CUNJC Cambridge
Summer School
- AI
- Data Science
- Economics
- Finance
A two-week summer school in Cambridge for university students and recent graduates. Designed and taught by award-winning Cambridge academics. Choose one of eight courses in AI, Data Science, Economics or Finance. Work with real data, code in Python with AI as your partner, and build a full research project in a team of three. Leave with practical data skills, a certificate, and advice on postgraduate study and careers.
Apply by 1 January 2027 for 10% off
Apply by 31 March 2027 for 5% off
Apply by 30 June 2027, the final deadline
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When
18–31 August 2027
Two weeks in Cambridge; online prep course 5–9 July
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Where
Selwyn College
En-suite single or twin room, a short walk from the historic centre
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Who
Students, graduates
Aged 18+, aiming for a master’s or a data career
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Fees
From £4,900
Includes tuition, room, breakfast, a formal dinner, talks and the social programme
Why this summer school
Award-winning teaching
An official programme of a University of Cambridge centre, designed and taught by Cambridge academics recognised worldwide for their teaching.
Learning by doing
Learn modern methods in AI, Data Science, Economics and Finance by doing: coding and analysing data yourself, with our guidance. It’s how you learn best.
Team projects
Work in a team of three to answer a research question with real data, coding in Python with AI as your helper. Present your results on the last day.
Credit and certificate
Earn 7.5 ECTS (3–4 US credits), subject to your university’s approval, and an official certificate. Top performers can request recommendation letters.
What our 2026 students say
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“We learn a lot here, but the most important part isn’t the knowledge – it’s the memories and the experience. The summer school is a way to explore yourself: you find your interests and make friends. I think it’s really worth it.”
Zhiqian ChenInnovation and Entrepreneurship, Year 2Shandong University
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“Life at this summer school is very similar to life at Cambridge during term. Apart from the presentation at the end of the project, it’s very much how we learn.”
Lewis RedmanEconomics, Year 1University of Cambridge
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“I think this programme balances theory and practice really well, and teaches you how to put them together. The project showed me how to actually use the theory. So overall, I think it fully matched my expectations.”
Changhua QuanEconomics, Year 3Nanjing University
Choose your course
Four subjects, one Foundations and one Advanced course in each; you take one for the full two weeks.
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AI
How AI works and is used
- AI101, FoundationsApplied AI for Business and Management
- AI201, AdvancedDeep Learning and Large Language Models
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Data Science
From data to evidence
- DS101, FoundationsData Science for Economics and Business
- DS201, AdvancedMachine Learning for Prediction
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Economics
Economies, markets and AI
- EC101, FoundationsMacroeconomics in Theory and Practice
- EC201, AdvancedMicroeconomics and the AI Economy
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Finance
How markets price risk
- FI101, FoundationsFinancial Markets and Investment
- FI201, AdvancedQuantitative Finance with AI
Foundations: requires basic calculus and probability only Advanced: also requires linear regression, matrix algebra and some Python
Explore coursesHow each day works
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Morning · 09:00–12:00
Academic programme
A 90-minute lecture shows one method and the code behind it. Then, in a 90-minute practice class, you work through the code on new data.
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Afternoon · 14:00–17:00
Team projects
Each afternoon, your team of three applies the morning’s method to its own project. On the last day, you present your results.
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Early evening · 17:00–18:00
Professional development
Graduate applications workshops by Cambridge admissions officers, keynote talks from Cambridge academics, and careers Q&As with industry leaders.
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Evenings and weekends
Social programme
A welcome reception, a formal dinner and drinks with speakers; punting, college tours, a day trip to London and a graduation garden party.
Teaching awards
18–31 August 2027 • Selwyn College, Cambridge
Ready to join us?
From £4,900 with tuition, college room and events
- Priority deadline1 January 202710% off
- Early-bird deadline31 March 20275% off
- Final deadline30 June 2027
Apart from the knowledge I’ve gained, it’s the experiences I’ve had here: making new friends, taking part in a project from start to finish, and discovering new things in the UK. These memories are even more precious to me.
Zhenning XingHuman Resources ManagementYear 1 · Renmin University
What you need
- Aged 18+Students and graduates
- MathematicsBasic calculus and probability
- EnglishIELTS 6.5 or equivalent
- GPA3.2 / B+ recommended
Not ready yet?
Download our brochure to find out more
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