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Study Artificial Intelligence

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.

Programme requirements

Master of Applied Science (MAppSc) in Artificial Intelligence

Papers

Students without a background in computing will begin their programme of study in the second semester and will complete:

  • AIML 401 Programming for Artificial Intelligence
  • AIML 402 Advanced Artificial Intelligence
  • COSC 420 Neural Networks
  • DHUM 403 When Machines Decide
  • INFO 411 Machine Learning and Data Mining
  • Two of:
  • One of:
  • 20 further points at 400-level

Students with a background in computing will begin their programme of study in either the first or second semester and will complete:

  • AIML 402 Advanced Artificial Intelligence
  • COSC 420 Neural Networks
  • DHUM 403 When Machines Decide
  • INFO 411 Machine Learning and Data Mining
  • Two of:
  • One of:
  • 20 further points at 400-level

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