CURRICULA

The DSS organizes curricula at the undergraduate and graduate levels classified (according to MIUR) in Statistics, Actuarial and Financial Sciences.

Undegraduate curricula (classification L-41)

Statistics, Economics and Society
Statistics, Economics, Finance and Insurances
Statistics for management

Graduate curricula

Statistical Sciences (classification LM-82) (New in a.a. 2018-19)
Actuarial and Financial Sciences (classification LM-83) (New in a.a. 2018-19)
Statistical Methods and Applications (classification LM-82) (New in a.a. 2018-19)
Data Science (classification LM-91)

The Data Science course organization is shared with other three departments: Computer Sciences, Computer, Control and Management Engineering, Electronic Engineering.

PhD and Master

The department shares responsibility of several Phd programs, in particular it organizes a Doctoral schools in statistical sciences. Further the departments  offers two Masters for graduate students:

Phd:
Full responsibility for : Doctoral School in statistical science, with 3 active curricula, Demography, Actuarial Sciences and Methodological statistics.
Collaboration: curriculum in Operational research of the Phd program "Automatica, Bioengineering and Operations Research" of the Control and Management Engineering department.
Collaboration: European phd program in  Socio-Economic and Statistical Studies at  SAPIENZA. The program is part of the international academic cooperation SESS-EuroPhD,coordinates by the  HUMBOLDT  university in Berlin.

Master:
Master in Data intelligence and decision-making strategies
Master in Big Data. Statistical Methods For The Knowledge Society