AI 101
AIIntroductory
Applied AI for Business and Management
How organisations put AI to work: choosing the right tools, testing them properly and measuring the payoff.
18–21 AUGUST 2027 • SELWYN COLLEGE, CAMBRIDGE
CUNJC Cambridge
Summer School
AIData ScienceEconomicsFinance
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, write Python code with AI as your partner, and build a project in a team of three. Leave with practical data skills, a Certificate of Achievement, and advice on postgraduate applications and careers.
Webinar 11 October 2026 11:00 GMT
Join our Academic Director live to find out more about our programme. Ask Questions. Get Answers.
Register nowMake our programme the highlight on your résumé this summer!
Entirely CambridgeHeld in Cambridge and taught exclusively by Cambridge academics, who design and run the programme from start to finish.
Award-winning teachingTaught by Cambridge professors, recognised worldwide with some of the highest distinctions in university teaching.
A full term in two weeks60 contact hours of lectures, classes, and guided team projects: the volume of a full-term Cambridge undergraduate course.
Eight coursesChoose from eight courses across AI, data science, economics and finance. Pick the one that fits your background and career.
Team projectsJoin a team of three on one project, applying each day’s classes to a real problem. Finish by presenting your results.
Real data, real codeEvery method is taught on real datasets in Python. You learn to clean data, build and test models, and judge when to trust them.
Who should applyStudents and graduates (18+) targeting graduate study or data careers. Requires basic calculus and probability, not coding.
College lifeStay at Selwyn College: en-suite rooms, formal dinners, college tours, punting, London trip and a graduation garden party.
Certificate & creditCertificate of Achievement; letters of recommendation for top performers. 7.5 ECTS, subject to your university approval.Teaching awards
Our teaching team’s many awards for teaching excellence and innovation include, most recently, the Senior Award for Exceptional Teaching from the European Economic Association (2026), the Pilkington Prize from the University of Cambridge (2026), the Encoura Eduventures Program Innovation Award (2026), Senior Fellowship of the Higher Education Academy from Advance HE (2026), and a bronze medal at the QS Reimagine Education Awards (2025).
How each day works
Academic programme
A 90-minute lecture demonstrates one method live on real data
A 90-minute class where you apply it to a new dataset
Classes of up to 18, with instructors on hand as you work
Team projects
One two-week project in a team of three, mentored by your instructors
Each afternoon, you apply the morning’s method in your project
A final presentation of your results on the last day of the programme
Professional development
Graduate applications workshops led by Cambridge admissions tutors
Keynote talks from Cambridge academics on current research
Careers Q&As with industry leaders in AI, economics and finance
Social programme
Life at Selwyn College: en-suite rooms and formal dinners
Punting, college tours and a day trip to London
A graduation garden party to close the programme
Choose your course
DS 101
Data ScienceIntroductory
Data Science for Economics and Business
How to tell correlation from causation, using regression, statistical inference and experiments on real data.
EC 101
EconomicsIntroductory
Macroeconomics and the Global Economy
How economies grow, fluctuate and respond to policy, from productivity and AI to inflation and public debt.
FI 101
FinanceIntroductory
Financial Markets and Investment
How stock markets price risk: returns, diversification, portfolio choice, the CAPM and factor models.
AI 201
AIIntermediate
Deep Learning and Large Language Models
Build neural networks and transformers from first principles, then train and fine-tune your own language models.
Also assumes: basic multivariable calculus
DS 201
Data ScienceIntermediate
Machine Learning for Prediction
Train predictive models, from regularised regression to trees and ensembles, and validate them well enough to act on.
Also assumes: introductory econometrics
EC 201
EconomicsIntermediate
Microeconomics and the AI Economy
Analyse how AI changes jobs, firms and competition, from automation and productivity to algorithmic pricing.
Also assumes: introductory economics
FI 201
FinanceIntermediate
Quantitative Finance with AI
Design and backtest trading strategies, and use AI, from machine learning to language models, to improve returns.
Also assumes: introductory finance
Key dates in 2027
1 January
Priority deadline: 10% off31 March
Early-bird deadline: 5% off31 June
Final application deadline5–9 July
Online preparation course18–31 August
Residential programmeProgramme brochure
Download the full brochure to discover how our summer school can transform your academic and career trajectory.
