Information
Overview
- Advance your mechatronics engineering knowledge by exploring cutting-edge topics such as control system design, machine vision, and data processing. This degree also delves into artificial intelligence engineering and the topic of machine learning.
- Gain hands-on experience with motors, gearing, and simulation and modelling while studying state space design, filtering techniques, and digital control principles.
- Dive into the world of robotic engineering and learn how different components can be brought together to create seamless mechatronic systems like mobile AI robotic platforms to robotic additive manufacturing assembly or processing systems.
- Discover the intricacies of computer vision and image processing. Learn about the advanced applications of facial recognition technology and how to use a range of software including OpenCV, AR and VR technology, chemical sensors, and penetrative radars.
- From modelling controlling drones to navigating underwater robots, to programming the Boston Robotics dog, you'll master obstacle avoidance, path planning, and the language of robot communication.
Career outcomes
Be prepared to make a difference in the world of medical technology, transportation systems, mining resource extraction, power generation and distribution, renewable energy systems, electric vehicle and even spacecraft and satellites. Common career opportunities for mechatronics and robotics engineers may include:
- mechatronics engineer
- robotics engineer
- automation engineer
- embedded systems engineer
- maintenance/field engineer (robotics)
- product development engineer or test and validation engineer.
Some emerging job roles include:
- AI and machine learning engineer (robotics) – Integrates AI into robotic systems for adaptive behaviour.
- Human-robot interaction (HRI) specialist – Designs systems for intuitive human-robot collaboration.
- Autonomous systems engineer – Works on self-driving vehicles, drones, and intelligent machines.
- Digital twin engineer (mechatronics) – Simulates and optimizes smart systems using virtual models.
- Wearable robotics engineer – Develops exoskeletons and assistive robotic devices.
- Soft robotics engineer – Designs flexible, bio-inspired robotic systems.
- Cyber-physical systems engineer – Integrates computing with physical processes in smart environments.
Professional accreditation
The Master of Engineering Practice is accredited by Engineers Australia and graduates are eligible for graduate membership at the Professional Engineer level.
What you'll study
Explore the courses you'll study as part of this specialisation.
Refer to the UniSQ Handbook for detailed recommended enrolment patterns and course availability.
Relevant degrees for this specialisation
Master of Engineering Practice
Already an Engineering Technologist or Associate? This masters degree offers a fast-tracked path to becoming a professional engineer. Gain credit for experience, choose your specialisation, and build advanced skills in research and innovation—designed with Engineers Australia to help you grow in your career.
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