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.
Type D and Type F activities
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea magistrale in Economics and data analysis - Enrollment from 2025/2026SOFT SKILLS
Find out more about the Soft Skills courses for Univr students provided by the University's Teaching and Learning Centre: https://talc.univr.it/it/competenze-trasversali
CONTAMINATION LAB
The Contamination Lab Verona (CLab Verona) is an experiential course with modules on innovation and enterprise culture that offers the opportunity to work in teams with students from all areas to solve challenges set by companies and organisations.
Upon completion of a CLab, students will be entitled to receive 6 CFU (D- or F-type credits).
Find out more: https://www.univr.it/clabverona
PLEASE NOTE: In order to be admitted to any teaching activities, including those of your choice, you must be enrolled in the academic year in which the activities in question are offered. Students who are about to graduate 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 graduation sessions are valid for students enrolled in the previous academic year. Therefore, students who undertake an activity in an academic year in which they are not enrolled will not be granted CFU credits.
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Ciclo tematico di conferenze: “Conflitti. Riconoscere, prevenire, gestire” - 2022/2023 | D |
Riccardo Stacchezzini
(Coordinator)
|
1° 2° | Securitisation transactions - Focus on securitisations of OF NPL / NPE /UTP | D |
Michele De Mari
(Coordinator)
|
1° 2° | The Fashion Lab - 2022/23 | D |
Caterina Fratea
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Economic Thinking and Thesis Writing | D |
Marco Minozzo
(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° | Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Laboratory on research methods for business | D |
Cristina Florio
(Coordinator)
|
1° 2° | Laboratory on research methods for business | D |
Cristina Florio
(Coordinator)
|
1° 2° | Piano di marketing 2022/23 | D |
Fabio Cassia
(Coordinator)
|
1° 2° | Programming in Mathlab | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Programming in SAS | D |
Marco Minozzo
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 | D |
Angelo Zago
(Coordinator)
|
1° 2° | Elements of Financial Risk Management - 2022/23 | D |
Claudio Zoli
(Coordinator)
|
1° 2° | English for business and economics | F |
Claudio Zoli
(Coordinator)
|
1° 2° | Introduction to Business Plan - 2022/23 | D |
Paolo Roffia
(Coordinator)
|
1° 2° | Soft skills training for economics - 2022/23 | D |
Claudio Zoli
(Coordinator)
|
1° 2° | Topics in applied economics and finance - 2022/23 | D |
Claudio Zoli
(Coordinator)
|
1° 2° | Experience 3 Days as a Manager | D |
Riccardo Stacchezzini
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Data Discovery for Business Decisions 2022/2023 | D |
Claudio Zoli
(Coordinator)
|
1° 2° | The Chartered Accountant as a business consultant | D |
Riccardo Stacchezzini
(Coordinator)
|
1° 2° | Integrated Financial Planning 2022/2023 | D |
Riccardo Stacchezzini
(Coordinator)
|
1° 2° | Predictive Analytics for Business Decisions 2022/2023 | D |
Claudio Zoli
(Coordinator)
|
1° 2° | Professional Communication for Economics 2022/2023 | D |
Claudio Zoli
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Project "B-EDUCATION: ideas that count" - 1 cfu | D |
Roberto Bottiglia
(Coordinator)
|
1° 2° | Project "B-EDUCATION: ideas that count" - 2 cfu | D |
Roberto Bottiglia
(Coordinator)
|
Health Economics (2022/2023)
Teaching code
4S008982
Teacher
Coordinator
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
SECS-P/03 - PUBLIC ECONOMICS
Period
Secondo semestre (lauree magistrali) dal Feb 20, 2023 al May 19, 2023.
Learning objectives
The course introduces students to the main issues involved in the analysis of the relationship between economic and health variables. Microeconomic theory will be used to illustrate the determinants of demand and supply of health and health care. The course will also investigate the interaction between public and private suppliers of health related services and commodities, as well as the role of regulation. At the end of the course students should be able to understand the key characteristics of modern health care systems and the main challenges posed by their organization and financing. They should also be able to use appropriate techniques and data to support decisions related to health care, including those related to the efficient allocation of scarce resources. To this end, students will be given the opportunity to work in groups on real world situations and to learn how to use appropriate software to address complex situations.
Prerequisites and basic notions
Students are expected to be able to interpret and solve simple microeconomic models and to have knowledge of fundamental concepts of statistics and econometrics
Program
- The link between economic variables and health
- The demand for health and health care: individual and aggregate dimensions
- Market failures in health care markets
- The organization of health care supply
- Key Features of some Health Care Systems around the world
- Asymmetry of information and contracts in the provision of health care
- Economic evaluation of health care interventions
- Introduction to computer programming for economic evaluation
- Economic incentives and innovation in health care
Bibliography
Didactic methods
Teaching will include both lectures and computer lab sessions. Students will be given the opportunity to apply the methods learnt during the course for the solution of real problems.
Learning assessment procedures
Assessment will be based on a written exam (including both theoretical and practical questions). Students are also expected to show ability to apply concepts and methods to real-world situations. Students may opt to base part of their exam on a project work.
Evaluation criteria
The evaluation will take into consideration: the understanding of the contents and methods, the ability to adequately apply the contents to specific situations, the ability to deepen and re-elaborate the contents
Criteria for the composition of the final grade
The evaluation will be based on the result of the written test. For students who choose to work on a project work, the evaluation of this will contribute, with equal weight to the written test, to the determination of the final grade.
Exam language
Inglese