Western Sydney University

Master of Artificial Intelligence

  • Delivery: Face to Face
  • Study Level: Postgraduate
  • Duration: 24 months
  • Course Type: Master's

Build advanced expertise for an AI-driven future and develop advanced capability across machine learning, natural language processing, computer vision and responsible AI, supported by project-based learning and a compulsory ICT practicum.

Course overview

The Master of Artificial Intelligence builds the technical and professional knowledge needed to develop, evaluate and manage artificial intelligence systems. You will study applied machine learning, knowledge representation and reasoning, natural language processing, computer vision, visualisation, networks, cybersecurity and the ethical and organisational dimensions of AI.

The 160-credit-point course combines 120 credit points of compulsory study with a 40-credit-point pathway. You can complete a named major in Data Analytics, Cybersecurity or Web and Mobile Computing, or select subjects from across the available options for the generic Master of Artificial Intelligence award.

Research and capstone projects enable you to investigate contemporary problems and develop practical solutions. You will also complete the zero-credit-point ICT Practicum, which provides a structured opportunity to apply your knowledge in a workplace setting.

Study on campus at Parramatta South over two years full-time or four years part-time. Career opportunities may include data scientist, data engineer, machine learning specialist, solutions architect and related artificial intelligence or data-focused roles.

Key facts

Delivery
Face to Face
Course Type
Master's
Duration
More Information
Can be studied part time
24 months (Full time)
Price Per Unit
From $4,778
More Information
The estimated per-unit fee is calculated using the annual average first-year fee. It is based on a full-time study load of 80 credit points (normally eight subjects) per year.
Campus
Parramatta
Intake
1st March, 2027
Units
More Information
You may be required to complete 0 credit point units throughout your course. The university will confirm this as part of your enrolment.

The unit total reflects the number of units required for course completion, not the total credit point weight. Some units may be double- or triple-weighted, so the number of units you complete may be lower.
16
Fees
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FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.
FEE-HELP

What you will study

Qualification for this award requires the successful completion of 160 credit points. Unless otherwise indicated, each subject is worth 10 credit points.

Core

Students must complete the following:

  • Visualisation
  • Natural Language Processing
  • Applied Machine Learning
  • Network Technologies
  • Computer Vision
  • Advanced Topics in Artificial Intelligence
  • Artificial Intelligence Ethics and Organisations
  • Information Security Management
  • Postgraduate Capstone Project
  • Knowledge Representation and Reasoning
  • Applied Cybersecurity
  • Postgraduate Research Project
  • ICT Practicum (zero credit points)
Alternate

Entry requirements

Tertiary education

  • Undergraduate degree in Information Technology, Information Systems or Computer Science or equivalent; OR
  • Degrees in other disciplines containing at least eight units in Information Technology or other relevant disciplines, such as data science, engineering, communications technology, may also be eligible; OR
  • 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, 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.

Contact the university or visit its website for more information.

Recognition of Prior Learning

Recognition of prior learning is the process of assessing the knowledge and skills you have gained through previous study, work or other experience. When you apply, the university will determine whether your prior learning can be recognised towards your current course. Contact the university for more information.

Outcomes

Learning outcomes

Upon completion of this program, graduates will be able to:

  • Critique classical and modern machine learning approaches in addressing real problems.
  • Communicate clearly and persuasively on the ethics and responsibility of AI technologies, providing guidance to developers, designers, business leaders and other stakeholders.
  • Integrate foundational knowledge, general principles and methodologies of artificial intelligence (AI) in identifying appropriateness of AI technologies to address complex real-world problems and applications.
  • Evaluate opportunities for the use of modern AI technology in a range of contexts.
  • Analyse the application of natural language understanding theory to practice, considering different approaches and applications in real-world domains.
  • Collaborate with diverse teams and audiences in the design, development, implementation and evaluation of AI technologies, incorporating human-computer interactions.
  • Apply knowledge representation and reasoning in declarative problem solving and reasoning for complex domains.

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 2026: $38,224 (domestic full-fee paying place)

The fee estimate provided is indicative only and subject to change. This estimate is based on the current fee structures for a normal full-time study load.

A student’s fee may vary depending on:

  • Specific subjects chosen.
  • Duration and timing of study.
  • Annual fee adjustments.

Please note that this estimate does not include the Student Services and Amenities Fee.

FEE-HELP loans are available to assist eligible full-fee paying domestic students.