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 |
|---|---|---|
| primo semestre (lauree) | Sep 28, 2020 | Dec 23, 2020 |
| secondo semestre (lauree) | Feb 15, 2021 | Jun 1, 2021 |
| Session | From | To |
|---|---|---|
| sessione invernale | Jan 11, 2021 | Feb 12, 2021 |
| sessione estiva | Jun 7, 2021 | Jul 23, 2021 |
| sessione autunnale | Aug 23, 2021 | Sep 17, 2021 |
| Session | From | To |
|---|---|---|
| sessione autunnale (validità a.a. 2019/20) | Dec 9, 2020 | Dec 11, 2020 |
| sessione invernale (validità a.a. 2019/20) | Apr 7, 2021 | Apr 9, 2021 |
| sessione estiva (validità a.a. 2020/21) | Sep 6, 2021 | Sep 8, 2021 |
| Period | From | To |
|---|---|---|
| Vacanze di Natale | Dec 24, 2020 | Jan 6, 2021 |
| Vacanze di Pasqua | Apr 3, 2021 | Apr 6, 2021 |
| Vacanze estive | Aug 9, 2021 | Aug 15, 2021 |
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 Enrollment FAQs
Academic staff
francesca.rossignoli@univr.it
0444 393941 (Ufficio Vicenza) 0458028261 (Ufficio Verona)
andrea.xamo@univr.it
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
| Modules | Credits | TAF | SSD |
|---|
2° Year activated in the A.Y. 2021/2022
| Modules | Credits | TAF | SSD |
|---|
3° Year activated in the A.Y. 2022/2023
| Modules | Credits | TAF | SSD |
|---|
1 module to be chosen between the following1 module to be chosen between the following| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1 module to be chosen between the following1 module to be chosen between the following| 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
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° | Future matters | D |
Alessandro Bucciol
(Coordinator)
|
| 1° | Future matters | D |
Alessandro Bucciol
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° | Design and Evaluation of Economic and Social Policies | D |
Federico Perali
(Coordinator)
|
| 1° | Public debate and scientific writing - 2020/2021 | D |
Martina Menon
(Coordinator)
|
| 1° | Soft skills coaching days Vicenza (terza edizione) - 2020/2021 | D |
Paola Signori
(Coordinator)
|
| 1° | Wake up Italia - 2020/2021 | D |
Sergio Noto
(Coordinator)
|
Business Intelligence (2022/2023)
Learning objectives
Business Intelligence (BI) is the set of methods, processes, architectures, applications and technologies designed in order to collect, elaborate and transform row data in useful information and knowledge able to support operational, tactic and strategic decisions. The course aims at developing the awareness and the competences needed to design and implement data-driven decision-making processes.
In doing so we will analyse the most popular technologies and applications such as Data warehouses and dashboard. During the course we will discuss the development and evolution of the technological landscape from the new architecture of columnar Databases (such as SAP HANA), to the internet of things (IoT), Big Data (BD) and Artificial Intelligence (AI).
In doing so we will discuss and analyse the impact of these technologies on the organizational practices and strategies.
The course is organized as follow: Lectures, Tutorials (on DW and R) and case analysis with the help of managers and practitioners working in the BI environment.
Prerequisites and basic notions
Basic knowledge of internal auditing and organization design and statistics
Program
Value creation and Value measurement
Business Process Management
- Maping
- Measurement
- Change
IT Infrastructure
Enterprise Systems
Database
Data Warehouse
Data visualization - Dashboard
Data Mining
Business Analytics
Big Data
IoT
Artificial Intelligence
Didactic methods
Face to face lectures and tutorials. Recorded lecture are not part of the course design/
Learning assessment procedures
Open questions written exam. Detailed instructions about the exam (times and practice exam) will be provided during the course and published in Moodle.
Evaluation criteria
Correctness, completeness, accuracy and precision of the answers
Criteria for the composition of the final grade
100% final exam. Bonus point might be assigned for voluntary works such as case study analysis.
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 also via the Univr app.
Modalità di frequenza, erogazione della didattica e sedi
Le lezioni di tutti gli insegnamenti del corso di studio, così come le relative prove d’esame, si svolgono in presenza.
Peraltro, come ulteriore servizio agli studenti, è altresì previsto che tali lezioni siano videoregistrate e che le videoregistrazioni vengano messe a disposizione sui relativi spazi e-learning degli insegnamenti, salvo diversa comunicazione del singolo docente.
La frequenza non è obbligatoria.
Maggiori dettagli in merito all'obbligo di frequenza vengono riportati nel Regolamento del corso di studio disponibile alla voce Regolamenti nel menu Il Corso. Anche se il regolamento non prevede un obbligo specifico, verifica le indicazioni previste dal singolo docente per ciascun insegnamento o per eventuali laboratori e/o tirocinio.
È consentita l'iscrizione a tempo parziale. Per saperne di più consulta la pagina Possibilità di iscrizione Part time.
La sede di svolgimento delle lezioni e degli esami è l'University Hub.
Graduation
Student mentoring
Gestione carriere
Linguistic training CLA
Internships
The curriculum of the three-year degree courses (CdL) and master's degree courses (CdLM) in the economics area includes an internship as a compulsory training activity. Indeed, the internship is considered an appropriate tool for acquiring professional skills and abilities and for facilitating the choice of a future professional outlet that aligns with one's expectations, aptitudes, and aspirations. The student can acquire further competencies and interpersonal skills through practical experience in a work environment.
