Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Study Plan

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea magistrale in Management e strategia d’impresa - Enrollment from 2025/2026

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

1° Year

ModulesCreditsTAFSSD
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
9
B
SECS-P/07
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING

2° Year  activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
Prova finale
15
E
-
ModulesCreditsTAFSSD
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
9
B
SECS-P/07
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
Prova finale
15
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S008094

Credits

6

Scientific Disciplinary Sector (SSD)

SECS-S/03 - STATISTICA ECONOMICA

Learning outcomes

The course aims to provide the basic knowledge for the collection, management and analysis of data of interest in the managerial field. Students' previous statistical knowledge will be integrated with the main statistical sampling techniques for data collection, some of the most widespread techniques for the analysis of time series data, the multiple linear regression, and the most recent techniques for data science in the business context. All these techniques will be discussed in specific areas of application: market research, customer analysis, management control, production process control, sales analysis and forecasting. Special attention will be devoted to some of the most widespread software for data science and business intelligence. At the end of the course, students should demonstrate a good level of understanding both theoretically and practically of the main statistical methods for the analysis of business phenomena, in the light of the available data and the managerial needs. They should also be able to interpret critically the gathered information and the results obtained from the analyses with the aim to supply useful suggestions in support of business decisions.

Educational offer 2024/2025

ATTENTION: The details of the course (teacher, program, exam methods, etc.) will be published in the academic year in which it will be activated.
You can see the information sheet of this course delivered in a past academic year by clicking on one of the links below: