Western Sydney University
Master of Artificial Intelligence
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 24 months
- Course Type: Master's
The program provides you with a broad range of AI topics ranging from foundations to state-of-the-art technologies and applications.
Course overview
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.
This program is accredited by the Australian Computer Society at the professional level.
Key facts
What you will study
Students must complete twelve core subjects (total of 120 credit points). Each subject is valued at 10 credit points unless otherwise indicated.
- Advanced Topics in Artificial Intelligence
- Applied Cybersecurity
- Applied Machine Learning
- Artificial Intelligence Ethics and Organisations
- Computer Vision
- Information Security Management
- Knowledge Representation and Reasoning
- Natural Language Processing
- Network Technologies
- Postgraduate Capstone Project
- Postgraduate Research Project
- Visualisation
Additional Requirement
- ICT Practicum (zero credit point)
Entry Requirements
The minimum admission requirements to this course are:
- 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, and communications technology, may also be eligible.
- Undergraduate degree in any discipline AND at least one year of full-time equivalent work experience in Information Technology, Information Systems or Computer Science or other relevant work experience.
- Graduate Certificate in Information Technology Information Systems or Computer Science or equivalent.
- 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.
English Language Requirements
Applicants who have undertaken studies overseas may have to provide proof of proficiency in English. Local applicants who are applying through the Universities Admissions Centre (UAC) will find details of minimum English proficiency requirements and acceptable proof on the UAC website. Local applicants applying directly to the University should also use the information provided on the UAC website.
Outcomes
Career Outcomes
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
Fees and FEE-HELP
Indicative annual fee in 2025: $37,328 (domestic full-fee paying place)
The fee estimates provided are indicative only and subject to change. These estimates are based on the current fee structures for a normal full-time study load.
A student’s annual fee may vary in accordance with:
- The number of subjects studied per term.
- The choice of major or specialisation.
- Choice of subjects.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
FEE-HELP loans are available to assist eligible full-fee-paying domestic students with the cost of a university course.