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Overview

Artificial Intelligence (AI), once simply a branch of computing research, has over the last decade moved into the mainstream of computational problem solving techniques. Many systems, from search engines to financial systems and health systems employ AI techniques such as machine learning. While true 'intelligence' via computers is still remote, AI techniques are increasingly being used to enhance the performance of a vast range of existing systems, and to enable new applications, especially those involving large amounts of data.

In many applications (e.g. driverless vehicles), AI allows existing systems to work with less and less manual intervention. 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).

This stream introduces students to the foundations of artificial intelligence and the core technologies (machine learning, knowledge representation) that are required to apply AI in the real world.
Study Level

Undergraduate

Minimum Units of Credit

96

Specialisation Type

Major

Specialisation Structure

Students must complete 96 UOC.

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Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)

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