The University of Pavia, founded in 1361, is one of the world’s oldest academic institutions. Today almost 24,000 students, from both Italy and overseas, study at our University. Pavia, as a city-campus, offers students a unique experience in Italy and rare in Europe: to stay at one of 20 University colleges. Pavia is a city in northern Italy with 70,000 inhabitants located 30 km south of Milan, connected by regional and suburban trains every 10 minutes. Life in Pavia is both pleasant and affordable, particularly in comparison with much higher housing and living costs in Milan and other urban centres in Lombardy. Pavia’s campus offers a unique university experience to students who can enjoy countless events, festivals, exhibitions, concerts and sport activities, at all levels.
The PhD in Mathematics arises from the coupling of the courses already active at the Universities of Milano-Bicocca and Pavia with the ambition, thanks to the contribution of the Istituto Nazionale di Alta Matematica (INdAM), to become a point of reference at national and international levels.
The PhD program in Mathematics is promoted, supported and organized by the Departments of Mathematics of the Universities of Milano-Bicocca and Pavia and by the INdAM. In the Faculty, some researchers come from the Istituto di Matematica Applicata e Tecnologie Informatiche (IMATI) of the CNR (Pavia and Milan) and from the Universities of Brescia Cattolica, Brescia, Milano Bocconi, Parma and University of Surrey in UK.
The PhD program is aimed primarily at graduates in mathematics, physics, engineering, statistics and economics, with quantitative address, and aims to train researchers in the advanced fields of Mathematics.
Here is the “dynamic” home page of the PhD program in Mathematics:
The main career opportunities offered by the PhD in mathematics are the following:
1. career at universities and at public and private research institutions, both in Italy and abroad;
2. employment with banks and insurance companies;
3. work in industries to carry out research, modelling, data analysis etc .;
4. employment with consulting and information technology companies;
5. statistical and financial consulting activities as freelance.
For a description of research interests of departments and teachers involved see the web sites of the two Departments: