Upcoming events
Econometrics and Data Science Methods for Business, Economics...
Faculty: Siem Jan Koopman (Vrije Universiteit Amsterdam and Tinbergen Institute) and Francisco Blasques (Vrije Universiteit Amsterdam and Tinbergen Institute)
thesis title to be announced
Stephanie van der Veen
thesis title to be anounced
Chao Liang
Title to be announced
Floris Holstege
Title to be announced
Andrei Zeleneev (University College London, United Kingdom)
- Econometrics Seminars and Workshop Series
Title to be announced
David Frazier (Monash University, Australia)
- Econometrics Seminars and Workshop Series
The Reshaping Work 2022 Conference
Keynote speakers: Meredith Whittaker (New York University, United States) and Benjamin Sachs (Harvard University, United States)
Title to be announced
Sukjin Han (University of Bristol, United Kingdom)
- Econometrics Seminars and Workshop Series
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
Learn more about our program here: www.businessdatascience.nl/graduate-program.
Want to learn more about the Business Data Science research master program?
Visit the (online) master events at the three universities participating in the Business Data Science research master program.
TI Econometrics Lectures 2022
Stéphane Bonhomme will give the Tinbergen Institute Econometrics Lectures 2022 on November 9-10, 2022. Bonhomme is the Ann L. and Lawrence B. Buttenwieser Professor of Economics at the University of Chicago, United States. Bonhomme specializes in microeconometrics.
More information will be shared on the TI webpage of the Lectures.
Business Data Science
The Business Data Science (BDS) research master program is a joint initiative of the schools of economics and business of the Erasmus University Rotterdam, University of Amsterdam and Vrije Universiteit Amsterdam. Courses connect data science techniques to different fields in the business discipline: entrepreneurship and innovation, finance, human resources and organization, marketing and logistics and supply chain. Courses are offered in both the Amsterdam and Rotterdam location.