2nd cycle degree programme (ls) in
Statistical Sciences

Specific learning outcomes

The core teaching of this second cycle degree Course in Statistical Sciences consists of a sound critical knowledge of mathematical and statistical methods and of computing techniques. This is combined with various disciplines which are peculiar to the development of specific professional profiles, thus enabling graduates to operate at executive and managerial levels in private and state-owned organizations and institutions. This Degree Course will also enable graduates to progress to further study in master’s degree courses and PhD degrees.
This Degree Course can also satisfy the need for statistical preparation of graduates from other discipline classes, for those wishing to broaden their knowledge of the methods for managing uncertainty.
This Degree Course aims to train young professionals to manage in an integrated manner the steps of acquisition, modelling, analysis and interpretation of statistical data, both in experimental and observational contexts. In particular, this second cycle degree Course will train graduates for professions requiring those computing and statistical skills needed to construct complex empirical surveys and to shape various typologies of social and natural phenomena.

This Degree Course will provide

1. a thorough knowledge of statistical methods and of their applied implications in the fields of bio-health, epidemiology, ecology, environment, sociology and engineering;
2. a good command of logical, conceptual and methodological tools needed to plan experiments and of the operational aspects connected with the construction and implementation of statistical surveys in different fields;
3. an in-depth knowledge of the methods peculiar to operational research;
4. a good knowledge of the foundations for the use of data processing systems and of the problems related to the database creation, update and use;
5. fluency in both oral and written form of at least one language of the European Union besides Italian, also with reference to the languages for special purposes (LSP).