If you’re fascinated by how machines can think, learn, and solve problems, King’s College London’s BSc in Artificial Intelligence is your gateway to the future of tech. This hands-on, forward-thinking degree blends computer science, data, and ethics to prepare you for careers at the heart of AI innovation — from robotics to machine learning and beyond.
Curriculum Structure
Year 1
Your first year focuses on building a rock-solid foundation. You’ll dive into Logic and Knowledge Representation, Mathematics and Statistics for Artificial Intelligence, and Programming Practice and Applications — learning to think like both a computer scientist and an AI engineer. You’ll also explore Web and Internet Systems and Introduction to Robotics, giving you a taste of how AI operates in the real world.
Year 2
In your second year, the pace steps up as you apply your technical knowledge to more advanced challenges. You’ll study Machine Learning and Data Science, explore how algorithms can make intelligent decisions, and gain practical experience through larger coding and data projects. With optional modules like Cloud Computing for AI, you’ll start shaping your degree around your own interests — whether that’s automation, deep learning, or intelligent systems.
Year 3
Your final year is all about applying everything you’ve learned. You’ll take on a major individual or team project — often in collaboration with an external company — to develop a real solution for an industry problem. Alongside this, you can specialise with advanced modules in areas such as Autonomous Agents, Human-Centred Computing, or Information Security, setting yourself apart in the fast-evolving world of AI.
Focus Areas
Foundations of AI, Machine Learning & Data Science, Autonomous Agents & Robotics, Ethics & Social Implications of AI, Real-world Industry Projects
Learning Outcomes
By the end of the degree, you’ll be fluent in programming, confident with algorithms and data, and skilled in designing intelligent systems. You’ll also understand the broader social and ethical impact of AI, preparing you for both cutting-edge technical roles and leadership positions in the tech world.
Professional Alignment (Accreditation)
This course is accredited by the British Computer Society (BCS) — The Chartered Institute for IT — helping you work toward professional recognition as a Chartered IT Professional (CITP).
Reputation (Employability Rankings)
King’s is globally respected for its computing and AI research — ranked 5th in the UK for Artificial Intelligence & Data Science (QS 2025). It also ranks 6th in the UK for producing the most employable graduates (Times Higher Education Graduate Employability Rankings 2025).
At King’s, learning AI isn’t confined to textbooks — it’s about doing. From day one, you’ll work hands-on with code, data, and real-world systems, developing the technical and problem-solving skills that employers value most. You’ll have access to cutting-edge labs, digital tools, and collaborative projects that let you apply your knowledge to real challenges — preparing you to thrive in a fast-moving tech world.
Here’s how your learning experience comes to life at King’s:
Work with real companies in your final year, developing an AI or software solution to a genuine industry challenge as part of your major project — a great way to showcase your skills to future employers.
Get hands-on from the start in modules like Programming Practice and Applications, Introduction to Robotics, and Logic and Knowledge Representation, where you’ll code, build systems, and explore how machines think and learn.
Use advanced digital research tools through the King’s Digital Lab, which supports AI development, data analysis, and machine learning experiments in real-world research contexts.
Connect with innovators at the King’s Institute for Artificial Intelligence, a specialist hub that brings together students, researchers, and industry professionals for events, workshops, and collaborative projects.
Learn in modern computing labs at the Strand Campus, supported by expert technicians, and backed by the university’s world-class libraries and IT resources that help you take your ideas from concept to creation.
Graduating with a BSc in Artificial Intelligence from King’s sets you up for an exciting future in one of the world’s fastest-growing industries. You’ll leave with the technical expertise, creative thinking, and ethical awareness needed to make an impact in roles such as Data Scientist, AI Engineer, Machine Learning Specialist, or Robotics Engineer.
Here’s how King’s helps you turn your degree into a career you love:
Dedicated career support: The King’s Careers & Employability Service offers personalised guidance — from CV building and interview prep to tech-focused employer events, networking sessions, and mentorship opportunities through the Department of Informatics.
Strong graduate outcomes: Around 88% of King’s computing graduates are employed or pursuing further study within 15 months of finishing their degree, with average salaries of £28,000 after three years and rising to £33,500 after five years.
Industry connections that matter: King’s works closely with leading organisations like IBM, Aerogility, and Terranova Software, giving students opportunities to collaborate on real-world projects and gain experience that employers truly value.
Professional recognition: This degree is accredited by the British Computer Society (BCS), helping you progress toward professional status as a Chartered IT Professional (CITP) — a respected credential in the tech industry.
Excellent graduate prospects: Whether you want to join a start-up, a global tech firm, or an AI research lab, the mix of technical depth and hands-on experience at King’s ensures you’re ready to step confidently into your chosen field.
Further Academic Progression:
If you’re inspired to keep going, you can continue to postgraduate study with the MSc in Artificial Intelligence at King’s — or choose a related area such as Robotics, Data Science, or Human–Computer Interaction. You can also opt for the integrated MSci Artificial Intelligence pathway, adding an extra year focused on advanced research and industry collaboration.



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