Master's Degree Computer Science Full Time

Master of Artificial Intelligence

at Queensland University of Technology · Brisbane, Queensland

CRICOS course code

117578H

CRICOS provider code

00213J

This course is registered on the Commonwealth Register of Institutions and Courses for Overseas Students. Verify it yourself at cricos.education.gov.au before paying any fee.

Duration

2 years

Tuition (whole course)

A$90,900 total

Per year

A$45,450/yr

Intake

Semester 1 (Feb/Mar), Semester 2 (Jul)

About this program

The Master of Artificial Intelligence at Queensland University of Technology (QUT) is structured to help students develop technical proficiency in AI methods and tools while understanding their application in real-world Australian contexts. Typically taken over two years of full-time study, this postgraduate degree involves units of study totalling a set number of credit points. Coursework may cover machine learning, data analytics, computer vision, natural language processing, deep learning, and the ethical challenges of AI deployment.

Students progress through core and elective units, often culminating in a capstone project or applied research thesis that brings together advanced technical work with industry challenges or academic inquiry. Many students will also have opportunities to undertake work-integrated learning or professional placements, applying their skills with Australian businesses, research institutions or government agencies in Brisbane or beyond. This kind of engagement is central to the way QUT blends classroom and real-world experience.

Graduates will leave with practical skills in designing, implementing, and evaluating artificial intelligence systems, as well as experience communicating their work to non-specialists. This degree best suits those who already have a computer science or closely related background and want to upskill or specialise in AI — whether to pursue a new technical role, contribute to research, or transition to an AI-focused career path.

Australian qualifications such as this one are recognised nationally and respected by employers across sectors like finance, technology, health and resources. International students can confirm English and academic entry requirements on the official QUT page. While studying, eligible students may work up to 48 hours per fortnight, and graduates often explore the Temporary Graduate visa (subclass 485) post-study work stream to gain local experience after completion.

Entry requirements

English: International applicants must evidence English proficiency. IELTS Academic 6.0–6.5 overall is the common undergraduate and coursework-postgraduate standard, rising to 7.0–7.5 for teaching, nursing, medicine, law and social work. TOEFL iBT, PTE Academic, Cambridge C1 Advanced and the university’s own English programmes are accepted as equivalents; the Department of Home Affairs sets a separate English threshold for the Student visa itself.
International students: Registered on CRICOS for international students. A Confirmation of Enrolment (CoE) for this course supports a Student visa (subclass 500) application; Overseas Student Health Cover is required for the full duration.

Career outcomes

  • Artificial Intelligence Engineer
  • Machine Learning Specialist
  • Data Scientist
  • Computer Vision Developer
  • AI Researcher or Academic
  • Roles in sectors like healthcare analytics, fintech, resources, robotics, and government digital strategy
  • Employment with technology firms, consultancies, research institutes, and Australian public sector organisations

Frequently asked questions

How long is the Master of Artificial Intelligence at Queensland University of Technology?

It typically takes 2 years, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).

How much is the tuition?

Tuition is around A$90,900 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Artificial Intelligence EngineerMachine Learning SpecialistData ScientistComputer Vision DeveloperAI Researcher or AcademicRoles in sectors like healthcare analytics, fintech, resources, robotics, and government digital strategyEmployment with technology firms, consultancies, res...

Guides for this subject and the application

All guides →

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