Artificial Intelligence - C6007

Artificial Intelligence

Master's degree

At Monash, you’ll learn from the best minds in the field and take part in research that’s breaking new ground. Gain specialist knowledge and adaptability to work at the forefront of AI. We’ll train you to design, develop and operate AI-based products and intelligent systems to boost the progress of healthcare, science, agriculture, education, manufacturing, law, financial services and more.

Key topics include deep learning, knowledge representation and reasoning, and modern optimisation techniques. You’ll also have the expertise to implement ethics in AI and inform best practices.

This course is accredited by the Australian Computer Society (ACS). This means you’ll automatically be eligible to become a member, opening doors to invaluable networking and professional development opportunities.

Outcomes of the Master of AI

Through the course, you’ll learn how to:

  • analyse the lifecycle of an AI and machine learning system in relation to the data and computing resources in an organisation
  • apply contemporary theories and innovations in AI, machine learning and data analysis to common problems—with an emphasis on social good
  • plan an AI-based project in a new area of application, using knowledge of AI system lifecycles and their requirements for data, computing resources and user modelling
  • investigate, analyse, document and communicate the core criteria of developing AI capabilities in a global organisation
  • demonstrate different ways to implement AI to a standard consistent with senior professional practice
  • review and evaluate AI-based projects
  • record and convey ethical and legal issues, privacy and security norms, and other key considerations when using and developing AI.
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At a glance

Course Details

Location
  • On-campus at Clayton: Full time & part time
  • On-campus at Malaysia: Full time & part time
Duration
1.5 or 2 years full-time depending on prior qualifications. See entry requirements.
Start date
First semester (February) and Second semester (July)
Qualification
Master of Artificial Intelligence
Alternative exits
Course Handbook

Predicting the path of bushfires, mapping the outbreak of disease, countering false and polarising news, using robots to perform complex surgery – these are only possible because of artificial intelligence, or AI.

The potential of AI is infinite, as are the opportunities available to you as a qualified expert. Study a comprehensive Master of Artificial Intelligence at Monash, the only member of the prestigious Group of Eight to offer it.

Students wishing to exit early can complete with a Graduate Certificate of Artificial Intelligence or Graduate Diploma of Artificial Intelligence.

Entry Requirements

You need to satisfy the following entrance requirements to be considered for entry to this course.

Minimum Entry Requirements (Domestic students)

Qualifications

Entry level 1: 96 points to complete Duration: 2 years full-time, 4 years part-time

An Australian bachelor degree (or equivalent), not necessarily in IT, with at least a credit (60%) average.

Entry level 2: 72 points to complete Duration: 1.5 year full-time, 3 years part-time

An Australian bachelor degree (or equivalent) in a cognate discipline relating to IT, or an engineering or science degree with a substantial IT component including python programming, algorithms, databases, computer architecture, operating systems and networks, and mathematics (including calculus, linear algebra and probability and statistics) with at least a credit (60%) average.

English requirements

Applicants must also meet the English language requirements.

University entrance requirements

Minimum entrance requirements for admission to Monash University Australia.

The course structure can be viewed in the Handbook. You can also view the course map at (https://www.monash.edu/students/handbooks/maps)

You may exit this course early and apply to graduate with one of the following awards, provided you have satisfied the requirements indicated for that award during your enrolment in this master's course:

  • Graduate Certificate of Artificial Intelligence (C4008) after successful completion of 24 credit points of study including FIT5047 Fundamentals of artificial intelligence and FIT5197 Statistical data modelling, and two units (12 credit points) from Part A or Part B, a. or B, b. with a maximum of 6 credit points from Part A.
  • Graduate Diploma of Artificial Intelligence (C5007) after successful completion of 48 credit points of study including all units in Part B, a. and five units (30 credit points) as from Part A or Part B with no more than 12 credit points from Part A and no more that 6 credit point form part B, C.

Making the application

Future students

Semester one (February)

Apply directly to Monash using course code C6007

Apply

Semester two (July)

Apply directly to Monash using course code C6007

Apply

Current Monash students

Current Monash students should apply for an internal transfer.

Self assess for credit eligibility

Check for study credit using the "Credit search" link on the Credit for prior study page.

Fees

Fees are subject to change annually.

Commonwealth supported place (CSP)

The average annual student contribution amount for 2026 is:

A$9537

Note: see information on how fees are calculated.

Fee assistance

As a Commonwealth supported student, you may be able to either:

Full fee

Fees are per 48 credit points which represents a standard full-time course load for a year. The fees for 2026 are:

A$42,600

Fee assistance

As a full fee-paying student, you may be eligible to apply for the optional FEE-HELP to assist you to pay all or part of your tuition fees.

Scholarships

We offer over 360 types of scholarships, valued at up to $280,000. Some scholarships offer one-off payments while others continue for the length of your course. Learn more about Monash Scholarships.

Other costs and fees

For information on other study costs and fees, see other study costs.