Course Level
Master Degree (By Coursework)
CRICOS
115898H
Master of Artificial Intelligence and Machine Learning
Embark on a transformative journey with the Master of Artificial Intelligence and Machine Learning at Adelaide University. This innovative degree puts you at the forefront of the AI revolution. You'll be equipped with the skills to innovate and lead in this rapidly evolving field. You will gain hands-on experience with state-of-the-art tools and technologies and tackle real-world challenges through industry-partnered projects. Build your technical skills and critical thinking needed to navigate the ethical complexities of AI. Graduate ready to influence the future of technology in diverse sectors, from healthcare to finance. Drive innovations that will redefine human-machine interaction and solve some of society's most complex challenges.
Campus | Duration | Fees | ATAR |
|---|---|---|---|
Adelaide City Campus | Full-time - 2 years | N/A | N/A |
Structure
96 units
Subjects
- Generative Artificial Intelligence ARTI5001
- Applied Artificial Intelligence and Machine Learning ARTI5002
- Ethics, Privacy and Security in Artificial Intelligence and Machine Learning ARTI5006
- Advanced Topics in Artificial Intelligence and Machine Learning ARTI6000
- Machine Learning Algorithms ARTI6003
- Programming for Artificial Intelligence and Machine Learning COMP5004
- Programming for Artificial Intelligence and Machine Learning 2 COMP5064
- Deep Learning Applications COMP6004
- Applied Artificial Intelligence and Machine Learning 2 COMP6026
- Project Management for IT Professionals PROJ5001
- Statistical Foundations for Data Science and Artificial Intelligence STAT5020
Entry requirements
- To be eligible, an applicant must have achieved at least one of the following minimum entry requirements and demonstrate they fulfil any prerequisite and essential criteria for admission. In cases where there are more eligible applicants than available places, admission will be competitive with ranks based on the entry criteria.
- A completed bachelor (AQF level 7) or bachelor honours (AQF level 8) degree or equivalent in computer science, computer systems engineering, or software engineering from a recognised higher education institution.
- A completed nested or related graduate certificate (AQF level 8) or higher in computer science from a recognised higher education institution.
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