July session
5 July 2026 to 18 July 2026
Two-week Oxford Academic Insights session.
Academic Insights – Artificial Intelligence
Academic Insights – Artificial Intelligence is a two-week residential or non-residential Oxford summer programme exploring AI through university-style teaching, a personal project and individual tutoring.

Academic Insights – Artificial Intelligence is a two-week residential or non-residential Oxford summer programme exploring AI through university-style teaching, a personal project and individual tutoring.

Current status
Applications open
Eligibility
Students aged 16-18
Age range / Year group
Ages 16-18
Location / Region
Oxford, UK
Cost
£5,995; £7,495; £9,516
Duration
2 weeks
Format
In-person
Class size: 7-10 students
Accommodation: Oxford college residence
Meals: Breakfast and dinner daily
Certificate / Outcome: Personal project; certificate
Teaching time: 40 hours
Academic Insights – Artificial Intelligence is an Oxford summer programme from Immerse Education for students who want to test university-style AI study.
Students explore machine learning, algorithms and AI’s wider impact through academic sessions, discussion, a personal project and individual tutoring.
It suits academically curious students who want both a focused AI introduction and a residential college experience.
Academic Insights – Artificial Intelligence is Immerse Education’s Oxford-based academic summer programme for students exploring how AI works and where it is used. The course introduces machine learning, algorithms and the social and industry impact of AI through university-style study.
Students combine in-depth sessions with a self-directed personal research project and one-to-one tutoring. The experience is designed to help participants test their interest in Artificial Intelligence while developing the habits of more independent study.
It pairs core AI concepts with a personal research project, so students create evidence of their academic curiosity.
One-to-one tutoring gives students space to clarify difficult ideas and shape a focused project.
The Oxford college setting makes the programme more than classroom study, with formal dinners, activities and a London day trip.
The small advertised class size supports discussion-led, university-style learning.
Students who are curious about machine learning, algorithms and AI ethics and want a structured first taste of university-style study in Oxford.
You need a low-cost or fully online option, or want a programme centred on intensive software engineering rather than broad academic exploration.
This is a strong option for a student who wants to explore AI in a serious academic setting while producing a personal project and experiencing residential college life. The combination of tutoring, small classes and structured activities gives it more depth than a sightseeing-led summer camp.
Its value depends on fit and budget. Two weeks is enough to test interest and gain direction, but not enough to replace sustained coding practice or a longer research programme.
Effort level
Moderate to high.
Best started
Four to six weeks before the intended session.
Main challenge
Turning broad curiosity about AI into a focused project question.
Read a beginner-friendly introduction to machine learning and note questions you want to explore.
Choose one AI application, ethical issue or algorithmic problem that interests you.
Prepare a short explanation of your academic interests for the enrolment form.
For residential travel, plan documents, insurance and practical arrangements early.
Useful if
You enjoy discussion, independent reading and problem-solving.
Students study Artificial Intelligence through academic sessions, discussion and guided independent work, then develop a personal project with tutor support. The Oxford timetable also combines teaching with social activities, excursions and evening events.
Explore machine learning, algorithms and AI’s real-world implications.
Take part in in-depth academic sessions led by expert tutors.
Develop a self-directed research question and personal project.
Use one-to-one tutoring to discuss ideas and receive focused feedback.
Join Oxford activities, formal dinners, a London day trip and graduation.
July session
5 July 2026 to 18 July 2026
Two-week Oxford Academic Insights session.
Current session
19 July 2026 to 1 August 2026
Two-week Oxford Academic Insights session.
| Milestone | Date | Timezone | Status | |
|---|---|---|---|---|
July session | 5 July 2026 to 18 July 2026 | Local | Past | |
Current session | 19 July 2026 to 1 August 2026 | Local | Past |
For students aged 16-18.
Under-18s need a parent or legal guardian to complete enrolment.
Students should be interested in exploring Artificial Intelligence.
No previous AI skills or experience are required.
Non-residential
£5,995 — No accommodation.
Funding or discounts
What's included
40 teaching and coaching hours., Tuition by an academic expert., Support from designated mentors and one-to-one support., Guest speaker sessions and tutor evaluation., Personal project and Certificate of Attendance., Breakfast and dinner daily., Residential plans include 13 nights at university accommodation., Tailored cultural and social activities.
Select Artificial Intelligence, Oxford and your preferred session.
Complete the online enrolment form.
A parent or legal guardian completes enrolment for under-18s.
Pay the programme deposit to secure your place.
Follow the provider’s guidance on documentation and remaining payment.
The programme covers the following focus areas.
Machine learning and algorithms
Explore core AI principles, including how algorithms and machine learning support intelligent systems.
AI in society
Consider how AI affects society and industries, including ethical questions around its use.
Personal research project
Develop an original research question using university-level methods with tutor guidance.
Tutorial-style feedback
Use individual tutoring to clarify complex ideas and explore advanced interests.
Curriculum may be adjusted based on participant interests and current developments.
A typical day during the programme.
Academic Session on weekdays, after breakfast.
Further Academic Sessions, with a one-to-one tutorial scheduled during the sample fortnight.
Activities include masterclasses, project supervision, sport and Oxford experiences.
Social events, guest speakers, study time and a final-night celebration feature in the sample timetable.
Academic sessions are led by expert tutors from prestigious universities, with one-to-one tutoring tailored to each student’s learning style and goals. The Oxford programme also names academic experts including a University of Oxford DPhil participant and a University of Cambridge Research Fellow.
Academic Insights programmes are advised by an Academic Advisory Panel of Oxbridge scholars on curriculum, tutor recruitment and assessment.
College allocation is made a few weeks before arrival and depends on dates and subject choice.
After completing this programme, participants often pursue:
Use a personal research project as a portfolio piece for future applications.
Receive a Certificate of Attendance at programme completion.
Build familiarity with university-level study and independent research.
Explore whether Artificial Intelligence or Computer Science is the right next academic step.
Students aged 14+ can opt into the opportunity to earn 8 UCAS points.
UCAS points are an optional add-on and are not part of the standard programme package.
The programme is based at Oxford University colleges in Oxford, giving participants a residential collegiate setting while they study Artificial Intelligence. The wider experience includes Oxford activities and a full-day trip to London.
Students arrange their own travel to and from Oxford.
Compare these options if you want a different route into Artificial Intelligence, coding or broader technology exploration.
Online AI programme with project-based learning
Best for
Students wanting online AI learning
Mentored research programme for ambitious students
Best for
Students prioritising research output
Humanity and AI exploration with global peers
Best for
Students interested in AI ethics
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Content reviewed by
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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