Master of Advanced Robotics and Artificial Intelligence

The Master of Advanced Robotics and Artificial Intelligence at Queensland University of Technology (QUT) is designed for those interested in building skills at the intersection of robotics, machine learning, and autonomous systems. Delivered over two years in Brisbane, this program focuses on core topics in electrical and electronic engineering while covering emergent AI technologies, intelligent automation, computer vision, and real-time data processing. Students examine the theory and application of robotics in sectors such as manufacturing, environmental monitoring, health, and transport in the Australian context.

QUT structures this master’s degree around units of study, each assigned specific credit points. Full completion usually involves multiple semesters of coursework adding up to the required credit points. Students can expect hands-on learning, group projects, and exposure to real-world case studies reflecting industry approaches in Australia. A research project or capstone experience toward the end of the programme gives students the chance to work on advanced problems or industry-linked tasks, making them job-ready for roles that blend practice and theory.

Skills developed include robotic system design, software and hardware integration, development and deployment of AI algorithms, project management, and effective communication. The course suits engineers, computer scientists, and those with experience in technical fields who are aiming to pivot into robotics and AI. Previous exposure to programming and mathematics is an advantage for tackling technical coursework. QUT’s connections to local industry and research groups mean students may access professional placements or participate in authentic projects, deepening their practical understanding.

International students at QUT can work up to 48 hours per fortnight while studying, and graduates may be eligible to apply for the Temporary Graduate visa (subclass 485) post-study work stream. Course credit transfer and recognition of prior learning may be available, details of which must be confirmed directly with the university. Always check the official QUT site for the latest on structure, requirements, and support services available to students in Australia.

• Robotics Engineer in manufacturing, logistics, or mining
• AI Specialist or Machine Learning Engineer in technology or consulting firms
• Automation Systems Developer for Australian agriculture, health, or transport organisations
• Technical Project Manager on advanced engineering teams
• Research and development roles in universities or public agencies