Guide to studying Robotics
Embedded intelligence is now in products ranging from cars to domestic appliances. Robotics isn't the future, it's the now.
- What do graduates earn?
Robotics is a branch of mechanical engineering, electrical engineering, electronic engineering and computer science.
It deals with the design, construction, operation, and application of robots, as well as computer systems for their control, sensory feedback and information processing.
There are plenty of areas to specialise in. Intelligent systems range from independent vehicles in aerospace and robots in sub-sea exploration, to consumer products and the creative arts.
Industry forecasters predict massive growth and estimate the service robotics market to increase to an annual $66 billion by 2025. There's money to be made if you know what you're doing.
Read our six reasons to study Robotics for more information on why you might choose this subject area.
Robotics degrees teach transferable skills, such as presentation, research and communication, as well as detailed skills in programming as well as physical engineering, which are equally important.
Particular job areas include technical robotics, computer programming, sales and marketing, software engineering, clinical and laboratory research, and applied process engineering.
Numerous companies offer graduate schemes in this subject, such as Bosch.
The infographic below shows the average salaries of undergraduate Robotics students entering employment. The three skill levels – high, medium and low – reflect the UK's Standard Occupational Classification's major groups 1–3, 4–6 and 7–9 respectively.
Source: HESA Graduate Outcomes Survey 2017/18
Entry requirements depend on the university and course and are subject to change.
- BEng Mechatronics and Robotic Systems
- BSc Artificial Intelligence
- BEng Robotics
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- Robotics course chooser
Courses are assessed via a variety of ways, through a mixture of exams and coursework. The best and most rewarding courses place a strong emphasis on a hands-on approach and teach with a mix of lab sessions, lectures, tutorials and projects.
Examples of taught MAs and research degrees at postgraduate level include straight MAs in Robotics, as well as master's courses in Artificial Intelligence, Automation Control, Computational Intelligence, Cognitive Robotics and Intelligent Systems.