Course details
Course description
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. The MSc is delivered jointly by the Departments of Electronic & Electrical Engineering, and Design, Manufacturing & Engineering Management. This ensures you have access to academic leaders in the fields of machine learning, autonomous systems, digital manufacturing and design engineering.
Subjects
- Robotics
- Mechatronics
Entry requirements
Normally a first or second-class degree or equivalent overseas qualification in electronic, electrical, communications or design manufacture engineering, or a science-related subject from a recognised academic institution.
Course options
Course details
Full time
1st Sep 2023 to 1st Sep 2024
Cost: £9,250.00 (ex. VAT)
Venue details
University of Strathclyde
McCance Building
16 Richmond Street
Glasgow
G1 1XQ