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 magistrali) | Oct 5, 2020 | Dec 23, 2020 |
| secondo semestre (lauree magistrali) | Mar 1, 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
mariacaterina.baruffi@univr.it
Bullini Orlandi Ludovico
ludovico.bulliniorlandi@univr.it
045 802 8095
tomas.chiaramonte@univr.it
Cicogna Veronica
veronica.cicogna@univr.it
045 802 8246
massimo.melchiori@univr.it
francesca.rossignoli@univr.it
0444 393941 (Ufficio Vicenza) 0458028261 (Ufficio Verona)
Vannucci Virginia
virginia.vannucci@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 |
|---|
1 module between the following2° Year activated in the A.Y. 2021/2022
| Modules | Credits | TAF | SSD |
|---|
1 module between the following1 module between the following1 module between the following| Modules | Credits | TAF | SSD |
|---|
1 module between the following| Modules | Credits | TAF | SSD |
|---|
1 module between the following1 module between the following1 module 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° 2° | Future matters | D |
Alessandro Bucciol
(Coordinator)
|
| 1° 2° | Future matters | D |
Alessandro Bucciol
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | The fashion lab (1 ECTS) | D |
Maria Caterina Baruffi
(Coordinator)
|
| 1° 2° | The fashion lab (2 ECTS) | D |
Maria Caterina Baruffi
(Coordinator)
|
| 1° 2° | The fashion lab (3 ECTS) | D |
Maria Caterina Baruffi
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Design and Evaluation of Economic and Social Policies | D |
Federico Perali
(Coordinator)
|
| 1° 2° | Public debate and scientific writing - 2020/2021 | D |
Martina Menon
(Coordinator)
|
| 1° 2° | Soft skills coaching days Vicenza (terza edizione) - 2020/2021 | D |
Paola Signori
(Coordinator)
|
| 1° 2° | Wake up Italia - 2020/2021 | D |
Sergio Noto
(Coordinator)
|
Business _Analytics (BA) (2020/2021)
Teaching code
4S008099
Academic staff
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-P/10 - ORGANIZATION AND HUMAN RESOURCE MANAGEMENT
Period
secondo semestre (lauree magistrali) dal Mar 1, 2021 al Jun 1, 2021.
Learning outcomes
This course aims to introduce students to the concept and techniques of Business Analytics models, but also the new role of the "Business Analyst" within the organization. Particularly in the first part of this course, it will be used the POPIT(TM) model. Therefore, the data analysis and the interpretation of the information must always be aligned with: human resources (skills), the organizational environment, processes, and technologies. Taking as a reference the KPIs (Key Process Indicators), deriving from the business processes previously defined through the BPMN language, they will be analyzed and evaluated in real-time to create reports or dashboards to support the decision-making process. The data in addition to being used for the decision-making process, for the operational part, will also be used to align the POPIT(TM) components with the corporate business model better. This analysis will be conducted through the use of Business Intelligence tools to better respond to market needs. In the second part of the course, starting from historical series and external destructured data (through Big Data) we will proceed with the realization of predictive models to support managers in their strategic and operational decisions.
Program
The course aims to provide students with the fundamental concepts for reading, and to analyze enterprise data, to generate predictive models to support the decision-making process. The contents of the course can be summarized as follows:
1. Business Process Management, and the model POPITTM (People, Organization, Process, e IT).
2. Business Process Mapping, Analysis, and re-Engineering.
3. BPMN (Business Process Model Notation) for business integration.
4. DataWare House.
5. Business Intelligence tools.
6. Data analysis (querying, reporting, clustering, etc.).
7. Predictive Analysis (correlation, supervised regressions, etc.).
8. Introduction to Big Data.
9. People analytics.
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Davenport T.H., Harris G.J. | Competere con gli analytics. La nuova scienza per vincere nel business (Edizione 1) | Franco Angeli edizioni | 2019 | 9788891781086 |
Examination Methods
The final test is written. Mainly, it is composed of 3 open questions.
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.
Linguistic training CLA
Graduation
The final exam consists of a paper in written form of at least 80 pages, exploring a topic of the student's choice relating to one of the subjects in the student's syllabus. The topic and title of the paper must be selected in agreement with a university lecturer from one of the SSDs included in the student's syllabus. The work must be developed under the guidance of the lecturer. The thesis is the subject of an oral presentation and discussion in front of a Degree Committee on one of the dates established explicitly in the calendar of teaching activities. In agreement with the Supervisor, the thesis may be written, and the discussion may take place in English.
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.
Gestione carriere
Student login and resources
Method of attendance, teaching delivery and locations
The lectures on all the subjects of the course of study and the related examinations take place in person.
However, as a further service to students, it is also envisaged that, unless otherwise announced by the individual lecturer, lectures will be video-recorded and made available on the relevant e-learning spaces of the lectures a few weeks after they have taken place. Exceptions to this timing will only be possible for part-time students.
Attendance is not compulsory.
Further details on compulsory attendance can be found in the course regulations available under Regulations in the Course menu. Although the regulations do not stipulate a specific obligation, please check the instructions provided by the individual lecturer for each course or any laboratories and/or internships.
Part-time enrolment is permitted.
The venue for lectures and examinations is the Vicenza University Hub.
