Taught course


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

Our new MSc will provide you with the opportunity to translate and develop your existing knowledge, understanding and skills to become an expert in Robotics and Autonomous Systems (RAS). You will develop the multidisciplinary knowledge and interdisciplinary skills to become one of the next generation of RAS engineers.

The course is delivered by world-leading experts in Engineering and Science from several University departments, including Automatic Control and Systems Engineering, Computer Science, Electronic and Electrical Engineering, and Psychology.


You'll study a mixture of modules in robotics, autonomous systems, engineering and computational intelligence, as well as advanced topics in vision, speech, neural networks, mobile robotics and computational neuroscience.

Core modules:

  • Robotics
  • Biomechatronics
  • Robotics and Autonomous Systems
  • Hardware-in-the-Loop and Rapid Control Prototyping
  • Project

Examples of optional modules:

  • State Space Control Design
  • Real-Time Embedded Systems
  • Speech Processing
  • Adaptive Intelligence
  • Parallel Computing with Graphical Processing Units
  • Computational Neuroscience

Teaching and assessment

There are lectures, seminars, tutorials, practical/laboratory work, design classes, 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.

Qualification and course duration


full time
12 months

Course contact details

Postgraduate Admissions Tutor
+44 (0)114 222 5644