Artificial Intelligence - C6007

Artificial Intelligence

Master degree

Artificial Intelligence (AI) has the ability to transform every aspect of our lives – from cars driving themselves to robots performing complex surgery. It can help to predict the path of bushfires, detect early-stage skin cancers, and counteract false and polarising information on social media. AI can help catch wildlife poachers, schedule predictive maintenance of public transport and infrastructure, and monitor the outbreak of disease to stop its spread. It informs business decisions, optimises operations, and drives outcomes of leading companies. The potential of AI is infinite.

As Australia’s #1 university for engineering and technology,* Monash is the only one of the prestigious Group of Eight to offer a Master of Artificial Intelligence. Delivered by the best minds in the field, this course gives you the specialist knowledge and adaptability to move to the forefront of AI transformation. It empowers you to design, develop, and operate AI-based products and intelligent systems for the advancement of everything from healthcare, agriculture and education to manufacturing, law and financial services.

The MAI caters to students from a variety of backgrounds by including foundation units in programming, computer architecture and maths or statistics. However, if you have this background from previous studies or work experience, you may accelerate your study with an exemption from these units, or choose to take more artificial intelligence electives.

The core units of the course, explore topics such as deep learning, machine learning, natural language processing, human-computer interactions and modern optimisation techniques. At the same time, you will deepen your understanding of best practices and ethical issues of AI, as well as its far-reaching impact on organisations, societies and the world.

Through advanced practice units, you will have an opportunity to apply your knowledge and skills to real-world challenges. You can either complete a research project under the guidance of an internationally recognised expert (as a potential pathway to a PhD) or engage in an industry experience studio project. This hands-on training lets you put into action all that you’ve learned and ensures your job-readiness upon graduation.

The Faculty of Information Technology is located in Clayton, at the heart of the Monash Precinct, where world-class research centres and facilities create a vibrant backdrop for meaningful graduate study. Among these are the Laboratory for Dialogue Research, the Human-Computer Interaction Lab and the Centre for Data Science. And our Woodside Building for Technology and Design offers the latest dynamic and interactive learning spaces.

With everyone now competing to implement AI in their products and services, the demand for AI expertise (deep learning and machine learning skills in particular) outstrips supply – and this booming job market naturally generates high pay. A Master of Artificial Intelligence will carry you almost anywhere in the world to do just about anything you can imagine. Maybe you’ll create emotionally engaging customer experiences. Or track the activity of office workers to boost their fitness and productivity. Or even design interfaces to help humans control robots. Who knows what the future holds?

*The Times Higher Education World University Rankings 2016-2019 by subject: engineering and technology

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At a glance

Course Details

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

Entry Requirements

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

Minimum Entry Requirements (International students)


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 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 Java and Python programming, algorithms, computer architecture, operating systems networks and mathematics (including calculus, linear algebra and probability and statistics), with at least a 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 Pearson Test of English (Academic): 58 Overall score, with minimum scores: Listening 50, Reading 50, Speaking 50 and Writing 50TOEFL Internet-based test: 79 Overall score, with minimum scores: Reading 13, Listening 12, Speaking 18 and Writing 21 Equivalent approved English test

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 (

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


Semester two (July)

Apply directly to Monash using course code C6007


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 are subject to change annually.

International fee

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



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