First course start
7 July 2026
Two-week programme.
AI and Computer Science Summer Camp in Oxford
A residential Oxford programme where students explore coding, artificial intelligence and practical technology projects alongside English-language development.

A residential Oxford programme where students explore coding, artificial intelligence and practical technology projects alongside English-language development.

Current status
Recently closed
Eligibility
High school students
Age range / Year group
13-17
Location / Region
Oxford, UK
Cost
£2,695 per week
Duration
2 weeks
Format
Residential
Class size: 12
Accommodation: On-site boarding
Meals: Three meals daily
Teaching time: 25 hours per week
Certificates: Capstone and Bucksmore
Bucksmore's Oxford Young Professionals programme combines computer science learning with AI-focused workshops, English-language development and a residential summer-school experience.
Students build Python and problem-solving skills, then apply them in a Unity-based capstone project developed with ComputerXplorers.
It suits teenagers who want a structured introduction to coding and AI alongside supervised campus life, activities and excursions.
Bucksmore's Young Professionals AI and Computer Science course is a residential technology summer programme at d'Overbroeck's in Oxford. It combines computer science teaching, coding workshops and AI-focused sessions with English-language development in an academic setting.
Students work through theory, practical sessions and industry-linked activities before completing a capstone project. Campus living, group challenges and cultural excursions make the experience broader than a classroom-only coding course.
The Unity capstone gives students a concrete project rather than a purely introductory survey of AI.
ComputerXplorers develops, delivers and assesses the capstone, adding specialist computing input.
A class size of 12 supports a more contained learning environment than a large summer lecture programme.
The residential model pairs technical study with organised activities, excursions and supervised Oxford campus life.
Students interested in coding or AI who want to test a technology pathway through practical project work and a residential UK summer experience.
You need an advanced specialist AI course, prefer independent online learning, or cannot commit to a full two-week residential programme.
This is a strong option for a student who learns best by making something: the capstone asks teams to plan, code and prototype an educational game, while the wider course develops Python, algorithms and communication. Its small class size and integrated residential experience add value for families seeking a supervised, all-inclusive summer school.
The main limitation is cost, and the programme is an introduction rather than a substitute for sustained computer science study. Students will benefit most if they use the portfolio and feedback as a starting point for deeper work after the course.
Effort level
Moderate to high.
Best started
A few weeks before the next cycle opens, allowing time for travel, documents and laptop preparation.
Main challenge
Completing a team coding project while adapting to an intensive two-week schedule.
Review basic Python concepts and practise reading simple code before arrival.
Bring a laptop that can access course materials and complete project work.
Prepare passport, school and parent or guardian details for the online application.
If travelling internationally, arrange entry documents early and allow time for travel planning.
Useful if
You enjoy hands-on problem-solving and working with peers.
Students alternate between subject theory, practical work, industry workshops, project sessions, activities and excursions. The course culminates in a collaborative Unity project built around a realistic educational-game brief.
Learn core coding, computer science and AI concepts through theory and practical sessions.
Practise Python, debugging, algorithms, data structures and problem-solving.
Take part in industry workshops, including computing-focused visits.
Plan an educational game with a small project team.
Create workflow documents, storyboards, a prototype and gameplay code in Unity.
Present the final project for assessment and receive project feedback.
Next cycle not announced yet. These dates are from the latest verified cycle and should be used as a reference only.
First course start
7 July 2026
Two-week programme.
Second course start
21 July 2026
Two-week programme.
| Milestone | Date | Timezone | Status | |
|---|---|---|---|---|
First course start | 7 July 2026 | Local | Reference date | Get next-cycle reminder |
Second course start | 21 July 2026 | Local | Reference date | Get next-cycle reminder |
Aged 13 to 17.
A high school student.
Intermediate B1 English level required.
Bring a laptop for course materials and assignments.
Programme fee
£2,695 per week — Fully inclusive weekly price.
Funding or discounts
What's included
Subject tuition and academic materials., Full boarding accommodation., Three meals daily and packed lunches on excursion days., Activities, excursions and attraction entry., Insurance and qualifying UK airport transfers.
Complete the online Bucksmore application form.
Provide the student's passport number and current school details.
Add parent or guardian information.
Pay the required reservation fee or full payment under the booking terms.
Request pre-enrolment documents if a visa support letter is needed.
The programme covers the following focus areas.
Python and computational thinking
Students write, read and debug code while practising algorithms and data structures.
AI and machine learning
Sessions introduce machine learning, game theory and intelligent systems in a practical context.
Unity game development
Students use Unity to design and code an educational-game prototype for a museum brief.
Team project and communication
Group challenges build collaboration, communication and project-design skills.
Curriculum may be adjusted based on participant interests and current developments.
A typical day during the programme.
Students eat on campus before lessons and activities.
Subject theory, practical sessions, industry workshops or excursions are scheduled.
Students work on the capstone, attend workshops or take part in excursions.
Supervised social activities include games, clubs and the graduation party.
Bucksmore selects teachers to reflect premium UK university and boarding-school educational experiences. The programme names Aizaz Niazi, a Computing graduate and British Computer Society member who researches artificial intelligence, among teachers students may meet.
The capstone is developed, delivered and assessed with ComputerXplorers.
Day-student attendance is available; parents or guardians arrange daily arrival before the first lesson.
After completing this programme, participants often pursue:
Build a portfolio showing technical ability and creative problem-solving.
Gain a ComputerXplorers certificate of completion.
Receive a written assessment of the capstone project.
Use Python, algorithms and AI experience to inform future subject choices.
Explore technology careers through industry workshops and talks.
The course offers preparation and evidence of learning, not a university qualification.
The programme is based at d'Overbroeck's, an independent school close to Oxford city centre. Teaching takes place in the modern Sixth Form building, while nearby boarding houses support the residential experience.
Qualifying airport transfers are included under the published course terms.
These programmes offer different ways to explore computer science, coding or AI, depending on whether you want an in-person course or online study.
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Co-founder, Succeed | Founder, Immerse Education (2012–2026)
Sean works at the intersection of academic enrichment, programme quality and university preparation, with expertise in evaluating pre-university experiences for ambitious secondary school students.
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We use source material to verify core facts, then show older cycle dates as reference when a current cycle is not available. Always check current application instructions before applying.