8 Best Artificial Intelligence Programs for High School Students in the UK
- Stephen Turban
- 10 hours ago
- 6 min read
If you’re a high school student thinking seriously about artificial intelligence, there’s no better time to get started than now. AI programs offer a rare chance to move beyond surface-level exposure and actually begin learning how intelligent systems are designed, trained, and deployed in the real world. Through structured coursework, lab work, and mentorship, these programs enable you to explore topics such as machine learning, neural networks, natural language processing, and algorithmic ethics.
Which AI programs are available to high school students in the UK?
The UK is an especially strong place to explore these interests. With world-renowned universities and growing investment in AI research and development, students here benefit from access to instructors, resources, and facilities that are difficult to match elsewhere. Many programs are hosted on university campuses and mirror the intensity and rigor of college-level courses. If you’re living in the UK or are able to travel for the summer, these programs offer a structured, high-impact way to engage with one of the most influential fields of the 21st century.
To help you get started, here are 13 artificial intelligence programs for high school students in the UK.
Location: Remote , you can participate in this program from anywhere in the world!
Cost: Varies depending on program type; full financial aid available
Dates: Varies by cohort: summer, fall, winter, or spring. Options range from 12 weeks to 1 year
Application Deadline: Varying deadlines based on cohort
Eligibility: You must be currently enrolled in high school and demonstrate a high level of academic achievement
The Lumiere Research Scholar Program is a rigorous research program tailored for high school students. The program offers extensive 1-on-1 research opportunities for high school students across a broad range of subject areas that you can explore as a high schooler. The program pairs high school students with Ph.D. mentors to work 1-on-1 on an independent research project. At the end of the 12-week program, you’ll have developed an independent research paper! You can choose research topics from subjects such as psychology, physics, economics, data science, computer science, engineering, chemistry, international relations, and more. You can find more details about the application here, and check out students’ reviews of the program here and here.
Location: Oxford, Cambridge, Singapore, Sydney, Toronto, and Boston
Cost: Varies; financial aid available
Dates: 2 weeks during the summer
Application Deadline: Multiple summer cohorts; rolling admissions.
Eligibility: Students aged 13-18 currently enrolled in middle or high school
The Academic Insights Program lets high school students experience university life firsthand. You will live on campus and study in small groups of 7-10, and learn from tutors from eminent top universities like Oxford and Cambridge. Participants can explore a wide range of subjects, spanning over 20 options, including Architecture, AI, Business Management, Computer Science, Economics, Medicine, Philosophy, and more. The courses are experiential and focus on hands-on learning. You may find yourself conducting dissections in medicine, designing a robotic arm in engineering, participating in a moot court for law, or building creative writing portfolios and business case studies. By the end of the program, you’ll complete a personal project, receive written feedback, and a certificate of completion. You can find more details about the application here.
Location: Oxford, UK (University of Oxford college facilities)
Cost: £6,499
Dates: August 2 – 15
Application Deadline: Rolling admissions until places are filled
Eligibility: Ages 14–18
The Artificial Intelligence & Computer Science Summer School in the Oxford Scholars Programme is a project-based academic course designed for ambitious high school students interested in technology and innovation. Students explore how machines learn, process information, and solve problems, while developing practical Python programming skills for AI applications. The curriculum covers key topics such as AI model development, image recognition, chatbots, and ethical responsibility in AI design. A central component of the program is the AI Model Development Challenge, in which students collaborate to build, train, test, and refine AI models using real datasets. Teaching is delivered in small classes by expert tutors, with academic mentorship, official transcripts, and a letter of recommendation provided upon completion. Beyond academics, the residential program includes cultural activities, excursions, and formal events, offering a balanced and immersive Oxford summer experience.
Location: Oxford University Saïd Business School, Oxford, UK
Cost: £8,995
Dates: July 19–August 1
Application Deadline: Rolling admissions
Eligibility: Students aged 16–18; valid student visa required
The AI and Machine Learning Pioneers Summer School is an in-person program hosted at Oxford University’s Saïd Business School in collaboration with the Department of Economics. Designed for high school students, the program bridges technology and business by examining how artificial intelligence and machine learning are applied across global industries. Students explore topics including business analytics, econometrics, and data-driven decision-making, alongside core AI concepts. Participants also build practical technical skills through Python programming, AI-based data analysis, and discussions around the ethical use of artificial intelligence. Teaching is led primarily by an Oxford Economics professor, with additional instruction from Oxford faculty members, industry specialists, and active AI researchers.
Location: Imperial College London, South Kensington Campus, UK
Cost: Many programs are fully funded or offered at no cost, depending on the program
Dates: Varies by program (summer months)
Application Deadline: Varies by program
Eligibility: UK and international students from Year 9 to Year 12, depending on the program
Imperial College London offers a wide range of summer school programs designed to introduce high school students to science, engineering, and related STEM disciplines in a leading university environment. These programs combine academic taster sessions, hands-on activities, and mentorship to help students explore their subject interests while gaining insight into university life. Depending on the program, students may participate in on-campus learning, group projects, research exposure, or online challenges focused on solving real-world problems. Offerings include engineering-focused programs for younger students, subject-specific academic immersion for Year 12 students, research placements alongside university scientists, and a global summer school experience for international students. Many programs emphasise collaboration, presentation skills, and problem-solving, with opportunities to showcase work through poster presentations or judged project pitches.
Location: Virtual
Cost: $4,120
Dates: June 15–26
Application Deadline: February 6
Eligibility: Current 9th graders
Stanford AI4ALL Online is a two-week immersive virtual program that introduces high school students to artificial intelligence through live instruction and collaborative learning. Students attend daily online classes, work in research-focused groups, and engage in guided problem-solving sessions led by Stanford-affiliated instructors and mentors. The curriculum explores foundational AI concepts and discusses ethics, social impact, and real-world applications. The program requires full-time participation during scheduled hours and additional independent work outside class. By the end of the program, students gain a deeper understanding of AI and its role in society.
Location: Winchester, UK
Cost/Stipend: Program fees apply; exact pricing varies by package
Dates: Offered during Weeks 2 and 3 of the summer term
Application Deadline: Rolling admissions
Eligibility: Ages 15–17; no prior coding experience required
This pre-university AI course introduces students to how artificial intelligence is applied across industries, including autonomous vehicles, recommendation systems, and large-scale data analysis. Through hands-on, non-coding projects, students explore reinforcement learning, neural networks, deep learning, and ethical challenges in AI. The program focuses on developing conceptual understanding and practical skills instead of just programming, making it a strong starting point for beginners. Designed by academic experts, the course prepares students for future study in computer science, data science, or AI-related fields.
Location: University College London (UCL), London, UK
Cost/Stipend: Free (for eligible ACOMPS, In2Stem, and Sutton Trust participants)
Dates: Annually during summer (exact dates vary)
Application Deadline: Varies by access pathway
Eligibility: High school students enrolled in ACOMPS, In2Stem, or eligible Year 12 students through Sutton Trust pathways
The UCL Computer Science Summer School is an immersive, in-person program designed to introduce high school students to core and emerging areas of computer science within a leading research university. Students engage in masterclasses, practical workshops, and technical challenges guided by UCL faculty and research teams, providing insights into academic pursuits and practical computing applications. Key focus areas include artificial intelligence, medical imaging, robotics, cybersecurity, virtual reality, human-computer interaction, and assistive technologies. A distinctive feature of the program is its strong industry exposure, with students spending their final day working alongside an industry partner to explore careers in technology and engage with professionals. The curriculum is designed to be accessible to students with varied levels of prior experience, emphasising collaborative problem-solving, critical thinking, and teamwork.
Stephen is one of the founders of Lumiere and a graduate of Harvard College, where he earned an A.B. in Statistics. He founded Lumiere as a PhD student at Harvard Business School. Lumiere is a selective research program where students work 1-1 with a research mentor to develop an independent research paper.
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