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.
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.
Background
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.
Careers
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 style
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.
Qualifications
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)
Programme requirements
Master of Applied Science (MAppSc) in Artificial Intelligence
Papers |
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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
Contact us
Professor Brendan McCane
Department of Computer Science
Tel +64 3 479 8588
Email brendan.mccane@otago.ac.nz