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..

Definition of lesson periods
Period From To
primo semestre (lauree magistrali) Oct 5, 2020 Dec 23, 2020
secondo semestre (lauree magistrali) Mar 1, 2021 Jun 1, 2021
Exam sessions
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
Degree sessions
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
Holidays
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.

Exam calendar

Should you have any doubts or questions, please check the Enrollment FAQs

Academic staff

B C D F G M P

Bottiglia Roberto

symbol email roberto.bottiglia@univr.it symbol phone-number 045 802 8224

Bracco Emanuele

symbol email emanuele.bracco@univr.it symbol phone-number 045 802 8293

Bucciol Alessandro

symbol email alessandro.bucciol@univr.it symbol phone-number 045 802 8278

Carluccio Emanuele Maria

symbol email emanuelemaria.carluccio@univr.it symbol phone-number 045 802 8487

Chiaramonte Laura

symbol email laura.chiaramonte@univr.it

D'Alberto Riccardo

symbol email riccardo.dalberto@univr.it

De Mari Michele

symbol email michele.demari@univr.it symbol phone-number 045 802 8226

Faccincani Lorenzo

symbol email lorenzo.faccincani@univr.it symbol phone-number 045 802 8610

Gnoatto Alessandro

symbol email alessandro.gnoatto@univr.it symbol phone-number 045 802 8537

Mazzon Andrea

symbol email andrea.mazzon@univr.it

Minozzo Marco

symbol email marco.minozzo@univr.it symbol phone-number 045 802 8234

Munari Cosimo

symbol email cosimo.munari@univr.it

Pichler Flavio

symbol email flavio.pichler@univr.it symbol phone-number 045 802 8273

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:

2° Year   activated in the A.Y. 2021/2022

ModulesCreditsTAFSSD
Training
6
F
-
Final exam
15
E
-
activated in the A.Y. 2021/2022
ModulesCreditsTAFSSD
Training
6
F
-
Final exam
15
E
-
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

Type D and Type F activities

primo semestre (lauree) From 9/28/20 To 12/23/20
years Modules TAF Teacher
1° 2° Future matters D Alessandro Bucciol (Coordinator)
1° 2° Future matters D Alessandro Bucciol (Coordinator)
primo semestre (lauree magistrali) From 10/5/20 To 12/23/20
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)
secondo semestre (lauree) From 2/15/21 To 6/1/21
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° Wake up Italia - 2020/2021 D Sergio Noto (Coordinator)
List of courses with unassigned period
years Modules TAF Teacher
1° 2° Ciclo di video conferenze: "L’economia del Covid, Verona e l’Italia. Una pandemia che viene da lontano?" - 2020/21 D Sergio Noto (Coordinator)
1° 2° Ciclo tematico di conferenze (on-line): “Come saremo? Ripensare il mondo dopo il 2020” - 2020/21 D Federico Brunetti (Coordinator)
1° 2° Elements of financial risk management D Claudio Zoli (Coordinator)
1° 2° Integrated Financial Planning - 2020/21 D Riccardo Stacchezzini (Coordinator)
1° 2° Introduction to the Java Programming Language - 2020/21 D Alessandro Gnoatto (Coordinator)
1° 2° Data Analysis Laboratory with R (Verona) 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 (Verona) D Marco Minozzo (Coordinator)
1° 2° Marketing plan - 2020/21 D Virginia Vannucci (Coordinator)
1° 2° Programming in Matlab D Marco Minozzo (Coordinator)
1° 2° Programming in SAS D Marco Minozzo (Coordinator)
1° 2° 3° Excel Laboratory (Verona) D Marco Minozzo (Coordinator)

Teaching code

4S009614

Coordinator

Marco Minozzo

Credits

3

Also offered in courses:

Language

Italian

Scientific Disciplinary Sector (SSD)

NN - -

Period

Not yet assigned

Learning outcomes

The course "Programming in SAS" is an optional "type f" activity, which allows to students to obtain 3 CFU, once a final examination is passed. In particular:

- The course is open to all CdL and CdLM students of the School of Economics and Management, in particular to the students of the Master’s degree in Economics, of the Master’s degree in Economics and Data Analysis, and of the Master’s degree in Banking and Finance.

- Due to the COVID-19 emergency, this year lessons will be delivered online through Zoom meetings. The course has, approximately, 50 places.

- The course will take place in the second semester; there will be just one course.

- Requests for participation will be considered following the registration order considering that priority will be given to CdLM students, in particular to the students of the Master’s degree in Economics, of the Master’s degree in Economics and Data Analysis, and of the Master’s degree in Banking and Finance. Students are required to participate to the first lesson, or to send an email to the teacher to communicate their absence.

- The frequency to the classes is compulsory. Students are required to attend at least 3/4 of the exercise lessons and tutorial activities in order to be admitted to the final evaluation.

The course consists of 24 hours of exercise lessons and tutorial activities (plus 2 hours of final examination).

The calendar of the course will be available as soon as possible.

Teacher: to be announced


Registrations are open from the 13th of October 2020 to the 28th of February 2021.

Please, register through the elearning platform (Moodle). Students without a university IT account can ask to be registered by writing an email to the coordinator of the course. All other students must use the procedure on Moodle.

Program

SAS is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics. With SAS it is possible to mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it. It also provides a graphical point-and-click user interface for non-technical users and more advanced options through the SAS language. According to independent bodies, SAS is the largest market-share holder in advanced analytics with 35.4 percent of the market as of 2013. It is the fifth largest market-share holder for business intelligence (BI) software with a 6.9% share and the largest independent vendor. SAS is largely used in the banking and insurance sector.

The course aims to provide the basics of the programming and operating philosophy of the SAS software. After the introduction of the SAS software, of its syntax and main functions, the course will focus on the following topics: data processing and manipulation techniques, report production and use of macros. The course aims at improving the computational skills of the students and at providing the knowledge of a software, which is largely used in some sectors of the job market.

Reference texts
Author Title Publishing house Year ISBN Notes
Olga Korosteleva Advanced Regression Models with SAS and R (Edizione 1) Chapman and Hall/CRC 2019 9780367732424
Carla L. Goad SAS Programming for Elementary Statistics: Getting Started (Edizione 1) Chapman and Hall/CRC 2021 9781138589025
A. John Bailer Statistical Programming in SAS (Edizione 2) CRC Press, Taylor & Francis Group 2020 9780367358006

Examination Methods

Students are required to attend at least 3/4 of the exercise lessons/tutorial activity in order to be admitted to the final evaluation. The final examination, which will take place online through a zoom meeting, will consist of a written exam, followed by an oral examination, if necessary, on the use of the software SAS. There will be just one date for the final examination.

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

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.

Graduation

List of theses and work experience proposals

theses proposals Research area
Tesi di laurea magistrale - Tecniche e problemi aperti nel credit scoring Statistics - Foundational and philosophical topics
Fattori ESG e valutazione d'azienda Various topics
Il metodo Monte Carlo per la valutazione di opzioni americane Various topics
Il Minimum Requirement for own funds and Eligible Liabilities (MREL) Various topics
L'acquisto di azioni proprie Various topics
Proposte Tesi A. Gnoatto Various topics

Linguistic training CLA


Gestione carriere


Internships


Student login and resources