MSc Autonomous and Intelligent Systems


University of Sheffield    Department of Automatic Control & Systems Engineering

Full time September MSc 1 year full-time Award winner
Computer Science (8) Engineering (12)

FindAMasters summary

Are you fascinated by the world of robotics and artificial intelligence? Look no further than our MSc Autonomous and Intelligent Systems programme! Designed for those with a background in control engineering or related subjects, this one-year course will equip you with the knowledge and skills to excel in the field of automation and systems engineering. From studying artificial intelligence to working with autonomous agents, you'll explore the latest advancements in intelligent systems. With hands-on experience in our specialist labs and the opportunity to work on real-world industry projects, you'll graduate ready for exciting career opportunities as a software engineer, AI researcher or data scientist. Join us and be at the forefront of this rapidly growing field.

About the course

Become an expert in AI and autonomous and intelligent systems. As well as learning about autonomous and intelligent systems and artificial intelligence, on this course you’ll learn control systems, machine learning and multisensor data modelling.

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.

Read more about this course

Entry Requirements

Minimum 2:1 undergraduate honours degree in an engineering or mathematics subject. We may also consider science subjects with a significant amount of programming modules.

We may also consider your application if you have a considerable level of relevant professional experience in the Engineering Industry.


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Gular Rahkmetulla, MSc Advanced Control and Systems Engineering Gular Rahkmetulla, MSc Advanced Control and Systems Engineering 03/03/2022 12:05:51
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Daniel Oara, MSc Advanced Control and Systems Engineering. Daniel Oara, MSc Advanced Control and Systems Engineering. 03/03/2022 12:07:24
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Student Profile

Roisin Clear

Why did you choose to study your course?

My first degree was in Physics and Medical Physics, and I’d been working for three years. I wanted to change my career into engineering as I was looking for more practical and challenging work in a space or space-related field. When I was researching where to study, I learned that the University of Sheffield’s Department of Automatic Control and Systems Engineering has an excellent reputation for research and links with industry, so it was an easy choice for me.

What is your favourite part of studying in ACSE and the University of Sheffield?

Definitely the SunbYte project. I got involved in early October and thanks to my background in physics I was able to become a team leader for the optical subsystem of SunbYte III. I've got to know lots of fellow space enthusiasts and I'm visiting a NASA facility in July to integrate our SunbYte III payload with a weather balloon platform which will be launched in late August. It has been a lot of work but nothing worth doing is easy, and this has been a very positive experience overall.

What do you do outside of study?

Study and the SunbYte project takes up the majority of my time, however I have started bouldering at the University's climbing wall and was surprised to find that I wasn't as bad as I thought I was going to be, and I really enjoy it!

What is your favourite module?

I really liked the Embedded Systems / Rapid Control Prototyping module. As the name suggests, we got to learn about how we would create control system prototypes in industry, and then applied this to the control of a little twin rotor helicopter model. This meant that I was able to apply all of the theory I had learned in the previous semester to a physical system which really helped to solidify my knowledge, and it's always fun to see your maths and coding make something move.