MCSAI Master of Computer Science (Artificial Intelligence)

Overview

The Master of Computer Science (Artificial Intelligence) provides education in artificial intelligence systems development and exploitation that solves real-world problems using contemporary technologies while leveraging aspects of human intelligence. It enable computing graduates to extend their skills in an important emerging area, preparing students for either higher degree study or … For more content click the Read More button below.

The Master of Computer Science (Artificial Intelligence) provides education in artificial intelligence systems development and exploitation that solves real-world problems using contemporary technologies while leveraging aspects of human intelligence. It enable computing graduates to extend their skills in an important emerging area, preparing students for either higher degree study or advanced employment in the Australian and international information technology industry and public service sectors.

Course offerings

Flinders City Campus

Courses / qualifications may not be offered in all locations and modes each year. For more information on Mode of Delivery, visit Mode definitions

Student guidance

Study planner

Program of study overview

Program of study notes

Program of study
72 Units

Year 136 Units

Core36 Units

First half18 Units

Second half18 Units

Year 236 Units

Stream36 Units

Select one of the following Streams:

Stream - Coursework36 Units

Core31.5 Units

First Half18 Units

Second Half13.5 Units

Option4.5 Units

Stream - Coursework with Research Component36 Units

Core36 Units

First Half18 Units

Second Half18 Units

Admission requirements

Admission requirements

Applicants must normally hold a degree or equivalent qualification from an approved tertiary institution in computer science, information technology, ICT-based engineering or a closely related discipline; or the Graduate Diploma in Computer Science. Applicants with a degree or equivalent qualification from an approved tertiary institution in behavioural science or psychology, which includes a major in artificial intelligence or computer science, are also eligible to apply.

However, the Dean (Education) may, under certain circumstances and subject to specific conditions, admit others who can show evidence of fitness for candidature.

Assumed knowledge

English Language requirements

Aims

The course has been designed with industry input to prepare students to become computing professionals able to:

Adapt and utilise the range of technologies that underpin machine learning and artificial intelligence, with the ability to apply them to a range of contemporary challenges whilst being mindful of the ethical implications of intelligent systems
Analyse complex computational and data related problems from both a theoretical and practical perspective
Draw on a range of different algorithms to develop solutions to complex computational problems using the most appropriate programming paradigm
Manage the development of solutions, and communicate effectively with experts across the computing discipline including computer hardware, systems software and end-user application development
Work effectively both as an individual, as part of a team and as a technical manager of a team
Exhibit a strong, practical understanding of professional and ethical responsibilities

Student progression rules

Students must have achieved a GPA of at least 5 in 36 units of Year 1 topics to be able to undertake the Coursework with Research Component Stream in Year 2.

Professional accreditation and recognition

Professional accreditation

Associations

Course/Course specialisation association