AI and Machine Learning Pioneers

About
Curriculum and tutors
Outcomes and certification
Where you’ll stay
How to apply
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  • Start date: 10 to 23 August 2025
  • Duration: 2 weeks
  • Time commitment: Short programme
  • Age: 16-18 years old
  • Location: Oxford
  • Cost: £9,900

As AI and big data reshape industries and economies, the need for responsible, forward-thinking leaders has never been greater.

We are inviting ambitious students aged 16–18 to join a transformative summer school, led by world-class experts from the University of Oxford.

Delivered in partnership between Oxford Saïd and the Department of Economics at the University of Oxford.

A summer school like no other

This unique programme offers you the opportunity to:

  • Take on the role of an innovator in AI and data science
  • Tackle real-world challenges at the intersection of technology and society
  • Develop the skills and knowledge to lead in an AI-driven future
  • Get ready for an immersive learning experience and join a global community of future leaders shaping the next era of technological innovation.

Your ideas matter, and this is your platform to turn them into impactful solutions. Join us at Oxford University and begin an unforgettable journey.

Two transformative weeks at Oxford University

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Over the course of two weeks, you’ll explore the transformative power of AI and machine learning, guided by world-class academics and industry experts.

Collaboration, innovation, transformation

Engage in thought-provoking discussions, work on innovative projects and collaborate with like-minded peers from around the world. Together, you’ll explore the opportunities and challenges presented by AI and data science.

This is a unique opportunity to become part of a future-focused global network and take meaningful steps towards a career at the forefront of AI, data science and digital transformation.

Shape the future of AI and big data

We’re not just preparing you for the future; we’re equipping you with the tools to shape it.

You’ll develop essential skills in AI, machine learning and data-driven decision-making while critically examining their ethical and societal implications.

AI and machine learning are redefining the way we work, live and interact. The leaders of tomorrow must be prepared to navigate and influence this rapidly changing landscape.

Artificial intelligence and data science are not just shaping industries, they are shaping the very fabric of our society. We need a new generation of leaders who can harness their power responsibly and ethically.

Soumitra Dutta

Peter Moores Dean and Professor of Management, Saïd Business School, University of Oxford

Key themes

1 - The AI revolution

Explore how AI and data science are transforming industries, from healthcare and finance to sustainability and business. Understand the key technologies driving this revolution and their implications for society.

2 - Data science and machine learning

Learn how to collect, process and analyse large datasets. Gain hands-on experience with machine learning models and understand their real-world applications.

3 - The ethics of AI

Discuss critical topics such as algorithmic bias, privacy and AI governance. Explore how ethical considerations shape the development and deployment of AI technologies.

4 - Machine learning and decision-making

Discover how businesses, governments and researchers use data analytics to make informed decisions. Learn the fundamentals of econometrics, data modelling and predictive analytics.

5 - AI for social good

Investigate how AI and big data can be leveraged to tackle global challenges, from climate change to public health. Develop solutions that balance innovation with social responsibility.
 

Curriculum

We offer an experience like no other. Your time with us includes:

An intensive AI and machine learning curriculum

A rigorous academic curriculum focused on the transformative impact of AI, data science and machine learning on businesses, economies and society.

Experience Oxford traditions

Immerse yourself in life at one of the world’s most prestigious universities, experiencing its rich academic heritage and vibrant student life.

Networking and collaboration

Connect with a diverse group of peers from across the globe and build a network of future AI leaders and innovators.

Personal growth

Beyond academics, you’ll take part in social and cultural activities that enhance your confidence, teamwork and leadership skills.

Social events to build lasting friendships

Enjoy formal dinners in grand dining halls, interactive group challenges and themed social events, creating lifelong friendships and connections.

Your tutors

We are proud to bring together leading academics, industry experts and AI practitioners who are at the forefront of research and innovation in artificial intelligence and data science.

The programme is led by Dr Banu Demir-Pakel, Associate Professor of Economics, University of Oxford.

Outcomes and certification

The benefits of the AI and Machine Learning Pioneers summer school extend far beyond Oxford. This programme equips you with the skills, knowledge and confidence to thrive in a world increasingly shaped by AI and data-driven decision-making.

1. Practical application of theoretical knowledge

  • Apply cutting-edge AI and machine learning concepts to real-world challenges.
  • Gain experience in developing innovative data-driven solutions.

  • Learn how to translate academic insights into impactful actions.

     

2. Skill development for future innovators

  • Strengthen problem-solving skills essential for success in any industry.
  • Develop critical thinking and communication abilities for leadership.

  • Build attributes that will define the next generation of AI and data pioneers.

     

3. In-depth understanding of AI and data science

  • Explore the transformative potential of AI and data science in global industries.
  • Gain a comprehensive grasp of machine learning, econometrics and business analytics.

  • Develop solutions that address key ethical, economic and technological challenges.

     

4. Preparation for advanced studies and careers

  • Lay the groundwork for further academic pursuits in AI, data science and related fields.
  • Gain expert insights into university applications and career pathways.
  • Leverage your experience for future opportunities at the University of Oxford and beyond.

Certification

Upon successful completion of the programme, you will receive an official certificate from the University of Oxford, recognising your participation and achievement. This prestigious credential highlights your dedication, skills and readiness to excel in the evolving landscape of AI and machine learning.

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Where you’ll stay

You will experience life at St John’s, one of Oxford University’s historic colleges dating back as far as 1555.

Colleges are more than just a place to sleep, they are an integral part of your learning experience. You’ll be part of a vibrant international community, surrounded by centuries of academic tradition and intellectual curiosity.

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All Oxford colleges are within walking distance from Saïd Business School and the Department of Economics where most of your teaching will take place.

A safe and supportive environment

Oxford is a safe and welcoming city and you will be well looked after throughout your stay.

  • Secure accommodation - You will stay in a safe and secure college residence with 24/7 on-site security.
  • Dedicated support team - A fully trained team of staff will be available to ensure your well-being and answer any questions.

Dining and refreshments

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Throughout the summer school, you’ll enjoy a full catering service, with all meals and refreshments provided:

  • Three freshly prepared meals daily, catering to all dietary requirements.
  • Meals served at the Department of Economics, Saïd Business School, your Oxford college or other University venues.
  • Themed formal dinners and social events to enhance your Oxford experience.

Your stay in Oxford will not only be enriching academically but also socially and culturally, making it an unforgettable part of your summer school journey.

How to apply

Take the next step towards your future in AI

We are looking for bright, ambitious students aged 16–18 from around the world who are eager to explore the transformative power of AI and machine learning.

If you have a passion for innovation, problem-solving and the future of technology, we encourage you to apply.

Eligibility

  • Open to students aged 16–18 from all nationalities and backgrounds.
  • No prior coding experience required, but an interest in AI, data science and technology is recommended.
  • A strong curiosity for how AI is shaping industries and society.

Application process

Formal applications will be opening soon. Spaces are limited and applications will be reviewed on a rolling basis. We strongly recommend applying early to avoid disappointment.

Step 1 - register your interest

Complete the 'register your interest' form on this page so we can tell you when the application window opens.

Step 2 - application form

Fill out the online application form and tell us about your academic interests and aspirations. You will be asked:

  1. Why would you like to attend the summer school?
  2. What skills would you like to develop by being on the summer school?
  3. What do you think you can bring to the summer school?

You will also need information about your school and the name and contact details of a teacher who can provide a reference for you.

Step 3 - review process

Our team will assess applications on a rolling basis, so early submission is encouraged.

Step 4 - secure your place

Confirm your attendance by completing the registration and payment process.

Questions?

We are here to help so if you have any questions about the programme or the application process, please email us at YouthEducation@sbs.ox.ac.uk.

Join us for a transformative summer in Oxford and take your first steps towards shaping the future of AI.

Apply

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Saïd Business School also includes Oxford Saïd Business School Limited, a wholly owned subsidiary of the University of Oxford.
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