Department of Automatic Control and Systems Engineering,
Faculty of Engineering
Robotics is increasingly important to a variety of sectors, including manufacturing, healthcare, aerospace, marine and many more. Cyber-physical systems, such as robotics and autonomous systems, the Internet of Things, the smart grid and cloud computing, are being used more widely
This course helps you translate your existing knowledge and skills by developing your knowledge and skills in the key areas of robotics and autonomous systems. You’ll learn about sensing and perception, cognition and autonomy, control and planning and robotic devices and systems.
You’ll be able to apply your skills across many engineering disciplines and you’ll use industry-standard CAD and hardware tools to design and analyse mechatronic systems.
- Data Modelling and Machine Intelligence
- Foundations of Robotics
- Mechatronics for Robotics
- Manipulator Robotics
- Mobile Robotics and Autonomous Systems
- Machine Vision
- Multisensor and Decision Systems
- Robotics Project and Dissertation
- Industrial training programme (ITP) in Computational Intelligence
- Deep Learning
The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption. We are no longer offering unrestricted module choice. If your course included unrestricted modules, your department will provide a list of modules from their own and other subject areas that you can choose from.
There are lectures, seminars, tutorials, individual assignments and a major research project.
Our new MSc Robotics will provide you with the essential knowledge, understanding and skills that are needed for designing, implementing and deploying the robotics and autonomous systems (RAS) of the future. You will be inspired to think differently and create innovative solutions with the potential to change our lives.
Senior Lecturer in Robotics and Computational intelligence
You’ll be assessed by exams, coursework assignments and a project dissertation.
1 year full-time
Our courses are informed by our research and our strong links with industry. This MSc is an ideal preparation for students aiming to move onto a PhD and research career, or those who want to work in industry with robotics and autonomous systems. The MSc covers the required technical knowledge and skills, along with wider professional skills such as critical thinking, project management and communication, for graduates to excel in their chosen career.
Minimum 2:1 honours degree in a numerate subject such as engineering mathematics or physical sciences.
To thrive in this degree you’ll need to have excellent mathematical notation and basic computer programming skills.
Overall IELTS score of 6.5 with a minimum of 6.0 in each component, or equivalent.
If you have any questions about entry requirements, please contact the department.
Fees and funding
You can apply for postgraduate study using our Postgraduate Online Application Form. It's a quick and easy process.
+44 114 222 5644
Any supervisors and research areas listed are indicative and may change before the start of the course.
Recognition of professional qualifications: from 1 January 2021, in order to have any UK professional qualifications recognised for work in an EU country across a number of regulated and other professions you need to apply to the host country for recognition. Read information from the UK government and the EU Regulated Professions Database.