Computer Science

Year 9 Royal Institution Computer Science Masterclasses

Target Audience: year 9 students that are able and interested in computer science.

Format: 7 Saturday mornings, approximately fortnightly, over the spring and first half of summer terms.

Aim: to encourage, inspire and engage students in exploring computer science.

How to get involved: teachers are invited to nominate students in the autumn term of year 9.

Capacity: 16


Ri Computer Science Masterclasses are a series of workshops which are led by experts from industry, academia and education. They offer students in-depth investigations of topics in Computer Science, combining theory with interactive exploration. We will open their eyes to the world of Computer Science and hope to inspire them to continue their engagement with the subject.

How it works

A series of six Saturday morning Royal Institution (Ri) Computer Science Masterclasses for year 9 students in the spring term.

The year 9 students nominated should be interested and enthusiastic about mathematics, engineering and science as well as being judged to have potential and interest in the classes. We aim to challenge students who are well-motivated and curious about Computer Science.

How to join

Teachers are invited to nominate students towards the end of the autumn term 2019 – please get in touch if you would like to make sure you receive the details:

All workshops run on Saturdays from 0930 to 1200 on the following dates:

11th January 25th January 8th February
29th February 7th March 21st March

Should we have enough interest, we intend to repeat the masterclasses in the afternoons of the dates shown above, from 1300 to 1530

Computational Thinking

Target Audience: for year 10 students from Cornwall, Devon, Dorset and Somerset with an enthusiasm for STEM subjects; little experience and no former interest in Computer Science.

Format: 4 workshops held at EMS from 1600 to 1730, spread over the spring term.

Aim: to enhance the ability to communicate problems and their solutions with the aid of computational thinking tools, such as pattern recognition and algorithm design.

How to get involved: further details will be posted here soon.

Capacity: 16

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