University of Milan · Italy
Data Science for Economics and Health
The Master's degree program in Data Science for Economics and Health (DSEH) is taught entirely in English and aims to equip students with advanced knowledge of methodologies and tools in computer science, statistics, and mathematics. This program focuses on interpreting and analyzing complex phenomena within economics and health sectors. Students will gain expertise in emerging information technologies for data management and analysis in cloud environments, advanced statistical and mathematical techniques, and machine learning for information extraction and classification. The curriculum also covers economic theory, decision theory under uncertainty, econometrics, time-series analysis, biostatistics, and epidemiology.
The DSEH program offers students the flexibility to customize their studies through elective courses across three specialization paths: "Data Science," "Economic Data Analysis," and "Health." The "Data Science" path focuses on methodological and technological innovation, advanced statistics, social media analysis, and textual analysis for data-driven business. The "Economic Data Analysis" path provides tools for economic applications in policy assessment, investment analysis, production processes, and environmental issues. The "Health" path concentrates on analyzing medical data, understanding exposure-health relationships, and evaluating epidemiological literature.
This program is designed to provide a solid methodological foundation, integrating lectures, laboratory classes, project work, and practical activities with real-world case studies. Graduates will be well-prepared for PhD programs and research in Data Science, Computer Science, Economics, and Epidemiology and Public Health.
