Artificial Intelligence (AI) is currently having a large impact on many human endeavours mostly through deep learning approaches in science, business, the law, medicine, and government.
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Why study Artificial Intelligence (AI)
There is currently a very large demand in industry for people with advanced AI skills.
AI is currently having a large impact on many human endeavours mostly through deep learning approaches in science, business, the law, medicine, and government.
Some prior exposure to programming would be beneficial.
Artificial Intelligence is a major subject of the Master of Applied Science (MAppSc), a postgraduate qualification. It is open to graduates from any discipline.
Possibilities include: AI engineer, research scientist, data scientist, policy expert, analyst. There is a nationally recognised need for more graduates with expertise in AI.
Teaching is via a combination of lectures, seminars, readings, tutorials and independent research. Learning will involve understanding of theoretical ideas but with a particular emphasis on the application of those ideas to real world problems.
The programme is taught by internationally recognised scholars with a focus on: programming for AI; machine learning and deep learning; computer vision and human language applications; and ethics of AI. Optional topics include agent based software; business intelligence; and information retrieval.
Explore your study options further. Refer to enrolment information found on the following qualification pages.
- Postgraduate Certificate in Applied Science (PGCertAppSc)
- Postgraduate Diploma in Applied Science (PGDipAppSc)
- Master of Applied Science (MAppSci)
Master of Applied Science (MAppSc) in Artificial Intelligence
Students without a background in computing will begin their programme of study in the second semester and will complete:
Students with a background in computing will begin their programme of study in either the first or second semester and will complete:
Note: This programme requires three semesters of study
Key information for future students
Professor Brendan McCane
Department of Computer Science
Tel +64 3 479 8588