Master of Artificial Intelligence (AI)
Join the AI revolution
Ranked above world standard*
Choose an industry-focused specialisation
Graduate with real-world experience
Learn more today
Complete the form to learn more about this program.
Duration**
24 months
Cost per subject
$4,150
Total subjects
16
Course benefits
- Career-ready. Learn the skills needed for today’s AI positions.
- Industry-focused. Microsoft certification skills are infused into our curriculum with applied AI, machine learning and NLP knowledge.
- Hands-on. Use the same skills and technologies professionals rely on every day.
Program overview
Kickstart your career in this exciting field with La Trobe’s online Master of Artificial Intelligence course.
You’ll learn to harness key AI technologies and applications that spark innovation throughout industries. Graduate with the technical capabilities to drive change and improve business outcomes across digital healthcare, smart manufacturing, smart cities, sustainable energy infrastructure, precision agriculture and more.
You’ll study exciting subjects in machine learning, artificial intelligence in bioinformatics, image processing and virtual reality to graduate with a strong foundation in AI and cross-disciplinary skills – an attractive combination for potential employers.
Build hands-on experience using your AI skills to solve real-world problems when you take on an industry-based project. Students have worked with Microsoft, Optus, 4pi Lab, Aerion, Quantum Victoria, Nanjing University of Information Science and Technology, Pivot Maritime International and Axicor.
Career Outlook with the Master’s in AI
The Australian government’s 2021–22 budget to develop AI is AU$124.1M1 while global revenue is forecasted to reach $29 billion by 2024.2 By 2030, it’s projected that 161,000 AI professionals will be needed in Australia.2
View your next careerCourse structure: gain real-world experiences
16 subjects
240 credit points
Our online Master of Artificial Intelligence prepares students from any academic or professional background with the knowledge, skills and experience they need to step into AI roles with confidence.
Course completion options
Complete the online Master of Artificial Intelligence course in a way that makes sense for your career path. Choose from:
- Industry-based learning. Complete part of your learning through your workplace or at another organisation.
- Project-based learning. Use La Trobe’s extensive network to complete a real-world project with one of our partner organisations.
- Research-based learning. Complete industry research that adds to the sector.
Course highlights:
- CSE5ML Machine Learning
- CSE4002 Artificial Intelligence Fundamentals
- CSE4DBF Database Fundamentals
- CSE5CV Computer Vision
Entry requirements: enrol today
No cognate degree required
No application fee
To enrol in La Trobe’s online Master of Artificial Intelligence course, you’ll need:
| Successful completion of an Australian bachelor degree (or equivalent). |
| transcripts from all prior universities |
Fee details: invest in your future
$4,150 per subject
16 subjects
Scholarships available
It’s not too late to learn the top artificial intelligence skills so you can step into this rapid-growth sector.
The online Master of Artificial Intelligence at La Trobe provides learning pathways based upon the cognate area of your undergraduate degree. So regardless of your background, you can start building the skills, knowledge and experience you need to accept in-demand positions with high-paying salaries.
Fees are correct at the time of publishing and are subject to change. Scholarships are available.
See feesCourse outcomes
When you graduate from La Trobe’s online Master of Artificial Intelligence course, you’re ready for roles in this rapidly growing sector with advanced skills, knowledge and hands-on experience employers look for.
You’ll know how to:
- Problem-solve with AI
Use research skills and deep learning algorithms to develop AI-based solutions to real-world problems. - Improve human and computer communication
Develop natural language processing (NLP) pipelines using code libraries to boost communication output. - Design, research and investigate
Learn how to address design issues using machine learning models, algorithms and computer vision tasks. - Use deep learning techniques and AI
Use deep learning techniques to aid AI functions such as image recognition, machine translation and speech synthesis. - Understand the social and ethical impact of AI
Gain an understanding of the moral and societal issues in the IT industry and the impact of how AI is used.
Graduate certificate and diploma options
Two early exit points mean that every stage of your degree equips you for your future career. Exit after six months with a Graduate Certificate in Information Technology Fundamentals or exit after one year with a Graduate Diploma in Artificial Intelligence.
Your teachers
Learn from experienced researchers and practitioners who can guide you through real-life examples and provide industry insights. They’ll provide expert guidance in the online Master of Artificial Intelligence, so you can take on in-demand roles with confidence.
Professor Henry Duh is the head of the Computer Science and Information Technology department. He holds advanced degrees in psychology, industrial design and engineering and focused his postdoctoral training on a virtual reality project in the NASA-Johnson Space Centre.
Before joining La Trobe University, he was a faculty member in the School of Mechanical and Aerospace Engineering, Nanyang Technological University; Department of Electrical and Computer Engineering, National University of Singapore; and both the School of Engineering as well as ICT, University of Tasmania.
Professor Duh is an ACM Distinguished Speaker and has published more than 150 conference and journal papers in the HCI area. He was the Co-Director of Keio-NUS Connective Ubiquitous Technology for Embodiments Centre and Director of the Human Interface Technology Lab Australia (a joint research centre between the University of Tasmania and the University of Washington). Professor Duh has attracted more than US$5M funding as the Lead CI/PI (or US$10M as CI/Co-PI) from government agencies and industries.
Duh actively engages with local communities. He was a board director of Tourism Northern Tasmania, an Ambassador of Business Event Tasmania, a member of Australian Council of Deans of Information and Communication Technology, Australia Computer Society (Tasmania branch), CSIRO Data61 University Partnerships Committee and participated in federal and state-funded projects such as Sense-T’s Pathways to Market project and the Australian Research Council’s Industrial Transformation Research Hub for Transforming the Mining Value Chain.
What’s it like to learn online?
As an online student, you’ll work with the same accomplished teachers who deliver our on-campus subjects. You’ll receive one-on-one support and benefit from the same opportunities as our students on campus. However, you’ll get to learn where and when it’s most convenient for you.
Discover moreStudy assist
La Trobe online courses are eligible for FEE-HELP for domestic students. Speak with an enrolment adviser. We can help you discover what’s available to help you pay for your course.
Talk to usFrequently asked questions
We’re always happy to chat with you. If you’d rather talk one-on-one or have a question you don’t see answered here, request more information or call (+61 3) 9917 3009.
You can complete your course in just one year if you enrol with a cognate Bachelor’s and study full-time. To see the curriculum, view our subjects page.
Tuition fees range from $48,600–$64,800. The tuition fee is $3,825 per subject. You’ll need to complete 12 subjects if you have a cognate Bachelor’s, 16 subjects if your Bachelor’s is in another area of study. You can review all fee details here.
The first step is to start your application.
The Master of Artificial Intelligence has 4 intake periods per year. To see the intake periods, view our academic calendar page.
Sources and Citations
*Ranked by the Australian Research Council in 2019 for our research in information systems.
**Please note: Course completion time may be dependent upon your educational background.