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 LM | Sep 30, 2024 | Dec 23, 2024 |
| Periodo generico | Oct 1, 2024 | May 31, 2025 |
| Secondo semestre LM | Feb 17, 2025 | May 23, 2025 |
| Session | From | To |
|---|---|---|
| Sessione invernale LM | Jan 7, 2025 | Feb 14, 2025 |
| Sessione estiva LM | May 26, 2025 | Jul 11, 2025 |
| Sessione autunnale LM | Aug 25, 2025 | Sep 19, 2025 |
| Session | From | To |
|---|---|---|
| Sessione autunnale a.a. 2023/2024 | Dec 4, 2024 | Dec 6, 2024 |
| Sessione invernale a.a. 2023/2024 | Apr 2, 2025 | Apr 4, 2025 |
| Sessione estiva a.a. 2024/2025 | Sep 3, 2025 | Sep 5, 2025 |
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
045 802 8691 (VR) 0444 393931 (VI)
roberto.boggiani@univr.it
tomas.chiaramonte@univr.it
massimo.melchiori@univr.it
giovanni.righetti@univr.it
giovanni.sandrini@univr.it
alessia.zoppelletto@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 It will be activated in the A.Y. 2025/2026
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1 module between the following1 module between the following1 module between the following| Modules | Credits | TAF | SSD |
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1 module between the following| Modules | Credits | TAF | SSD |
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1 module between the following1 module between the following1 module between the following| Modules | Credits | TAF | SSD |
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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.
Statistics for Business (2024/2025)
Teaching code
4S008094
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/03 - ECONOMIC STATISTICS
Period
Primo semestre LM dal Sep 30, 2024 al Dec 23, 2024.
Courses Single
Authorized
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
The basic notions of statistics studied in the three-year degree courses in economics are taken for granted. In any case, the teacher will provide a handout with the treatment of the main topics of Statistics that will be used in this course. This handout will be an integral part of the course and the exam
Program
Business Statistics Data Sources Sampling Linear Regression Mutability and Pareto Analysis Concentration and the Lorenz Curve Statistical Quality Control Choosing Business Investments Under Uncertainty Benford's Law and Preventing Corporate Fraud Introduction to Microsoft Power BI Software
Didactic methods
The lessons will be held in person at the time indicated in the appropriate space on the site. The content of the lessons will be recorded and the recordings will be available on the Moodle platform of the course. The participatory teaching activities will be carried out in the classroom and may, by their nature, not be recordable. The following is specified: 1) the exercises will be carried out by the teacher in class also with the aid of Personal Computers. It is recommended to participate in the exercises with the personal PC in order to be able to upload the files provided in advance and perform the analysis of the data contained therein 2) the introduction to the Microsoft Power BI software is intended to provide the student with the first basic knowledge to then independently study this now essential tool for analyzing business data. The teacher will provide example data on which useful reports will be derived and built in the business field
Learning assessment procedures
The exam consists of a written test on the entire program lasting two hours.
Evaluation criteria
Ability to understand problems and analyze them by choosing and applying the appropriate statistical method.
Criteria for the composition of the final grade
The written test is structured as follows: 1) 9 multiple choice questions regarding theoretical aspects of the program covered (up to 9 points out of 30) 2) 3 exercises with numerical calculations of applications to concrete cases of the analysis techniques learned during the course (up to 21 points out of 30) The student may submit before the end of the lessons an in-depth work using the Microsoft Power BI software which, if considered valid by the teacher, will lead, in the event of a sufficient evaluation of the exam, to an increase in the evaluation of up to 2 points. The software can be downloaded free of charge.
Exam language
Italiano
Type D and Type F activities
The didactic plans of each course of study provide for the obligation to obtain a certain number of credits through optional activities (also called 'type D and F').
In addition to teaching provided for in the didactic plans of other courses and language or IT certifications as specified in the regulations of each course, these activities may also consist of extracurricular initiatives of various contents, such as, for example, participation in a seminar or a series of seminars, attendance at teaching workshops, carrying out project work, additional internships, etc.
As with any other elective activity, these must be consistent with knowledge and skills already acquired by the student.
Those listed on this page are the extracurricular initiatives that the Teaching Commission has approved and, therefore, allow those who take part in them to acquire the specified credits, subject to the conditions set out on the detail pages of each initiative.
In this regard, please note that:
- all these initiatives require, for the acquisition of the relative CFUs, the passing of a test to verify the skills acquired, following the indications contained in the 'Examination methods' section of the individual activity
- the student must include the chosen activity in his or her study plan and enrol in the roll specifically created for the test, the date of which is set by the teacher of reference and published in the 'Examination methods' section of the individual activity.
SOFT SKILLS
Discover the training courses promoted by the University's Teaching and Learning Centre for students enrolled on degree courses aimed at promoting soft skills: https://talc.univr.it/it/competenze-trasversali
CONTAMINATION LAB
The Contamination Lab Verona (CLab Verona) is an experiential pathway with modules dedicated to innovation and enterprise culture that offers the opportunity to work in teams with students from all degree courses to solve challenges set by companies and organisations. The pathway allows you to receive 6 CFUs in D or F. Discover the challenges: https://www.univr.it/it/clabverona
______________________
WARNING: To be admitted to any teaching activity, including those of your choice, you must be enrolled in the course year in which it is offered. Graduands 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 sessions are valid for the previous academic year. Therefore, no CFU recognition will be granted for activities carried out in an academic year in which they are not enrolled.
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | B-education: Sound ideas | D |
Cristina Florio
(Coordinator)
|
| 1° 2° | B-education: Sound ideas | D |
Cristina Florio
(Coordinator)
|
| 1° 2° | Ciclo tematico di conferenze “Italia nel mondo” - 2024/2025 | D |
Riccardo Stacchezzini
(Coordinator)
|
| 1° 2° | Ethical finance | D |
Giorgio Mion
(Coordinator)
|
| 1° 2° | Generative AI (Artificial Intelligence) for Business Communication | D |
Massimo Melchiori
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Methods and tools for literature reviews | D |
Cristina Florio
(Coordinator)
|
| 1° 2° | Sustainable business model frameworks | D |
Vincenzo Riso
(Coordinator)
|
| 1° 2° | Experience 3 Days as a Manager | D |
Nicola Cobelli
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 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° | Methods and tools for empirical research in management | D |
Cristina Florio
(Coordinator)
|
| 1° 2° | Methods and tools for empirical research in management | D |
Cristina Florio
(Coordinator)
|
| 1° 2° | Plan your professional future | D |
Paolo Roffia
(Coordinator)
|
| 1° 2° | Plan your professional future | D |
Paolo Roffia
(Coordinator)
|
| 1° 2° | Marketing plan | D |
Fabio Cassia
(Coordinator)
|
| 1° 2° | Programming in Matlab | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Programming in SAS | D |
Marco Minozzo
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Artificial Intelligence, AI and Business Operations: Methods and Techniques | D |
Lapo Mola
(Coordinator)
|
| 1° 2° | The business consultant accountant | D |
Riccardo Stacchezzini
(Coordinator)
|
| 1° 2° | Relational soft skills for professional presence | D |
Federico Brunetti
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Soft skills coaching days | D |
Paola Signori
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | French B1 | D | Not yet assigned |
| 1° 2° | French B2 | D | Not yet assigned |
| 1° 2° | English C1 | D | Not yet assigned |
| 1° 2° | Russian B1 | D | Not yet assigned |
| 1° 2° | Russian B2 | D | Not yet assigned |
| 1° 2° | Spanish B1 | D | Not yet assigned |
| 1° 2° | Spanish B2 | D | Not yet assigned |
| 1° 2° | German B1 | D | Not yet assigned |
| 1° 2° | German B2 | D | Not yet assigned |
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.
