Study a Master of Computer Science (Artificial Intelligence)

Overview

Study at the leading edge of neural networking, machine learning, data mining, natural language, information retrieval and computer vision, and help shape the future of areas as diverse as health, business, security and driverless transport.

Artificial Intelligence (AI) is impacting the future of industry across the globe, and Master of Computer Science (Artificial Intelligence) offers you the chance to develop advanced skills and knowledge in a field with strong growth potential.

Courses

Master of Computer Science (Artificial Intelligence)

Duration: 2 years

Delivery mode:
In person

Location:
Tonsley

Availability:
Full-time
Part-time

Start dates:
March
July

SATAC code: 2CM602

Annual indicative fees (2023):
$30,321 (Full fee paying)

Further information on fees listed

Study a Master of Computer Science (Artificial Intelligence) and work at the leading edge of neural networking, machine learning, data mining, natural language, information retrieval and computer vision, and help shape the future of areas as diverse as health, e-commerce, marketing and driverless transport.

Your career

A forward-thinking, industry-driven degree, Master of Computer Science (Artificial Intelligence) will see you graduate fully prepared for careers in areas such as public and private agencies, start-up companies and consultancies. Career opportunities extend beyond the computing industry into intelligent transport and logistics, buildings and infrastructure, health, aerospace and defence.

Potential occupations include:

analyst programmer
computer scientist
software developer
technology integrator
intelligent game/simulation developer.

Professional accreditation/recognition:

All our Bachelor of Information Technology and Bachelor of Computer Science degrees are accredited by the Australian Computer Society at the professional level. Professional ICT courses accredited by the Australian Computer Society are recognised internationally under the Seoul Accord. Graduates meet the academic requirements for attaining chartered status as ICT professionals.

What you will study

Flinders Master of Computer Science (Artificial Intelligence) is designed to give you the practical skills to take advantage of the rise in Artificial Intelligence in multiple industries, and the ongoing integration of AI into the everyday objects around us (the Internet of Things (IoT)).

You’ll study AI, functional and logic programming languages including various experimental languages (e.g. the functional logic programming language Curry), and have the opportunity to work on research projects relating to new paradigms for programming languages, neural networks, machine learning, language learning and more.

View study program

Master of Computer Science (Artificial Intelligence)

Practical experience

Flinders Master of Computer Science (Artificial Intelligence) is taught by experts who understand the potential of AI in the workplace and its future in the world of Industry 4.0.

You’ll have the opportunity to work in close consultation with industry, solving real-world problems. Flinders students have been involved with projects such as YourAmigo, developed by Flinders’ Professor David Powers, Clipsal Homespeak and virtual agent Clevertar.

Gain practical experience working on projects such as:

Machine learning
Automation
Driverless transport.

Entry requirements

Applicants must normally hold a bachelor degree or equivalent qualification in computer science, information technology, ICT-based engineering or a closely related discipline or hold the Graduate Diploma in Computer Science.

Applicants who hold a Bachelor degree or equivalent qualification in behavioural science or psychology, which includes a major in artificial intelligence or computer science, are also eligible to apply.

Knowledge of second year information technology is assumed.

How to apply

Select your preferred course.

Check entry requirements.

Check individual course entries on SATAC for information on important dates.

Apply online at SATAC.

Entry requirements

Applicants must normally hold a bachelor degree or equivalent qualification in computer science, information technology, ICT-based engineering or a closely related discipline or hold the Graduate Diploma in Computer Science.

Applicants who hold a Bachelor degree or equivalent qualification in behavioural science or psychology, which includes a major in artificial intelligence or computer science, are also eligible to apply.

Knowledge of second year information technology is assumed.

English language requirements