GraduateComputer Science
Master of Artificial Intelligence
Monash University, Melbourne, VIC, Australia
About this program
Monash's Master of Artificial Intelligence prepares graduates for AI-related roles across industry, government, defence, medicine and finance, covering deep learning, knowledge representation and reasoning, and modern optimisation techniques alongside genuine attention to AI ethics and its broader impact on organisations and society. Rather than treating ethics as an afterthought, the course builds it into how AI's role in the world gets taught alongside the technical content, reflecting growing pressure on AI practitioners to understand the consequences of the systems they build. Students finish with either a research project or an industry experience studio project, letting them choose between an academic and a more applied, practice-based capstone experience depending on their career direction. It suits computing, engineering or mathematics graduates who want to specialise specifically in building AI-based products and intelligent systems, going deeper into applied AI development than a general computer science or data science master's would cover.
Fees & duration
English test scores
Verified monash.edu ↗
Course structure
The course comprises 96 points structured into three parts
- 24 pointsPart A. Foundation studies
- 48 pointsPart B. Core studies
- and Part C. Applied studies (24 points). Units are 6 points unless otherwise stated. Part A. Foundation studies (24 points) You must complete four units (24 points): FIT9132 Introduction to databases FIT9136 Introduction to Python programming FIT9137 Introduction to computer architecture and networks MAT9004 Mathematical foundations for data science and AI Part B. Core studies (48 points) You must complete the following units (42 credit points): FIT5047 Fundamentals of artificial intelligence FIT5057 Project management FIT5125 IT research methods FIT5201 Machine learning FIT5215 Deep learning FIT5222 Planning and automated reasoning FIT5226 Multi agent systems and collective behaviour Specified elective studies You must complete one of the following uni..
Career & PR pathway
Occupations this degree typically leads to, and their skilled-migration list status
Data ScientistANZSCO 224115
A newer ANZSCO code (added 2022) that sits on CSOL only, supporting the employer-sponsored 482 and 186. Not on MLTSSL or STSOL, so it does not currently open the points-tested 189, 190, or 491, and no state nominates this exact code.
Assessed by Australian Computer Society (ACS)
List membership changes over time and does not guarantee an invitation. See the skilled occupation lists guide and the points calculator before relying on this for a visa decision.
Admissions
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.
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