The course combines solid training in conceptual and methodological aspects with an applied component based on the use of various statistical and data analysis software programmes. Students are encouraged to develop not only methodological and technical skills, but also a critical ability to interpret data from extensive information gathering. The practical component works with different types of databases, including primary and secondary data.

The core area of the course is Statistics and Data Analysis (SDA), now recognised as an indispensable dimension of training and research in the Social Sciences. Its relevance is evident in the growing availability of data from multiple sources, ranging from large international surveys, such as the Programme for International Student Assessment (PISA), the Trends in International Mathematics and Science Study (TIMSS), the European Social Survey (ESS), the European Values Study (EVS), and the International Social Survey Programme (ISSP), to other complex databases used in social research.  Its added value also lies in preparing students to produce robust analyses, integrated into reports, theses and scientific articles supported by solid quantitative evidence, enabling them to develop rigorous work in line with international research standards.

At the end of the course, participants will be prepared to collect, analyse and interpret data rigorously, applying the knowledge acquired in research projects and in the preparation of technical or scientific reports.