required equivalent scores and conditions.

Contact the university or visit its website for more 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

  • Demonstrate specialised knowledge in different areas of machine learning.
  • Provide innovative, creative and entrepreneurial solutions based on science and analytical methods in artificial intelligence to address real-world applications.
  • Communicate effectively with digital competence solutions that involve expertise in artificial intelligence topics to experts and non-technical audiences.
  • Develop leading-edge technology and expert skills, ensuring compliance with international and professional standards such as IEEE/ACM/ACS/ACSC/ISO.
  • Create artificial intelligence solutions underpinned by ethics, sustainability and social responsibility.
  • Demonstrate initiative, leadership when working independently and collaboratively using problem solving and decision-making skills.

Career outcomes

You may be employed in an industry or government setting as an AI specialist, machine learning engineer, data mining specialist or researcher.

Fees and FEE-HELP

Indicative annual fee in 2026: $36,162 (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.

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