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Our Artificial Intelligence MSc degree will give you a rigorous grounding in key aspects of AI theory and practice. Designed to address the ever-evolving AI landscape, and underpinned by an emphasis on safe and trusted AI, you'll develop the expertise to evaluate, design and build intelligent systems using an extensive range of tools and techniques. Designed for graduates or professionals with a technical background who are keen to transfer into the field of AI, the course is structured around AI's core dimensions, including the foundations of AI, data science and Machine Learning. You’ll also study reasoning, interactions and autonomous agents including robotics, and 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. You’ll also tackle a major project, applying your skills to a real-world problem. This can potentially be done in collaboration with an external company or public sector organisation, allowing you to develop a tech solution to an industry problem. This provides valuable experience and industry connections, preparing you for the next step in your career. Key benefits 5th in UK for Artificial Intelligence & Data Science (QS world subject rankings 2025). Possibility to 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 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). A thriving culture of student societies covering tech, games development, women in computer science, robotics and more, with regular hackathons, careers panels, talks, and social activities. Benefit from King’s AI Institute’s vibrant events programme including the annual Festival of AI.
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Faculty of Natural, Mathematical and Engineering Sciences
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A minimum high 2:1 undergraduate Bachelors (honours) degree with a final mark of at least 65% or aboveIf you have a lower degree classification, or a degree in an unrelated subject, your application may be considered if you can demonstrate significant relevant work experience, or offer a related graduate qualification (such as a Masters or PGDip).Programme specific requirementsA Bachelor's degree with a high (minimum of 65%) 2:1 honours (or international equivalent) in Computer Science or another relevant quantitative discipline (such as Mathematics, Statistics, Physics, Natural Science, Electronic Engineering, General Engineering, Operations Research, or a joint degree in two such subjects). Applicants should also have a sound background in basic mathematics, in particular familiarity with standard concepts of calculus, trigonometry, linear algebra, vectors and matrix mathematics. In addition, applicants should be competent in computer programming to the level expected at the end of the first year of a BSc honours degree in computer science.
