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Data Analysis for International Relations

9094

Credits: 4 ECTS

First semester, Second semester

Elective Courses

English

Faculty

Summary

Data Analysis for International Relations allows students to learn fundamental skills and several advanced research methods to analyze quantitative data.  The course considers both the analytical logic of the methods and their practical application using statistical software.  It provides students with the analyst capabilities commonly demanded in jobs that require understanding and performing quantitative data analysis. 

Students start learning about the creation and management of datasets, various descriptive statistical analyses, and the computation and interpretation of significance tests.  The course continues with basic and advanced OLS regression analysis, logistic regression for binary outcomes, factor analysis, and longitudinal analysis.

The course starts in the second half of the final semester of IBEI’s Masters, enabling students to practice the methods taught with data on their own Master’s tesina.  Nevertheless, datasets will be provided in the course to practice the methods learned.  The course exercises illustrate various international relations and development topics, including economic growth analysis.

Assessment

The course consists of nine class sessions of two hours each held in a computer lab.  Classes consider the explanation of the course concepts and analytical tools and their practice using statistical software to solve exercises.  Handouts of course notes will be distributed, which should be complemented with the class explanations and some specific pages of the reference bibliography.

The evaluation of students is based on a take-home exercise that considers the different topics learned during the course, as well as on their active class participation (answering questions and solving class exercises).  The final grade results from the combination of these two components according to the following percentages: take-home exercise (80%); active class participation (20%)

Studies