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Recent technological advances are bringing robots out of their usual industrial settings and into homes and offices. Mobile robots capable of vacuum cleaning and lawn mowing are already commercially available. As miniaturisation and sophistication increase and costs continue to decrease, it is anticipated that robots will become commonplace. Applications include domestic robots to assist in everyday chores, robots for entertainment or educational purposes as well as robots for automating office and factory tasks. Applications also include assistance for the elderly, in particular, to improve their mobility and level of care.

As autonomous devices become more common, potential employers include companies that can make ready use of automation. This includes companies concerned with home and office automation, entertainment companies and autonomous systems research and development. Autonomous systems and the sophisticated sensors they employ are also adopted in many industries to enhance production and to improve safety (e.g. mining, manufacturing, transport).

The Artificial Intelligence stream in the Graduate Diploma and Master of Information Technology programs focuses on the development of sophisticated software for mobile robot control. Several aspects of software are considered:

  • artificial intelligence;
  • agent programming;
  • experimental robotics;
  • knowledge representation and reasoning;
  • machine learning;
  • robot architectures;
  • human-computer interaction;
  • vision.
Study Level


Minimum Units of Credit


Specialisation Type


Specialisation Structure

Students must complete 96 UOC.

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Disciplinary Electives

Disciplinary Electives description.

Students must take 36 UOC of the following courses.
Note: With approval of program authority, students may choose up to two Level 4 or higher elective courses outside of the School of Computer Science and Engineering. These courses are listed under "Non-Computing Electives".

Advanced Discipinary Knowledge (ADK) Requirement

Advanced Discipinary Knowledge (ADK) Requirement description.

At least 36 UOC of Disciplinary Elective, Prescribed Elective and/or Non-Computing Elective courses chosen must be taken from the following Advanced Disciplinary Knowledge Course List.

Non-Computing Electives

Non-Computing Electives description.

The following courses are outside the School of Computer Science and Engineering (CSE) and may be taken with approval from the program authority and within the maximum 12 UOC Level 4 or higher elective courses outside of the CSE rule.

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)

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