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International Students
At a glance
Data Analysis for the Social Sciences is part of the Class of Bachelor's Degrees in Statistics (L-41) and aims to offer training characterized by a high degree of interdisciplinarity.
The goal is to train a cultural and professional figure with a broad background in the areas of data organization, management and analysis, the fundamentals of mathematics and computer science as well as methodological and applied statistics.
This course is also enriched with typical courses in the social sciences that look at the comparison with the humanities, so as to establish a connection with the social aspects of information, with the normative ones, with the problems posed by the new information and communication technologies and with those of application of data analysis also in the humanities.
You will become a data analyst, among the most in-demand in the world of work because it is useful in various sectors: information technology and telecommunications, credit and insurance institutions, e-commerce, transportation and logistics, pharmaceutical companies, research institutes and public administration.
The course combines statistical methodologies and computer skills with the social sciences and humanities.
Statistical Technicians; Applications Technicians; Information Acquisition Technicians.
The data analyst supports specialists in experimental research in the collection, organization, and interpretation of data, thus finds a place in supporting quantitative analysis in all public and private institutions and organizations where data and decision-making needs to be managed.
Thanks to the acquisition of methodological tools and the numerous application experiences conducted during the course, data analysts are able to apply knowledge and understanding skills in various professional fields such as:
- enterprises (small, medium and large);
- financial intermediaries (e.g., banks, asset management companies and securities firms);
- consulting and research centers;
- public administration;
- nongovernmental organizations.