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. 2016/2017

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  (2016/2017)

Teaching code

4S02514

Teacher

Luigi Grossi

Credits

9

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Period

Primo semestre Magistrali dal Sep 26, 2016 al Jan 13, 2017.

MoodleMoodle Seminars 0

Learning outcomes

The main goal of the course is to provide the students with the cutting-edge statistical theory on surveys. These tools will then be applied to carry out market research.

Program

1. Market researches:
- Definitions, aims and limits.
- Case studies related to market researches
- Statistical methods for market researches
- The main steps of a market survey.


2. Data sources for market surveys
- Primary and secondary information sources.
- Secondary informationn sources: internal and external
- Official statistical data.
- Main databases for marketing research(Infocamere, Cerved, AIDA, ecc.)
- Agency data (GfK-Eurisko, ACNielsen Italia)
- Panel surveys


3. Random and non-random sampling designs
- Review of estimation theory
- Definition of sampling design
- Random sampling designs
- Non random sampling designs
- Sampling and non-samplig errors

4. Questionnaire construction and interviewing techniques.
- Self-amministered questionnaires
- Assisted interview
- Computer assisted personal interview
- Web interview

5. The mutiple regression model for marketing and sales forecasting
- Simple regression model : definition and hypotheses
- Parameter estimation and tests
- Residual analysis
- Goodness of fitting
- Multiple regression model
- Estimation of trend using polynomial functions
- Polynomial degree choice
- Sales forecasting using the regression model


Suggested book
Bassi F. (2008), Analisi di mercato: Strumenti statistici per le decisioni di marketing (Edizione I), Carocci editore.

Reference texts
Author Title Publishing house Year ISBN Notes
Francesca Bassi Analisi di mercato: Strumenti statistici per le decisioni di marketing (Edizione 2) Carocci editore 2009 978-88-430-4427-6
B. Bracalente, M. Cossignani, A. Mulas Statistica Aziendale McGraw-Hill 2009

Examination Methods

Written exam. Oral exam is optional.

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