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Summer school

Data Science in Finance

The Data Science in Finance Summer School bridges modern data science with empirical finance. Designed for students, researchers, and professionals, it offers a hands-on introduction to the methods and tools shaping financial analysis today.

Through two complementary courses participants learn to structure reproducible research, manage financial data efficiently, and apply machine learning and AI techniques to valuation, risk assessment, and portfolio analysis.

Combining academic rigor with practical coding sessions in Python and R, the program equips participants with the technical and analytical skills driving the future of finance.

Face-to-face

English

Program dates: June-July, 2026

Early Bird deadline: April 15, 2026

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Discover all of our Data Science in Finance Summer School Courses!

Summer School

Data Science in Finance

Data Science for Empirical Finance

Next edition: TBA

Summer School

Data Science in Finance

Large Language Models in Finance

Next edition: TBA

Who attends BSE Data Science in Finance courses?

Those courses are specifically aimed at:

Students, researchers, and professionals seeking to deepen their understanding of data science techniques and their use in empirical finance

Program Directors

Assistant Professor, UPF

Lorenzo Cappello

Assistant Professor, UPF

PhD in Statistics, Bocconi University

UPF and BSE

Filippo Ippolito

UPF and BSE

PhD, Saïd Business School (Oxford University)

Why study at BSE?

Top 3 Economic Research Department

Study with professors who produce top-ranking research in their fields.

World-renowned Faculty

Receive the highest quality training, with courses developed with students in mind.

Barcelona

One of Europe’s most popular cities, combine learning with culture for the best learning experience.

Why should you attend BSE Summer School?

All BSE Summer courses are taught to the same high standard as our Master’s programs.

1

Network with like-minded peers from around the world

2

Short courses allow you to learn without a big time commitment

3

Try something new, expand your knowledge and career prospects, and advance your thesis

Admissions Process

What do you need to be able to apply? See the admissions requirements below.

Program dates: June-July, 2026

Early Bird deadline: April 15, 2026

Requirements

Successful candidates will usually demonstrate one or more of the following in an application to our Summer School programs:

A strong background in Economics or a field closely related to the course topic (Statistics, Law, etc.)
Postgraduate degree or current Master’s/PhD studies related to the course topic
Relevant professional experience

Requirements for Data Science for Finance Summer School

Some knowledge of R and Python is advised to take full advantage of the school

Mix and match your summer courses!

Remember that you can combine Data Science in Finance Summer School courses with courses in any of the other BSE Summer School programs (schedule permitting). Maximise your learning this summer and take advantage of our multiple-course discount.

FAQ

Do you still have questions? Check out our FAQ section below! Or contact our Admissions Team.

Can I see the full Summer School calendar?

You can view the full Summer School calendar here.

How much does each Summer School course cost?

Fees for each course may vary. Please consult each course page for accurate information.

Are there any discounts available?

Yes, BSE offers a variety of discounts on its Summer courses. See more information about available discounts or request a personalized discount quote by email.