MSc Robotics

The field of Robotics and Autonomous Systems (RAS) is becoming an integral part of society, industry and home life. It has attracted interest from a variety of sectors, including manufacturing, healthcare, aerospace, marine, and many more.

In addition to our PhD studentships and research opportunities, The University of Sheffield has an MSc in Robotics, delivered by the core departments of Automatic Control & Systems Engineering (ACSE), Psychology, Computer Science, and Electronic and Electrical Engineering, and led by ACSE.

The MSc Robotics will give you the opportunity to translate and develop your existing knowledge, understanding and skills to become an expert in robotics and autonomous systems (RAS). You will develop the multidisciplinary knowledge and interdisciplinary skills needed to become one of the next generation of RAS engineers. RAS is promising to deliver a step change in the way we live, work and interact on a day-to-day basis. In addition, large companies such as Google, Amazon and automotive and aerospace manufacturers are increasingly seeking to recruit in this area.

The course is taught by experts in control and systems engineering, computer science, electronic and electrical engineering, and psychology.

“Our new MSc 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 and Computational intelligence

 

MSc MSc

Who should take this course?

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

Our students will be looking to specialise in robotics and have the ambition to either pursue a research or industrial career in this area. Students with a broad background in engineering, mathematics and numerate science undergraduate degrees will develop the knowledge and skills necessary for a career in robotics.

The MSc is aimed at engineering, mathematics and numerate science graduates with a minimum 2.1 (or equivalent) degree from a recognised university or be an experienced professional who can demonstrate a commensurate background.

Where will it get you?

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.

What will you learn?

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. The course is taught over a 12 month period starting in September.

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 to focus on your own particular interests will then lead into your advanced project.

You will apply your detailed knowledge and understanding acquired in the taught modules, working on an industrial or research problem under the supervision of a member of academic staff. Depending on the specific nature of your project, you will further develop theoretical, experimental, computational and simulation skills. You will also develop professional and research skills to best prepare you to undertake this project and for future careers. You will be expected to demonstrate initiative, creativity, independence together with high levels of critical thinking and analysis during the project. These will further enhance your employability in a range of careers.

Full details can be found HERE.

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