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)

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.


 Course Content

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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

Graduated in 2019

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.

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