|Type||Second cycle degree (Postgraduate), full-time|
|Nominal duration||2 years. The enrolment conditions, full-time or part-time is chosen year by year and accordingly changes tuition fee|
|Tuition fee||€2,800.00 per year
To obtain a reduction in the above amount you must have requested ISEE certification for financial aid.
First cycle diploma ( BA, Ungergraduate diploma)
To enrol in a second-cycle degree programme (i.e. master’s degree) with no admission quotas, you must hold a first-cycle degree (i.e. bachelor’s degree) of at least a 3 year-duration. You will also need to meet specific admission requirements and demonstrate adequate personal knowledge. At least 60 credits or 1/3 of the credits of the preceeding studies in one or more of the following areas (disciplinary codes for Italian degrees): Mathematics, Statistics and Mathematical Methods for Decisions, Econometrics, Computer Science, Physics.
The entry qualification documents are accepted in the following languages: Italian / English / French / Spanish.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
These documents shall be written or translated in one of the following languages: Italian, English, French, Spanish. If the document is issued in a different language from those listed above, you will have to upload both the original document and its certified translation.
You must take the original entry qualification documents along with you when you finally go to the university.
Your knowledge of Englisf language (level B2) will be verified during the admission interview.
A motivation letter must be added to your application.
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.
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.