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Overview

Our integrated Master’s in Artificial Intelligence will provide you with a comprehensive and cutting-edge understanding of AI theory and practice. Designed to address the ever-evolving AI landscape, and with all modules underpinned by safe and trusted AI, you'll develop crucial analytical and practical skills, opening doors to a wide range of future-focused careers.

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 involve developing a tech solution for an external company in your third year, and taking part in our programme with Amazon Web Services (AWS) in your fourth year, where you’ll use software to develop a new product for a UK council or charity.

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 UK for Artificial Intelligence & Data Science (QS world subject rankings 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.
  • 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. Be trained in AWS software and receive mentorship from industry experts whilst working on projects for public sector and charity organisations that serve the community.
  • 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.
  • 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).
  • Benefit from King’s AI Institute’s vibrant events programme including the annual Festival of AI.

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.

The MSci 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.

By studying Artificial Intelligence at King’s, you'll 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. Our academics are at the forefront of developing the next AI systems as well as the principles to improve the safety and reliability of AI. Their research explores the use of AI in everything from driverless cars, drones and robots, to smart cities, energy systems and financial markets, as well as advancing the sustainability of AI models.

As an MSci student, you will learn from internationally recognised experts while becoming part of a community that is shaping the future of artificial intelligence and computer science. You'll study alongside ambitious students working on cutting-edge technologies, with many graduates going on to careers in leading technology companies, research organisations, and start-ups.

The first two years of the programme provide a strong foundation in artificial intelligence and computer science, combining theoretical understanding with practical experience. You will study topics including machine learning, algorithms, data science and AI engineering, developing advanced programming skills and a deep understanding of the principles that underpin modern software development preparing you to work confidently with both current and emerging technologies.

Project-based learning is central to the programme. Throughout your studies, you will apply your knowledge to real-world challenges through practical laboratories, coursework, and collaborative projects.

From your third year, you can tailor your degree to your own interests through a wide range of optional modules, allowing you to explore specialist areas aligned with your academic and professional ambitions. You can undertake a project with one of our research groups or work with an industry partner to solve a real-world problem, gaining valuable experience across sectors including technology, government, law and aviation.

In your fourth year, you will engage with the latest developments in AI, exploring emerging research and advanced applications from across the world.

A defining feature of the MSci is the fourth-year major project. Over six months, you will tackle an advanced challenge in computer science or artificial intelligence, developing specialist expertise and independent research skills. Alternatively, you can join our unique collaboration with Amazon Web Services (AWS), working as part of a team to design innovative digital solutions for public sector organisations using AWS technologies.

Through these experiences, you will develop the technical knowledge, creativity, leadership, and problem-solving skills needed to make a meaningful impact in a rapidly evolving field. Whether your ambition is to advance AI research, develop innovative technologies or use computing to solve global challenges, this MSci will equip you with the expertise and experience to achieve your goals.

Key Information

UCAS code:

G703

Course type:

Single honours

Delivery mode:

In person

Study mode:

Full-time

Required A-Levels:

A*A*A

Duration:

4 years

Application status:

Start date:

September 2027

Application deadline:

Administrative bodies

Course accreditation

Image text: BCS Accredited Degree

Reviewed, inspected and accredited by the BCS

Awarding body

King's College London

King's College London and Affiliates

Regulating body

Base campuses

A quad courtyard, with people queuing at a van selling coffee, and chatting in conversation

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.

Waterloo - students walking outside Franklin-Wilkins building

Waterloo Campus

Centrally located and well connected, Waterloo brings together students from health, science and law, just steps from the South Bank. It's also home to the world's #2 nursing school – the Florence Nightingale Faculty of Nursing & Midwifery (QS 2026).