Education Research Current Organisation and Cooperation NL
Login as
Prospective student Student Employee
Bachelor Master VU for Professionals
Exchange programme VU Amsterdam Summer School Honours programme VU-NT2 Semester in Amsterdam
PhD at VU Amsterdam Research highlights Prizes and distinctions
Research institutes Our scientists Research Impact Support Portal Creating impact
News Events calendar Energy in transition
Israël and Palestinian regions Women at the top Culture on campus
Practical matters Mission and core values Entrepreneurship on VU Campus
Organisation Partnerships Alumni University Library Working at VU Amsterdam
Sorry! De informatie die je zoekt, is enkel beschikbaar in het Engels.
This programme is saved in My Study Choice.
Something went wrong with processing the request.
Something went wrong with processing the request.

Econometrics and Data Science

Econometrics and Data Science

The Econometrics and Data Science department aims at pushing the academic frontier in methodology development for quantitative, statistical modeling of data, ranging from machine learning methods to more traditional statistical and econometric techniques.

Our Mission
We are driven by science with purpose, pushing the academic frontier by publishing at the highest level in the top international journals in our field. We like to collaborate with outside partners to link academic advancement with real world problems. Our teaching mission is to empower students with the methodological skills and continuing curiosity to contribute to solving today’s challenges in business and economics using the most up-to-date statistical and econometric tools. 

The department participates in the Tinbergen Institute, one of Europe's leading graduate schools and research institutes in economics, econometrics and finance.

Research

Contact

Secretariat

School of Business and Economics
De Boelelaan 1105
1081 HV Amsterdam

Quick links

Homepage Culture on campus VU Sports Centre Dashboard

Study

Academic calendar Study guide Timetable Canvas

Featured

VUfonds VU Magazine Ad Valvas

About VU

Contact us Working at VU Amsterdam Faculties Divisions
Privacy Disclaimer Veiligheid Webcolofon Cookies Webarchief

Copyright © 2024 - Vrije Universiteit Amsterdam