BSc Robotics

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Comments about BSc Robotics - At the institution - Bristol City - Bristol

  • Objectives
    Robots are no longer just science fiction. They are already on sale as toys (such as Lego Mindstorms) and as domestic appliances (such as the Dyson DC06 robot vacuum cleaner). And this is just the beginning. The World Robotics report produced by the United Nations Economic Commission for Europe predicts massive growth in the robot industry over the next decade. This means lots of jobs for people to design, market and regulate this burgeoning sector of the economy. This new degree aims to prepare people for these roles. Whilst there are a few other degrees in the UK that teach some robotics, none is geared to producing the fully-rounded professionals who will be essential if Britain is to compete with the US and Japan in the up and coming robotic economy.
  • Entry requirements
    Entry Requirements GCSE: Maths and English or equivalent required. Tariff points range: 220-300 Specific subjects: None specified Relevant subjects: Any Science or Technology subject Access: Yes Baccalaureate EB %: 66-70
  • Academic title
    BSc Robotics
  • Course description

    Year 1

    In Year 1 you will study Introduction to Robotics, Digital Design and Instrumentation, Programming in C, and Digital Systems Development, Introduction to Artificial Intelligence and Practical Electronics.

    Year 2

    In Year 2 you will gain more in-depth understanding of Robotics as a subject, and will work with fellow students in a group robotics project. You will also study Mechatronics and Machine Vision as well as Introduction to Communication Systems and Signals, and Embedded Microprocessor-based Systems. You will also work as part of a larger Robotics Group Project.

    Final year

    A significant part of the final year is taken up with an individual project. Final year modules include Advanced Robotics, Professional, Legal and Commercial Issues as well as a larger Individual Project and several option modules including Machine Learning, Digital Signal Processing and Digital Signal Processing.

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