Master of Artificial Intelligence
Information and Communication Technologies (ICTs)
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 conte
Official- Duration
- 2 years
- Qualification
- Masters Degree
- AQF 9
- Campus
- Clayton
- VIC · +1 more campus
- Course code
- CRICOS 103000K
Campus images supplied directly by the institution.
Course overview
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 conte
Entry requirements
Requirements are recorded per intake year and per audience. Meeting them does not guarantee an offer.
Entry level 1: 96 points to complete Duration: 2 years full-time, 4 years part-timeAn 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-timeAn 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. Planning reference: missing 2027 requirements use the latest published requirements from 2026; newer explicit 2027 requirements take precedence.
English language
Band minimums apply in addition to the overall score.
- IELTS AcademicOverall 6.5L 6 · R 6 · W 6 · S 6
- PTE AcademicOverall 58L 50 · R 50 · W 50 · S 50
- TOEFL iBTOverall 79L 12 · R 13 · W 21 · S 18
Additional requirements
Academic entry requirement
Entry level 1: 96 points to complete Duration: 2 years full-time, 4 years part-timeAn 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-timeAn 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.
Additional entry requirement
Recognised bachelor-equivalent qualification; course-specific score, discipline and additional requirements; English proficiency.
Intakes and tuition
Tuition is recorded per intake with the institution's own basis. Superseded rows are kept so fee changes stay visible.
| Intake | Campus | Starts | Applications close | Tuition | For |
|---|---|---|---|---|---|
| 2027 · Semester 2 | Clayton | — | — | $59,019per year | International students |
| 2027 · Semester 1 | Other | — | — | $59,019per year | International students |
| 2027 · Semester 1 | Clayton | — | — | $59,019per year | International students |
| 2027 · Semester 2 | Other | — | — | $59,019per year | International students |
Where it is taught
Other
VIC
References
Official course page, institution website and the sources behind this profile.
- Master of Artificial Intelligencemonash.edu
- Monash Universitymonash.edu
- CRICOS provider recordOfficial source
- 2027 International Undergraduate Course GuideOfficial source
- Monash Bachelor of Nutrition Science Honours FAQOfficial source
- Monash English language requirementsOfficial source
- Monash minimum entry requirementsOfficial source
- Academic entry requirements - Graduate ResearchOfficial source
- Monash inbound Study Abroad and Exchange requirementsOfficial source
- Monash Bachelor of Design Honours progression requirementOfficial source
- Monash Bachelor of Health Science (Honours) M3706Official source
- Monash Bachelor of Paramedicine (Honours) M3707Official source
- Monash 2027 international course pagesOfficial source
- Monash academic entry requirementsOfficial source
- Monash College Diploma academic entry requirementsOfficial source
- QS World University Rankings 2027Official source
- Monash Emergency Health (Paramedic) Honours handbookOfficial source