Quantitative Economics University of Tartu

Overview

The master’s programme in Quantitative Economics gives students strong preparation in contemporary economic theory and econometric analysis methods, enabling them to analyse and forecast economic processes. 

Why study Quantitative Economics at the University of Tartu ?

• The University of Tartu is ranked in the top 350 universities in the world (THE World University Rankings 2025).
• You have an opportunity to receive two diplomas by spending your second study year at Ghent University.
• Cooperation with the Bank of Estonia offers access to expert lecturers from the bank, as well as internship and post-graduation employment opportunities.
• Graduates can follow a career as analysts in banks, public sector organisations, consulting firms and international companies. 80% of our alumni work in Estonia.
• Study at the University of Tartu Delta Centre, which brings together a vibrant community of students, researchers and innovators in the fields of computer science, business and economics, mathematics and statistics.

Career opportunities

The objective of the curriculum is to prepare highly qualified analysts for government agencies, banks, international organisations and consultancy firms, filling top positions that require a detailed understanding and application of economic models and econometric methods.

Our graduates work in diverse sectors, including various financial companies, consultancy firms, think tanks, multinational companies, and universities. Examples of employers include Google (Ireland), Bolt (Estonia), Finnair (Finland, Estonia), think-tanks (PMCG in Georgia, Centar and Praxis in Estonia), universities (Tbilisi State University in Georgia, University of Tartu, University of Cambridge in the UK), banks (Swedbank, Bigbank, Luminor in Estonia), Fintechs (Wise, Fortumo).

As to the occupations and job tasks, many graduates are working as different kinds of data analysts. This is supported on the one hand by a strong emphasis on statistics, econometrics and data science courses during the master's studies, and on the other hand by the high demand for data scientists in the labour market.