Computer Science and Artificial Intelligence at University College London

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

The Computer Science & Artificial Intelligence Summer Programme is an academically rigorous, university-led experience designed for students interested in programming, data science, machine learning, robotics, and emerging technologies.

Delivered on UCL’s Bloomsbury Campus, the programme combines theoretical foundations, hands-on coding, and applied problem-solving with exposure to real-world AI applications across sectors such as healthcare, finance, engineering, and sustainability. Ethical and societal considerations are embedded throughout the curriculum, encouraging students to think critically about responsible and human-centred innovation.

By the end of the programme, students develop a strong technical foundation, computational thinking skills, and a clearer understanding of future study options and career pathways in technology.

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📍 Campus & Location

Teaching takes place in UCL academic buildings on the Bloomsbury Campus, located in the heart of central London. Student accommodation is provided at Garden Halls, approximately a 10-minute walk from classrooms.

This Zone 1 location places students within walking distance of museums, research institutions, and technology-focused districts, creating an authentic university learning environment. Class Size: 12 students per class

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🍽️ Meals (Fully Included)

All meals are fully included for both residential and day students:

• Breakfast & Dinner: Served daily at Garden Halls

• Lunch: Provided at the UCL refectory

• Excursion Days: Packed lunches provided

All dietary requirements are supported, including vegetarian, vegan, halal, and allergy-related needs.

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🗓️ A Day in the Life (Weekdays)

Morning (09:00–12:00)

Faculty-specific academic classes delivered by university lecturers. Sessions combine lectures, coding workshops, collaborative problem-solving, and guided discussions.

Lunch

Students dine together at the UCL refectory, encouraging peer interaction and informal academic discussion.

Afternoon

Afternoons are dedicated to experiential learning, which may include:

• Industry and company visits

• University and research facility visits

• Museum-based academic enrichment

• Applied labs and project workshops

Evening

Evenings feature:

• Guest lectures from industry and academia

• Career and university preparation masterclasses

• Capstone project development

• Supervised social and cultural activities

Typical Day: 08:30 – 21:30

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🗓️ Weekends & Full-Day Excursions (Included)

Weekend excursions are fully included and form a core part of the programme:

• Oxford University Day Trip

  Guided college tour (including Magdalen College) and academic insight into university life

• Cambridge University Day Trip

  Guided college tour (including King’s College) with traditional punting experience

• London Cultural Day

  Exploration of major landmarks, museums, and innovation-focused institutions

• Brighton Coastal Excursion

  Full-day seaside visit including Brighton Pier and The Lanes

All excursions are fully supervised, with organised transport and pastoral staff present throughout.

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👩‍🏫 Teaching Staff

All teaching is delivered by university lecturers and subject specialists from leading UK universities.

Sample Lecturers Include:

• Dr. Sanaa Hamid Mohamed – King’s 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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📚 Faculty of Computer Science & Artificial Intelligence

Programme Overview

This programme introduces students to the core principles of computer science and artificial intelligence, blending academic rigour with practical application. Students explore how modern computing systems work, how software is designed, and how intelligent systems learn and make decisions.

The programme emphasises:

• Computational thinking and logical problem-solving

• Coding and algorithmic design

• Applied artificial intelligence and machine learning

• Ethical, societal, and human-centred technology design

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🧠 Detailed Sample Curriculum

Core Module 1: Introduction to Computer Science

Students explore the fundamental principles of computer science, including binary systems, data representation, hardware components, and computational logic. The module provides historical context, tracing the evolution from early computing machines to modern digital systems, and explains how hardware and software interact within computer architectures.

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Core Module 2: Programming Essentials (Python)

This module introduces programming through Python. Students learn variables, data types, loops, conditionals, and functions while building simple applications. Emphasis is placed on problem-solving, debugging, and algorithmic thinking, enabling students to design structured, efficient code.

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Core Module 3: Foundations of Artificial Intelligence

Students are introduced to artificial intelligence concepts, including machine learning, neural networks, and natural language processing. The module explores how AI systems learn, make predictions, and interact with users, alongside discussions of real-world applications in healthcare, finance, media, and entertainment.

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Core Module 4: Machine Learning Techniques

This module focuses on the practical foundations of machine learning. Students learn the differences between supervised, unsupervised, and reinforcement learning, and explore how datasets are used to train and evaluate models. Hands-on exercises allow students to build, test, and refine simple machine learning models.

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Core Module 5: Data Science & Analytics

Students learn how data is collected, cleaned, analysed, and visualised to inform decision-making. Topics include basic statistics, data interpretation, and exploratory analysis, helping students understand how data-driven insights power modern AI systems.

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Core Module 6: Robotics & Automation

This module introduces robotics and industrial automation, exploring sensors, actuators, control systems, and intelligent machines. Students are introduced to tools such as robot operating systems, simulations, and digital twins, concluding with a hands-on project programming and controlling a robotic arm to solve real-world challenges.

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Core Module 7: Human–Computer Interaction (HCI)

Students explore how humans interact with technology, focusing on usability, accessibility, and user-centred design. Topics include interface design, user testing, and ethical considerations in AI-driven systems.

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Capstone Project: AI Challenge

Students work in teams to design and present a solution to a real-world AI or technology challenge. The project integrates programming, data analysis, ethical reasoning, and presentation skills, culminating in a formal showcase.

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🏢 Sample Industry & Academic Visits

AI in Agriculture (AgriBot)

Students explore how AI-driven robotics, sensors, and data analytics are transforming modern agriculture, improving efficiency, sustainability, and food security.

Mixed Reality & Immersive Technologies

Students engage with immersive simulations demonstrating how mixed reality is applied in engineering, medicine, design, and education, highlighting the future of human–technology interaction.

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🏠 Accommodation – Garden Halls (UCL)

Residential students stay in single ensuite rooms at Garden Halls.

Features Include:

• Full board (breakfast, lunch, dinner)

• Private ensuite rooms with desk and storage

• Cinema room, music and games rooms, landscaped gardens

• Wi-Fi, on-site laundry, and social spaces

• 24-hour onsite security and staffed reception

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🛡️ Safety & Supervision

• 24/7 accommodation security and medical resources

• Supervised movement to all activities and excursions

• Curfews, room checks, and clear conduct policies

• Dedicated on-site pastoral and academic staff

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✈️ Airport Transfer Assistance

Optional airport transfers are available to all London airports at an additional cost of £300 return (£150 each way).

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📜 Certification & Academic Outcomes

Students receive:

• Certificate of Completion

• Academic Report Card

• Letter of Recommendation from a university lecturer

• 12-month access to an academic resource database

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🎒 Day Students

Day students receive all programme elements except accommodation:

• All meals included

• Full weekday and weekend programme

• Academic teaching, activities, and excursions included

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🧳 What to Bring

• Laptop (essential)

• Weather-appropriate clothing (UK climate can be variable)

• Smart or formal attire for presentations and graduation

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📱 Mobile Phone Policy

Students are encouraged to use mobile phones constructively for research, coding tasks, project work, and academic activities. Usage is supervised and guided.