Major overview
Artificial Intelligence and Autonomous Systems professionals build software for smart systems like driverless cars, smart robots, intelligent chatbots, and intelligent diagnostic systems.
This course is designed to provide you with an in-depth understanding of the theory, methods, systems, software design and development used in Artificial Intelligence and Autonomous Systems that can be used in different industries and organisations.
You will be equipped with the knowledge and hands-on experience with up-to-date technologies that prepare you for the workforce.
The number of jobs emerging in Artificial Intelligence and Autonomous Systems is increasing yearly, allowing you to create and develop productivity improvements and efficiencies for most industries across the globe.
To broaden your skills and career opportunities, you could study this major alongside another Bachelor of Information Technology major. You could also enhance your future prospects with great scholarships like the $15,000 Westpac Young Technologists Scholarship Program. This scholarship can lead to networking opportunities with industry professionals and career opportunities before you graduate.
3 reasons to study a Bachelor of Information Technology in Artificial Intelligence and Autonomous Systems
- Work with leading researchers and practitioners in exciting real-world AI projects, at the five-star rated university for student support at both undergraduate and postgraduate level by the Good Universities Guide 2026.*
- Have the opportunity to utilise VR/AR technology for multidimensional data visualisation and simulation, and get industry-ready in our IT Innovation Hub, which includes a networking and gaming facility, a mixed and augmented reality studio, cyber security and networking labs.
- Graduate with a competitive edge by completing a double major (with another IT major in Information Technology) to broaden your computing skills, and by having the opportunity to take on real clients with our project-based units.
Develop your skills
Build the knowledge and skills you need to meet your career or study goals. Topics you’ll cover include:
- Artificial intelligence and autonomous systems theory and practice
- Artificial intelligence system design theory
- Core concepts and principles of computing technology
- Data visualisation and simulation
- Machine learning
- Artificial intelligence and intelligent agents
- Systems analysis and design
Your career
Artificial Intelligence and Autonomous Systems provides exciting job prospects, spanning multiple industries. This has created a large interest and demand for skilled professionals in this area. Careers could include:
- Data Scientist
- Data Analyst
- Business Analyst
- AI Specialist
- Machine Learning Engineer
- Data Engineer
- AI Engineer
- Smart Systems Developer
For further admission information about this course, please view our Admission Information: Murdoch Admission Information - Science
Professional accreditation
This major is accredited by the Australian Computer Society (ACS) when completed as part of the Bachelor of Information Technology (B1390) or Bachelor of Laws/ Bachelor of Information Technology (B1398).
Professional recognition
Graduates who complete this major as part of the Bachelor of Information Technology (B1390) or the Bachelor of Laws/ Bachelor of Information Technology (B1398) are eligible to apply for membership of the Australian Computer Society (ACS) at the Professional level.
Start dates
| Starting period | Location | Face to Face | Online |
Mixed mode
In this attendance mode, teaching and learning activities are delivered both face-to-face and online, with scheduled or flexible learning times. |
|---|---|---|---|---|
| Semester 1, 2026 | Murdoch | Yes | Yes | No |
| Semester 2, 2026 | Murdoch | Yes | Yes | No |
| Semester 1, 2027 | Murdoch | Yes | Yes | No |
| Semester 2, 2027 | Murdoch | Yes | Yes | No |
View the dates for our teaching periods or find out more about attendance modes.
| Starting period | Location | Face to Face | Online |
Mixed mode
In this attendance mode, teaching and learning activities are delivered both face-to-face and online, with scheduled or flexible learning times. |
|---|---|---|---|---|
| Semester 1, 2026 | Murdoch | Yes | No | No |
| Semester 2, 2026 | Murdoch | Yes | No | No |
| Semester 1, 2027 | Murdoch | Yes | No | No |
| Semester 2, 2027 | Murdoch | Yes | No | No |
View the dates for our teaching periods or find out more about attendance modes.
Start dates (Transnational)
| Starting period | Location | Face to Face | Online |
Mixed mode
In this attendance mode, teaching and learning activities are delivered both face-to-face and online, with scheduled or flexible learning times. |
|---|---|---|---|---|
| Trimester 1, 2026 | Kaplan Higher Education Academy Pte. Ltd | No | No | Yes |
| Trimester 1, 2026 | Murdoch University Dubai, UAE | Yes | No | No |
| Trimester 2, 2026 | Murdoch University Dubai, UAE | Yes | No | No |
| Trimester 2, 2026 | Kaplan Higher Education Academy Pte. Ltd | No | No | Yes |
| Trimester 3, 2026 | Murdoch University Dubai, UAE | Yes | No | No |
| Trimester 3, 2026 | Kaplan Higher Education Academy Pte. Ltd | No | No | Yes |
| Trimester 1, 2027 | Kaplan Higher Education Academy Pte. Ltd | No | No | Yes |
| Trimester 1, 2027 | Murdoch University Dubai, UAE | Yes | No | No |
| Trimester 2, 2027 | Murdoch University Dubai, UAE | Yes | No | No |
| Trimester 2, 2027 | Kaplan Higher Education Academy Pte. Ltd | No | No | Yes |
| Trimester 3, 2027 | Murdoch University Dubai, UAE | Yes | No | No |
| Trimester 3, 2027 | Kaplan Higher Education Academy Pte. Ltd | No | No | Yes |
View the dates for our teaching periods or find out more about attendance modes.
Major Structure
Visit the Course Handbook - Get detailed information on units, prerequisites, and pathways.
To help plan the structure of your course, search for our suggested course plans.
| Unit code | Unit name | Credit points |
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How to Apply
Majors are part of a degree and can't be applied on their own. Apply for a related degree first, then choose your major once enrolled.