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Online
13-18
years old

Computer Science

online insights
1, 2 or 3 weeks • Winter, Spring & Summer - 2022-2023
The Online Insights course transforms the highlights of our programmes in Oxford and Cambridge University onto an easy-to-use virtual platform.
Small group classes taught by expert tutors
Enrol now
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Gain expert insights in an online summer school in Computer Science

Our Computer Science Online Insights course is designed for students who are passionate about technology and programming but do not have any significant former academic understanding of the discipline.

Our expert tutors will teach you the fundamental theories, and explore how these are applied to fascinating fields such as Blockchain, Machine Learning, and Deep Learning.

Overview
Academic

About Online Insights

Over the two-week programme, participants will take part in virtual seminars, future skills workshops, one-to-one tutorials, as well as group social activities led by current Oxbridge undergraduates.

Students receive a combination of subject-based tuition, one-to-one tutorials, future skills workshops and social activities with students from around the world.

  • Average Class Size Of 5

    Maximum 10 students
  • 1:1 Tutorials

    2 x 30-minute sessions each week
  • Oxbridge Academics

    Tutors from Oxford and Cambridge University
  • Future Skills Workshops

    Develop key attributes such as personal branding, interview skills and academic writing

For students of all time zones

As there are participants joining from around the globe, Online Insights offers two “streams” – Stream A and Stream B.

Stream A starts in the morning whilst Stream B’s classes take place in the afternoon.

Note – as our faculty are all based in Oxford & Cambridge, all times communicated are in UK time.

To see how the Online Insights programme is structured, please view the timetable.

  • Stream A

    09:00 - 15:00 (UK time)
  • Stream B

    14:00 - 20:00 (UK time)
Reviews
Testimonials
"

I studied Computer Science in this course, specifically Cryptocurrency and Artificial Intelligence. My tutor was an excellent tutor and one of the best teachers I have ever had. Though the topic of blockchain is very complex, he explained these concepts to me very clearly such that I was able to digest large amounts of knowledge easily. The use of diagrams to explain concepts helped me understand them much more easily and always gave constructive feedback when I needed them.

Max C
Attended Immerse in 2020
Oxbridge Online Research Programme (Computer Science) Student
5/5

Network with like-minded individuals

Daily social activities with participants around the world

Students can connect with like-minded individuals from around the world, and are encouraged to socialise and make friends through daily activities and games after classes finish.

Activities include virtual college tours, murder mystery parties and a ‘University Challenge’-style quiz.

These sessions are led by Oxbridge undergraduates who act as Mentors for Online Insights participants. This is a fantastic opportunity for participants to hear from students at Oxford and Cambridge University, and receive guidance and advice on studying at one of the world’s top universities.

Network with like-minded individuals

Activities

Online Learning Platform

Startup Stock Photos

Virtual Classrooms

All sessions are delivered on Zoom’s education platform – the world’s leading virtual classroom software.

Before the course begins, all students will receive a welcome pack that includes information about their tutors, mentors, guest speakers, as well as their programme overview.

Students will also receive an interactive timetable with links to each of their classes.

Platform

Sample Computer Science Modules

To see how the Online Insights programme is structured, please view the timetable.
  • Module 1 - Programming with Python

    Python is a very popular object-orientation programming language that continues to be extensively used in academia and industry. You will discover Python, tackle programming tasks, and be shown how to think programmatically, by breaking down problems so that you can tackle them with Python.
  • Module 2 - Object Oriented Programming

    OOP expresses components as objects, packaging what you need to know about a component in a self-contained unit of code, which has its own functionality and state. You will build layers of these objects to create more powerful representations, whilst simultaneously simplifying and promoting the reuse of code.
  • Module 3 - Databases and Big Data

    It is estimated that we produce 2.5 quintillion bytes of data per day, or two and a half thousand million gigabytes. How do we make sense of it? How can we leverage it to our advantage, and how can we manage it? In this topic you will learn relational databases, a powerful tool that is used almost everywhere in computer science to efficiently store data.
  • Module 4 - Personal Project

    After presenting your work and findings throughout the computer science programme, you are given the chance to be critically evaluated by your peers and tutor. This helps to solidify the theoretical and practical knowledge learnt throughout the two-week summer school.
Want to learn more?
Download Syllabus Overview
Want to learn more?
Download Syllabus Overview
Modules
  • 19th December – 23 December 2022 (Winter)

    £1,495
  • 19th December – 23 December 2022 (Winter)

    £1,495
  • 19th December – 30 December 2022 (Winter)

    £2,495
  • 19th December – 30 December 2022 (Winter)

    £2,495
  • 19th December 2022 – 6th January 2023 (Winter)

    £3,295
  • 19th December 2022 – 6th January 2023 (Winter)

    £3,295
  • 26th December – 30th December 2022 (Winter)

    £1,495
  • 26th December – 30th December 2022 (Winter)

    £1,495
  • 26th December – 6th January 2023 (Winter)

    £2,495
  • 26th December – 6th January 2023 (Winter)

    £2,495
  • 26th December – 13th January 2023 (Winter)

    £3,295
  • 26th December – 13th January 2023 (Winter)

    £3,295
  • 2nd January – 6 January 2023 (Winter)

    £1,495
  • 2nd January – 6 January 2023 (Winter)

    £1,495
  • 2nd January – 13th January 2023 (Winter)

    £2,495
  • 2nd January – 13th January 2023 (Winter)

    £2,495
  • 2nd January – 20th January 2023 (Winter)

    £3,295
  • 2nd January – 20th January 2023 (Winter)

    £3,295
  • 3 April – 7 April 2023 (Spring)

    £1,495
  • 3 April – 7 April 2023 (Spring)

    £1,495
  • 10 April – 14 April 2023 (Spring

    £1,495
  • 10 April – 14 April 2023 (Spring)

    £1,495
  • 3 July – 14 July 2023 (Summer)

    £2,495
  • 3 July – 14 July 2023 (Summer)

    £2,495
  • 17 July – 28 July 2023 (Summer)

    £2,495
  • 17 July – 28 July 2023 (Summer)

    £2,495
  • 31 July – 11 August 2023 (Summer)

    £2,495
  • 31 July – 11 August 2023 (Summer)

    £2,495
  • 14 August – 25 August 2023 (Summer)

    £2,495
  • 14 August – 25 August 2023 (Summer)

    £2,495
20+ hours of academic contact time per week
Subject tuition delivered by an academic from Oxford or Cambridge University
Average class size of 5 (maximum 10)
2 x 30 minute 1:1 tutorials
Academic skills workshops
End-of-day social activities led by Mentors (Oxbridge undergraduates)
Detailed personal evaluation written by tutor
Certificate of attendance
Free premium membership to UniPrepare's 'Nurture' plan

Computer Science

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