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Info 2023/2024

Degree type
Bachelor degree course
Duration and credits
Free access
Teaching mode
Taxes and fees
From 0 to 3000 euros per year. Find out if you are entitled to scholarships and exemptions
International partnerships
Student exchange
Head of programme
To learn more about the Course visit the dedicated section
Degree programme table a.y. 2023/2024
Degree programme plan 2023/2024
Degree regulations 2023/2024

Course video

The course in brief


The course trains professionals with statistical, computational and mathematical skills. In fact, the conscious analysis of data and the construction of interpretive models of reality require today more than ever tools peculiar to mathematics and computer science.

The acronym for the course name is SMID.

Learning by doing

  • Collection, organization, computer analysis and interpretation of data from the first year
  • Fundamentals of mathematics for statistical analysis and modeling
  • Courses taught by outside professionals
  • Internships in companies, in Italy or abroad
  • Thesis based on case studies

Professional outlets

The statistician is among the most in-demand jobs in the world: in biomedical, pharmaceutical, industrial, banking, insurance, for market research, land management, in statistical networks.

Approximately half of graduates work immediately, the other half go on to master's degrees.

What you will learn

  • statistica

    analisi esplorativa di dati, modellazione e previsione di fenomeni

  • matematica

    fondamenti matematici per analizzare e modellare dati

  • trattamento informatico dei dati

    organizzazione e gestione di data set

Did you know that.

  • La statistica nell'era del Data Science necessita di buone conoscenze matematiche e informatiche
  • Lo statistico è uno dei mestieri più richiesti nel mondo
  • Dopo la laurea puoi subito lavorare o proseguire gli studi con una laurea magistrale o un master all'estero
  • Chi vuole entrare subito nel mondo del lavoro, trova il primo impiego in media entro 3 mesi dalla laurea
  • SMID e il DIMA organizzano eventi e conferenze per tutti
  • Statistica, Scienza dei Dati e Big Data (documento della Società Italiana di Statistica)


Statistics is a classical discipline that takes on a new connotation in the age of Data Science. Mathematics and computer science are essential tools for the informed analysis of data and the construction of interpretive models of reality that are useful to decision makers. The integrated study of these three disciplines makes the degree course multidisciplinary and professional and allows for the in-depth study of classical and modern tools.

The following are planned:

  • computer-based training activities based on case studies and writing reports on the analyses carried out, which are evaluated both for the mathematical-statistical methodologies used and for mastery of expository techniques
  • training activities designed and conducted in collaboration with experts from companies, public administration facilities and research and development laboratories
  • a mandatory internship and a final examination often based on case studies
  • study stays at other Italian or foreign universities to take courses, conduct the internship or the final test.

Given the evolution of science and technology, training gives ample space to methodological aspects, so that graduates know:

  • acquire and process new knowledge including through reading and understanding technical texts and articles and through interdisciplinary and group activities
  • adapt behaviors and thought patterns according to context
  • adapt to changes and emergencies, avoiding obsolescence of acquired skills.


            <div>Ernesto De Vito</div>

I welcome you to the SMID Course with a quote from David Mumford, one of the great contemporary mathematicians. 'Probability and Statistics will come to be viewed as the natural tools to use in mathematical as well as scientific modeling. The intellectual world as a whole will come [...] to view statistics as the standard way in which we reason and think' (1999).

Coordinatore del Corso

Where we are

Department of Mathematics - Dima
. Via Dodecaneso 35
16146 Genoa 

Success stories

Read more

Mathematics Department Orientation Committee
. Responsible
Emanuela Sasso

Referent for the graduate course in SMID
. Maria Piera Rogantin

Educational Secretariat
. Paola Bisio
Eloisa Cilona