Master's Degree Artificial Intelligence Full Time

Master of Artificial Intelligence

at University of Technology Sydney · Sydney, New South Wales

CRICOS course code

108843D

CRICOS provider code

00099F

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$110,750 total

Per year

A$55,375/yr

Intake

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

About this program

The Master of Artificial Intelligence at the University of Technology Sydney prepares graduates to drive innovation in one of the most dynamic fields of technology. Designed to equip students with advanced knowledge and practical skills, this two-year master's degree delves into core concepts of artificial intelligence, such as machine learning, natural language processing, computer vision, and robotics. The course structure accommodates both theoretical and applied learning, ensuring graduates not only understand AI foundations but can also develop real-world solutions.

Within the Australian Qualifications Framework, this programme comprises units of study totalling a specified number of credit points, as set out by UTS. Typically delivered across semesters, students engage in lectures, laboratory work, and collaborative projects. A highlight of the course is the opportunity to complete a capstone project or research thesis, allowing students to apply their knowledge to industry-relevant challenges and demonstrate their capabilities to future employers. Many students also benefit from work-integrated learning or internships with Sydney-based technology companies, leveraging Sydney’s vibrant digital and AI sector.

Graduates gain hands-on expertise in algorithm design, programming for intelligent systems, data analysis, and ethical considerations in AI deployment. This course is suited to aspiring professionals with a background in computing, mathematics or engineering who wish to specialise in AI or transition into roles that require strong technical and analytical skills. Students are encouraged to confirm unit choices and professional pathways on the official UTS website.

International students are required to evidence English proficiency, with IELTS Academic 6.0–6.5 overall as the common standard. UTS accepts several other English qualifications. Graduates may be eligible for the Temporary Graduate visa (subclass 485) post-study work stream, and can work up to 48 hours per fortnight while enrolled.

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

AI Engineer in Australian technology and innovation companies
Machine Learning Specialist in industries such as finance, healthcare, and robotics
Data Scientist or Analyst within start-ups, large enterprises, and government agencies
Research and Development roles in universities and AI labs
AI Consultant for Australian businesses adopting intelligent technologies

Frequently asked questions

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

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

How much is the tuition?

Tuition is around A$110,750 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

AI Engineer in Australian technology and innovation companiesMachine Learning Specialist in industries such as finance, healthcare, and roboticsData Scientist or Analyst within start-ups, large enterprises, and government agenciesResearch and Development roles in universities and...

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