The Department of Automatic Control & Systems EngineeringThe Department was established in 1968 in response to the growing importance of Automatic Control and Systems Engineering to all branches of industry world-wide. We have since grown to become the largest Control and Systems Engineering Department in Europe.

“Our new MSc in Robotics will provide you with the essential knowledge, understanding and skills that are needed for designing, implementing and deploying the robotics and autonomous systems (RAS) of the future. You will be inspired to think differently and create innovative solutions with the potential to change our lives.”

Dr Roderich Gross, Senior Lecturer in Robotics in the Department of Automatic Control and Systems Engineering

Contact The Department of Automatic Control & Systems EngineeringThe University of SheffieldMappin StreetSheffield, S1 3JDUnited Kingdom

W: sheffield.ac.uk/acseT: +44 (0) 114 222 5250E: pgtacse@sheffield.ac.uk

The content of our course is reviewed annually to make sure it’s up-to-date and relevant. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. While every effort has been made to ensure the accuracy of the information in this publication, for the reasons detailed above, changes may need to be made to modules, courses, entry requirements and fees between the date of this publication and the start of your course. This publication is correct as at the time of print, but please see www.sheffield.ac.uk/acse for the most up-to-date information about this course. If there is any inconsistency between this publication and www.sheffield.ac.uk/acse, the information on our website should be taken as correct.

MSc ROBOTICSwww.sheffield.ac.uk/acse

Our growth has been due to the increasing demand for education in the area and the effects of rapid changes in engineering, computing and technology.

MSc Robotics The University of Sheffield

Course Structure

Careers and Further Study

Our new MSc in Robotics moves beyond traditional approaches to robotics. It enters a new phase of autonomous robotics and systems (RAS) that requires advanced knowledge, understanding and skills and an interdisciplinary perspective.

RAS is promising to deliver a step change in the way we live, work and interact on a day-to-day basis in this new era dominated by information and intensive data exchanges. For instance, governments across the globe are encouraging industries to focus on the long awaited fourth industrial revolution, the so-called Industrie 4.0, where cyber-physical systems, including RAS, the ‘internet of things’ and cloud computing will play a significant role. The challenge then will be to translate academic research and training in RAS into applications that will satisfy the required criteria for such a revolution. These applications will be multidisciplinary and will impact on manufacturing, defence, healthcare, finance, and the service industries.

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

The course will be delivered by world-leading experts in Engineering and Science drawn from several University of Sheffield Departments, including the Departments of Automatic Control & Systems Engineering (leading department), Computer Science, Electronic and Electrical Engineering and Psychology.

The breadth and depth of the MSc will represent the ideal preparations for both students aiming to move onto a PhD and research career or those aiming to move into the growing number of industrial opportunities in RAS.

The MSc will cover the technical knowledge, understanding and skills together with wider professional skills such as critical thinking, independence, initiative, reflection, project management and communication in order for graduates to excel in their chosen career.

Who should take this course?

Key Facts

You will be looking to specialise in robotics and be passionate about the potential for robotics and autonomous systems to transform the way we live. You will have the ambition to become a research or industrial leader - helping to ensure the RAS sector meets its potential.

Students with a broad background in engineering, mathematics and numerate science will thrive on this course and be able to develop the necessary knowledge and skills required for a career in robotics.

Students will undertake a broad spectrum of modules related to robotics: autonomous systems, engineering and computational intelligence, including underpinning modules in robotics, as well as advanced topics in vision, speech, neural networks, mobile robotics and computational neuroscience.

During the course you will develop a broad knowledge and understanding across the key pillars of RAS; sensing and perception, cognition and autonomy, control (action), and robotic devices. You will take four core modules covering key aspects of the subject area. You will also be able to specialise in depth in one or more aspects of RAS, taking modules to allow you to develop an advanced knowledge and understanding in areas of your choice. This range of choice allows you to focus on your own particular interests which will then lead into your advanced project.

Duration: 12 months

Entry requirements: 1st or

upper 2nd class honours degree

(or equivalent).

Alternatively you might be

an experienced professional,

thinking about updating your

knowledge of the subject.

Language requirements: IELTS

6.5 (6 in each competency)

Fees: UK/EU: £10,970

International Students: £20,470

How to Apply: See

www.sheffield.ac.uk/acse/masters/apply

Email: pgtacse@sheffield.ac.uk

MSc Robotics The University of Sheffield

What will you learn?

How do we teach?You will be taught and assessed through a variety of methods, including; lectures and seminars, practical and laboratory classes, tutorials and problem-solving, coursework assignments (which can be individual or connected exercises) and design classes.