Artificial Intelligence - C6007
Master degree
Transform the way we improve lives
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.
Cover a comprehensive range of key topics, including deep learning, knowledge representation and reasoning, and modern optimisation techniques. Equally important, you’ll also have the expertise to implement ethics in AI and inform best practices.
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.
Graduates may be eligible for Australian Computer Society (ACS) professional membership.
At a glance
Course Details
Location |
|
---|---|
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.
To be considered for entry to this course, your entire academic history will be assessed against the following entrance requirements. Your entry level will be determined at the time of assessment, depending on your previous studies.
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
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 2024 is:
A$8948
Note: see information on how average fee is calculated.
There are a limited number of Commonwealth Supported Places (CSPs) available in FIT Postgraduate degrees. For CSP application deadlines and eligibility criteria, please visit the Faculty webpage.
Fee assistance
As a Commonwealth supported student, you may be able to either:
- pay all of your student contribution upfront, or
- defer payment through the HECS HELP loan scheme.
Full fee
Fees are per 48 credit points which represents a standard full-time course load for a year. The fees for 2024 are:
A$38,900
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.