A first or good second-class UK Honours degree or equivalent overseas qualification in electronic, electrical, communications or design manufacture engineering, or a science-related subject from a recognised academic institution.
Candidates whose first language is not English or who have not undertaken their undergraduate course in the UK must possess a recent UKVI-recognised English qualification.
Months of entry
This MSc focuses on state-of-the-art technologies for autonomous control and machine learning with applications in robotics, sensor networks, big data analytics, and autonomous agents.
Emphasis is given to topics that support a new emerging generation of self-sustaining and intelligent devices created for the Internet of Things, Ubiquitous Computing, and Industry 4.0 environments.
This degree is designed to provide a wide-ranging background in autonomous technologies that can be applied in a variety of disciplines.
In addition to traditional technologies related to robotics, embedded systems, design, and control, students will be exposed to system-level design methods and state-of-the-art theory behind some of the newest and most promising fields of artificial intelligence.
Applications include autonomous mobile systems, digital manufacturing, Big Data analytics, Internet of things device engineering, and artificial intelligence programming.
This ensures you have access to academic leaders in the fields of machine learning, autonomous systems, digital manufacturing and design engineering.
Information for international students
We have a large range of scholarships available to help you fund your studies. Check our scholarship search for more help with fees and funding.
Fees and funding
Students are eligible for a range of scholarships offered by the Departments, University and external organisations. View our scholarship search for more information.
Qualification and course duration
Course contact details
- Lynn Gilmour
- 0141 548 2170