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100% online Masters

Master of Information Technology (Artificial Intelligence)

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Course overview

Built for thinkers and changemakers

The Master of Information Technology (Artificial Intelligence) equips you with advanced expertise in AI and machine learning, while developing broader capabilities across the IT field. You’ll cover key areas, including natural language processing, deep learning, and AI governance, equipping you with the specialist knowledge and tools to develop and implement complex AI systems.

You’ll graduate with the ability to critically analyse problems, apply advanced methods, and reflect on the ethical and cultural dimensions of your work. In addition to these soft skills, you will gain hands-on experience with industry tools such as Python, TensorFlow and Jupyter, making sure you are job-ready by graduation.

Whether you’re aiming for roles like ML engineer, AI consultant or researcher, this fully online master’s course gives you the skills and the mindset to succeed.

Learn more about the Master of Information Technology Artificial Intelligence with QUT Online.

Feb, Apr, Jul, Oct

Academic Calendar
Start Date

2 years full-time or part-time equivalent

Duration

AUD $ 19,400

Includes 70% off with CSP subsidy.
Fees in Detail
Estimated Total Fees

Domestic Student

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Entry Criteria

*Limited Commonwealth Supported Places (CSPs) available for domestic students only. Annual fees are subject to change and are dependent on selected units. For more information on CSPs, see below.

Course units

You must complete a total of 192 credit points.

Programming Fundamentals

12 credit points

Rapid Web Development with Databases

12 credit points

Computer Systems and Security

12 credit points

Systems Innovation and Design

12 credit points

Complete 60 credit points of advanced core units

Machine Learning

12 credit points

Cyber Security and Governance

12 credit points

Software Lifecycle Management

12 credit points

Human-Centred Design of IT Systems

12 credit points

Introduction to Research

12 credit points

Select one capstone pathway (industry or research) and complete 36 credit points of study. Please note that the research pathway requires on-campus attendance.

Industry Project (Phase 1)

12 credit points

Industry Project (Phase 2)

12 credit points

Industry Project (Phase 3)

12 credit points

Complete 36 credit points of study. Please note, this is optional and provides a pathway to the PhD program. These units would be taken in place of the capstone units above (IFQ735, IFQ736-1 and IFQ736-2) and require on-campus attendance.

Industry Research Project (Phase 1)

12 credit points

Industry Research Project (Phase 2)

12 credit points

Complete three of the following units (36 credit points of study):

Trust and Artificial Intelligence

12 credit points

Machine Learning for Natural Language Processing

12 credit points

Advanced Machine Learning and Applications

12 credit points

Choose one of the following (12 credit points of study):

Introduction to Data Science

12 credit points

Data Analytics for Strategic Decision-Makers

12 credit points

Introduction to Statistics for Data Science

12 credit points

Entry requirements

You can gain entry into the Master of Information Technology (Artificial Intelligence) with the following:

2-year program

  • A completed recognised bachelor’s degree (or higher) in any discipline with a minimum GPA of 4 (on a 7-point scale)

1.5-year program

  • A completed recognised bachelor’s degree (or higher) in information technology with a minimum GPA of 4 (on a 7-point scale)

or

  • A completed recognised bachelor’s degree (or higher) in any discipline with a minimum GPA of 4 (on a 7-point scale) plus 3 years FTE of professional work experience in information technology

or

  • A completed recognised Graduate Certificate in Information Technology with a minimum GPA of 4 (on a 7-point scale)

or

  • A completed QUT IQ14, IQ15, IQ16, IQ18, or IQ30 Graduate Certificate

1-year program

  • A completed recognised Graduate Diploma in information technology (in the same discipline as the planned IQ20 major) with a minimum GPA of 4 (on a 7-point scale)

or

  • A completed QUT IQ19 Graduate Diploma in Information Technology (in the same discipline as the planned IQ20 major)

Early exit options

Students who are enrolled in this course may be eligible to exit their course with a Graduate Certificate of Information Technology (IQ18) after successful completion of an approved 48 credit points of units, or a Graduate Diploma in Information Technology (IQ19) after successful completion of an approved 96 credit points of units.

Course outcomes

As a graduate of this course, you will demonstrate advanced knowledge in artificial intelligence and machine learning, with the ability to apply industry tools and techniques to complex IT systems. You’ll be equipped to critically analyse AI challenges, design innovative solutions, and communicate your ideas effectively across technical and non-technical audiences.

a student writing on their notebook

Skills and tools in this course

  • Demonstrate understanding of AI research principles and apply them to real-world scholarly or professional projects
  • An optional research stream can lead to a PhD entry for future academics
  • Demonstrate advanced knowledge in the artificial intelligence discipline
  • Apply advanced AI methods and tools to design and implement complex IT systems and solutions
  • Critically assess complex AI challenges and apply creative solutions
  • Demonstrate business acumen and well-developed values, attitudes, behaviours and judgements in professional contexts

Potential career opportunities

Chief technology officer

Coordinate your organisation’s IT resources and activities to ensure they align with strategic goals and support business growth.

  • Average Salary

    $220,000

  • Industry Job Satisfaction of

    4.5/5

  • Industry Growth

    +17.7%

    Projected job growth in next 5 years

, 2026

AI Product Manager

Lead the strategy, development, and delivery of AI-powered products, bridging technical innovation with business impact.

  • Average Salary

    $230,000

  • Industry Job Satisfaction of

    4/5

, 2026

Machine Learning Engineer

Design, build, and optimise machine learning models and systems to solve real-world problems and drive intelligent product experiences.

  • Average Salary

    $145,883

  • Industry Job Satisfaction of

    4/5

Lead implementation of AI governance balancing innovation and risk management.

  • Average Salary

    $160,000

  • Industry Job Satisfaction of

    3.5/5

, 2026

Automation Consultant

Leverage AI and intelligent systems to streamline workflows, optimise processes, and enhance operational efficiency across an organisation.

  • Average Salary

    $103,000

  • Industry Job Satisfaction of

    4/5

, 2026

How online study works

Learn in your own way

Experience the unwavering support of our university as you embark on your online learning journey.

  • Flexible and supportive options for your lifestyle
  • The easy application and enrolment process
  • Alignment with career aspirations

Ready to apply?

Apply online by filling out an application form, or speak to a course consultant on 1300 104 196.

Apply now
Download brochureContact us

We do have a shortened master’s program for eligible applicants. Please see the entry requirements for this course.

Any experience in the IT field could help you with this course; however, it is not essential to be successful.

Yes, CSPs are available for all Information Technology courses, including bootcamps. CSPs allow domestic students to have a significant portion of their university or higher education fees subsidised by the Australian government.

Information Technology (IT)

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Lifelong learning in the age of automation

As technology evolves and career pathways change, lifelong learning has become increasingly important. By upskilling for the future of work today, you will set yourself up for a dynamic career in the workplaces of tomorrow.

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Got a question?

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If you’re not ready to apply or want to know more before you submit your application, you can request more information by calling us on 1300 104 196 or by completing our enquiry form.

Ready to apply?

Apply online by filling out our application form or speak to a Course Consultant on 1300 104 196.

Apply Now

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