|Location||United Kingdom, Sheffield|
|Type||Master courses, full-time|
|Nominal duration||1 year|
|Tuition fee||To be confirmed|
Undergraduate diploma (or higher)
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.
The entry qualification documents are accepted in the following languages: English.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
IELTS: 6.5 with a minimum of 6.0 in each component
At least 2 reference(s) must be provided.
These should be supplied and signed by academic staff at institutions where you have studied previously. They must be presented on the official letter-headed paper of the relevant institution. If you have been out of education for the last two years, you can send one academic reference plus one from your current employer if you wish.
We work with the biggest names in industry. Our courses are respected by employers all over the world. The MSc in Advanced Control and Systems Engineering is a really interesting course that touches on many subject areas such as artificial intelligence, robotics, process engineering and computer science. The course is a nice blend of theoretical, practical and lab work, and we were taught by experts in their chosen fields.
Our flagship course is a powerful blend of theory and practice, giving you a strong grounding for a career in industry or research.
This continually evolving course has been running for over 40 years and is well supported by the UK Engineering and Physical Sciences Research Council (EPSRC).
We work closely with partners such as Rolls-Royce and BAE Systems – Rolls-Royce has a permanent R&D centre here. Masters students often work alongside researchers at these facilities.
Core modules provide you with the basic skills a control and systems engineer needs. You’ll also take advanced modules in current areas of interest and complete a research-level dissertation project.
Foundations of Control Systems
State-space, Optimal Control and Nonlinear Systems
Signal Processing and Estimation
Embedded Systems and Hardware-in-the-loop Design
Robotics and Autonomous Systems
Advanced Industrial Control
Intelligent and Vision Systems
Multisensor and Decision Systems
Nonlinear and Hybrid Systems
You can use our award-winning take-home lab kits to explore core concepts at home. It supports our teaching, giving you the chance to learn by doing, when you want to, not just in classes. You’ll work on a major project of your own as part of your final assessment and there are chances to contribute to other projects throughout the course.
All the lectures and tutorials are for our systems and control students only, helping you to bond with your fellow students, so you can learn from each other.