The Costs of Non-Europe and the Accomplishment of the European Integration Project
Economic, Legal, and Political Opportunities and Hindrances. CefES International Workshop.
Department of Economics, Management and Statistics DEMS
The Mathematics of Subjective Probability 2023
We are pleased to announce the third workshop on The Mathematics of Subjective Probability Topics in Economics and Probability, which will take place at the University of Milano-Bicocca on September 11th - 13th, 2023.
Call for applications, Session II, for our PhD programmes out on 30 June 2023
The Department of Economics, Management and Statistics (DEMS) of the University of Milano-Bicocca invites applications to its PhD Programme in Economics, Statistics and Data Science (ECOSTATDATA) for the academic year 2023-24 (XXXIX cycle, Session II).
Milan Time Series Seminars (MiTSS)
The working group on time series in our department has kicked off, together with colleagues from the University of Milan and the Fondazione Eni Enrico Mattei, a series of seminars on the subject.
Other universities in Milan will be involved in the coming weeks.
All information can be found on the initiative's website.
DEMS Economics Seminar: Fabrizio Panebianco (Università Cattolica)
Wednesday, May 17 at 12:30 pm, DEMS Seminar Room 2104, Buiding U7-2nd floor
DEMS Economics Seminar: Francesco Amodio (McGill University)
Thursday, MAy 11 at 12pm, DEMS Seminar Room 2104, Buiding U7-2nd floor
DEMS Management seminar: Silvia Massini, Alliance Manchester Business School
Wednesday, May 17, at 12pm, DEMS Seminar Room 2104, Buiding U7-2nd floor
DEMS Management seminar: Carolina Castaldi, Utrecht University
Wednesday, May 3, at 12pm, DEMS Seminar Room 2104, Buiding U7-2nd floor
DEMS Economics Seminar: Andreu Arenas (University of Barcelona)
Wednesday, April 26 at 12pm, DEMS Seminar Room 2104, Buiding U7-2nd floor
Call for applications for our PhD programmes out on 21 March 2023
The Department of Economics, Management and Statistics (DEMS) of the University of Milano-Bicocca invites applications to its PhD Programme in Economics, Statistics and Data Science (ECOSTATDATA) for the academic year 2023-24 (XXXIX cycle, Session I).
The PhD Programme is articulated in three curricula, Economics (ECO), Statistics (STAT) and Big Data & Analytics for Business (BIDAB). The PhD Programme is four years long, starting in late October 2023 (the precise starting date will be announced in due course on the PhD website).