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CL Global Academy's

OxCam Programmes

Inspiring students to learn, innovate and lead.

Course Catalogue 2026

Welcome to OxCam Programmes! Our courses offer students the opportunity to immerse themselves in world-class education and experience the rich intellectual traditions of Cambridge.

Through innovative teaching approaches and enriching cultural activities, we empower students to think critically and foster international connections. As a testament to the high calibre of teaching provided, OxCam Programmes is recognised by the Universities and Colleges Admissions Service (UCAS), accredited by the British Accreditation Council (BAC) and featured in the UK Government’s UK All-Round Education Catalogue.

The following Course Catalogue offers an in-depth view of our academic courses, clarifying their themes, approaches and suitability for prospective students. We deliver two university-level courses, entitled AI+ (Machine Learning+ or Data Science+) and System Design & Engineering Thinking+, which allow students to apply their knowledge through practical experience and innovative projects. Our OxCam Research course is tailored towards younger students, between 13 and 18 years old, to inspire a passion for academic inquiry and equip them for the challenges of higher education.

Discover more about our courses below!

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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. This year, 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.

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
Brochure
“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

System Design & Engineering Thinking+

CL Global Academy is proud to partner with the University of Cambridge’s Department of Engineering to deliver this course each summer and winter. This year, it will take place from Monday 27th July to Sunday 9th 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 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
Brochure

“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

OxCam Research+

CL Global Academy is proud to partner with the University of Cambridge’s Department of Engineering to deliver this course each summer and winter. This year, it will take place from Monday 27th July to Sunday 9th 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 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
Brochure

“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

Academic Excellence

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

Academic Excellence

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

Academic Excellence

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

Academic Excellence

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

High School Programmes
Innovative project-based learning, with an interdiscilinary approach, for versatile undergraduate study.
High School Programmes
Innovative project-based learning, with an interdiscilinary approach, for versatile undergraduate study.
High School Programmes
Innovative project-based learning, with an interdiscilinary approach, for versatile undergraduate study.

Frequently Asked Questions

Our courses are interdisciplinary, meaning that students from a range of disciplines can take part and collaborate within their project groups. We recommend consulting the brochures for tailored suggestions in each field of study.

Our courses are interdisciplinary, meaning that students from a range of disciplines can take part and collaborate within their project groups. We recommend consulting the brochures for tailored suggestions in each field of study.

Our courses are interdisciplinary, meaning that students from a range of disciplines can take part and collaborate within their project groups. We recommend consulting the brochures for tailored suggestions in each field of study.

Our courses are interdisciplinary, meaning that students from a range of disciplines can take part and collaborate within their project groups. We recommend consulting the brochures for tailored suggestions in each field of study.

Our courses are interdisciplinary, meaning that students from a range of disciplines can take part and collaborate within their project groups. We recommend consulting the brochures for tailored suggestions in each field of study.

Our courses are interdisciplinary, meaning that students from a range of disciplines can take part and collaborate within their project groups. We recommend consulting the brochures for tailored suggestions in each field of study.

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Cambridge Academic & Research Programmes 2026

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