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FACULTIES

Computer Science and Artificial Intelligence

As part of our 2-week pre-university programme, Innovate students can choose to study with the Faculty of Computer Science and AI. Engage deeply with core areas of computer science, such as programming, data analysis, and machine learning, gaining both technical knowledge and an understanding of the ethical and societal impacts of AI.

computer science ISA
The programme covers foundational modules like computer science, programming, artificial intelligence, and machine learning, with a strong emphasis on both theoretical knowledge and practical skills. Students will learn through hands-on projects, be taught programming languages, and software development techniques. Our curriculum also highlights ethical considerations and societal impacts of AI, encouraging a responsible approach to technology.​

Loved by our students

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Sanaa Hamid
7 August 2026
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This summer school provides a fruitful and engaging experience to students. It is not only about providing University-level introductory lectures, but also about project based activities that encourage critical thinking and creativity. In addition, there are lectures about preparing for University education, and several campus and company visits. I highly suggest this school for prospective students.
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Catrona McDaid
7 August 2026
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My daughter recently returned from the Innovate Summer Academy and had an incredible experience, and I can't recommend it highly enough. The quality of teaching was first-class. The lectures went into real depth, and small class sizes meant she got genuine one-to-one time with them to discuss her learning in more detail. This all came together in her Capstone project, where she applied what she'd learned in class and her industry visits, developed skills in critical thinking and problem-solving and presented confidently to a panel of experienced lecturers. She has since told me this experience has confirmed exactly what she wants to study at university next year and I’m delighted as before, she was a bit unsure. Beyond the academics, the programme struck a brilliant balance. The timetable left space to explore London, bond with her group (she has so many amazing pictures and stories!), take in the city's cultural highlights, and go on industry visits that brought her classroom learning to life. She's made genuine friends who are planning to stay in touch and meet up next year and she’s left feeling motivated and ready for the next step in her academic journey. Huge thanks to the whole Innovate team and a special shout out to Kevin, the programme lead, for creating a summer programme that balances academic rigour with a fantastic life experience, and Josh, who looked after the students so well day to day. Highly recommended without hesitation and thank you so much - my daughter will never forget her time with you all!
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Diego D.
5 August 2026
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This program was a great experience. The classes in my faculty (engineering) were very interesting because they showed us how engineers think and approach problems. The talks held each day were inspiring, as they were given by speakers who had genuinely overcome significant challenges and achieved success.
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Andreja Popovic
5 August 2026
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Excelent experience met people who I will stay friends for a long time and learned sruff I cant learn in school
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Tasso Chatzinikolaou
5 August 2026
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Great summer experience. Highly recommend
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ifemdifechi egwuenu
5 August 2026
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Very fun and engaging program and allowed me to see, understand and know what I want to study next. The staff were amazing and always kind and I felt very comfortable here
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Megan Sumner
5 August 2026
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A great, immersive experience. We got practical experience and excursions we wouldn’t be able to access anywhere else. We also got to do lots of sightseeing
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Георгий
5 August 2026
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One of the best summer camp experiences I’ve ever had🤝🔥
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Joshua Byrne
5 August 2026
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Really great program with great faculty options , wonderful student experience would 100% recommend
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Berk
5 August 2026
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It was the best experience I have ever had.

Why choose us?

Learn from the best

Lecturers from prestigious universities such as Cambridge, Kings College London and more

Inspiring London location

Study at the world-famous University College London (UCL), at the heart of London

Industry visits

Prepare for your future career with visits and talks at top London companies

97%

Of our students would recommend Innovate Summer Academy to a friend

Core objectives & benefits

The course aims to nurture critical thinkers, creative problem solvers, and responsible technology users. By the end of the programme, students will possess a well-rounded skill set and a clearer sense of possible specialisations and career paths within the technology sector

Fundamental Engineering Principles

Provide students with a solid grasp of core computer science principles and the foundational theories of artificial intelligence.

Practical Skills Development

Develop skills in programming languages, software development, and the use of AI tools and frameworks through hands-on projects and exercises. 

Critical Thinking and Problem-Solving

Enhance analytical skills and the ability to approach complex problems methodically and creatively. 

Ethical and Societal Implications

Foster an awareness of the ethical considerations and societal impacts of AI technologies, encouraging responsible and informed application of AI. 

Innovation and Research

Inspire students to explore cutting-edge technologies, innovate solutions, and engage in research to contribute to the advancement of the field. 

Core modules

This module provides a comprehensive overview of computer science. It begins by defining computer science and exploring its major subfields, followed by a discussion of key historical developments and contributions made by scientists and engineers. Following topics include an introduction to hardware components of a computing systems, various number systems such as Boolean numbers, and software concepts covering, operating systems, programs, and applications.

This module introduces students to programming concepts through Python. Students learn about variables, loops, conditionals, and functions as they begin to code simple applications, emphasising problem-solving and debugging techniques. This module also touches on algorithmic thinking, giving students tools to plan and write efficient code.

This module provides an introductory overview of artificial intelligence, including its historical development, fundamental concepts, and current applications. Students learn about machine learning, neural networks, and natural language processing, discussing how AI is applied in fields such as healthcare, finance, and entertainment. Ethical considerations, including privacy, bias, and accountability in AI, are discussed to help students develop a thoughtful approach to AI.

This module introduces students to core machine learning techniques, and guides them through the process of training models on datasets. Students learn to differentiate between types of machine learning and to select appropriate algorithms for various tasks. Handson activities focus on applying simple machine learning models, allowing students to experience the iterative nature of model training and tuning.

This module focuses on the data science workflow, teaching students the steps from data collection to analysis and visualisation. Students learn to identify meaningful trends in data and present their findings in a clear and impactful way. This hands-on approach equips students with valuable skills in data analysis, a foundation for more advanced work in AI and analytics.

This module introduces students to robotics principles, covering topics like sensors, control mechanisms, and simple automation tasks. Students work with basic robots, programming them to perform tasks such as navigating a course or picking up objects. The module emphasises the connection between mechanical and electronic components, showing how robots use sensors to interact with their environment.

This module explores the ethical and societal implications of AI, examining topics such as data privacy, algorithmic bias, and AI’s impact on employment and social equity. Through discussions, case studies, and debates, students consider both the potential benefits and risks of AI technology. By developing these skills, students become informed participants in conversations about the future of AI and its role in society.

The aim of this session is to introduce students to the principles of human-computer interaction (HCI) and the importance of designing technology around the needs and experiences of users. Students will explore the development of user interfaces over time, from early command-line systems to modern graphical, touch-based, and conversational interfaces, while considering how people interact with technology in everyday life.

Sample timetable

ISA Computer Science Timetable Factsheet 2026

Capstone Projects

The Capstone Project is the defining moment of every student’s journey at Innovate Summer Academy. It transforms classroom learning into a real-world challenge, giving students the opportunity to think creatively, act boldly, and showcase their talents.
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Experiential Learning at Innovate

Experiential Learning at Innovate

Alongside industry visits, our programme combines academic excellence with real-world application through project-based learning, museum and university visits, and guest speakers, connecting theory to practice.

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Innovate Summer Academy student with microscope at UCL