GraduateComputer Science
Master of Artificial Intelligence and Machine Learning
Melbourne Institute of Technology, Melbourne, VIC, Australia
About this program
MIT's Master of Artificial Intelligence and Machine Learning builds from foundational machine learning through neural networks, deep learning, secured AI systems and natural language processing/LLMs to intelligent robotics and vision systems, closing with a dedicated AI Capstone Project. It is one of MIT's newer degrees, developed as demand for applied AI skills has grown, sitting alongside the Master of Data Analytics and Master of Business Analytics as a third, AI-specific postgraduate IT award rather than a duplicate of either.
As with MIT's other postgraduate IT degrees, it runs a cognate/non-cognate entry structure and closes with an industry-based capstone project. Offered from the Sydney and Melbourne campuses across three intakes a year (March, July, November).
Fees & duration
English test scores
Verified mit.edu.au ↗
Course structure
Study plan in 3 parts
- MDA513ICT Practices
- MN404Fundamentals of Operating Systems and Programming
- MAI511Foundational Machine Learning
- MDA522Artificial Intelligence
- MAI521Neural Networks and Deep Learning
- MAI522Secured AI Systems
- MDA611Predictive Analytics
- MDA691Project Management and Research Methods
- MAI611Natural Language Processing and Large Language Models
- MAI621Intelligent Robotics and Vision Systems
- MAI692AI Capstone Project
- Electives (one, from 500/600-level units): Data Science
- Data and Information Management
- Mathematical and Statistical Methods
- Cyber Security and Analytics
- Networked Application Management
- IoT and Sensor Networks
- Blockchain Technologies and Strategy
- Project Management for Entrepreneurs
Total
- 4 trimesters2 years full-time
- 240credit points
- Sydney or Melbourne campus
- 3 intakes per year
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
Successful completion of an Australian bachelor degree or equivalent. Cognate stream: a bachelor's degree in Information Technology or a related discipline (computer science, software engineering, computer engineering or networking). Non-cognate stream: a bachelor's degree in any other discipline.
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