Statistics and Mathematics
A.Y. 2026/2027
Learning objectives
· Provide the fundamental concepts of descriptive and inferential statistics for the organisation, analysis and interpretation of business data
· Introduce multivariate analysis methods to explore complex datasets and identify relevant relationships and structures in economic and business phenomena
· Present mathematical tools for modelling managerial and financial problems, with particular reference to optimisation methods
· Develop quantitative skills to support business decision-making processes through the combined use of statistical and mathematical tools
· Foster the ability to conduct a complete data analysis process and communicate results clearly and effectively for business decisions
· Introduce multivariate analysis methods to explore complex datasets and identify relevant relationships and structures in economic and business phenomena
· Present mathematical tools for modelling managerial and financial problems, with particular reference to optimisation methods
· Develop quantitative skills to support business decision-making processes through the combined use of statistical and mathematical tools
· Foster the ability to conduct a complete data analysis process and communicate results clearly and effectively for business decisions
Expected learning outcomes
· Apply descriptive and inferential statistics tools to organise data and draw well-founded conclusions on observed business phenomena
· Know and apply multivariate analysis methods to explore complex datasets and identify significant relationships among variables
· Solve optimisation problems and model business situations using appropriate mathematical and financial tools
· Independently conduct a complete statistical analysis process, from data collection and cleaning through to synthesis and interpretation of results
· Communicate the results of quantitative analyses clearly and accessibly, highlighting their significance and relevance for managerial decisions
· Know and apply multivariate analysis methods to explore complex datasets and identify significant relationships among variables
· Solve optimisation problems and model business situations using appropriate mathematical and financial tools
· Independently conduct a complete statistical analysis process, from data collection and cleaning through to synthesis and interpretation of results
· Communicate the results of quantitative analyses clearly and accessibly, highlighting their significance and relevance for managerial decisions
Lesson period: Open sessions
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Modules or teaching units
Data Management
STAT-01/A - Statistics - University credits: 6
: 10 hours
: 8 hours
: 22 hours
: 8 hours
: 22 hours
Mathematical Models for Business
STAT-04/A - Mathematical Methods for Economy, Finance and Actuarial Sciences - University credits: 6
: 10 hours
: 8 hours
: 22 hours
: 8 hours
: 22 hours
Professor:
Bartesaghi Paolo
Statistics for Business
STAT-01/A - Statistics - University credits: 6
: 10 hours
: 8 hours
: 22 hours
: 8 hours
: 22 hours
Professor(s)
Reception:
Friday, 8:30–11:30 (by appointment)
DEMM - Conservatorio Ed. 1 - floor 3 - room 31