Monash University
Master of Artificial Intelligence
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 24 months
- Course Type: Master's
Gain specialised skills to design and operate AI systems that improve various industries, including healthcare, science, agriculture and finance.
Course overview
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.
CSP Subsidised Fees Available
This program has a limited quota of Commonwealth Supported Places (CSP). The indicative CSP price is calculated based on first year fees for EFT. The actual fee may vary if there are choices in electives or majors.
Key facts
What you will study
The course comprises 96 credit points structured into three parts:
You must complete the following units
- Introduction to Databases
- Introduction to Python Programming
- Introduction to Computer Architecture and Networks
- Mathematical Foundations for Data Science and AI
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: Two years full-time, four years part-time.
- An Australian bachelor's degree (or equivalent), not necessarily in IT, with at least a credit (60%) average.
Entry level 2: 72 points to complete Duration: 1.5 years full-time, three years part-time.
- An Australian bachelor's 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.
Outcomes
Learning outcomes
- Analyse the lifecycle of an AI and machine learning system in relation to an organisation's data and computing resources.
- 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 application area, using knowledge of AI system lifecycles and their requirements for data, computing resources and user modelling.
- Investigate, analyse, document and communicate the core criteria for 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.
Fees and CSP
Estimated first-year fee in 2025: $9,314 (Commonwealth Supported Place)
Student fees may vary in accordance with:
- The number of units studied per term.
- The choice of major or specialisation.
- Choice of units.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
Student fees shown are subject to change. Contact the university directly to confirm.
Commonwealth Supported Places
The Australian Government allocates a certain number of CSPs to the universities each year, which are then distributed to students based on merit.
If you're a Commonwealth Supported Student (CSS), you'll only need to pay a portion of your tuition fees. This is known as the student contribution amount – the balance once the government subsidy is applied. This means your costs are much lower.
Limited CSP spaces are offered to students enrolled in selected postgraduate courses.
Your student contribution amount is:
- Calculated per unit you're enrolled in.
- Dependent on the study areas they relate to.
- Reviewed and adjusted each year.
HECS-HELP loans are available to CSP students to pay the student contribution amount.
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.