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

A.A. 2026/2027 A.A. 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
9
B
IUS/04
6
B
SECS-S/03
One module to be chosen between the following
6
B
SECS-P/03
6
B
SECS-P/03
Two modules to be chosen among the following
9
B
SECS-P/07
9
B
SECS-P/07
9
B
SECS-P/07
5
F
-

2° Year  It will be activated in the A.Y. 2026/2027

ModulesCreditsTAFSSD
9
C
IUS/12
6
B
SECS-P/11
One module to be chosen between the following
6
B
SECS-P/12
6
B
SECS-P/02
Two modules to be chosen among the following
9
C
SECS-P/07
9
C
SECS-P/07
9
C
SECS-P/08
Final exam
12
E
-
ModulesCreditsTAFSSD
9
B
IUS/04
6
B
SECS-S/03
One module to be chosen between the following
6
B
SECS-P/03
6
B
SECS-P/03
Two modules to be chosen among the following
9
B
SECS-P/07
9
B
SECS-P/07
9
B
SECS-P/07
5
F
-
It will be activated in the A.Y. 2026/2027
ModulesCreditsTAFSSD
9
C
IUS/12
6
B
SECS-P/11
One module to be chosen between the following
6
B
SECS-P/12
6
B
SECS-P/02
Two modules to be chosen among the following
9
C
SECS-P/07
9
C
SECS-P/07
9
C
SECS-P/08
Final exam
12
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
One module between the following:
- 1st year - Advanced international accounting - delivered in 2025/2026
- 2nd year - Business valuation - delivered in 2026/2027
9
B
SECS-P/07
9
B
SECS-P/07
Between the years: 1°- 2°
English B2
4
F
-
Between the years: 1°- 2°
12
D
-

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Business Statistics  (2025/2026)

Teaching code

4S00522

Teacher

Lidia Ceriani

Coordinator

Lidia Ceriani

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Period

Primo semestre LM dal Sep 29, 2025 al Dec 18, 2025.

Courses Single

Authorized

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

The course aims at providing participants with the knowledge of statistical tools useful for analysing business phenomena, both with reference to market dynamics and management aspects. The contents of the course are structured so as to broaden the participants' statistical knowledge and strengthen the awareness with which they apply the statistical methods to the business context. The course aims to provide the tools for understanding and contributing to all stages of the statistical production process: from the data collection stage and the integration of statistical sources of data, to the analysis and production of results and evidences useful for the decision-making process of firms. The applicative approach of the course favours the development of skills for analysing and interpreting business phenomena through a critical use of statistical methodology.

Prerequisites and basic notions

The following knowledge related to basic descriptive statistics and statistical inference is assumed to be acquired prior to the course by the students:
• Frequency distributions (univariate, bivariate, multivariate, frequency distributions in classes).
• Measures of central tendency (arithmetic mean, geometric mean, weighted mean, mean for frequency distributions in classes, median, mode, quantiles, and quartiles).
• Measures of variability (range, interquartile range, variance).
• Normal distribution.
• Point estimation (definition and properties of estimators, point estimation of the mean, proportion, variance).
• Interval estimation (mean, proportion, variance).
• Hypothesis testing (theory of tests, tests on the mean, tests on the variance, p-value).

Program

Part I — Introduction and Data Collection
1. Introduction to the Course and Data Sources
2. Elements of a Statistical Survey
3. Statistical Sampling (Part I)
4. Statistical Sampling (Part II)
5. Introduction to the Use of Statistical Software

Part II — Exploratory Data Analysis
6. Information Representation
7. Index Numbers and Statistical Ratios
8. Time Series

Part III — Predictive Analysis
9. Cluster Analysis
10. Statistical Quality Control
11. Linear Regression (Part I)
12. Linear Regression (Part II)
13. Categories of Multivariate Relationships (Introduction to the Problem of Causality)
14. Multiple Linear Regression (Part I)
15. Multiple Linear Regression (Part II)
16. Logistic Regression
17. Evaluation of the Goodness of Prediction
18. Main Errors in Statistical Analyses

Bibliography

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Didactic methods

Classroom lectures conducted with the support of teaching materials provided by the teacher (slides, exercises, etc.) and examples and exercises (also carried out with the aid of Excel and R software).

Learning assessment procedures

The Final Exam consists of a written test with various questions, which may address theoretical or methodological aspects, require the solution of exercises, or require discussion, commentary, and analysis of applied problems based on the knowledge acquired during the course. All topics presented in class by the instructor are an integral part of the assessment. Students are not permitted to consult notes, books, or electronic devices during the exam. The written exam must be taken in person, on the days and at the times specified in the course exam calendar. Only students who have registered for the exam through the dedicated virtual platform are eligible to take the written exam.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

The written exam is designed to assess the candidate's knowledge of the course content, mastery of technical language, clarity of presentation, ability to independently apply the statistical methods learned during the course, and ability to select the most appropriate statistical techniques for studying business phenomena, providing a correct interpretation of the results obtained.

Criteria for the composition of the final grade

Each question in the final exam will be assigned a score, for a total of 32, and the final grade will be the sum of the points obtained for each question.

Exam language

Italiano