Master in ECONOMICS & DATA SCIENCE

Tuition fees are 3,695 USD per year.

Economics and Data Science combines the theoretical and empirical tools of economics with the statistical and computational methods of data science, training students to analyse economic behaviour, markets, and policy using large datasets. Typical subjects include microeconomics, macroeconomics, econometrics, statistics, machine learning, and programming for data analysis, along with applied coursework that uses real economic and financial data to test theories and inform decisions. The combination reflects a broader shift in economics toward data-intensive methods, as more economic questions are now approached through large-scale empirical analysis rather than theory alone. Graduates from this kind of program typically move into roles as data analysts, economic consultants, research analysts, or quantitative analysts within banks, consulting firms, government agencies, and research institutions. Because the training combines economic reasoning with technical data skills, graduates are also well positioned for roles in policy analysis, market research, and business intelligence, where understanding both the economic context and the underlying data is important. This master's degree in Economics and Data Science is taught in English at Universita degli Studi di Genova, in Genova, Italy, over a duration of 2 years. As a second-cycle program, it is aimed at students who already hold a bachelor's degree, often in economics, statistics, mathematics, or a related quantitative field, and who wish to build stronger technical skills in data analysis alongside their economic training. Based in Genova, a major port city in northwestern Italy with a long commercial and maritime history, the program offers an English-language route into the growing field of data-driven economic analysis.