Minimum 2:1 undergraduate honours degree in control engineering or a related subject.
We may also consider your application if you have a considerable level of relevant professional experience.
Months of entry
As the need and scope for robots, smart machines and real-time systems in society grows, so does the market for those trained in autonomous and intelligent systems.
The course covers all major aspects of these control and systems engineering with an emphasis on system autonomy and intelligence.
As you progress, you’ll develop an extensive understanding of artificial intelligence, machine learning, autonomous agents, real-time intelligent systems and intelligent control theory.
You’ll get hands-on experience working with various types of data, hardware and software and you’ll have the opportunity to build a system from scratch using the specialist labs in the University. You’ll be able to take optional modules, including a choice to work with companies to work on real opportunities and problems experienced by industry.
You will also work on a research-level dissertation project of your own where you’ll be able to pick an area you are passionate about and develop a solution to a real world problem in the area.
Accredited by the Engineering Council UK, Institution of Engineering and Technology and the Institute of Measurement and Control.
Please see our University website for the most up-to-date course information: https://www.sheffield.ac.uk/postgraduate/taught/courses
Information for international students
English language requirements
Overall IELTS score of 6.5 with a minimum of 6.0 in each component, or equivalent.
For more information about entry requirements for international students, please visit https://www.sheffield.ac.uk/international/applying/postgraduate-taught
Fees and funding
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Postgraduate Admissions Tutor
- +44 114 222 5644