We are delighted to deliver this course in association with Cambridge Enterprise, an essential part of the University of Cambridge ecosystem, which supports the application of Cambridge research to drive meaningful social and economic impact. Students can choose from two different course tracks, Machine Learning+ or Data Science+, in which they will develop engaging, interdisciplinary projects under the guidance of industry-leading instructors. In summer 2025, this course will take place between Monday 11th August and Sunday 24th August.

Why study this course?

The AI+ (Machine Learning+ or Data Science+) course prepares university students to lead in the rapidly evolving world of artificial intelligence. AI is revolutionising industries - diagnosing diseases with bioinformatics, optimising financial markets, accelerating sustainable design and redefining creativity. This course goes beyond theory, equipping students with experience in developing projects that attend to real-world problems using AI and data science.

Guided by leading industry experts and professors at the University of Cambridge, students collaborate, innovate and explore indisciplinary links within their chosen track. The academic sessions focus on sharpening critical thinking and technical expertise, as well as empowering students to make a real impact. The course is equivalent to 6 European Credit Transfer and Accumulation System credits (ECTS) or 3 US credits.

To learn more about our partnership, please visit the Cambridge Enterprise website.

Project Selection 2025

• Biotechnology Engineering & Healthcare Technology
• Electronic Systems & Intelligent Devices
• Large Language Models & Generative AI
• AI in Diagnostics: Image Analysis & Bioinformatics
• Materials & Smart Design: Discovering Sustainable Options
• Nanotechnology & Intelligent Materials
• Reinforced Learning & Robotic Automation
• Big Data & Financial Technology
• Business Analysis & Entrepreneurship Innovation
• Humanities, Arts & Digital Creativity
• AI in Law: Automation, Ethics & Legal Analysis
• Quantitative Finance & Investment