Computer Science and Artificial Intelligence at University College London

Course Description: Computer Science and Artificial Intelligence at University College London

Faculty of Computer Science and Artificial Intelligence: University College London

Location: University College London (UCL), Bloomsbury Campus

Class Size: 12 students per class

Program Overview

The Faculty of Computer Science & Artificial Intelligence at Innovate Summer Academy offers a dynamic introduction to the principles, tools, and innovations shaping the digital world. Students explore programming, data analysis, and machine learning through a combination of academic study, practical coding sessions, and problem-solving challenges.

Industry visits, expert guest lectures, and interactive projects provide first-hand exposure to the cutting-edge applications of AI in sectors such as healthcare, finance, and engineering. Ethical and societal implications of technology are embedded throughout the curriculum, encouraging students to think critically about responsible innovation. By the end of the program, participants will have developed a strong technical foundation, creative problem-solving skills, and a clearer vision of potential specialisations and career pathways in the technology sector.

What’s Included

• 14 nights / 15 days full board accommodation at UCL, Bloomsbury campus, in single ensuite rooms.

• 60 hours of academic input over two weeks, including core lessons, guest lectures, masterclasses, and project preparation.

• 2 company visits to leading institutions.

• 2 university visits to explore higher education opportunities and academic life.

• 1 faculty-related visit designed to complement academic learning.

• 2 full-day excursions to iconic destinations and landmarks.

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Accommodation

University College London, Bloomsbury Campus

Students will stay in single ensuite rooms at UCL’s Bloomsbury campus, offering a safe and comfortable environment in the heart of London.

Features Include:

• Full board with daily hot breakfast, lunch, and dinner (packed meals on excursion days).

• Private ensuite rooms with a desk, wardrobe, and ample storage space.

• Access to shared facilities, including a kitchen, canteen, cinema room, music and games rooms, and landscaped gardens.

• 24-hour onsite security ensuring a safe and secure stay.

• Convenient location within walking distance of iconic London landmarks and attractions.

This prime Zone 1 location allows students to fully immerse themselves in the vibrant city experience while focusing on their academic and personal development.

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Sample Innovate Curriculum:

Core Module 1: Introduction to Computer Science

This foundational module introduces students to the key principles of computer science, covering topics such as binary systems, hardware components, computational logic, and the structure of computer systems. The module provides a historical overview of computing, explaining how early innovations have evolved into today’s technology landscape.

Core Module 2: Programming Essentials

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

Core Module 3: Foundations of Artificial Intelligence

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.

Core Module 4: Machine Learning Techniques

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. Hands-on activities focus on applying simple machine learning models, allowing students to experience the iterative nature of model training and tuning.

Core Module: Robotics and Automation This module introduces students to the principles of robotics and industrial automation, exploring how intelligent machines are designed, built, and used across industries. Students learn about the physics behind robots, key hardware components such as sensors and actuators, and essential software tools including the Robotic Operating System (ROS) and Programmable Logic Controllers (PLCs).

Through interactive lessons and simulations, students experiment with robotics platforms, discover the concept of digital twins, and explore how artificial intelligence enhances robotic autonomy and decision-making. The module concludes with a hands-on project where students program and control a robot arm, applying their new skills to solve real-world challenges.

Sample Lecturers

·       Dr. Sanaa Hamid Mohamed (Kings College London)

·       Professor Anna Chechel (University of Cambridge)

·       Dr. Nadine Randel (University of Cambridge)

·       Ms. Christiane Cladrow (University of Edinburgh)

·       Dr. Anita Karsa (University of Cambridge)

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Sample Industry Visits

AgriBot: AI in Agriculture

Discover how artificial intelligence is revolutionising modern agriculture by enhancing crop management, precision irrigation, and pest control. In this hands-on workshop, you’ll explore the algorithms, sensors, and robotics that power AI-driven farming solutions, and see how these innovations improve efficiency, sustainability, and global food security. Mixed Reality Rooms: Business Strategy in Action

Mixed Reality: Immersive Tech Applications

Visit Mixed Reality, a cutting-edge company at the forefront of blending digital and physical environments. Take part in interactive simulations that showcase how immersive technology is transforming industries such as engineering, medicine, design, and education. Gain first-hand insight into how mixed reality is driving innovation and shaping the future of human–technology interaction.

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Sample Full Day Excursions

Visit to the University of Oxford or Cambridge Explore the historic cities of Oxford or Cambridge with a guided tour of one of their prestigious colleges, gaining first-hand insights into life at one of the world’s top universities. Discover the rich history, iconic architecture, and centuries-old academic traditions that have shaped these renowned institutions

Brighton Excursion

Enjoy a full-day trip to the vibrant seaside city of Brighton, strolling along the iconic Brighton Pier, exploring the lively beachfront, and wandering through The Lanes, a historic quarter famed for its unique shops, cafés, and charming atmosphere.

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Sample Guest Speakers

Vardaan Shekhawat, CEO, UK Jobs Insider: Insights on career readiness and industry trends.

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Program Benefits

·       60 hours of academic input, combining lectures, workshops, and projects

·       50 student-led capstone projects across multiple disciplines

·       45 classes spanning diverse academic fields

·       19 Career Learning Portfolios to showcase student achievements

·       14 university lecturers with expert knowledge and real-world experience

·       12 museum and faculty-led visits to enrich learning

·        9 laboratory demonstrations in state-of-the-art facilities

·       9 academic and exam skills classes for university preparation

·       6 hours of career-focused classes and one-to-one mentoring

·       6 industry visits to leading organisations and institutions

·       5 cutting-edge faculties to choose from

·       4 guest speakers on all-female panels exploring the future of innovation

·       3 university visits across London, Cambridge, and Oxford

·       2 Career Dive masterclasses and inspiring keynote speaker

·       1 Innovate Summer Academy experience in the heart of London

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Student Welfare and Support

• Accommodation: Full board, single ensuite rooms at UCL, Bloomsbury campus.

• Safety: 24/7 onsite security and medical resources.

• Personalized Mentorship: Each student receives tailored academic and personal support.

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Not Included:

Airport transfers for all London airports (£150 each way)

Minimum English level Requirement

B2+