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Engineering: Software, Robotics & AI

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Engineering: Software, Robotics & AI Summer School

Step into the future with our Software, Robotics & AI programme, designed for students aged 16–18 eager to explore cutting-edge technology. This immersive course blends theory, hands-on experience, and real-world applications to provide a deep understanding of computer science, robotics, and artificial intelligence.

You’ll dive into key concepts like algorithms, data structures, and object-oriented programming, while also exploring how AI powers intelligent systems and how software interacts with robotics. Through hands-on simulations, real-world challenges, and a personalised project, you’ll apply your skills in innovative ways.

Beyond technical expertise, you’ll engage in critical discussions on the ethics and security of emerging technologies, preparing you for the fast-evolving world of tech. Whether you’re aiming for further studies or a future career in software, robotics, or AI, this programme will equip you with the knowledge and skills to lead the way.

Cambridge, London & New York

Discover the future of technology at a centre of innovation

Ages 16-18

On-Campus

What's Included?

  • College Accommodation
  • Expert Teaching
  • Hands-on Workshops
  • Practical Masterclasses
  • Exclusive Events
  • Graduation Certificate

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This course is perfect for you if...

  • You're aiming for a career in the cutting edge fields of computer science are are looking to develop key subject skills
  • You're interested in the future of technology and want a head start in learning how computer science can be applied to solve problems
  • You're looking to pursue an Engineering, Computer Science, or Technology degree at university
  • You already have basic knowledge and want to take your programming and computer science skills to the next advanced level

What you'll learn

Learn essential concepts like algorithms and data structures, mathematics for computing, and theory of computation.

Learn the key robotic concepts, from the hardware used in robotics, how they can interact with the environment and programming languages like Python and C++.

Understand the lifecycle of software development and engineering and its real-world applications, such as self-driving cars.

Explore key ethical considerations around AI, security, and the impact of emerging technologies on society.

Algorithms and data structures are the foundation of modern computing, enabling efficient problem-solving across various domains. Students will explore the fundamental science behind these models and how they are used in modern technology.

In this assignment, students will evaluate and compare Waterfall, Agile, and Iterative software development methodologies to determine the best approach for building a Smart Fitness Application. The app will include personalised fitness plans, real-time tracking, and AI-driven recommendations. With constraints like tight deadlines, evolving requirements, and scalability, students will simulate the decision-making process of software engineers, assessing each methodology’s strengths and weaknesses before recommending the most suitable approach. Through research and analysis, they will develop a structured report justifying their choice, preparing them for real-world software development challenges.

In this hands-on project, students will design a navigation system for self-driving cars, simulating real-world challenges in robotics and AI. Working as engineers for a fictitious company, they will develop a prototype using sensors, actuators, and AI algorithms to enhance vehicle safety and decision-making. Through problem identification, system design, prototype development, and performance evaluation, students will gain practical experience in autonomous technology. This project strengthens skills in AI, programming, robotics, and ethical decision-making, preparing students for future innovations in self-driving systems.

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