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 2025/2026| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | The fashion lab (1 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| 1° 2° | The fashion lab (2 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| 1° 2° | The fashion lab (3 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Marketing plan | D |
Virginia Vannucci
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Internationalization and Sustainability. Friends or Enemies? | D |
Angelo Zago
(Coordinator)
|
| 1° 2° | Internationalization and Sustainability. Friends or Enemies? | D |
Angelo Zago
(Coordinator)
|
| 1° 2° | Internationalization and Sustainability. Friends or Enemies? | D |
Angelo Zago
(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° | Programming in Matlab | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Programming in SAS | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Samsung Innovation Camp | D |
Marco Minozzo
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Business & Predictive Analytics for International Firms (with Excel Applications) - 2021/2022 | D |
Angelo Zago
(Coordinator)
|
| 1° 2° | What paradigms beyond the pandemic? Individual vs. Society, Private vs. Public | D |
Federico Brunetti
(Coordinator)
|
| 1° 2° | Data Discovery for Business Decisions- 2021/2022 | D |
Claudio Zoli
(Coordinator)
|
| 1° 2° | Elements of Financial Risk Management - 2021/2022 | D |
Claudio Zoli
(Coordinator)
|
| 1° 2° | English for business and economics | F |
Claudio Zoli
|
| 1° 2° | Integrated Financial Planning | D |
Riccardo Stacchezzini
(Coordinator)
|
| 1° 2° | Introduction to Business Plan-2021/2022 | D |
Paolo Roffia
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | The fashion lab (1 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| 1° 2° | The fashion lab (2 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| 1° 2° | The fashion lab (3 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | La metodologia SEM applicata allo studio della relazione tra gestione del rischio e performance nelle PMI | D |
Cristina Florio
(Coordinator)
|
| 1° 2° | Laboratory on research methods for business | D |
Cristina Florio
(Coordinator)
|
| 1° 2° | Professional Communication for Economics A.A. 2021-22 | D |
Claudio Zoli
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | How to Enter in a Foreign Market. Theory and Applications - 2021/2022 | D |
Angelo Zago
(Coordinator)
|
Health Economics (2021/2022)
Teaching code
4S008982
Academic staff
Coordinator
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
SECS-P/03 - PUBLIC ECONOMICS
Period
secondo semestre (lauree magistrali) dal Feb 21, 2022 al May 13, 2022.
Learning outcomes
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.
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
Examination Methods
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.
