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.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| 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 |
| 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 |
| 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.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
eleonora.branca@univr.it
mario.furno@univr.it
cecilia.mancini@univr.it
francesca.rossignoli@univr.it
0444 393941 (Ufficio Vicenza) 0458028261 (Ufficio Verona)
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.
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year It will be activated in the A.Y. 2023/2024
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
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.
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.
| 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)
|
| 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)
|
| 1° 2° | Piano di marketing 2022/23 | D |
Fabio Cassia
(Coordinatore)
|
| 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)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | The Chartered Accountant as a business consultant | D |
Riccardo Stacchezzini
(Coordinatore)
|
| 1° 2° | Integrated Financial Planning 2022/2023 | D |
Riccardo Stacchezzini
(Coordinatore)
|
Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 (2022/2023)
Teaching code
4S011643
Teacher
Coordinatore
Credits
2
Also offered in courses:
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Bachelors' degree in Business Administration and Management
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Bachelor's degree in Business Innovation and Economics
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Bachelor's degree in Economics and Business
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Bachelor's degree in Economics, Firms and International Markets
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Master’s degree in Marketing and Corporate Communication
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Master’s degree in Banking and Finance
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Master’s degree in Management and business strategy
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Master’s degree in Economics and Data Analysis
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Master's degree in Corporate governance and business administration
Language
English
Scientific Disciplinary Sector (SSD)
NN - -
Period
Primo semestre (lauree magistrali) dal Oct 3, 2022 al Dec 23, 2022.
Learning objectives
At the end of this class, the student will know more about how to collect, manage and use data for business analytics purposes, using Excel proficiently:
· to use data for descriptive purposes;
· to use data for predictive purposes;
· to use data for prescriptive purposes.
Program
1. The concept of Business Analytics (what is it?, why is it needed?, what is it good for?, how can we implement it?
2. Descriptive analytics
2.1. Visualization, exploration and data analysis
2.1.1. Pivot Tables
2.1.2. Dashboards
3. Predictive analytics
3.1. Predictive models (from causal models to time series models)
3.2. Excel tools for predictive analytics with practical international examples (what if analysis, scenario manager, data tables) using OECD data.
4. Prescriptive analytics.
Periodo di svolgimento: seconda e terza settimana di novembre 2022.
Destinatari: Studenti del CdLM in IEB; il corso è però aperto anche agli studenti di altri CdS, fino ad un massimo di 30 partecipanti.
Learning assessment procedures
Attenzione: Si ricorda che i laureandi di dicembre 2022/aprile 2023 non possono partecipare e richiedere l'accreditamento di cfu per la presente attività, in quanto si tratta di un'erogazione 2022/2023, mentre le sessioni di laurea si riferiscono all'a.a. 2021/2022.
Gli studenti regolarmente iscritti all'a.a. 2022/2023 sono tenuti a inserire l'attività a libretto.
Modalità di accertamento del profitto: The recognition of credits is subject to the attendance of the scheduled classes and
the passing of a final test consisting of the application of the concepts learned during the module to a database chosen
by the student and the preparation of a summary report of the analysis performed (about 2000 words).
Data proposta per l’appello verbalizzante: 15 gennaio 2023
Impegno orario richiesto: 50 ore
CFU riconosciuti: 2 CFU
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.
Further services
I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.
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 greater than or equal to 24 and a number of credits not lower than the average of the cohort of students enrolled in 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
