Master of Information Technology (Artificial Intelligence)

The Master of Information Technology (Artificial Intelligence) at Charles Darwin University explores topics at the centre of AI development – think machine learning, neural networks, natural language processing, and intelligent systems. Across two years of full-time study, students build the practical skills that businesses and organisations in Australia are seeking, with hands-on projects and real-world applications forming a core part of the experience.

This master’s course is structured into units of study, each carrying a number of credit points, to let you shape your learning path around your interests and career goals. Expect to tackle core IT units before specialising in advanced AI, tackling subjects like data mining, robotics, and ethical considerations around artificial intelligence. Many students will complete a capstone research project, which is your chance to dig into a topic in depth or solve a genuine business problem. If you want to apply what you learn to real industry challenges, look for work-integrated learning or placement opportunities—you’ll be able to build networks and experience in Darwin’s growing IT sector.

Throughout, you develop solid technical skills, but also the ability to communicate ideas, manage projects, and approach ethical and legal questions with a critical eye. This course suits anyone with an established background in IT, computer science or similar, who wants to specialise further and move into roles focused on artificial intelligence solutions. It fits well for both new graduates and professionals looking to upskill in a field that’s seeing strong demand across Australia.

Australian universities support international students with up to 48 hours of work rights per fortnight during study, and the Temporary Graduate visa (subclass 485) may be available once you complete your course—visit the official page for current details. You’ll also benefit from a uniquely Top End perspective, with opportunities to engage with industry and research in a rapidly changing local context.

• Artificial Intelligence Engineer
• Machine Learning Specialist
• Data Scientist
• Intelligent Systems Developer
• AI Solutions Architect
• Research and Development Specialist
• Roles in the IT, defence, health, agriculture, mining, and education sectors across Australia