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 27, 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 21, 2023 Sep 15, 2023
Degree sessions
Session From To
Sessione autunnale Dec 5, 2022 Dec 7, 2022
Sessione invernale Apr 4, 2023 Apr 6, 2023
Sessione estiva Sep 4, 2023 Sep 6, 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 Enrolment FAQs

Academic staff

A B C D F M Q R S Z

Andreoli Francesco

symbol email francesco.andreoli@univr.it symbol phone-number 045 802 8102

Blasi Silvia

symbol email silvia.blasi@univr.it symbol phone-number 045 8028218

Bracco Emanuele

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

Cobelli Nicola

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

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

Furno Mario

symbol email mario.furno@univr.it

Mancini Cecilia

symbol email cecilia.mancini@univr.it

Minozzo Marco

symbol email marco.minozzo@univr.it symbol phone-number 045 802 8234

Quercia Simone

symbol email simone.quercia@univr.it symbol phone-number 045 802 8237

Roffia Paolo

symbol email paolo.roffia@univr.it symbol phone-number 045 802 8012

Rossi Francesca

symbol email francesca.rossi_02@univr.it symbol phone-number 045 802 8098

Rossignoli Francesca

symbol email francesca.rossignoli@univr.it symbol phone-number 0444 393941 (Ufficio Vicenza) 0458028261 (Ufficio Verona)

Russo Ivan

symbol email ivan.russo@univr.it symbol phone-number 045 802 8161 (VR)

Signori Paola

symbol email paola.signori@univr.it symbol phone-number 0444 393942 (VI) 045 802 8492 (VR)

Stacchezzini Riccardo

symbol email riccardo.stacchezzini@univr.it symbol phone-number 045 802 8186

Zago Angelo

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

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 enrolment year.

It will be activated in the A.Y. 2023/2024
ModulesCreditsTAFSSD
One module between the following
Stage
3
F
-
Final exam
12
E
-

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

ModulesCreditsTAFSSD
One module between the following
Stage
3
F
-
Final exam
12
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
Further language skills
3
F
-
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

Teaching code

4S008983

Coordinatore

Francesca Rossi

Credits

9

Language

English en

Scientific Disciplinary Sector (SSD)

SECS-P/05 - ECONOMETRICS

Period

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

Learning objectives

Econometrics is the application of statistics and mathematics to economic and business data. In today’s world data are largely available and econometric techniques are crucially important to conducting reliable data analyses in private and public institutions. This course introduces students to regression methods for cross-sectional, time series, and panel data in order to analyze data in business and economics. After presenting the basic theoretical features of each method, the module will offer students the opportunity to practically implement estimation and hypothesis testing techniques in various empirical contexts. The main goal of the course is to provide students with a solid background in econometrics, to stimulate their abilities to apply such techniques on diverse datasets, and to enable them to critically analyze empirical studies in economics, business, and finance.

Prerequisites and basic notions

We require basic knowledge of calculus. The course material relies on prior knowledge of basic statistics and probability theory.

Program

The content of this module will be a balanced mixture of theoretical topics and their empirical application to real dataset. The practical applications involving the use of a statistics/econometrics software will be based on R.

The main topics will be as follow.

Simple linear regression model: model assumptions, ordinary least squares (OLS) and its statistical properties.
Multiple regression model: model assumptions, interpretation of estimates, multicollinearity.
Hypothesis testing: t-tests, F-tests and their distribution.
Dummy variables: definition of intercept and slope dummy variables, and interpretation of coefficients.
Heteroskedasticity: consequence of heteroscedasticity, robust standard errors, testing for heteroskedasticity.
Model misspecification: omitted variable bias, inclusion of irrelevant variables, non-linearity in the regressors.
Endogeneity and instrumental variables: random regressors, definition of endogeneity, instrumental variable estimator (IV), two stages least squares, measurement error, omitted variables and their IV solution, testing for endogeneity.
Simultaneous equations: identification problem, IV solution to simultaneity.
Binary dependent variables: linear probability model, interpretation of coefficients and limitation of this approach. Probit and Logit models.
Time series models: model assumptions, static models, distributed lag models.
Serial correlation: definition of serial correlation, consequences, robust standard errors, testing for serial correlation. Discussion on non stationary time series: consequences of non-stationarity and testing for unit roots.
Panel data analysis: definition of panel dataset, pooled OLS, analysis via differencing, fixed effect and random effects.

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

Frontal lectures. During the module we will extensively use the software R to illustrate examples and carry out simple empirical analyses.

Learning assessment procedures

The exam will be a 2-hour written examination. Students will have to answer questions on theory and practice related to the whole program. In addition, students will be asked to carry out a small empirical application by working in groups. Details of the group project will be extensively discussed at the beginning of the course.

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Evaluation criteria

To obtain full marks, students should show knowledge of the various econometric methodologies to understand and solve the diverse issues posed by regression models.

Criteria for the composition of the final grade

The final grade will be a weighted average of the marks obtained in the written examination (75%) and in the group project (25%).

Exam language

Inglese

Type D and Type F activities

Nei piani didattici di ciascun Corso di studio è previsto l’obbligo di conseguire un certo numero di crediti formativi mediante attività a scelta (chiamate anche "di tipologia D e F").

Oltre che in insegnamenti previsti nei piani didattici di altri corsi di studio e in certificazioni linguistiche o informatiche secondo quanto specificato nei regolamenti di ciascun corso, tali attività possono consistere anche in iniziative extracurriculari di contenuto vario, quali ad esempio la partecipazione a un seminario o a un ciclo di seminari, la frequenza di laboratori didattici, lo svolgimento di project work, stage aggiuntivo, eccetera.

Come per ogni altra attività a scelta, è necessario che anche queste non costituiscano un duplicato di conoscenze e competenze già acquisite dallo studente.

Quelle elencate in questa pagina sono le iniziative extracurriculari che sono state approvate dal Consiglio della Scuola di Economia e Management e quindi consentono a chi vi partecipa l'acquisizione dei CFU specificati, alle condizioni riportate nelle pagine di dettaglio di ciascuna iniziativa.

Si ricorda in proposito che:
- tutte queste iniziative richiedono, per l'acquisizione dei relativi CFU, il superamento di una prova di verifica delle competenze acquisite, secondo le indicazioni contenute nella sezione "Modalità d'esame" della singola attività;
- lo studente è tenuto a inserire nel proprio piano degli studi l'attività prescelta e a iscriversi all'appello appositamente creato per la verbalizzazione, la cui data viene stabilita dal docente di riferimento e pubblicata nella sezione "Modalità d'esame" della singola attività.

COMPETENZE TRASVERSALI
Scopri i percorsi formativi promossi dal  Teaching and learning centre dell'Ateneo, destinati agli studenti iscritti ai corsi di laurea, volti alla promozione delle competenze trasversali: https://talc.univr.it/it/competenze-trasversali


ATTENZIONE: Per essere ammessi a sostenere una qualsiasi attività didattica, incluse quelle a scelta, è necessario essere iscritti all'anno di corso in cui essa viene offerta. Si raccomanda, pertanto, ai laureandi delle sessioni di dicembre e aprile di NON svolgere attività extracurriculari del nuovo anno accademico, cui loro non risultano iscritti, essendo tali sessioni di laurea con validità riferita all'anno accademico precedente. Quindi, per attività svolte in un anno accademico cui non si è iscritti, non si potrà dar luogo a riconoscimento di CFU.

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 (Coordinatore)
1° 2° Securitisation transactions - Focus on securitisations of OF NPL / NPE /UTP D Michele De Mari (Coordinatore)
1° 2° Soft Skills Coaching Days - 2022/2023 D Paola Signori (Coordinatore)
1° 2° The Fashion Lab - 2022/23 D Caterina Fratea (Coordinatore)
Periodo generico From 10/1/22 To 5/31/23
years Modules TAF Teacher
1° 2° Job club D Paola Signori (Coordinatore)
1° 2° Data Analysis Laboratory with R (Vicenza) D Marco Minozzo (Coordinatore)
1° 2° Python Laboratory D Marco Minozzo (Coordinatore)
1° 2° Advanced Excel Laboratory (Vicenza) D Marco Minozzo (Coordinatore)
1° 2° Excel Laboratory (Vicenza) D Marco Minozzo (Coordinatore)
1° 2° Laboratory on research methods for business D Cristina Florio (Coordinatore)
1° 2° Laboratory on research methods for business D Cristina Florio (Coordinatore)
Primo semestre (lauree magistrali) From 10/3/22 To 12/23/22
years Modules TAF Teacher
1° 2° An introduction to multivariate statistical analysis using R - 2022/2023 D Francesca Rossi (Coordinatore)
1° 2° Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 D Angelo Zago (Coordinatore)
1° 2° English for business and economics F Riccardo Fiorentini (Coordinatore)
1° 2° Multinational companies and their foreign direct investment - 2022/2023 D Riccardo Fiorentini (Coordinatore)
1° 2° Soft skills training for economics - 2022/23 D Claudio Zoli (Coordinatore)
1° 2° Topics in applied economics and finance - 2022/23 D Claudio Zoli (Coordinatore)
1° 2° Experience 3 Days as a Manager D Riccardo Stacchezzini (Coordinatore)
Secondo semestre (lauree magistrali) From 2/27/23 To 5/19/23
years Modules TAF Teacher
1° 2° The Chartered Accountant as a business consultant D Riccardo Stacchezzini (Coordinatore)

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.

Linguistic training CLA


Internships


Double degree

To contribute to the internationalization of the experience of students enrolled in the MSc in IEB, Double Degree agreements have been activated with the University of Bordeaux (FR) and with the University of Bamberg (D). Each agreement provides for the participation of a maximum of five students, therefore a total of (maximum) ten students can benefit from the experience.

Bordeaux 
Students selected for the Double Degree program with Bordeaux will spend the first semester of the second year at the partner university, during which they will participate in the Master Mention “Economie Internationale” - Parcours “Economie, banque et finance internationales”. Students will attend the  following courses in France (on the right the equivalent courses of the MSc in IEB):
Import/Export Techniques 8ECTS <---> International business law 9CFU
Growth and Development 7ECTS <---> International trade and economic development 9CFU 
International Trade and FDI 8ECTS <---> Export decisions, FDI, and global value chains 9CFU 
Strategic Analysis and Applications 7ECTS <---> Stage 3CFU 

Bamberg
Students selected for the Double Degree program with Bamberg, on the other hand, will participate in the Master of Science in European Economic Studies program, where they will attend the following courses:
- One course to be chosen in the MAEES1 Methods and Fundamentals module group:
Modul MAEES1.1 Advanced Microeconomics 6 ECTS
Modul MAEES1.2 Advanced Macroeconomics 6 ECTS
- Three courses (18 ECTS) with modules of the module groups MAEES Specialisation (of 6 ECTS each):
MAEES3 Internationale Wirtschaft (International Economics)
MAEES4 Empirische Mikroökonomik (Empirical Microeconomics)
MAEES5 Finanzwissenschaft (Public Economics)
MAEES7 Wirtschaftstheorie (Economic Theory)
MAEES8 Angewandte Wirtschaftsforschung (Applied Economic Research)
- 12 ECTS among the following Foreign Business Languages at master level:
German (for not German native speakers)
Business English
Business French
Business Italian (for not Italian native speakers)
Business Spanish
Business Russian
- 24 ECTS for thesis completion.

Requirements and selection procedure
Students regularly enrolled in the first year of the MSc in IEB can be admitted to the Double Degree programs. The call for applications will be published around September 2021 or later in the University web page on double degrees. The choice of students to be admitted is made during the first semester of the first year, through a multi-stage process:
- a selection of students based on the results achieved in their bachelor degree, on their CV and on a motivational interview. Following this selection, the ranking of students "admitted under condition" will be published;
- an ongoing confirmation of the above ranking, based on the academic achievement of the students in the first part of their studies at the University of Verona. Specifically, are confirmed the students "admitted under condition" which - at the end of the first semester of the first year - have achieved a weighted average score and a number of credits not lower than the average of the cohort of students enrolled in the first year (in the case of students’ transfers and career shortening, only the recognized exams for the first semester of the first year are taken into consideration).
The ranking of selected and confirmed students will be unique and the choice of destination - Bamberg or Bordeaux - will be made starting with the first classified student, then the second and so on.
Finally, the students selected and confirmed will participate in the call to obtain the Erasmus scholarships reserved for the assigned location.

Disclaimer
The information on this site may be subject to changes during construction. Please consult the site for any updates.

Gestione carriere


Student login and resources


Prova finale

La prova finale consiste in un elaborato in forma scritta di almeno 60 cartelle, che approfondisce un tema a scelta relativo a uno degli insegnamenti previsti dal piano didattico dello studente. Il tema e il titolo dell’elaborato dovranno essere selezionati in accordo con un docente dell’Ateneo di un SSD fra quelli presenti nel piano didattico dello studente. Il lavoro deve essere sviluppato sotto la guida del docente. La tesi è oggetto di esposizione e discussione orale, in una delle date appositamente stabilite dal calendario delle attività didattiche, dinanzi a una Commissione di Laurea nominata ai sensi del RDA. In accordo con il Relatore, la tesi potrà essere redatta e la discussione potrà svolgersi in lingua inglese.

Per maggiori informazioni e la consultazione delle scadenze e delle commissioni di laurea si rimanda all'apposita sezione del sito web della Scuola di Economia e Management