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..

Academic year:
Definition of lesson periods
Period From To
primo semestre Sep 15, 2014 Jan 9, 2015
secondo semestre Feb 19, 2015 May 29, 2015
Exam sessions
Session From To
sessione invernale Jan 12, 2015 Feb 18, 2015
sessione estiva Jun 4, 2015 Jul 11, 2015
sessione autunnale Aug 24, 2015 Sep 9, 2015
Degree sessions
Session From To
sessione autunnale Dec 12, 2014 Dec 19, 2014
sessione invernale Apr 8, 2015 Apr 10, 2015
sessione estiva Sep 10, 2015 Sep 11, 2015
Holidays
Period From To
festività natalizie Dec 22, 2014 Jan 5, 2015
festività pasquali Apr 3, 2015 Apr 7, 2015
vacanze estive Aug 10, 2015 Aug 22, 2015

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 Enrollment FAQs

Academic staff

B C D F L M N P S T Z

Bozzola Marco

symbol email marco.bozzola@univr.it symbol phone-number 0458312510

Broglia Angela

symbol email angela.broglia@univr.it symbol phone-number 045 802 8240

Campedelli Bettina

symbol email bettina.campedelli@univr.it symbol phone-number 045 802 8416

Corbella Silvano

symbol email silvano.corbella@univr.it

Duret Paolo

symbol email paolo.duret@univr.it symbol phone-number 0458425373

Farinon Paolo

symbol email paolo.farinon@univr.it symbol phone-number 045 802 8169 (VR)

Florio Cristina

symbol email cristina.florio@univr.it symbol phone-number 045 802 8296

Lai Alessandro

symbol email alessandro.lai@univr.it symbol phone-number 045 802 8574

Lionzo Andrea

symbol email andrea.lionzo@univr.it

Messina Sebastiano Maurizio

symbol email sebastianomaurizio.messina@univr.it symbol phone-number 045 802 8052

Mion Giorgio

symbol email giorgio.mion@univr.it symbol phone-number 045.802 8172
foto,  June 5, 2018

Mussini Mauro

symbol email mauro.mussini@univr.it

Noto Sergio

symbol email sergio.noto@univr.it symbol phone-number 045 802 8008

Pasquariello Federica

symbol email federica.pasquariello@univr.it symbol phone-number 045 802 8233

Pertile Paolo

symbol email paolo.pertile@univr.it symbol phone-number 045 802 8438

Polin Veronica

symbol email veronica.polin@univr.it symbol phone-number 045 802 8267

Stacchezzini Riccardo

symbol email riccardo.stacchezzini@univr.it symbol phone-number 0458028186

Testa Federico

symbol email federico.testa@univr.it symbol phone-number +39 045 802 8221

Zarri Luca

symbol email luca.zarri@univr.it symbol phone-number 045 802 8101

Zerbato Stefania

symbol email s.zerbato@pagroup.it symbol phone-number 045 8780155

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 enrollment year.

CURRICULUM TIPO:
Modules Credits TAF SSD
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

4S00522

Teacher

Coordinator

Credits

6

Also offered in courses:

  • Business Statistics of the course Master’s degree in Marketing and Corporate Communication

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Period

primo semestre dal Sep 15, 2014 al Jan 9, 2015.

Learning outcomes

The course aims at providing students with the statistical methods for the analysis of business data from different areas of a firm, supporting the decision making process within a firm. Topics are introduced by illustrating common business issues whose solutions can be found by applying statistical methods. By the end of the course, students will be able to:
- select the proper statistical method for a specific business analysis;
- perform preliminary analysis of business data, and organize data in a data structure useful for the following statistical analysis;
- apply univariate and multivariate statistical methods to business data;
- interpret results and provide managers with synthetic information for business decisions.

Program

Data sources and statistical information for business.
Statistical indicators for business:
- simple index numbers;
- composite index numbers;
- consumer price indices and producer price indices;
- industrial production index.
Descriptive statistics for analysing business data:
- statistical indicators with application to customer data;
- the Lorenz curve and the analysis of customer concentration;
- statistical methods for customer segmentation: RFM and ABC analysis.
Multivariate statistical analysis of customer and business data:
- cluster analysis;
- principal component analysis.
Introduction to statistical quality control:
- control charts for qualitative data;
- control charts for quantitative data.
Business forecasting:
- delphi analysis;
- smoothing techniques: moving averages and exponential smoothing;
- techniques for decomposing economic time series.


Suggested book: B. Bracalente, M. Cossignani, A. Mulas (2009) Statistica Aziendale, McGraw-Hill, Milano.

Examination Methods

A mandatory written exam and an optional oral exam. Written exam is broken down into two parts:
- The first part comprises short-answer questions about the various topics of the course.
- The second part comprises i) an open question about a specific topic of the course, ii) two exercises in which students are asked to apply statistical methods for business data analysis and to interpret the results.
Oral exam is optional and a cut-off score on the written exam is required to do the oral exam.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Type D and Type F activities

Academic year:

Modules not yet included

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.

List of thesis proposals

theses proposals Research area
PMI (SMES) and financial performance MANAGEMENT OF ENTERPRISES - MANAGEMENT OF ENTERPRISES
Analisi dell'Impatto della Regolamentazione: potenziale e applicazioni concrete Various topics
Corporate governance, financial performance and international business Various topics
Costs and benefits of the new Turin-Lyon railway line Various topics
Costs and benefits of new systems for speed control on italian motorways Various topics
Il futuro del corporate reporting (COVID19) Various topics
I Modelli di Organizzazione, Gestione e Controllo ex d.lgs. 231/2001 Various topics
I modelli organizzativi ex. d.lgs 231/2001: diffusione sul territorio Various topics
Contingent valuation for the quality of hospital characteristics Various topics
Evaluating occupational impacts of large investment projects Various topics
Valutazioni d'azienda Various topics

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