Corvinus University of Budapest

What you'll study

This programme emphasises theoretical foundations and empirical methods used in modern economics. Core teaching covers advanced microeconomics and macroeconomics, mathematical economics, and both time-series and cross-sectional econometrics. Students gain practical experience with statistical software and data-handling tools to implement empirical research.

• Core modules: Advanced Microeconomic Theory, Advanced Macroeconomic Theory, Mathematical Methods for Economists, Econometrics I & II (including applied regression, panel data, and time-series analysis).
• Quantitative and applied modules: Computational Methods, Applied Microeconometrics, Financial Econometrics, Causal Inference and Program Evaluation.
• Electives: Choices typically include topics such as Labour Economics, Public Economics, International Trade, Industrial Organisation, Behavioural Economics, Big Data Analytics, and Development Economics.
• Research project / thesis: A substantial dissertation or research project supervised by faculty, allowing students to apply theoretical and econometric tools to a substantive empirical or theoretical question.
• Additional components: Seminars with faculty and visiting researchers, optional internship placements, and workshops on academic writing and presentation skills.

Entry requirements

Applicants are normally expected to hold a bachelor’s degree in economics, business studies, mathematics, statistics, or another quantitatively oriented discipline. A solid foundation in calculus, linear algebra, probability and statistics is required because of the programme’s mathematical emphasis.

• Academic transcripts demonstrating relevant undergraduate coursework and strong quantitative performance.
• A curriculum vitae outlining academic and any relevant work experience.
• A personal statement or motivation letter explaining study objectives and research interests.
• References from academic referees (or a mix of academic and professional references where appropriate).
• Proof of English language proficiency if the applicant’s prior education was not conducted in English; Corvinus accepts recognised language certificates or equivalent evidence of proficiency.
• Some applicants may be invited to an interview or asked to sit a short quantitative assessment to confirm preparedness for the demands of the programme.

Career prospects

Graduates of the Economic Analysis Master’s are prepared for a range of analytical careers in the public and private sectors as well as continued academic study. The programme’s quantitative and empirical focus makes alumni attractive to employers who need rigorous economic modelling and data analysis.

• Economic researcher roles in central banks, finance ministries, statistical offices and international organisations.
• Analyst and consultant positions in economic and policy consultancies, think-tanks and advisory firms.
• Data analyst, quant analyst or risk analyst roles in financial institutions and corporate strategy teams.
• Positions in international organisations and NGOs working on development, trade or public policy evaluation.
• Progression to doctoral study (PhD) in economics or related fields for those pursuing academic or high-level research careers.

Why study at Corvinus University of Budapest

Corvinus is one of the leading institutions in Central Europe for economics and business education, offering a research-active faculty with strengths across applied and theoretical economics. The university’s location in Budapest provides access to regional policy institutions, international organisations and a dynamic economic environment.

• Interdisciplinary connections with business, finance and public policy programmes, enabling broad perspectives on economic problems.
• Strong practical orientation with opportunities for internships and applied research projects that link students to employers and policymakers in Hungary and the wider region.
• Access to modern facilities, data resources and support for student research and conference participation.
• A supportive environment for students aiming to pursue doctoral programmes or careers requiring advanced analytical skills.