Master in QUANTITATIVE FINANCE AND DATA SCIENCE FOR ECONOMICS

At Università degli Studi di Perugia, the tuition fee is 818 USD per year.

Quantitative finance and data science for economics combine statistical and computational methods with economic and financial theory to analyse markets, price financial instruments, and study economic behaviour through data. A master's programme in this area typically covers econometrics, financial mathematics, and statistical modelling alongside programming and data analysis techniques used to process large economic and financial datasets. Coursework often includes asset pricing, risk modelling, time series analysis, and machine learning methods applied to economic and financial questions, building on undergraduate training in economics, mathematics, statistics, or a related quantitative discipline. Graduates from programmes of this kind pursue careers in banking, asset management, financial risk analysis, and insurance, where quantitative modelling skills are directly applicable to pricing, forecasting, and risk assessment. Others move into data science roles within economic consultancies, government statistical agencies, or research institutions, applying data-driven methods to policy and market analysis. The combination of economic reasoning with technical data skills also opens pathways into technology companies and any organisation that relies on quantitative economic analysis to inform decisions. This two-year master's programme, Quantitative Finance and Data Science for Economics, is offered by Università degli Studi di Perugia, in the city of Perugia, Italy, and is taught in English. As a master's-level programme, it is intended for students who already hold a bachelor's degree in economics, mathematics, statistics, or a related field. The English-medium format is designed to make this specialised area of study accessible to an international student body at a university based in the Umbria region of central Italy.