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 |
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primo semestre lauree magistrali | Oct 1, 2018 | Dec 21, 2018 |
secondo semestre lauree magistrali | Feb 25, 2019 | May 31, 2019 |
Session | From | To |
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sessione invernale lauree magistrali | Jan 7, 2019 | Feb 22, 2019 |
sessione estiva lauree magistrali | May 27, 2019 | Jul 5, 2019 |
Sessione autunnale | Aug 26, 2019 | Sep 13, 2019 |
Session | From | To |
---|---|---|
Sessione autunnale (validità a.a. 2017/18) | Dec 6, 2018 | Dec 7, 2018 |
Sessione invernale (validità a.a. 2017/18) | Apr 3, 2019 | Apr 5, 2019 |
Sessione estiva (validità a.a. 2018/19) | Sep 10, 2019 | Sep 11, 2019 |
Period | From | To |
---|---|---|
Festa di Ognissanti | Nov 1, 2018 | Nov 1, 2018 |
Festa dell’Immacolata | Dec 8, 2018 | Dec 8, 2018 |
Vacanze di Natale | Dec 22, 2018 | Jan 6, 2019 |
Vacanze di Pasqua | Apr 19, 2019 | Apr 23, 2019 |
Festa della liberazione | Apr 25, 2019 | Apr 25, 2019 |
Festa del lavoro | May 1, 2019 | May 1, 2019 |
Festa del Santo Patrono - S. Zeno | May 21, 2019 | May 21, 2019 |
Attività sospese (vacanze estive) | Aug 5, 2019 | Aug 23, 2019 |
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
Taschini Luca
luca.taschini@univr.it 045 802 8736Study 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
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2° Year activated in the A.Y. 2019/2020
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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.
Type D and Type F activities
Data discovery for business decisions (2018/2019)
Teaching code
4S007982
Teacher
Coordinator
Credits
2
Also offered in courses:
- Data discovery for business decisions of the course Master’s degree in Banking and Finance
Language
English
Scientific Disciplinary Sector (SSD)
NN - -
Period
Not yet assigned
Learning outcomes
This is an optional module for the equivalent of 2 credits and 12 hrs of classes/laboratory activities. The module is coordinated with SDG Consulting Italia with the contribution of SDG experts in Business Analytics.
It will introduce students to the Corporate Performance Management landscape and aims at developing skills on Business Intelligence tools management.
It will be an opportunity for student for experiencing data analysis closely related to the main activities of a consulting company working on business analytics, Students will be involved in studies of business cases with mapping of data-intensive processes, business model analysis and assessment of business needs.
At completion of the module students should be able to:
- Understand the main tasks and information relevant for designing analytical solutions supporting business processes and decisions
- Master the main techniques for predictive analytics to support business decisions.
Program
The program includes class lecures on one of the most relevant Business Intelligence tools and its main functionalities, followed by a lab workshop (over two days) were students will simulate a business case starting from the customer needs up to the translation into a data model and the connected reporting analytics (KPI, Variances,..).
Classes will cover the subjects of:
1. Scope and methodology for Business Intelligence initiatives
2. Modelling and implementing solutions supporting business processes and decisions
3. How to Navigate Master data, Choose Metrics and Generate Insights
4. Predictive Analytics: using many techniques from datamining, statistics, modelling, machine learning, and artificial intelligence to analyse current data to make predictions about future.
5. Workshop:
a. How to analyse the dimensional context and collect data
b. Decision making: understand the situation, generate and evaluate alternatives, simulate decisions
c. Sales Analysis (by Customer, Area, Channel, Product,..)
d. Profitability calculation (by Product, Channel, Top Customers)
e. Variance Analysis (Quantity, Price, Mix)
f. Brand Performance
g. P&L Forecast and Budget simulation
Classes and labs activities will be integrated by coursework activitites based on the the elaboration and critical analysis of the material developed in lab.
Reference material will be made available during the laboratory activities.
Author | Title | Publishing house | Year | ISBN | Notes |
---|---|---|---|---|---|
Piegorsch, Walter | Statistical data analytics | Chicester: Wiley | 2015 |
Examination Methods
A final assessment of the coursework will be based on the evalutaion of a report submitted by students and based on the analysis of the business cases discussed in the workshop on “Multidimensional Data Analysis for Business Decision Making”. The report will have to include comments and output results from the workshop analysis as well as critical assessments of the process and will have to adress methodological questions related to the content of the module.
Attendance and a positive final assessment of the report are required in order to be entitled to the 2 credits associated with the module.
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.
Linguistic training CLA
Gestione carriere
Student login and resources
Graduation
List of thesis proposals
theses proposals | Research area |
---|---|
La (cattiva) gestione dei fondi comunitari in Italia | ECONOMICS - ECONOMICS |
PMI (SMES) and financial performance | MANAGEMENT OF ENTERPRISES - MANAGEMENT OF ENTERPRISES |
Analisi dell'Impatto della Regolamentazione: potenziale e applicazioni concrete | 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 |
Contingent valuation for the quality of hospital characteristics | Various topics |
Evaluating occupational impacts of large investment projects | Various topics |
Internships
Admission policy
ADMISSION POLICY
The admission procedure for international students is explained in details at:
www.magecverona.it/admission-benefits/
For further information please contact magec@dse.univr.it
Additional information
Additional information
For further information visit the program website, http://magec.dse.univr.it, or send an email at magec@dse.univr.it.