MSc Robotics

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

Taught in collaboration with the Department of Journalism, this course will help you to develop the skills to communicate science effectively to a wide range of audiences.

Through practical training, you’ll learn how to inform, educate and entertain people without the same specialist knowledge, covering the latest topics in science that interest you. Training sessions can cover writing skills, how to record and edit packages for film and television, social media, and event management. Regular small group workshops give you the time to debate and discuss topics, and practice key communication skills.

Throughout your course you’ll produce a portfolio of high quality science communication work, spanning science journalism, public engagement activities, and event organisation. This can give you a range of project and practical experience to include on your CV, as you consider the relationship between science, the media, and the wider public, and the role that science communication plays in society.

Your final project dissertation can be based around a print, broadcast or digital portfolio, an event you've organised or a work placement you've completed. This can be customisable to your interests and cover any STEM subject you’re passionate about. Previous students have based their dissertation around work they've completed at organisations ranging from National Geographic to the CERN research institute in Switzerland.

Example research projects include:

Teaching is led by expert scientists who have lots of experience of sharing their work with the public, and professional journalists with backgrounds in print, broadcast and online journalism, from Fleet Street to the BBC.

You'll be able to gain first-hand insights from industry professionals through our course seminar series – past speakers have included staff from national newspapers, film production companies, and the BBC. You'll also meet regularly with your designated personal tutor and your project dissertation supervisor.

At Sheffield we have a long track record of delivering excellent science communication and outreach work to a huge variety of audiences. Projects have included local and national festivals, schools activities and media work, giving you plenty of opportunities to get involved and put your skills into practice alongside your studies.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Data Modelling and Machine Intelligence
  • Foundations of Robotics
  • Mechatronics for Robotics
  • Manipulator Robotics
  • Machine Vision
  • Mobile Robotics and Autonomous Systems
  • Multisensor and Decision Systems
  • Robotics Project and Dissertation
  • Deep Learning
  • Industrial Training Programme (ITP) in Computational Intelligence
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Sep 2025
    Sep 2026
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    2 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs