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
9
B
SECS-P/08
6
B
SECS-S/03
6
B
SECS-P/12
6
F
-

2° Year   activated in the A.Y. 2017/2018

ModulesCreditsTAFSSD
9
B
SECS-P/08
9
C
SECS-P/08
9
B
SECS-P/07
9
B
SECS-S/03
9
C
SPS/07
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

Statistics & market research  (2017/2018)

Teaching code

4S02514

Teacher

Massimo Guerriero

Coordinator

Massimo Guerriero

Credits

9

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Period

Primo Semestre Magistrali dal Oct 2, 2017 al Dec 22, 2017.

Lessons timetable MoodleMoodle Seminars 0

Learning outcomes

Modern enterprise operates today in acontext that changes continuously and rapidly. Therefore it must be able to respond with careful analysis of the available data. That is why a particular space will be reserved for the big data theme.
The course, which is intended to be a theoretical guide but with many practical applications, aims to transfer the knowledge to the learners in order to be able to use the statistical tools typical of market research autonomously.

Program

1. Data sources.
2. Phases and classification of market research.
3. Research by sample.
4. Complex sampling plans.
5. Market decisions in uncertainty.
6. Error profile and data quality.
7. Questionnaire, assessment scales and contact techniques.
8. Classification, representation and analysis of market research data .
9. Qualitative research.
10. Big data.

Reference texts
Author Title Publishing house Year ISBN Notes
Andreina Mandelli Big Data Marketing (Edizione 1) Egea - SDA BOCCONI 2017
Amedeo De Luca Le ricerche di mercato Franco Angeli 2007 88-464-7266-7

Examination Methods

The exam will consist of a written and oral test (exercises and theory).

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