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Innovate Summer Academy: Computer Science and Artificial Intelligence

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Summary

Innovate is more than a summer course – it’s an academic accelerator. Our programme combines academic excellence with real-world application through project-based learning, industry visits, and guest speakers, connecting theory to practice. Students gain the insight to make informed choices about their academic direction and career pathways while developing critical thinking, creativity, and resilience – essential skills for success at university and beyond.

Set in the heart of London at a world-renowned university, Innovate offers expert-led teaching, close mentoring, and collaborative projects in a community that values both academic achievement and individual growth. Every student is supported and challenged to reach their potential, mastering academic content while applying knowledge to
today’s pressing challenges. At Innovate Summer Academy, we prepare students not just for their next step in education, but for a lifetime of achievement and fulfilment.

Dates: 9 July 2026 – 23 July 2026; 23 July 2026 – 6 August 2026;6 August 2026 – 20 August 2026

Program Features

  • Learn from Top QS university lecturers
  • Inspiring London location
  • Industry visits and experiential learning
  • Develop confidence and skills for life

What's Included?

  • All lectures and tuition materials
  • Single, en-suite accommodation
  • Full-board dining (i.e. all meals included)

Program Details

  • Date 9 July – 20 August 2026
  • Duration 2 weeks
  • Ages 15-18
  • Fees £3,675 - £5,985
  • Location London

More Information

Students learn core computer science and artificial intelligence through hands-on projects, gaining practical experience in programming, software development, data analysis, machine learning, robotics, and cybersecurity. The programme builds a strong foundation in engineering and computer science principles while developing critical thinking, problem-solving, and innovation skills. Alongside technical training, students explore the ethical and societal implications of AI, including privacy, bias, and responsible use of technology, ensuring they can apply their knowledge thoughtfully and responsibly. The curriculum progresses from an introduction to computer systems and Python programming to artificial intelligence, machine learning, data science, robotics, and cybersecurity, providing a comprehensive and balanced preparation for further study and future careers in technology and AI.

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