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.

Academic calendar

The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
Periodo generico Oct 1, 2022 May 31, 2023
Primo semestre (lauree magistrali) Oct 3, 2022 Dec 23, 2022
Secondo semestre (lauree magistrali) Feb 20, 2023 May 19, 2023
Exam sessions
Session From To
Sessione invernale (lauree magistrali) Jan 9, 2023 Feb 17, 2023
Sessione estiva (lauree magistrali) May 22, 2023 Jul 7, 2023
Sessione autunnale (lauree magistrali) Aug 28, 2023 Sep 22, 2023
Degree sessions
Session From To
Sessione autunnale Dec 5, 2022 Dec 7, 2022
Sessione straordinaria riservata MS e MCI Feb 24, 2023 Feb 24, 2023
Sessione invernale Apr 4, 2023 Apr 6, 2023
Sessione estiva Sep 5, 2023 Sep 7, 2023

Exam calendar

Exam dates and rounds are managed by the relevant Economics Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.

Exam calendar

Should you have any doubts or questions, please check the Enrollment FAQs

Academic staff

B C D F G M P R S T V Z

Beretta Zanoni Andrea

symbol email andrea.berettazanoni@univr.it symbol phone-number 045 802 8691 (VR) 0444 393931 (VI)

Bertoli Paola

symbol email paola.bertoli@univr.it symbol phone-number 045 8028 508

Bonfanti Angelo

symbol email angelo.bonfanti@univr.it symbol phone-number 045 802 8292

Bottiglia Roberto

symbol email roberto.bottiglia@univr.it symbol phone-number 045 802 8224

Bracco Emanuele

symbol email emanuele.bracco@univr.it symbol phone-number 045 802 8293

Cantele Silvia

symbol email silvia.cantele@univr.it symbol phone-number 045 802 8220 (VR) - 0444 393943 (VI)

Cassia Fabio

symbol email fabio.cassia@univr.it symbol phone-number 0458028689

Chiarini Andrea

symbol email andrea.chiarini@univr.it symbol phone-number 045 802 8223

Cicogna Veronica

symbol email veronica.cicogna@univr.it symbol phone-number 045 802 8246

Cobelli Nicola

symbol email nicola.cobelli@univr.it symbol phone-number 0458028295

Confente Ilenia

symbol email ilenia.confente@univr.it symbol phone-number 045 802 8174

De Mari Michele

symbol email michele.demari@univr.it symbol phone-number 045 802 8226

Fiorentini Riccardo

symbol email riccardo.fiorentini@univr.it symbol phone-number 0444 393934 (VI) - 045 802 8335(VR)

Florio Cristina

symbol email cristina.florio@univr.it symbol phone-number 045 802 8296

Fratea Caterina

symbol email caterina.fratea@univr.it symbol phone-number 045 842 5358

Goldoni Giovanni

symbol email giovanni.goldoni@univr.it symbol phone-number +390458028792

Matteazzi Eleonora

symbol email eleonora.matteazzi@univr.it symbol phone-number 045 8028741

Melchiori Massimo

symbol email massimo.melchiori@univr.it

Minozzo Marco

symbol email marco.minozzo@univr.it symbol phone-number 045 802 8234
eug1,  August 31, 2018

Peluso Eugenio

symbol email eugenio.peluso@univr.it symbol phone-number 045 8028104

Pilati Andrea

symbol email andrea.pilati@univr.it symbol phone-number 045 802 8444 (VR) - 0444 393938 (VI)

Rossignoli Cecilia

symbol email cecilia.rossignoli@univr.it symbol phone-number 045 802 8173

Signori Paola

symbol email paola.signori@univr.it symbol phone-number 0458028492

Stacchezzini Riccardo

symbol email riccardo.stacchezzini@univr.it symbol phone-number 0458028186

Toniolo Sara

symbol email sara.toniolo@univr.it symbol phone-number 045 802 8683

Vernizzi Silvia

symbol email silvia.vernizzi@univr.it symbol phone-number 045 802 8168 (VR) 0444 393937 (VI)

Zago Angelo

symbol email angelo.zago@univr.it symbol phone-number 045 802 8414

Zardini Alessandro

symbol email alessandro.zardini@univr.it symbol phone-number 045 802 8565

Zoli Claudio

symbol email claudio.zoli@univr.it symbol phone-number 045 802 8479

Study Plan

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
1 module between the following
1 module between the following
English B2
4
F
-

2° Year  activated in the A.Y. 2023/2024

ModulesCreditsTAFSSD
1 module between the following
1 module between the following
1 module between the following
Stage
5
F
-
Final exam
15
E
-
ModulesCreditsTAFSSD
1 module between the following
1 module between the following
1 module between the following
1 module between the following
English B2
4
F
-
activated in the A.Y. 2023/2024
ModulesCreditsTAFSSD
1 module between the following
1 module between the following
1 module between the following
Stage
5
F
-
Final exam
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

Type D and Type F activities

SOFT SKILLS  

Find out more about the Soft Skills courses for Univr students provided by the University's Teaching and Learning Centre: https://talc.univr.it/it/competenze-trasversali 

CONTAMINATION LAB 

The Contamination Lab Verona (CLab Verona) is an experiential course with modules on innovation and enterprise culture that offers the opportunity to work in teams with students from all areas to solve challenges set by companies and organisations.

Upon completion of a CLab, students will be entitled to receive 6 CFU (D- or F-type credits).

Find out more: https://www.univr.it/clabverona 

PLEASE NOTE: In order to be admitted to any teaching activities, including those of your choice, you must be enrolled in the academic year in which the activities in question are offered. Students who are about to graduate in the December and April sessions are therefore advised NOT to undertake extracurricular activities in the new academic year in which they are not enrolled, as these graduation sessions are valid for students enrolled in the previous academic year. Therefore, students who undertake an activity in an academic year in which they are not enrolled will not be granted CFU credits.

Primo semestre (lauree) From 9/19/22 To 1/13/23
years Modules TAF Teacher
1° 2° Ciclo tematico di conferenze: “Conflitti. Riconoscere, prevenire, gestire” - 2022/2023 D Riccardo Stacchezzini (Coordinator)
1° 2° Securitisation transactions - Focus on securitisations of OF NPL / NPE /UTP D Michele De Mari (Coordinator)
1° 2° Soft Skills Coaching Days - 2022/2023 D Paola Signori (Coordinator)
1° 2° The Fashion Lab - 2022/23 D Caterina Fratea (Coordinator)
Periodo generico From 10/1/22 To 5/31/23
years Modules TAF Teacher
1° 2° Economic Thinking and Thesis Writing D Marco Minozzo (Coordinator)
1° 2° Job club D Paola Signori (Coordinator)
1° 2° Data Analysis Laboratory with R (Vicenza) D Marco Minozzo (Coordinator)
1° 2° Data Visualization Laboratory D Marco Minozzo (Coordinator)
1° 2° Python Laboratory D Marco Minozzo (Coordinator)
1° 2° Data Science Laboratory with SAP D Marco Minozzo (Coordinator)
1° 2° Advanced Excel Laboratory (Vicenza) D Marco Minozzo (Coordinator)
1° 2° Excel Laboratory (Vicenza) D Marco Minozzo (Coordinator)
1° 2° Laboratory on research methods for business D Cristina Florio (Coordinator)
1° 2° Laboratory on research methods for business D Cristina Florio (Coordinator)
1° 2° Piano di marketing 2022/23 D Fabio Cassia (Coordinator)
1° 2° Programming in Mathlab D Marco Minozzo (Coordinator)
1° 2° Programming in SAS D Marco Minozzo (Coordinator)
Primo semestre (lauree magistrali) From 10/3/22 To 12/23/22
years Modules TAF Teacher
1° 2° Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 D Angelo Zago (Coordinator)
1° 2° Multinational companies and their foreign direct investment - 2022/2023 D Riccardo Fiorentini (Coordinator)
1° 2° Soft skills training for economics - 2022/23 D Claudio Zoli (Coordinator)
1° 2° Topics in applied economics and finance - 2022/23 D Claudio Zoli (Coordinator)
1° 2° Experience 3 Days as a Manager D Riccardo Stacchezzini (Coordinator)
Secondo semestre (lauree magistrali) From 2/20/23 To 5/19/23
years Modules TAF Teacher
1° 2° The Chartered Accountant as a business consultant D Riccardo Stacchezzini (Coordinator)
1° 2° Integrated Financial Planning 2022/2023 D Riccardo Stacchezzini (Coordinator)
Secondo semestre (lauree) From 2/20/23 To 5/31/23
years Modules TAF Teacher
1° 2° Project "B-EDUCATION: ideas that count" - 1 cfu D Roberto Bottiglia (Coordinator)
1° 2° Project "B-EDUCATION: ideas that count" - 2 cfu D Roberto Bottiglia (Coordinator)

Teaching code

4S008094

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Period

Primo semestre (lauree magistrali) dal Oct 3, 2022 al Dec 23, 2022.

Learning objectives

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.

Prerequisites and basic notions

Students are supposed to have acquired statistic knowledge of basic concepts provided in the bachelor degree in economics.

Program

1) Data sources:
Primary and secondary data.
Internal and external data sources.

2) Probabilistic and non-probabilistic sampling for sample survey:
Review of estimation theory.
Probabilistic sampling design.
Probabilistic sampling for variables.
Determination of the sampling size.

3) Customer analysis:
Pareto chart.
Concentration analysis. The Gini coefficient.

4) Statistical Analysis of sales data. Time Series analysis:
Time series decomposition in trend, seasonality and error.
Moving averages method.

5) Introduction to statistical quality control:
Statistical process control.
Control charts for variables.

6) Introduction to Business Intelligence. Techniques of data visualization.



The course is taught by lectures.
Lecture slides and other learning materials are available on the e-learning website.

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

The course is taught by lectures.
Lecture slides and other learning materials are available on the e-learning website.

Learning assessment procedures

The assessment of learning outcomes consists in a two-hour written examination.

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

Ability to understand the problems and to analyze them by choosing and applying the appropriate statistical method.
The exam is structured as follows: - 9 QUESTIONS WITH MULTIPLE ANSWERS concerning theoretical aspects of the program (up to 9 POINTS, out of 30) - 3 EXERCISES with numerical calculations of application to concrete cases of the analysis techniques learned during the course (up to 21 POINTS, out of 30).
If the written test is sufficient, there will be the possibility, at the discretion of the teacher or at the request of the student, to take an oral test as well.

Exam language

Italiano

Career prospects


Module/Programme news

News for students

There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and soon also via the Univr app.

Linguistic training CLA


Graduation


Internships


Gestione carriere


Student login and resources