Xiamen University

What you'll study

The programme builds a solid foundation in modern economic theory and equips students with advanced quantitative tools for empirical analysis. Core topics typically include microeconomic theory, macroeconomic theory, advanced econometrics, time series analysis, panel data methods and stochastic processes. Students also study computational methods, optimisation, and applied quantitative techniques such as machine learning for economics, causal inference and structural modelling.

Teaching is delivered through a combination of lectures, seminars, problem classes and supervised research. Typical modules and subject areas include:

• Advanced Microeconomics: decision theory, game theory and general equilibrium methods.
• Advanced Macroeconomics: dynamic stochastic general equilibrium models, monetary and fiscal policy analysis.
• Econometrics and Time Series: estimation and inference, cointegration, VARs, ARCH/GARCH models and forecasting techniques.
• Panel Data and Applied Econometrics: fixed/random effects, endogenous regressors and causal identification strategies.
• Computational Economics and Optimisation: numerical methods, simulation, computationally intensive estimation and optimisation algorithms.
• Financial and Development Economics (electives): empirical methods applied to financial markets, international trade, and development policy.
• Research Methods and Thesis: training in research design, academic writing and a supervised master’s dissertation or research project.

The programme emphasises hands-on empirical work: students use statistical software (such as R, Stata, Python or MATLAB) for coursework and their dissertation research.

Entry requirements

Applicants are normally expected to hold a relevant bachelor’s degree in economics, mathematics, statistics, finance, engineering or a closely related discipline. A strong quantitative background is essential: demonstrated competence in calculus, linear algebra, probability and statistics will be required.

Typical application documents include an academic transcript, a statement of purpose, one or more academic references, and a curriculum vitae. International applicants are usually required to provide proof of proficiency in English or Chinese, depending on the language of instruction. Some applicants may be asked to attend an interview or to sit an entrance examination as part of the selection process.

Career prospects

Graduates of the Quantitative Economics master’s programme are prepared for a range of careers that demand strong analytical and empirical skills. Common career paths include:

• Researcher or analyst in government agencies, central banks and public policy institutions.
• Economic analyst or quantitative researcher in financial institutions, banks and asset management firms.
• Consultant in economic or strategy consultancies working on policy evaluation, forecasting and modelling.
• Data scientist, quantitative analyst or model developer in technology firms and fintech companies.
• Progression to doctoral study (PhD) in economics or related quantitative disciplines for those pursuing academic or high-level research careers.

Why study at Xiamen University

Xiamen University has a long tradition in economics teaching and research and its economics faculty hosts scholars working across theoretical and applied fields. The university’s location on China’s southeast coast provides distinctive opportunities to study regional economic development, international trade and cross-strait economic relations.

Students benefit from access to research centres, seminars with visiting scholars, and collaborative projects with industry and policy institutions. The campus offers comprehensive academic resources, computing facilities and statistical software support that underpin quantitative training and empirical research. For students seeking exposure to China’s dynamic economic environment alongside rigorous quantitative methods, Xiamen University provides a supportive academic setting and strong links to public and private sector employers.