Vai alla Homepage del Portale di Ateneo Second Cycle Degree/Two Year Master in Statistical Sciences

Overview

The international master in Statistical Sciences (CLAMSS) aims to train experts able to manage, analyze and interpret data in order to produce the knowledge required to support decision-making processes in private and public companies.

The master is organized in the following curricula:

- Data Science offers the methodological tools to analyze and interpret information and solve complex problems under uncertainty;
- Health and Population Analytics provides the skills for the analysis and prediction of socio-demographic and health phenomena;
- Official Statistics trains experts able to produce and analyze the official statistics at national and international level. This curriculum has been awarded the EMOS label by the European Statistical System Committee (ESSC).

Build your own future. This is what you can do with this degree.

5 reasons to enrol on the degree programme

It trains professionals and experts increasingly demanded by the labor market

It is the first International Master's Degree in Statistical Sciences (class LM-82 Statistics) totally taught in English in Italy

Its Faculty is composed by UNIBO professors with an international reputation and by international visiting professors

It offers 2 full years of high-quality academic activities, seminars and laboratories

It is characterized by an optimal student-staff ratio

My experience in the Degree Programme has been very positive! The Master offers a good balance between the theoretical contents and the focus on practical applications and I had the opportunity to tailor my study plan to best suit my interests. This course gave me the right background to start a PhD degree.

Marco Palma, graduate

The course in numbers

  • 81% International students and students not residing in the region

  • 71% Graduates aligned to the exam schedule

  • 33% Graduates with experience abroad

  • 82% Graduates satisfied with their studies

  • 60% Graduates who are working

  • 27% Graduates who are not working but are studying or not looking for work

  • 13% Graduates who are not working but looking for work

The labs

The teaching rooms

The library

Teaching building

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