Master of Information Technology (Artificial Intelligence)
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.
Feb, Apr, Jul, Oct
2 years full-time or part-time equivalent
AUD $ 19,400
Domestic Student
*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.
Why this course
This course is created for those who want to shape how AI is used. It combines deep technical knowledge with hands-on experience, giving you the skills to build intelligent systems that solve real-world problems. You’ll explore key areas like natural language processing, deep learning and AI governance, while gaining practical experience with tools like Python, TensorFlow and Jupyter.
Flexible study
Part-time or full-time study available to suit your study needs
Online study
100% online
Accreditation
Accredited by the Australian Computer Society
Course units
You must complete a total of 192 credit points.
12 credit points
12 credit points
12 credit points
12 credit points
Complete 60 credit points of advanced core units
12 credit points
12 credit points
12 credit points
12 credit points
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.
12 credit points
12 credit points
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.
12 credit points
12 credit points
Complete three of the following units (36 credit points of study):
12 credit points
12 credit points
12 credit points
Choose one of the following (12 credit points of study):
12 credit points
12 credit points
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.

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
, 2025
Data scientist
Search for patterns throughout raw data to help provide insights into or solve real-world problems. Data scientists are employed in a range of fields, including finance, IT, public administration, health, and retail.
-
Average Salary
$120,000
-
Industry Job Satisfaction of
4/5
-
Industry Growth
+11%
Projected job growth in next 5 years
, 2025
Software engineer
Design, develop and maintain software systems. The complexity and size of these systems can range from desktop applications to international online platforms.
-
Average Salary
$115,000
-
Industry Job Satisfaction of
4/5
-
Industry Growth
+27.0%
Projected job growth in next 5 years
, 2025

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.
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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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.
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