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Program Overview

 

The Master of Science in Economics is a standard two years Master program (120 ECTS), completely taught in English. Mandatory and fundamental teaching activities take place in the first year of the Master course; in the second year, teaching activities are mostly elective and a student can tailor a personal specialization track toward the final Master Dissertation by selecting from a wide range of advanced topics covering both economic analysis and quantitative methods. Download here the draft of MSE study guide 2018/2019.

MSE offers two curricula: General Economics and Official Statistics. Official Statistics has been recently awarded by the European Commission with the label EMOS (European Master in Official Statistics). More specific information on curriculum OS can be found here.

In particular, the structure of the Master (Laurea Magistrale) in Economics in 2018-2019 A.Y. is the following:

 

FIRST YEAR (60 ECTS)
Advanced Econometrics (9 ECTS)
Advanced Macroeconomics (12 ECTS)
Advanced Microeconomics (12 ECTS)
Advanced Statistics (9 ECTS)

 

Curriculum General Economics (GE)

Mathematical Methods for Economics (12 ECTS)

European Economic Law (6 ECTS)

 

Curriculum in Official Statistics (OS)

Official Statistics (Internship) (12 ECTS)

European Economic Law (6 ECTS)

 

SECOND YEAR (60 ECTS)

Student’s choice for a total of 12 ECTS:

Business and Society (6 ECTS)
Corporate Finance (6 ETCS)
Economics of Management and Innovation (6 ECTS)
Regional Development (6 ECTS)

 

Student’s choice for a total of 24 ECTS:
Small Area Methods for Analysis of Multidimensional Poverty Data and Seminars (9 ECTS)

Analysis of Survey data and Small Area Estimation*
(6 ECTS)
Classical Economics (3 ECTS)
Computational Economics (6 ECTS)
Economic Growth in History (9 ECTS)
Economic Policy (6 ECTS)
European Indicators of Poverty and Vulnerabilities for Sustainable Development Goal and Seminars (9 ECTS)
European Statistical System and Data Production Model* (6 ECTS)
Financial Economics (9 ECTS)
Public Economics (6 ECTS)
Globalization and Economic Development (6 ECTS)
History of Economic Thought (6 ETCS)
Industrial Economics (6 ECTS)
International Political Economy (6 ECTS)
Labour Economics in an European Perspectives (6 ECTS)
Mathematical Methods for Financial Markets (6 ECTS)
Survey Methods (6 ECTS)
The Economics of European Regions (9 ECTS)
The Economics of European Union (6 ECTS)
Time Series Econometrics (6 ECTS)

 

Student’s free choice (9 ECTS)
Final dissertation (15 ECTS)

 

SECOND YEAR (60 ECTS)

Student’s choice for a total of 12 ECTS:

Business and Society (6 ECTS)
Corporate Finance (6 ETCS)
Economics of Management and Innovation (6 ECTS)
Regional Development (6 ECTS)

European Statistical System and Data Production Model*
(6 ECTS)

Survey Methods (6 ECTS)

Student’s choice for a total of 6 ECTS:

Analysis of Survey Data and Small Area Estimation*
(6 ECTS)
Time Series Econometrics (6 ECTS)

Final dissertation in Official Statistics (30 ECTS)

 

 

 

 

*Analysis of Survey data and Small Area Estimation is borrowed on Analysis of European Data by Small Area Methods.
European Statistical System and Data Production Model is borrowed on European Local Indicators of Poverty and Living conditions

 

Some important qualifications are in order for the curriculum OS. The curriculum is crucially based on an internship in the first year and a final dissertation in the second year jointly organised with ISTAT (the Italian national statistical authority). MSE has an organic agreement with ISTAT which includes a very limited number of positions (about 10 in a.y. 2018/2019) for these two activities. The selection among the interested students will happen just after the start of the second semester (March) of the fist year. The selection will be mainly based on the results of the exams of the first semester. Students are advised that curriculum OS cannot be taken without an internship and a final dissertation organised with an European national statistical authorities, and that only the positions at ISTAT are available so far. Our suggestion for all first-year students interested in curriculum OS is to follow both Advanced Statistics and Mathematical Methods, even though the latter is not present in the curriculum; both courses are key elements of the evaluation to access to the curriculum OS, and are very important for the courses of the second term.






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