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.
Apply for the Master of Applied Science (MAppSc) through the Dunedin campus in 2023Apply Now
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