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Course summary

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.


Compulsory classes: Intelligent Sensing and Reasoning and through Machine Learning, Neural Networks and Deep Learning, Digital Manufacturing Concepts, Manufacturing Automation, Design for Industry 4 and Smart Products, Mechatronic Systems Design Techniques, Robotics: Systems and Control, Assignment and Professional Studies, MSc Research Project/ Internship. Elective Classes: Strategy Technology Management, Product Modelling and Visualisation, Design Methods, Systems Thinking and Modelling, Micro and Nano Manufacturing, Advanced Forming and Technology Systems, Advanced Materials and Production Technology, Advanced Microcontroller Applications, Image and Video Processing, Control Principles, Advanced Digital Signal Processing, Embedded Systems Design, Design Management, Knowledge and Information Management, for Engineers

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.

Fees and funding

Tuition fees

Scotland £9250 Year 1
England £9250 Year 1
Northern Ireland £9250 Year 1
Wales £9250 Year 1
International £23050 Year 1

Additional fee information

For information on tuition fees, additional costs and funding for this programme, please view the programme details on the University of Strathclyde website.

Sponsorship information

Autonomous Robotic Intelligent Systems at University of Strathclyde - UCAS