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.

• 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

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.

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.
   

Department of Mathematics - Dima
. Via Dodecaneso 35
16146 Genoa
https://bit.ly/2Omou5U 

ccs.smid@dima.unige.it

Mathematics Department Orientation Committee
. Responsible
Emanuela Sasso
sasso@dima.unige.it
webpage

Referent for the graduate course in SMID
. Maria Piera Rogantin
rogantin@dima.unige.it
webpage

Educational Secretariat
. Paola Bisio
bisio@dima.unige.it
Eloisa Cilona
cilona@dima.unige.it