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Queensland University of Technology - TEQSA Provider ID PRV12079 Australian University | CRICOS No. 00213J

Master of Robotics and Artificial Intelligence

  • Delivery: Face to Face
  • Study Level: Postgraduate
  • Duration: 18 months
  • Course Type: Master's

Design and develop robotics and automation systems that bring modern industry into the future.

Course overview

QUT’s Master of Robotics and Artificial Intelligence is a 1.5-year full-time postgraduate degree. The degree is designed for students with a background in engineering and a recognised undergraduate degree that specialises within one of the following four engineering fields: computer and software systems, electrical, electrical and aerospace and/ or mechatronics to provide a foundation for continued learning.

QUT is offering Commonwealth Supported Places (CSP) for all eligible domestic students who enrol full-time in the Master of Robotics and Artificial Intelligence.

CSP Subsidised Fees Available

This program has a limited quota of Commonwealth Supported Places (CSP). The indicative CSP price is calculated based on first year fees for EFT. The actual fee may vary if there are choices in electives or majors.

Key facts

Delivery
Face to Face
Course Type
Master's
Duration
18 months (Full time)
Campus
Gardens Point
Intake
22nd February, 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.
14
Fees
More Information
HECS-HELP loans are available to eligible CSP students to pay the student contribution amount.
HECS, CSP

What you will study

To complete the Master of Robotics and Artificial Intelligence, students must fulfil 144 credit points. Each unit is valued at six credit points unless otherwise indicated.

Core units

  • Machine Learning (12 Credit Points)
  • Advanced Dynamic System Principles
  • Foundations of Kinematics and Algorithms in Robotics
  • Robot Anatomy (12 Credit Points)
  • Research Methods for Engineers (12 Credit Points)
  • Project 1 (12 Credit Points)
  • Robot Motion, Control and Planning (12 Credit Points)
  • Reinforcement Learning and Optimal Control
  • Decision and Control
  • Foundations of Robotic Vision (12 Credit Points)
  • Project 2 (12 Credit Points)
  • Entrepreneurship and Applications (12 Credit Points)
  • Robot Systems (12 Credit Points)
  • Advanced Machine Learning (12 Credit Points)

Entry requirements

You must have one of the following:

  • A recognised completed four-year full-time (or equivalent) bachelor's degree of engineering in a relevant discipline with a minimum GPA of 4.00 (on QUT’s 7-point scale).
  • A recognised completed three-year full-time (or equivalent) bachelor's degree of engineering in a relevant discipline plus at least two years full-time (or equivalent) of professional experience in robotics.

Relevant engineering disciplines:

  • Aerospace
  • Computer and Software Systems
  • Electrical
  • Electronics
  • Industrial Automation
  • Instrument Control
  • Mechatronics
  • Robotics

Recognition of Prior Learning

You may be able to have your past studies or work experience count as credit towards your QUT course. QUT call this 'advanced standing'. That means you might not have to complete all the units in your course structure. You may be able to graduate sooner. Exemptions are assessed individually – talk to QUT's Course Consultant for more information.

Outcomes

Career outcomes

This degree can prepare you for a wide range of careers in leading and implementing AI technology in medical technology, self-driving vehicles, cybersecurity, manufacturing systems and more.

Possible careers:

  • AI Analyst  
  • AI Specialist  
  • Computer Vision Engineer  
  • Electrical Engineer  
  • Machine Learning Engineer  
  • Mechatronics Engineer  
  • Robotics Engineer  
  • Software Engineer  

Fees and CSP

Commonwealth Supported Place

Indicative unit fee in 2027: $1,225 (12-credit-point unit equivalent)
Indicative annual fee in 2027: $9,800
Indicative full-course fee: $14,700

The average full-course fee shown is calculated based on the 144 credit point (14 units) course structure completed over one and a half years.

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 eligible CSP students to pay the student contribution amount.