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    Data Science and Artificial Intelligence Summer School
    In-person Program

    Data Science and Artificial Intelligence Summer School

    by Imperial Global Summer School

    Imperial’s AI summer school combines Python tutorials, research-paper discussions and team projects to explore how data becomes useful insights and real-world applications.

    Last verified: 8 Oct 2026Reviewed by:SSSean Stevens

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    Data Science and Artificial Intelligence at a glance: cost, dates and eligibility

    Current status

    Applications open

    Eligibility

    Academic and English requirements

    Age range / Year group

    Ages 16-17

    Location / Region

    London, United Kingdom

    Cost

    £7,695

    Duration

    2 weeks

    Format

    In-person

    Application deadline

    Rolling · Next cycle not announced yet. These dates are from the latest verified cycle and should be used as a reference only.

    Save program
    Artificial IntelligenceComputer ScienceMathematicsStatistics
    Accommodation: Prince’s Gardens twin en-suite rooms
    Campus experience: Data Observatory visits; social activities
    Tutors / faculty: Data Science Institute staff
    Student support: Imperial student mentors
    Teaching time: More than 50 hours
    Main output: Research-paper and team project presentations

    Data Science and Artificial Intelligence summary

    Imperial’s Data Science Institute leads a practical introduction to data science and AI, combining lectures with Python tutorials and group projects.

    Students explore computer vision and natural language processing, discuss research papers and present their ideas before tackling an interdisciplinary Innovation Challenge.

    The strongest fit is a student who wants to connect technical learning with teamwork and a structured taste of university life.

    What is Data Science and Artificial Intelligence Summer School?

    The Data Science and Artificial Intelligence Summer School is a subject stream within Imperial College London’s Global Summer School. Data Science Institute staff introduce how data is collected, processed, visualized and used to support AI and machine learning, combining lectures with practical tutorials and group work.

    The first week includes Python, computer vision, natural language processing and presentations based on research papers. In the second week, students join peers from other subjects for the Imperial Enterprise Lab’s Innovation Challenge. Residential campus life, student mentors and organized social activities accompany the academic work.

    Why Succeed highlights Data Science and Artificial Intelligence

    • Python practical sessions connect foundational concepts with image classification and other AI applications.

    • Research-paper reading and group presentations ask students to explain ideas rather than simply attend lectures.

    • Small-group Data Observatory visits connect the subject with Imperial’s research facilities.

    • The Innovation Challenge adds interdisciplinary teamwork to the technical study.

    • Current Imperial student mentors provide academic and pastoral support alongside the teaching.

    Who is Data Science and Artificial Intelligence for?

    Best for

    Students interested in how mathematics, statistics and computing come together in AI, who enjoy practical tasks and explaining ideas with others.

    Not ideal if

    You want a narrowly focused coding course or a flexible day program; the experience combines several AI topics with compulsory residential attendance and team projects.

    Is Data Science and Artificial Intelligence worth it?

    This is a strong option for testing whether university-style data science interests you. Python practical work, research-paper discussions and presentations give you several ways to engage with the subject, while the Innovation Challenge adds experience of collaborating across disciplines.

    The main tradeoff is breadth: a short summer school cannot replace sustained programming practice or a longer independent project. Families should weigh the residential experience and academic support against the substantial fee, especially because the program offers no scholarships or financial assistance.

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    A practical overview of cost, accommodation, meals, dates and provider details to review before deciding.

    Cost and what is included

    £7,695.

    Accommodation

    Prince’s Gardens twin en-suite rooms

    Provider details

    Review the Imperial Global Summer School provider page and official sources before making a final decision.

    Dates and logistics

    2 weeks; London, United Kingdom.

    What to check before committing

    Confirm current dates, payment terms, travel arrangements, cancellation rules and what is included with the provider.

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    How much preparation does Data Science and Artificial Intelligence need?

    Effort level

    Substantial, with more than 50 teaching hours and a busy residential schedule.

    Best started

    Begin preparing several weeks before the next application window; allow longer for international travel arrangements.

    Main challenge

    Turning unfamiliar technical ideas and research papers into clear group presentations.

    Typical preparation

    • Gather your academic records and ask a teacher about supporting your application.

    • Draft a focused 150-word personal statement explaining your motivation and relevant experiences.

    • Practice basic Python and explaining a technical idea in plain language.

    • Discuss residential expectations, travel documents and insurance with your parent or guardian.

    Useful if

    You want to test your interest in AI through both practical work and academic discussion.

    What do students do on Data Science and Artificial Intelligence?

    You move from foundational data science and Python into computer vision, natural language processing and research-paper presentations. The second week shifts to collaborative project work through the Innovation Challenge.

    Step-by-step process

    1. 1

      Attend campus induction and meet the other students.

    2. 2

      Learn data science foundations and practice Python.

    3. 3

      Explore data visualization and visit the Data Observatory in a small group.

    4. 4

      Study computer vision and try image classification.

    5. 5

      Work through natural language processing exercises and tutorials.

    6. 6

      Read selected research papers and present your group’s insights.

    7. 7

      Collaborate with students from other subjects on an Innovation Challenge project and presentation.

    Data Science and Artificial Intelligence dates and deadlines

    Next cycle not announced yet. These dates are from the latest verified cycle and should be used as a reference only.

    Applications

    Rolling admissions

    2026 admissions used first-come allocation until capacity.

    Reference date

    Program dates

    August 2026

    Two-week subject stream; exact calendar dates are not announced.

    Reference date

    Eligibility and requirements

    • Be 16 or 17 before the program starts.

    • Do not turn 18 before or during attendance.

    • Meet Imperial’s academic and English language requirements.

    • Provide at least eight Key Stage 4 subjects or equivalents.

    • Demonstrate STEM enthusiasm, academic excellence and motivation.

    • UK-based and international students may apply.

    How much does Data Science and Artificial Intelligence cost?

    Program fee

    £7,695 — 2026 total.

    Funding or discounts

    • Scholarships and financial aid: None — No discounts, scholarships, bursaries or financial assistance.
    • Installment plan: By agreement — May be arranged for places confirmed by mid-February.

    How to apply to Data Science and Artificial Intelligence

    1. 1

      Read the academic, age and English language requirements.

    2. 2

      Create and verify an Aspire account, then select New Application.

    3. 3

      Choose Global Summer School, the relevant session and Data Science and Artificial Intelligence.

    4. 4

      Enter your grades, English language information and referee details.

    5. 5

      Submit a personal statement of no more than 150 words.

    6. 6

      Ask your teacher and parent or guardian to complete the requested forms.

    7. 7

      If offered a conditional place, upload the required passport and academic documents.

    8. 8

      Follow your unconditional offer instructions to accept and pay.

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    What does Data Science and Artificial Intelligence cover?

    The program covers the following focus areas.

    Data science and Python

    Study data preparation, exploratory analysis, modeling, evaluation and visualization through lectures and Python practice.

    Computer vision

    Explore image features, machine learning approaches and practical image classification using Python.

    Natural language processing

    Learn about modern language-processing applications and complete guided tutorials and individual exercises.

    Research-paper presentations

    Read selected research papers and present your group’s understanding, insights and ideas.

    Innovation Challenge

    Work with students from other subjects to address a real-world challenge and present a team project.

    Curriculum may be adjusted based on participant interests and current developments.

    What is a typical day on Data Science and Artificial Intelligence?

    A typical day during the program.

    Week one subject study

    09:30-12:30 covers data science, Python, computer vision, NLP and presentation preparation.

    Week one practical work

    Tutorials and self-study run from 13:30; Observatory visits end at 16:30, with selected masterclasses until 17:45.

    Week two team project

    Main blocks run 09:30-12:30 and 13:30-16:30, with a Tuesday masterclass until 17:45.

    Social activities

    The sample includes campus activities, theater, bowling, London sightseeing and a Brighton day trip.

    Who teaches on Data Science and Artificial Intelligence?

    Data Science Institute staff lead the subject stream, with Ping Huang and Dr Kai Sun listed under teaching staff. The Imperial Enterprise Lab leads the Innovation Challenge, while current Imperial student mentors provide academic and pastoral support.

    Where do students stay on Data Science and Artificial Intelligence?

    Residential plan

    • Prince’s Gardens rooms: Students share twin en-suite bedrooms in the on-campus hall of residence.
    • Room essentials: Rooms include linen, towels, desks, lamps, wardrobes, fans and tea and coffee facilities.
    • Academic and pastoral support: Current Imperial student mentors support students and introduce campus life.
    • Social activities: The sample schedule includes evening activities, London outings and a Brighton day trip.

    Students must stay on campus throughout attendance; Global Summer School accommodation is not provided before or after the program.

    What happens after Data Science and Artificial Intelligence?

    After completing this program, participants often pursue:

    Build a foundation for further study of data science and AI.

    Practice Python through data science and image classification tasks.

    Develop research-paper reading and presentation skills.

    Strengthen communication and teamwork through the Innovation Challenge.

    Experience university-style learning and living away from home.

    Where does Data Science and Artificial Intelligence take place?

    Students live on Imperial’s South Kensington campus in London, with accommodation at Prince’s Gardens. The subject stream includes small-group Data Observatory visits, and the social schedule includes London outings and a Brighton day trip.

    Data Science and Artificial Intelligence FAQs

    The subject stream covers data science foundations, Python, data visualization, computer vision and natural language processing. Students also read research papers, give group presentations and take part in the interdisciplinary Innovation Challenge.

    The subject stream is led by Data Science Institute staff, with Ping Huang and Dr Kai Sun listed under teaching staff. Current Imperial student mentors provide academic and pastoral support, while the Imperial Enterprise Lab leads the Innovation Challenge.

    Students must live on campus for the full program. Accommodation is in twin en-suite bedrooms in Prince’s Gardens, and students cannot leave and return during the program.

    Imperial does not offer discounts, scholarships, bursaries or financial assistance for Global Summer School. Its separate outreach summer schools are different programs.

    Teachers verify application details, grades and English language ability and submit a supporting reference. Parents or guardians confirm support and explain any special requirements; their information is used for clarification rather than selection.

    The personal statement has a 150-word limit. It should explain motivation, suitability and relevant achievements or skills beyond the grades already entered in the application.

    Families should establish whether a visa or electronic travel authorization is needed and arrange appropriate travel and medical insurance. Imperial can provide a visa invitation letter after a place is confirmed.

    Global Summer School describes more than 50 hours of teaching. The sample schedule combines morning and afternoon academic activities with self-study, group work and evening social activities.

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    Sean Stevens

    Content reviewed by

    Sean Stevens

    Co-founder, Succeed | Founder, Immerse Education (2012–2026)

    Sean works at the intersection of academic enrichment, program quality and university preparation, with expertise in evaluating pre-university experiences for ambitious secondary school students.

    View author page

    Sources and verification

    Source types reviewed

    • Making the most of your Global Summer School 2026 experience – Imperial Global Summer School
    • How to apply | Imperial Lifelong Learning | Imperial College London
    • Frequently asked questions | Imperial Lifelong Learning | Imperial College London
    • Apply | Study | Imperial College London
    • The Global Summer Schools Data Science and AI 2026 Sample Timetable contains the full academic programme and social activities. This timetable is subject to change.
    • Data Science and Artificial Intelligence | Imperial Lifelong Learning | Imperial College London

    Succeed uses official provider information where available, but keeps this public page focused on comparison and planning inside Succeed.

    What we verified (on 8 Oct 2026)

    • Official subject page checked

    • Eligibility requirements reviewed

    • Application process reviewed

    • Fee and funding reviewed

    • Residential arrangements reviewed

    • Sample timetable reviewed

    How Succeed uses this information

    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.