Strand Campus
Strand Campus sits along the Thames at London's cultural heart. Alongside world-class teaching spaces, students enjoy access to the pedestrianised Strand Quad, with Somerset House and iconic landmarks just steps away.
Overview
Our BSc in Artificial Intelligence will provide you with a comprehensive and cutting-edge understanding of AI theory and practice. AI significantly affects people’s lives, and it is encountered in more and more of our daily activities. These include activities such as using smart devices, digital voice assistants, and travel aids, as well as banking online or receiving personalised recommendations about movies to rent.
Our programme is structured around AI's core dimensions, including the foundations of AI, data science and Machine Learning. You’ll study reasoning, interactions and autonomous agents including robotics. You'll also gain a deep understanding of the ethics and philosophy of AI and its shifting role in society through exploring the social, legal, and professional dimensions. Throughout your degree, you’ll apply your skillset to tackle complex projects inspired by real-world industry problems. This could include working with an external company on developing a tech solution to an industry problem in your third year.
You can also choose to study for our integrated Master’s course (MSci), adding a fourth year to your degree during which you’ll undertake a substantial project. You can either choose from a wide range of advanced topics in cutting-edge computer science, or join our unique programme with Amazon Web Services, working as a team to deliver innovative digital solutions that leverage AWS technology for public sector clients.
Accreditation
This degree has been accredited by BCS, the Chartered Institute for IT. Accreditation is a mark of assurance that the degree meets the standards set by BCS. An accredited degree entitles you to professional membership of BCS, which is an important part of the criteria for achieving Chartered IT Professional (CITP) status through the Institute. Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.
Key benefits
- 6th in the UK for Artificial Intelligence & Data Science (QS World Rankings by subject 2026).
- Gain real work experience as part of your degree, working with companies such as IBM, Terranova Software and Aerogility to design solutions to current industry needs, boosting your employability and expanding your networks.
- Our central London location is close to top, global AI companies, such as Google and Amazon, and gives unparalleled access to leading scientific societies, including the Chartered Institute for IT (BCS) and the Institution of Engineering and Technology (IET).
- 6th in the UK for producing the most employable graduates (Times Higher Education Graduate Employability rankings 2026). You'll study a wide-range of innovative modules, covering both the theory and practice of modern AI, giving you a solid platform for employability and/or further study/research.
- Access to Mistral AI's Le Chat – a platform that lets you customise and deploy your own AI models for coding, writing and problem-solving.
- A thriving culture of student societies covering tech, game development, women in computer science, robotics and more, with regular hackathons, careers panels, talks, and social activities.
- You'll interact with world-class experts in many exciting areas of AI, including Safe and Trusted AI, Trusted Autonomous Systems, Distributed AI, and Reasoning and Planning.
Course essentials
AI is increasingly reliant on leveraging the widespread availability of (often very large) datasets that encode relationships between data inputs to decision making processes, and the outcome of these processes, so that AI applications can enhance human decision making in a wide variety of everyday tasks (e.g. recommender systems) and specialised tasks (e.g., deciding on legal litigation risks, decisions in business/logistics planning, or decisions based on interpretation of visual data such as diagnostic scans in medicine), as well as AI applications that autonomously make and implement decisions (e.g., robots that need to sense their environment and plan actions).
These applications require expertise in a broad range of Artificial Intelligence dimensions.
By studying Artificial Intelligence at King’s, you will join a vibrant and diverse community of students and staff from all over the world, exploring fundamental scientific questions and responding to key societal challenges. We delve into everything from software systems, AI, and human-centred computing, to sustainability, quantum and cryptography, as well as the societal impact of these technologies.
The BSc in Artificial Intelligence will allow you to understand the underlying principles of these dimensions, including:
• Foundations of AI (e.g., programming, discrete mathematics, algorithm design)
• Data Science and Machine Learning (e.g., natural language processing, human-AI interaction)
• Knowledge Representation, Reasoning, and Interactions (e.g., data visualisation, knowledge engineering, formal verification)
• Optimisation, Planning and Autonomous Agents (e.g., autonomous robot programming, logic, network optimisation)
• Ethics and philosophy of AI (e.g., legal, social, ethical and professional issues in AI and in robotics system development, philosophical work on the impact and on dangers of AI)
• AI Engineering (e.g., internet and web systems, cloud-based services, AI security and privacy)
It will also provide you with the background knowledge and skills required to become a successful AI professional able to work in a range of exciting roles ranging from big data engineer to robotics engineer.
You will not only be taught by world-experts in their field, but study alongside pioneering students who are researching and developing cutting-edge technologies, with many of our students going on to found start-ups.
Your first two years of the course are designed to equip you with in-depth knowledge and hands-on skills across core computer science fields, including computer systems, databases, AI, software engineering and logic. You'll become proficient in programming languages through our world-class teaching, gaining not just fluency in a range of languages but a deep understanding of programming principles, enabling you to work with multiple languages, including those of the future. Practical hardware modules will also give you the skills to work with electronics, from circuit boards to programming microprocessors.
From your third year you can tailor your degree to your own interests, choosing from a wide range of modules including on robotics, data science, information security, machine learning and human-centred computing.
A key focus of our course is on project work, applying your learning to a range of real-world problems, developing key skills and confidence for your future profession. This includes in your third year, developing a software system as part of a team. For your third year, you can choose to tackle a project with one of our research groups or solve an industry problem, working as part of a team to develop software solutions in for our partner companies who span sectors from computing and law to aviation and government.
You will also have the opportunity to transfer to the study abroad pathway and spend your 3rd year at a partner institution before returning to King’s for your final year. This depends on you reaching a certain grade average and being accepted by a Partner University.
Special features
Optional study abroad
Key Information
UCAS code:
G700
Course type:
Single honours
Delivery mode:
In person
Study mode:
Full-time
Required A-Levels:
A*A*A
Duration:
3 years
Application status:
Start date:
September 2026
Application deadline:
Administrative bodies
Course accreditation
Reviewed, inspected and accredited by the BCS
Regulating body
Base campuses