Taught course

Computational Intelligence and Robotics

University of Sheffield · Department of Automatic Control and Systems Engineering

Entry requirements

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.

Months of entry


Course content

About the course

From understanding the brain to sophisticated robots for search and rescue, advances in this field are having a huge impact on our lives. This course prepares you for a career at the forefront of the discipline, in research or industry.

The course is taught by experts in control and systems engineering, computer science, electronic and electrical engineering and neuroscience. It’s supported by SCENTRO, the Sheffield Centre for Robotics.

Give yourself an edge

Our world-leading research and our partnerships with industry give you an advantage in a competitive careers market. You’ll learn about the very latest developments in systems, control, computational intelligence and robotics – effectively preparing you for a future in engineering.

Push yourself further

We have cutting edge facilities and technology, including: advanced control
and systems software, modelling, simulation and controller design tools, robotics and a flexible manufacturing systems laboratory, evolutionary computing laboratory and clean facilities for the assembly of satellite instrumentation.

Make your mark

You could pursue a career with a large international organisation or government department. Our graduates work in sectors such as manufacturing, power generation and sustainable energy, with companies including British Airways, Jaguar Land Rover, NASA, IBM, Rolls-Royce and Unilever.

A masters from Sheffield is the mark of someone with the skills to apply their knowledge in industry, anywhere in the world. Our MSc in Advanced Control and Systems Engineering is accredited by the Engineering Council UK, IET and InstMC. These marks of assurance mean our degrees meet the high standards set by the engineering profession.

A Sheffield masters is a strong foundation for a career in industry or research.

Industry links

We have strong links with industrial partners such as Rolls-Royce and BAE Systems. Our industrial partners help us to design our courses, making sure you learn the right skills.

Rolls-Royce has a research and development centre here, using our expertise to explore today’s challenges. Our masters students often work side by side with researchers at these facilities.

A stimulating environment

The 2014 Research Excellence Framework (REF) rates us No 1 in the UK for research output, ahead of Oxford and Cambridge, and No 3 for overall research excellence. Our world-class reputation attracts highly motivated staff and students.

You’ll be taught by staff who work on real-world projects, developing new ideas – for submarines, robots, Formula One and even space exploration. Their approach to teaching is just as innovative: ideas like the award-winning take-home lab kit and e-puck mobile robotics activities help you develop the problem-solving skills you need for a trailblazing career.

Core modules

You’ll study a mixture of modules in computational neuroscience, machine learning, neural networks, modelling and simulation of natural systems, multi sensor data fusion, adaptive intelligence and robotics.

Teaching and assessment

There are lectures, seminars, tutorials, individual assignments and a major research project. You’re assessed on exams, coursework assignments and a project dissertation.

Information for international students

Overall IELTS grade of 6.5 with a minimum of 6.0 in each component, or equivalent.

Fees and funding

UK students
International students

There are various different sources of funding that can help you with your postgraduate studies:

Funding your taught postgraduate studies

If you are an international student, you can find out about the scholarships available to you. This information is provided by our International Office:

Scholarship information for international students

Qualification and course duration


full time
12 months

Course contact details

Postgraduate Admissions Tutor
+44 (0)114 222 5644