Tassa scolastica 2.800 € all'anno

Per l’anno accademico 2020/2021 l’importo del contributo studentesco era compreso tra 156€ e 2.800€ all’anno.
Per informazioni sul contributo previsto per l’anno accademico 2021/2022 consulta la pagina dedicata sul portale di Ateneo.
Alla stessa pagina potrai verificare come richiedere una riduzione o un esonero dal contributo studentesco per l’anno accademico 2021/2022.

Tassa di iscrizione 15 € una tantum

The application fee has to be paid within the deadline of each call. The amount of the application fee is the same wheter you decide to apply for 1 or 2 degree programmes.

Maggiori informazioni



The Master’s Degree in Stochastics and Data Science aims at preparing students with a solid and modern education in probabilistic and statistical methods. Core topics will be advanced methodologies and techniques that are nowadays required tools for performing mathematical modelling and analysis under uncertainty (Stochastics) and for analysing and being able to interpret high-dimensional and complex data structures (Data Science). The emphasis of the course topics will be both theoretical and oriented towards computation and applications, providing not a “book of recipes” but the capability of discerning, combining and applying the most useful and modern methods available in Probability and Statistics.

The Master’s Degree in Stochastics and Data Science draws inspiration from the best graduate programs in Data Science recently started in the USA and Europe, and is currently the only offer of this type in Italy.

Sbocchi professionali

Gaining solid skills related to the above outlined topics will enable to deal with and model data collected in a variety of disciplinary fields by exploiting a deep mathematical understanding of the underneath structures. Graduates in Stochastics and Data Science will have a solid knowledge in key topics from Applied Mathematics, Probability and Statistics combined with computational skills essential for modern interdisciplinary applications. Such preparation allows to use this theoretical knowledge for concrete tasks, for example for: autonomously formulating complex probabilistic models for describing static and dynamic phenomena of interest; developing the necessary mathematical and statistical tools for their analysis; using these models together with sets of available data to perform estimation, forecasting and uncertainty quantification of phenomena under study; designing and implementing computational strategies in the form of algorithms for concretely carrying out the statistical procedures.

Such skills are nowadays highly demanded in a variety of professional environments, both in the private and in the public sector.

Alternatively, those more interested in proceeding with PhD studies, will have gained a solid background which allows to enter programs in Statistics, Mathematics, Applied Mathematics, Operations Research, Computer Science, Economics and Mathematical Finance, among other topics.

Al momento non disponibile per candidature

Le scadenze per le candidature valgono per i cittadini di: Stati Uniti

Al momento non disponibile per candidature

Le scadenze per le candidature valgono per i cittadini di: Stati Uniti