Master's Degree Computer Science Full Time

Master of Artificial Intelligence

at La Trobe University · Melbourne, Victoria

CRICOS course code

119509E

CRICOS provider code

00115M

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

1.5 years

Tuition (whole course)

A$65,700 total

Per year

A$43,800/yr

Intake

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

About this program

The Master of Artificial Intelligence at La Trobe University in Melbourne provides advanced, specialised training in the design, implementation, and analysis of AI systems. Spanning 1.5 years of full-time study, the course delves into core topics such as machine learning, deep learning, natural language processing, robotics, and ethical considerations in AI. Students also gain proficiency in data analytics, computer vision, and algorithm development, all set within real-world industrial and research frameworks prominent in Australia.

Australian master's degrees are typically structured around units of study, each assigned a specific number of credit points. The La Trobe programme combines advanced coursework with practical learning, allowing students to complete individual and team-based projects. A capstone project forms a key component, wherein students apply their technical and analytical skills to solve industry-based problems, often in collaboration with La Trobe’s partners or local technology firms. Depending on student interests, there may also be scope for work-integrated learning, fostering professional experience alongside academic development.

Graduates develop a robust skillset comprising programming (commonly Python and R), advanced mathematics, critical thinking and problem-solving in computer science, and the ethical deployment of AI. This course is suited to individuals with a prior background in computing or related fields who aspire to lead AI projects or undertake research across business, engineering, health, or creative technology sectors. The Melbourne setting places students at the heart of a thriving technology hub, with robust connections to industry and research innovation.

International students enrolled in this course are eligible for work rights of up to 48 hours per fortnight while studying and may become eligible for post-study work under Australia’s Temporary Graduate visa (subclass 485) upon graduation. English language requirements include an accepted proficiency test such as IELTS Academic 6.0–6.5 or equivalent. Further entry and course details should be confirmed on the official La Trobe University and CRICOS websites.

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
  • AI Researcher
  • Software Developer (AI applications)
  • Business Intelligence Analyst
  • Roles with Australian technology start-ups, research institutes, and sectors such as health, finance, and advanced manufacturing

Frequently asked questions

How long is the Master of Artificial Intelligence at La Trobe University?

It typically takes 1.5 years, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).

How much is the tuition?

Tuition is around A$65,700 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Artificial Intelligence EngineerMachine Learning SpecialistData ScientistAI ResearcherSoftware Developer (AI applications)Business Intelligence AnalystRoles with Australian technology start-ups, research institutes, and sectors such as health, finance, and advanced manufacturing

Guides for this subject and the application

All guides →

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