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. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021 A.A. 2019/2020 A.A. 2018/2019 A.A. 2017/2018 A.A. 2016/2017 A.A. 2015/2016 A.A. 2014/2015 A.A. 2013/2014 A.A. 2012/2013 A.A. 2011/2012 A.A. 2010/2011 A.A. 2009/2010

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 Marketing e comunicazione 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.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
9
B
SECS-P/08
9
B
IUS/04
6
B
SECS-P/01
6
B
SECS-S/03
6
B
SECS-P/12
9
B
SECS-P/08
6
F
-

2° Year   activated in the A.Y. 2014/2015

ModulesCreditsTAFSSD
9
C
AGR/01
9
C
AGR/01
9
B
SECS-P/08
9
B
SECS-P/13
9
B
SECS-P/12
15
E
-
activated in the A.Y. 2014/2015
ModulesCreditsTAFSSD
9
C
AGR/01
9
C
AGR/01
9
B
SECS-P/08
9
B
SECS-P/13
9
B
SECS-P/12
15
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
9
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  (2013/2014)

Teaching code

4S00522

Teacher

Coordinator

Credits

6

Also offered in courses:

  • Business Statistics of the course Master’s degree in Business Administration and Corporate Law

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Period

primo semestre dal Sep 23, 2013 al Jan 10, 2014.

Location

VERONA

Seminars 0

Learning outcomes

The course aims at providing students with the statistical tools for analyzing economic data from different areas of a firm, supporting the decision making process within a firm.

Program

1. Data sources.
1.1. Census and survey data.
1.2. Simple and composite index numbers with applications (consumer price indices, measures of inflation, deflating nominal economic values).

2. Descriptive statistics.
2.1. Measures of central tendency and dispersion with applications to business data.
2.2. The Lorenz curve and the analysis of customer concentration.
2.3. Statistical methods for customer segmentation.

3. Statistical inference.
3.1. Point estimation and confidence interval estimation with applications to business data.
3.2. Hypotheses testing for means and proportions with applications to business data.

4. Business forecasting.
4.1. Smoothing techniques (moving averages and exponential smoothing).
4.2. Delphi analysis.

Examination Methods

Prova scritta comprendente domande ed esercizi sugli argomenti trattati durante il corso.

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