Artificial Intelligence & Computer Science

Aged 14–18

For Ambitious Scholars

2-15 August

2027

£6,499

OSP Experience Fee

100

Exceptional Global Scholars

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Join OSP's Artificial Intelligence Summer
School in Oxford

You start with your first lines of Python. Nine days later you’ve built an AI model that can recognise an image or hold a conversation – and you can explain exactly how it learned to do it.

Key Features

  • Built on WEF 2030 Skills
  • Project-based learning
  • Official transcripts
  • Letter of recommendation
  • Earn 8 UCAS points
https://ospscholars.com/wp-content/uploads/2026/06/WEF-768x474.png

WEF Employment Skills

  • Analytical Thinking
  • Empathy and Active Listening
  • Resilience, Flexibility and Agility

Designed around the core skills identified by the World Economic Forum as essential for 2030.

Oxford AI Summer School Students
Small class sizes
Project report and presentations
The Programme

Fourteen days. Thinking globally. Leading confidently.

Study alongside ambitious students from around the world, learn from expert tutors, and build your own AI model from scratch while strengthening your university profile.

AI Workshop Oxford Summer School

Start from first principles

Build real fluency in Python, algorithms, data structures, and object-oriented programming.

AI Workshop Oxford Summer School

Train real models

Move from machine learning to neural networks, computer vision, and natural language processing, building working models at each step.

Artificial Intelligence Workshop Oxford Summer School

Build something that works

Take a project from a problem and dataset to a deployed, functioning AI model, and reckon honestly with the ethics around it.

The Course Plan

Your two weeks,
day by day.

Each morning introduces the concepts; each afternoon you turn them into working code throughout the AI Summer School, stacking skills until you can build and train a model of your own

AI Summer School OSP Scholars

Computer Science Foundations

Algorithms and data structures, and your first steps in Python.

Python Programming

Data types, variables, loops, and solving real algorithm challenges.

Object-Oriented Programming

Classes, objects, and structured problem-solving through a build.

Data Analysis with Python

Cleaning, exploring, and visualising real-world datasets.

Networking & Web Development

How the internet works, and building a simple app with Flask.

AI & Machine Learning

Supervised and unsupervised learning, and your first trained model.

Neural Networks & Computer Vision

Deep learning with Keras and image processing with OpenCV.

Natural Language Processing & AI Ethics

Building a chatbot, and confronting bias, fairness, and privacy.

AI in Action & Final Presentations

Real-world applications, then your team presents what it built.

“This experience was absolutely incredible. The beautiful campus, engaging lectures, and remarkable activities helped me form lasting friendships.”

Cristina Solis Lopez – Colombia
The OSP Challenge

Theory into practice

Collaborate with peers to build something real. Think logically, experiment freely, and apply everything the course gives you.

Students at AI Workshop Oxford Summer School
Collaborative Build

Group AI Project

Your team chooses a problem and a dataset, then builds, trains, and evaluates a working AI model, from research question through to results and real-world applications.

AI Summer School Oxford
Independent Reflection

Individual Report

Document your own contribution to the project: the decisions you made, the challenges you hit, the solutions you found, and what you learned about building AI

Career Exploration

Top Up With Career Exploration

At OSP, we transform ambition into action and potential into purpose. We bridge academic excellence with personal growth, cultivating ethical leaders who go on to shape the world tomorrow with clarity, confidence, and integrity

Institution of Mechanical Engineering Oxford Summer School
Where This Leads

A first step toward a serious path

Software Engineering and Development

Software Engineering & Development

Building the applications, systems, and platforms the world runs on.

Machine Learning & AI Research

Machine Learning & AI Research

Designing the models and methods at the frontier of the field.

Data Science & Analytics

Data Science & Analytics

Turning raw data into insight that drives real decisions.

Tech Entrepreneurship & Product

Tech Entrepreneurship & Product

Founding, building, and shipping products powered by technology.

OSP Tutors

Taught by academics & practitioners

Dr. Cristiana Tisca

AI & Programming

Post-Doctoral Researcher in Neuroimaging at the Wellcome Centre for Integrative Neuroimaging, University of Oxford

Dr. Waqas Kamal

Engineering

Research Fellow at University of Oxford DPhil in Engineering Science

Dr. Nick Dickinson

Politics

Bingham Fellow in Constitutional Studies, University of Oxford

Juliana Choi

Medicine

DPhil Physiology, Anatomy and Genetics University of Oxford

Dr. Daryna Dvornichenko

Law

British Academy Researcher At Risk and Visiting Research Fellow at Department of Politics and International Relations, University of Oxford

Abbey Palmer

English

MSc in Applied Linguistics and Second Language Acquisition, University of Oxford

Beyond The Classroom

Oxford is the stage, not the point

Each summer a select group from around the world comes together in Oxford to learn, grow, and find out who they could become.

Why OSP?

Study in an academically rigorous summer programme alongside ambitious students from around the world.

01

Study in an academically rigorous summer programme alongside ambitious students from around the world.

02

The Oxford Scholars Programme offers the NCFE Level 3 Award in Higher Studies, giving 8 UCAS points and adding weightage to your university application.

03

Strengthen your university profile, experience campus life, and build an international network of future leaders.
FAQs

Frequently Asked Questions

What is the Oxford Artificial Intelligence & Computer Science Summer School at OSP?

The Oxford Artificial Intelligence & Computer Science Summer School at OSP is a two-week immersive course designed for high school students aged 14–18 interested in coding, computer science, and AI. Scholars learn Python, algorithms, and data structures, then build real machine learning, computer vision, and natural language processing models through hands-on projects.

Yes. The pre-university AI and computer science course at OSP gives high school students the chance to learn programming and build real AI models in a university setting. The summer school offers an introduction to the subject, practical coding experience, and a real understanding of how modern AI works.

No prior coding experience is required. The course starts with the fundamentals of Python and builds up step by step, so complete beginners and students with some experience can both take part and progress. The curriculum equips all Scholars with the tools they need to build a working AI model by the end.

Scholars work in small teams to build a real AI model. They choose a problem and a dataset, prepare the data, train and evaluate the model, and present their results — mirroring how AI is actually developed, from research question through to real-world application.

It is open to students aged 14–18 who are curious about technology, coding, and artificial intelligence. Whether you are considering computer science, AI, data science, engineering, or a related field, this programme provides a comprehensive introduction to programming and AI.

The course strengthens applications by demonstrating genuine commitment to studying computer science or AI. It provides practical experience in programming, model-building, and AI ethics, showcasing intellectual curiosity and readiness for university-level study. Scholars also receive letters of recommendation from Oxford tutors, adding academic credibility to their applications.

The course builds skills in programming, problem-solving, data analysis, and AI development — among the most in-demand skills across technology, research, and business. By building and presenting a real AI model, Scholars gain practical experience that supports a wide range of future career paths.

To apply, visit the application page and complete the online application form. Submit all required documents, including academic transcripts and a personal statement. After reviewing applications, successful candidates will be notified with further details about their acceptance.

The total cost includes tuition, accommodation, meals, and all excursions and activities. Scholarships and financial aid options are available to support students from diverse financial backgrounds. Please check our fee page for detailed pricing information and funding options.

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