PhD: Statistics Curriculum

The PhD in Statistics is part of the PhD programme in Mathematics, Computer Science and Statistics at the University of Florence.

It is a PhD in consortium between the Universities of Florence, Perugia and the “F. Severi” National Institute of High Mathematics, with three curricula:

  • Mathematics (referents: Matteo Focardi coordinator, DIMAI, Florence, matteo.focardi(AT); Daniele Angella, DIMAI, Florence, daniele.angella(AT); Alessandra Sestini, DIMAI, Florence, alessandra.sestini(AT); Gianluca Vinti, DMI, Perugia, gianluca.vinti(AT)
  • Computer Science (referent: Andrea Bondavalli, DIMAI, Florence, andrea.bondavalli(AT)
  • Statistics (refererent: Anna Gottard, DiSIA, Florence, anna.gottard(AT)

The curricula are separate but allow for important interdisciplinary connections.

For more information on the Mathematics and Computer Science curricula, visit the homepage of the PhD programme in Mathematics, Computer Science and Statistics.


See PhD programmes on the UniFI website.


Moreover, DiSIA support other PhD programs, collaborating in teaching and taking part in academic senate in:

DiSIA also take part to PhD Dottorato consortile sulla PA with Università degli Studi di Milano-Bicocca and  Università Cà Foscari di Venezia, and collaborates to the National PhD in Cybersecurity, currently on accreditation procedure.


There are a total of 17 places in the PhD programme in Mathematics, Computer Science and Statistics, 15 of which are on scholarships.

The Statistics curriculum offers

  • A three-year programme with courses at an advanced level in the following research areas:
    • Statistical models
    • Causal inference
    • Multivariate statistics
    • Statistical learning
    • Demographic and social models
    • Economic statistics
    • Computational statistics
    • Epidemiology
  • An internationally renowned teaching staff
  • A network of contacts with university institutions worldwide and an interest in various fields of application in the professional world


  • Master's or specialist degree from an Italian university or
  • an equivalent academic qualification from a foreign university

preferably in statistics, computer science, mathematics or other quantitative disciplines in economics and social sciences.

How to apply

Instructions for the 39th cycle:

Admission test programme

The exam consists of the evaluation of qualifications and an interview.
The candidate must submit a research project of up to 5,000 characters, excluding spaces, including bibliography and notes, which may be the subject of discussion and evaluation during the interview, and will contribute to ascertaining the candidate's aptitude for research.
The interview is aimed at ascertaining the candidate's basic preparation and research aptitude and may also include the discussion of the degree thesis, curriculum and any other qualifications presented by the candidate.

On this page you will find topics related to the basic preparation of the candidate.

PhD students in Statistics and Computer Science

Current PhD students and graduates of the PhD programme in Statistics and Computer Science can be found on the following page:

The PhD programme in Statistics and Computer Science and the pursuit of the previous PhD programme in Applied Statistics active until the 28th cycle (A.Y. 2012-2013):

Didactics of the Statistics Curriculum

The Statistics Curriculum is coordinated by Anna Gottard (anna.gottard(AT) Teaching and research are carried out both in Florence, at the DiSIA, and in Perugia, at the Departments of Economics and Political Science.

Calendar of lectures and seminars in Statistics

Educational offer (Dottorato di Ricerca in Matematica, Informatica, Statistica website)

Calendar of courses (on Google)

DiSIA Seminars

DiSIA Short Courses

Didactics of the Computer Science curriculum

The Computer Science curriculum is coordinated by Andrea Bondavalli (andrea.bondavalli(AT)

The teaching and research of this curriculum involve teachers of the INF/01 sector of DiSIA, DIMAI and the Department of Mathematics and Computer Science of the University of Perugia.

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