Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 year
Robotics is increasingly important to a variety of sectors, including manufacturing, healthcare and aerospace. Autonomous systems and robotics, the Internet of Things, smart grids and cloud computing are also being used more widely.
This course will help you develop your knowledge and skills in the key areas of robotics and autonomous systems. You'll learn about machine and artificial intelligence (AI), robotic sensing and perception, control and planning and robotic devices and systems. You’ll be able to apply your skills across many engineering disciplines and you’ll use the latest industry standard CAD and hardware tools to design and analyse mechatronic systems.
You can choose optional modules, including working with companies on real opportunities and problems experienced by industry, or specialising further in AI by understanding machine learning.
In addition to taught modules, you will undertake an individual research project, working alongside world-class academics and using state-of-the-art facilities. The project provides an opportunity to apply your knowledge to a real engineering problem, often in collaboration with industry or research centres.
Graduates from the programme are well prepared to enter both technical and leadership roles in robotics, or use their skills in industrial automation, aerospace, automotive and energy sectors.
Accredited by the Engineering Council UK, Institution of Engineering and Technology and the Institute of Measurement and Control.
Minimum 2:1 undergraduate honours degree in a relevant subject with relevant modules.
Our courses are shaped by strong industry connections and cutting-edge research. Our Industry Advisory Board - featuring representatives from leading companies across the sector - ensures our programmes remain globally competitive and aligned with evolving industry needs.
Graduates from this course have gone on to work at major companies including Intel, HP, BYD, Huawei, Mathworks and TikTok. They take up roles as software engineers, developers and programmers or project engineers. Some choose to pursue further study through postgraduate research.
Throughout your studies, you'll have opportunities to attend industry talks, career fairs and networking events. You can also apply for additional mentorship through our Career Mentoring Scheme, which pairs students with alumni working in industry. Our Careers and Employability Service offers a wide range of support, including drop-in sessions, workshops, webinars and events - focused on career planning, work experience, employer insights, CV writing, interview techniques and more.
Core modules:
Individual Research Project
Systems and Control
Data Modelling and Machine Intelligence
Mechatronics for Robotics
Machine Vision
Mobile Robotics and Autonomous Systems
Multisensor and Decision Systems
Optional modules - choose 15 credits from:
Deep Learning
Industrial Training Programme in Artificial Intelligence for Engineering
Optional modules - choose 15 credits from:
Optimisation: Theory, algorithms and applications
Real-Time Embedded Systems
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