Upcoming events
Core-Stable Equilibria in Markers with Budget Constraints
Stefan Waldherr (Vrije Universiteit Amsterdam)
- Erasmus Econometric Institute Series
Futuring blockchain for good. Institutional work and prospected...
Paula Ungureanu (University of Modena and Reggio Emilia, Italy)
- ABRI Seminar (Vrije Universiteit)
Business cycle dynamics after the Great Recession: An Extended...
Catherine Doz (Paris School of Economics, France)
- Erasmus Econometric Institute Series
UvA Master's Week
Director of Graduate Studies, along with current students
VU Master’s Event
Title to be announced
Bruno Biais (HEC Paris, France)
- TI Finance Research Seminars
Title to be announced
Susan Athey (Stanford University, United States)
- Labor Seminars
EUR Master Open Day (hybrid)
Title to be annoucned
Lin Shen (INSEAD Fontainebleau, France)
- TI Finance Research Seminars
Econometric Game
Title to be announced
Vincent Maurin (HEC Paris, France)
- TI Finance Research Seminars
Title to be announced
Wei Wang (Queen's University, Canada)
- TI Finance Research Seminars
Research Workshop on Inference and Optimality in Econometrics
Keynote by Isaiah Andrews (Massachusetts Institute of Technology, United States). Bertille Antoine (Simon Fraser University, Canada), Ismael Yacoub Mourifie (Washington University in St Louis, United States), David Preinerstorfer (Vienna University of Economics and Business, Austria), Liyang Sun (UCL, United Kingdom), and Frank Windmeijer (University of Oxford, United Kingdom).
Title to be announced
Ian Martin (London School of Economics, United Kingdom)
- TI Finance Research Seminars
TI Econometrics Lectures 2025 on Asymptotic Optimality in Econometrics
Isaiah Andrews (MIT, United States)
- Econometrics Lecture Series
Open Days Graduate Program
Get acquainted with our Research Master program in Business Data Science at one of the open days:
- February 13, 2025 - UvA Master's Week (on campus)
- Saturday March 8, 2025 - VU Master’s Event (on campus)
- Saturday March 22, 2025 - EUR Master Open Day (hybrid)
Why study Business Data Science
Business Data Science is a two-year research master (120 EC) aiming to train future PhD students.
7 reasons to study Business Data Science:
- Challenging new research opportunities
- Jumpstart for PhD trajectory
- Focus on Data Science & Business
- Focus on preferred specialization
- Small scale close-knit program
- Scholarships and tuition waivers available
- Three leading universities
Student Experience
Are you more interested in Economics? If so, take a look at our partner research master program.
The Tinbergen Institute serves as a gateway to PhD positions for students who have completed TI’s Research Master's programs in Economics and Business Data Science. For PhD positions open to external candidates, please explore the job openings available at the affiliated schools or check the positions listed under vacancies.
Business Data Science
The Business Data Science (BDS) research master program at Tinbergen Institute is a joint initiative of the schools of economics and business of Erasmus University Rotterdam, the University of Amsterdam and Vrije Universiteit Amsterdam. Courses tie the foundations of data science directly to different business fields: management science, operations analytics, quantitative finance and accounting.