Course Overview

About This Course

You will learn how AI is driving digital disruption, how to work in this dynamic and fast evolving field, and how it is changing every facet of life and society. This program focuses on the most important and up to date AI topics and trends including but not limited to: knowledge representation and reasoning, machine learning, natural language understanding and processing, knowledge graphs, AI ethics and governance as well as relevant major areas in Computing and Data Sciences. You will have an opportunity to apply skills and knowledge gained from this degree in a workplace setting, through an internship or an engaging work-integrated learning experience. The Master of Artificial Intelligence will provide you with a broad range of Artificial Intelligence (AI) topics ranging from foundations to state-of-the-art technologies and applications. You will learn how AI is changing every facet of life and society and how this change will significantly reshape our social and economic structures in the coming decades. Be future focused and ready to use your skills and knowledge in a diverse range of roles. Offered as a Masters Degree qualification of 160 credit points, it is normally completed in 2 years full-time and 4 years part-time.

Where You Can Study

Available Locations

Sydney

Level 4, 255 Elizabeth St, Sydney, NSW 2000

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Student Information

Fees & Entry by Student Type

Tuition Fee

$38,224*

Duration

Full Time: 2 Years (Available Part Time)*

Intakes

Autumn 2027 (starts 01 March 2027) | Spring 2027 (starts 19 July 2027)

Study Mode

Full Time / Part Time

Eligibility

Entry Requirements

General Requirements

Tertiary Education: Undergraduate degree in Information Technology, Information Systems or Computer Science or equivalent. Degrees in other disciplines containing at least 8 units in Information Technology or other relevant disciplines such as data science, engineering, communications technology, may also be eligible. Undergraduate degree in any discipline and at least one year full time equivalent work experience in Information Technology, Information Systems or Computer Science or other relevant work experience OR Graduate Certificate in Information Technology Information Systems or Computer Science or equivalent OR Graduate Diploma in any discipline AND at least two years full time equivalent in Information Technology, Information Systems or Computer Science or other relevant work experience

Career & Study Pathways

Where this takes you

Career Opportunities

As a graduate of this degree, you can look forward to a broad range of exciting career opportunities in different sectors and industries. Below are some examples of the possible careers you can pursue with this degree:

Solutions Architect
Data Engineer
Data Scientist
Machine Learning Specialist
Big Data Machine Learning Specialist

Quality & Recognition

Accreditation & Migration

Academic Regulator

TEQSA

Accreditation Status

Accredited

Course Content

Units of Competency

All Units39 units

COMP7016

Visualisation

Core — 10 credit points

COMP7022

Natural Language Processing

Core — 10 credit points

COMP7020

Artificial Intelligence Ethics and Organisations

Core — 10 credit points

INFO6003

Postgraduate Research Project

Core — 10 credit points

INFO7004

ICT Practicum

Core — 0 credit points

COMP7019

Applied Machine Learning

Core — 10 credit points

COMP7021

Knowledge Representation and Reasoning

Core — 10 credit points

INFO6002

Postgraduate Capstone Project

Core — 10 credit points

COMP7013

Network Technologies

Core — 10 credit points

INFO7002

Advanced Topics in Artificial Intelligence

Core — 10 credit points

INFO7015

Applied Cybersecurity

Core — 10 credit points

COMP6003

Computer Vision

Core — 10 credit points

COMP7007

Information Security Management

Core — 10 credit points

T004

Data Analytics, Testamur Major

Alternate — 40 credit points

T003

Cybersecurity, Testamur Major

Alternate — 40 credit points

T010

Web and Mobile Computing, Testamur Major

Alternate — 40 credit points

COMP7024

Programming for Data Science

Alternate — 10 credit points

INFS7008

Systems and Network Security

Alternate — 10 credit points

COMM7011

Researching Convergent Media

Alternate — 10 credit points

MATH7016

The Nature of Data

Alternate — 10 credit points

HUMN7012

Cyber Justice (PG)

Alternate — 10 credit points

COMM7013

Ideate, Develop: Makerspace 1

Alternate — 10 credit points

COMP7008

Internet of Things

Alternate — 10 credit points

COMP7009

Mobile Computing

Alternate — 10 credit points

INFO7014

Advanced Topics in Cybersecurity

Alternate — 10 credit points

INFS7009

Web Technologies

Alternate — 10 credit points

COMP7006

Data Science

Alternate — 10 credit points

CULT7004

Global Digital Futures

Alternate — 10 credit points

COMM7003

Foundations of Media Arts Production (PG)

Alternate — 10 credit points

COMM7009

Mobile Media

Alternate — 10 credit points

COMP7025

Social Media Intelligence

Alternate — 10 credit points

INFO7003

Advanced Topics in User System Interaction

Alternate — 10 credit points

INFO7013

Web Engineering

Alternate — 10 credit points

INFO7018

Cloud Systems Development

Alternate — 10 credit points

COMP7028

Hands-on Quantum Computing

Alternate — 10 credit points

COMP7004

Cloud Computing

Alternate — 10 credit points

COMP7017

Wireless Networking

Alternate — 10 credit points

COMP7011

Multimedia Communication Systems

Alternate — 10 credit points

INFS7006

Software Testing and Automation

Alternate — 10 credit points

Common Questions

Frequently Asked Questions

Is the Master of Artificial Intelligence accredited by any professional body?

Yes, this program is accredited by the Australian Computer Society at the professional level.

What topics are covered in the Master of Artificial Intelligence program?

The program focuses on the most important and up to date AI topics and trends including but not limited to: knowledge representation and reasoning, machine learning, natural language understanding and processing, knowledge graphs, AI ethics and governance as well as relevant major areas in Computing and Data Sciences.

Will I get any real-world work experience as part of this degree?

Yes, you will have an opportunity to apply skills and knowledge gained from this degree in a workplace setting, through an internship or an engaging work-integrated learning experience.

What are the indicative annual fees for domestic students?

The indicative annual fee for domestic students starts from $11,885. Please note that fee estimates are indicative only and subject to change, and do not include the Student Services and Amenities Fee.

Are scholarships available for students enrolling in this program?

Yes, Western Sydney University offers scholarships for both domestic and international students. Domestic students can find scholarships recognising community engagement, outstanding academic ability, and superior leadership skills, as well as donor-funded scholarships. International students are automatically assessed for a scholarship upon application, with multi-year scholarships (for up to 3 years) valued at $6,000 or $3,000 and even 50% off tuition fees, awarded on academic merit.

Application

How to Apply

Three simple steps to get enrolled

Step 01

Enquire

Click "Enquire Now" and tell us a little about yourself. It's free and takes 2 minutes.

Step 02

Submit Documents

Our team will guide you on exactly which documents to prepare and submit.

Step 03

Get Enrolled

Receive your offer letter and confirm your enrolment. Welcome to the course!

Course Snapshot

Salary, careers & skills

Typical Salary

Entry-level (0-2 years)AUD $80,000 to $105,000 per year

Early Career (2-5 years)AUD $105,000 to $140,000 per year

Mid-Level (5-10 years)AUD $140,000 to $180,000 per year

Career Paths

Machine Learning EngineerData ScientistAI EngineerDeep Learning EngineerNatural Language Processing (NLP) Engineer

Key Skills

Machine learning model design, training, and evaluationDeep learning and neural network architecture (CNNs, RNNs, Transformers)Natural language processing (NLP) and large language model (LLM) integrationData wrangling, cleaning, and feature engineering using Python, R, and SQLStatistical modelling and probabilistic reasoning

Full Course Overview

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Master of Artificial Intelligence

About This Course

Available Locations

Fees & Entry by Student Type

Entry Requirements

Where this takes you

Accreditation & Migration

Units of Competency

Frequently Asked Questions

How to Apply

Hear From the Students