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University of New England

Master of Artificial Intelligence

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

Course overview

The Master of Artificial Intelligence course will provide you with a solid foundation in key areas of AI such as machine learning, computer vision, data processing and software development, ensuring you have in-depth knowledge of how AI is currently used and how it may be used in the future. You will graduate from this course ready to conduct cutting-edge research using AI, evaluate and propose AI-driven solutions for emerging challenges in a wide range of fields, and effectively communicate complex AI concepts to diverse audiences, from other technical experts to non-specialists.

Whether you’re an established IT professional looking to upskill, or looking to pivot into a new and rising field, UNE’s Master of Artificial Intelligence ensures you will graduate ready to excel in your career.

CSP Subsidised Fees Available

This program has a limited quota of Commonwealth Supported Places (CSP). The indicative CSP price is calculated based on first year fees for EFT. The actual fee may vary if there are choices in electives or majors.

Key facts

Delivery
Online
Course Type
Master's
Duration
More Information
Can be studied part time
24 months (Full time)
Price Per Unit
From $3,938
More Information
Estimated prices are calculated based on a first year and full-time study load of eight units or 48 credit points.

From $1,068 (CSP)
More Information
You may be eligible for CSP where the government pays part of your fees. Estimated CSP prices are calculated based on a first year and full-time study load of eight units or 48 credit points.
Intake
February, 2026
June, 2026
Units
16
Fees
More Information
FEE-HELP loans and HECS loans are available to assist domestic students.
FEE-HELP, HECS, CSP

What you will study

To qualify for the award, a candidate must pass units to the value of 96 credit points including a minimum of 36 credit points at 500 level and a maximum of 12 credit points at 600 level. Each unit is valued at six credit points unless otherwise indicated.

Rule A

Complete the following units:

  • Mathematics for Machine Learning and Artificial Intelligence
  • Introduction to Programming and the UNIX Environment
  • Fundamentals of Cybersecurity and Privacy
  • Programming Paradigms
  • Software Project Management
  • Machine Learning with Big Data
  • Artificial Intelligence
  • Deep Learning
  • Reinforcement Learning
  • Algorithms in Machine Learning
  • Statistical Learning

Rule A - Additional core

Complete six credit points from the following units:

  • Software Development Studio 1
  • Data Science Studio 1

Rule A - Research or Project Capstone

Complete either the Research Capstone or Project Capstone:

Research Capstone

  • Computing Science/IT Thesis (24 credit points)

Project Capstone

Complete the following units:

  • Information Technology Project: Proposal and Design
  • Information Technology Project: Implementation

Additional Project Capstone - Group 1

Complete six credit points from the following units:

  • Database Management Systems
  • Operating Systems

Additional Project Capstone - Group 2

Complete six credit points from the following units:

  • Parallel and Distributed Computing
  • User Experience and Interaction Design
Rule B
Rule C

Entry requirements

This course is offered under three admission rules:

Rule A: You have completed a Bachelor qualification or above (AQF Level 7, 8 or 9 or overseas equivalent) in any discipline.

  • If admitted on this basis, you will be eligible for admission under Rule A.

Rule B: You have completed a Bachelor's qualification (AQF Level 7 or overseas equivalent) in a relevant discipline.*

  • If admitted on this basis, you will be eligible for admission under Rule B.

Rule C: You have completed a Graduate Certificate, Graduate Diploma or Bachelor with Honours (AQF Level 8 or overseas equivalent) in a relevant discipline.*

  • If admitted on this basis, you will be eligible for admission under Rule C.

* Relevant disciplines include, but are not limited to, the following:

  • Computer Science
  • Data Science
  • Information Systems
  • Information Technology
  • Mathematics
  • Software Engineering
  • Statistics

English language requirements

When applying, you may be required to show how you satisfy the English language requirements for this course. Contact the university or visit their website for more information.

Recognition of Prior Learning

Advanced Standing is credit or recognition of your previous study, work and/or life experience. This can reduce the cost and length of your studies.

Course Entry Advanced Standing

Some entry rules come with Advanced Standing or Articulation Programs that are assessed automatically without the need for you to fill in an additional application. Simply apply for your course and we’ll look after the rest.

  • If admitted under Rule B, you will be granted 24 credit points of Block Advanced Standing.
  • If admitted under Rule C, you will be granted 48 credit points of Block Advanced Standing. You cannot apply for further Advanced Standing.

Individual Unit Advanced Standing

If you are admitted into this course and believe you have already completed the equivalent of one or more of the units in your study within the last ten years, you can apply for Individual Unit Advanced Standing.

Please note: Advanced Standing cannot be granted for the following units:

  • COSC593 Computing Science/IT Thesis
  • COSC594 Information Technology Project: Proposal and Design
  • COSC595 Information Technology Project: Implementation

Contact the university or visit their website for more information.

Outcomes

Learning outcomes

  • Demonstrate an in-depth understanding of the key tools, methods and theories that underpin artificial intelligence technologies with a level of sophistication consistent with advanced professional practice.
  • Synthesise information from data and analyse the application of artificial intelligence technology within an organisation.
  • Apply complex problem-solving skills and advanced knowledge to implement solutions for real-world problems that incorporate artificial intelligence technologies.
  • Communicate effectively with expert and non-expert audiences to understand issues and gather requirements for the development of artificial intelligence technologies and related systems within an organisation.
  • Integrate theories and methods related to artificial intelligence, data science and software development by planning and executing an industry-aligned research project.
  • Critically evaluate information from a range of sources, such as peer-reviewed literature and technical documentation, to assess current developments in the area of artificial intelligence.
  • Demonstrate a sophisticated awareness of the ethical and legal issues that relate to the development of systems that incorporate artificial intelligence technologies.

Career outcomes

As the capabilities of Artificial Intelligence (AI) expand, so will your career opportunities. With more industries beginning to use AI each year, you can excel in a wide variety of sectors, including:

  • IT and Software Development
  • Finance
  • Healthcare
  • Government and Public Sectors
  • Manufacturing
  • Telecommunications

Fees and CSP

Estimated first-year fee in 2026: $8,544 (Commonwealth Supported Place)

Estimated first-year fee in 2026: $31,504 (domestic full-fee paying place)

Estimated amenities fee per year if studying full-time: $373

The costs will depend on the units you choose to study, as the cost of individual units varies. “Estimated fees” are provided as a guide only based on a typical enrolment of students undertaking a study load of 48 credit points in the first year of this course. For courses that require fewer than 48 credit points, the fees indicated are based on the total credit points needed for the completion of that course.

Student fees may vary in accordance with:

  • The number of units studied per term.
  • The choice of major or specialisation.
  • Choice of units.
  • Credit from previous study or work experience.
  • Eligibility for government-funded loans.

Commonwealth Supported Places

The Australian Government allocates a certain number of CSPs to the universities each year, which are then distributed to students based on merit.

If you're a Commonwealth Supported Student (CSS), you'll only need to pay a portion of your tuition fees. This is known as the student contribution amount – the balance once the government subsidy is applied. This means your costs are much lower.

Limited CSP spaces are offered to students enrolled in selected postgraduate courses.

Your student contribution amount is:

  • Calculated per unit you're enrolled in.
  • Dependent on the study areas they relate to.
  • Reviewed and adjusted each year.

Student fees shown are subject to change. Contact the university directly to confirm.

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

HECS-HELP loans are available to CSP students to pay the student contribution amount.