Artificial Intelligence - C6007
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.
At a glance
Course Details
Location |
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|---|---|
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 |
Entry Requirements
You need to satisfy the following entrance requirements to be considered for entry to this course.
Minimum Entry Requirements (International 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 entry requirements
Level A
| IELTS (Academic): 6.5 Overall score, with minimum band scores: Listening 6.0, Reading 6.0, Writing 6.0 and Speaking 6.0 | or | Pearson Test of English (Academic): 58 Overall score, with minimum scores: Listening 50, Reading 50, Speaking 50 and Writing 50 | or | TOEFL iBT: 0 - 120 scale: 1 - 6 scale: | or |
Courses that require English Level A only: Other approved English tests (minimum entry scores apply) Courses with English Level B, C, D, E and F: Other approved English tests (higher entry scores apply than specified) |
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
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.
International fee
Fees are per 48 credit points which represents a standard full-time course load for a year. The fees for 2026 are:
A$57,300
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.
Enrolment Obligations
International students enrolling in a CRICOS-registered course can study no more than one third (33%) of their course by distance and/or online learning. Students must enrol in at least one unit that is not by distance and/or online in each compulsory study period unless the student is completing the last unit of their course. See standard 8.19 and 8.20 of National Code of Practice for Providers of Education and Training to Overseas Students 2018.
CRICOS code: 103000K
International course guides
If you are an international student and wish to find out more about our courses, entry requirements, studying at Monash and more, please download our international course guides below.
International Study Grants
