Luogo di studio	Italia, Torino
Tipo	Laurea Magistrale, a tempo pieno
Durata nominale	2 years. For each year of enrollment, students may choose between full-time or part-time status. Tuition fees vary accordingly. (120 ECTS)
Lingua di studio	inglese

Tassa scolastica	2.800 € all'anno For the academic year 2024/2025 the tuition fees ranged from 156€ to 2.800€ per year, depending on the student’s financial situation. For more information on the tuition fees for the a.y. 2025/2026, please refer to the dedicated webpage on our University portal. At the same page you’ll also be able to verify if you are eligible for a fee reduction or exemption.
Tassa di iscrizione	60 € una tantum Il contributo obbligatorio per l’invio della candidatura deve essere pagato entro le scadenze previste dalla finestra. L’importo del pagamento rimane invariato sia che si selezionino 2 corsi di studi o uno solo. L’importo non è rimborsabile.

Qualifiche di accesso

Diploma di Laurea (laurea di primo livello) You must hold a first-cycle degree (i.e. bachelor’s degree), gained after at least 3 years of University education, in either Mathematics, Statistics, or Physics. You will also need to meet specific admission requirements and demonstrate a suitable academic preparation and a solid background. See Admissions for details and for a suggested syllabus. I documenti di studio sono accettati nelle seguenti lingue: inglese / francese / italiano / spagnolo. Se i documenti sono rilasciati in una lingua diversa da quelle precedentemente elencate, oltre all’originale è necessario allegare la traduzione ufficiale certificata.

Requisiti in base al territorio	This degree program has 50 available places for non-European applicants residing abroad.

Requisiti linguistici	inglese Your knowledge of the English language (at least B2 level) will be verified during the admission procedure.

Altri requisiti	È necessario aggiungere una lettera di motivazione alla propria candidatura.

Maggiori informazioni	master-sds.unito.it

Panoramica

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.