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.

Fast track your Master’s. There is no need for foundation units. You can jump right into the core units of the course, exploring 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, ready to open in 2020, will offer 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

Location
  • On-campus at Clayton: Full time
Duration
  • 1.5 years (full time)
Start date
First semester (February) and Second semester (July)
Qualification
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)

Qualifications

Entry level 1: Duration: 1.5 years full-time, 3 years part-time (72 points to complete)

An Australian undergraduate degree in a cognate discipline relating to IT, or an engineering or science degree with an IT major including programming and mathematics, with at least a 65% average, or qualification deemed by the faculty to be a satisfactory equivalent.

Entry level 2: Duration: 1 year full-time, 2 years part-time (48 points to complete)

A four-year Australian honours degree in a recognised cognate discipline relating to IT, or an engineering or science degree with an IT major including programming and mathematics with a research thesis consisting of at least 37.5% of a one year full time load and with at least a 65% average, or qualification deemed by the faculty to be a satisfactory equivalent.

English entry requirements

Applicants must also meet the English language requirements.

University entrance requirements

Minimum entrance requirements for admission to Monash University Australia.

The course is structured into two consecutive parts:

  • Part A: Core master’s studies, and
  • Part B: Advanced practice.

You can 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 after successful completion of 24 credit points of study or
  • Graduate Diploma of Artificial Intelligence after successful completion of 48 credit points of study.

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.

International fee

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

A$42,800

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: 0100566