Undergraduate Foundations of Artificial Intelligence

Summer School modules are designed to be intensive, intellectually stimulating short courses. They are taught by King’s academics in academic disciplines where King's has expertise. Classes are highly international, giving students an opportunity to collaborate with peers from all around the globe.

This module is for students who are studying a related subject during their undergraduate studies (i.e. mathematics, physics, engineering, sciences, computer science or medicine) .

Each module consists of 150 study hours, comprising 45 hours of intensive synchronous and asynchronous teaching, independent study and group work and is examined to university standards. Comparable to an in-semester 15-credit King’s undergraduate module and therefore typically awarded 3-4 US credits or 7.5 ECTS, many summer students ask their home institution to award them external credit for their King's summer module to use towards their degree programme when they return home.

Foundations of AI is an introductory course which explores the fundamental methods and mathematical framework underpinning Artificial Intelligence (AI). This course provides students with a deep understanding of AI technologies, including machine learning, neural networks, probability theory, game theory and logic programming.

Students will gain insights to the potential of AI in revolutionizing industries such as healthcare, finance, sustainability, and transportation. They will explore how AI can automate tasks, make predictions, and assist in decision-making.

The course will also emphasize the limitations and challenges of AI technologies. It covers issues related to bias and fairness in AI algorithms, the need for responsible AI development, and the computational limitations of AI methods.

By the end of the module, students should have:

• A well-rounded understanding of AI and its immense potential

• An understanding of the critical need to navigate its limitations responsibly

• Skills to contribute to the development and deployment of AI technologies.

The King's College London Undergraduate Summer School is open to students who are currently, or have been, enrolled in an undergraduate degree programme. We also welcome applications from professionals who have substantial relevant experience in their chosen subject area.

Entry requirements

• This module is for students who are studying a related subject during their undergraduate studies (i.e. mathematics, physics, engineering, sciences, computer science or medicine) . We also welcome applications from professionals who have substantial relevant experience in their chosen subject area.
• A foundation in programming and coding is required prior to the start of the course. Background in Python and a basic understanding of algorithmics and/or algebra is expected. As part of the course, students will have to complete a mini-module before they arrive on campus. This will be provided asynchronously by the Summer Programmes tutors. If you have any questions about this, please contact summer@kcl.ac.uk. 
• Minimum grade requirement of 2:1 degree equivalent. See International grade equivalents on our Undergraduate Summer School homepage, under Entry requirements.
• English language requirement of at least level C1 in the Common European Framework of Reference for languages (CEFR). See full English Language requirements on our Undergraduate Summer School homepage, under Entry requirements.
• Minimum age at the start of the course is 18 years old.

Quizzes (40%), Group project (60%) - to be confirmed by the academic

Taught on-campus any time between the hours of 9am and 6pm from Monday to Friday. 

*Early application discount: prices apply for applications received by 23:59 GMT on 14 February 2025. Subject to availability at the time of application. From 15 February 2025, the standard 2025 tuition fees apply.

As per the fees listed above, booking two sessions receives a discount. This discount cannot be used in conjunction with other discounts of promotions. Subject to availability at the time of application.

More information on our fees, entry requirements and residential package can be found on the Undergraduate Summer School homepage.

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