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    • Our Team
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    • Jobs
    • Contact
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Apply
  • AI+

  • AI+ Course

    Delivered in association with

    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 2026, this course will take place between Monday 10th August and Sunday 23th 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.

    Brochure

    Project Selection 2026

    • 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

  • "My most treasured experience in Cambridge was a conversation with a professor about the ethics of artificial intelligence....this dialogue had a profound impact on my academic pursuits."

    Carmen, Hongkong University

    AI+ (Data Science+) Graduate

  • Unlock Your Potential

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    Academic Excellence

    Our courses are taught exclusively by expert instructors affiliated with the University of Cambridge.

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    Global Collaboration

    Students engage with diverse cultural perspectives, situating their learning within a global context.

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    Project-Based Learning

    In small, collaborative groups, students work on real-world projects that integrate theory and practice.

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    Interdisciplinarity

    Our projects intertwine multiple disciplines for a more nuanced approach to academic challenges.

    Apply
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