GraduateEngineering
Master of Advanced Robotics and Artificial Intelligence
Queensland University of Technology, Brisbane, QLD, Australia
About this program
QUT's Master of Advanced Robotics and Artificial Intelligence is a two-year degree in the Faculty of Engineering, taught at the Brisbane campuses. Students work on perception, control, machine learning and autonomous systems in a school home to robotics researchers Michael Milford and Peter Corke, and QUT ranks first in Australia for data mining and analysis. Graduates work as robotics and AI engineers, computer vision engineers and machine learning specialists.
Fees & duration
English test scores
Verified qut.edu.au ↗
Course structure
Study plan in 3 parts
- Year 1
- Semester 1: Machine Learning
- Foundations of Kinematics and Algorithms in Robotics
- Advanced Dynamic System Principles
- Robot Anatomy
- Modern Control
- Year 1
- Semester 2: Research Methods for Engineers
- Reinforcement Learning and Optimal Control
- Decision and Control
- Foundations of Robotic Vision
- Robot Motion
- Control and Planning
- Year 2
- Semester 1: Project 1
- Entrepreneurship and Applications
- Robot Systems
- Advanced Machine Learning
Career & PR pathway
Which careers in Engineering lead to skilled migration depends on the occupation, not the degree title. See the skilled occupation lists guide for which occupations are on each list, and the points calculator to check where you stand.
Admissions
A recognised completed four-year full-time (or equivalent) bachelor degree of engineering in a relevant discipline with a minimum GPA of 4.00 (on QUT's 7 point scale), or a recognised completed three-year full-time bachelor degree of engineering plus at least 2 years full-time professional experience in robotics.
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