Creative Robotics

Course summary
The BSc Creative Robotics course is an exciting mix of robotics and creative practice set in the context of a world-renowned creative university. The course combines machine learning, physical computing and robotics with a strong emphasis on creative applications and critical perspectives on ethics and impact of robotics in society.
You will acquire a contemporary set of applied robotic skills. These include robotics coding using languages such as Python, C++, and dominant robotic industry open development frameworks such as ROS, MoveIt and Unity.
Furthermore, you will challenge accepted norms around the role robots play in our everyday lives. You will learn to design and build creative robotics including constructing machines that make music and art. You will learn how to use mechanics, electronics and computing intelligence to build a variety of robots such as soft robotics, non-humanoid, humanoid and evolutionary robots. You will explore how critical theory, philosophy, neuroscience and cognitive science have influenced the design of a robot’s body and mind in tandem.
What to expect
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Learn robotics and electronics skills sought after in industry: Creative roboticists are highly sought after due to their ability to translate creative direction into robotic design.
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Critical engagement with technology: Engagement with creative robotics practice and critical theory, will build your ability to self-reflect and think critically about your role in shaping the world.
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A material understanding of robotic technologies: Develop an appreciation of robotics in both a technical and cultural sense. This will enable you to challenge dominant ways of deploying robotics and explore cultural biases.
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Interdisciplinary teaching: You’ll be exposed to different modes of learning and develop a solid understanding of robotics technologies through a creative lens.
Industry experience and opportunities
You will benefit from a wide range of industry talks and the opportunity to meet industry representatives throughout your studies.
Furthermore, you have the opportunity to undertake the optional year in industry details of which will be provided in the second year of study.
How to apply
Application codes
- Course code:
- H671
- Institution code:
- U65
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Historical entry grades data BETA
This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
- Data from:
- This course and 6 other computing courses
- Date range:
- 2022-2024
Grades held by accepted students
- AAA
- Highest grades
- DDE
- Lowest grades
Offer rate for UK school & college leavers
Students aged 17/18 who applied to this course were offered a place.
How do you compare?
See how students with your grades have been accepted onto this course in the past.
Fees and funding
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