the Singapore Management University

What you'll study

The programme combines core training in economic theory and econometric methods with applied modules that emphasise data analysis and policy-relevant research. Students take advanced microeconomics and macroeconomics alongside courses in econometrics, time series analysis and applied microeconometrics. Practical training in statistical and programming tools (commonly R, Stata or Python) is integrated into coursework.

• Core topics: Advanced Microeconomic Theory, Advanced Macroeconomic Theory, Econometric Methods, Applied Econometrics.
• Applied and elective modules: Time Series Econometrics, Microeconometrics, Labour Economics, Industrial Organisation, Public Economics, International Trade and Finance, Financial Economics, Behavioural Economics, and Urban/Development Economics.
• Capstone / research requirement: A supervised research dissertation or a capstone project with an empirical focus, typically requiring original data analysis or policy evaluation. Some students undertake industry practicum or internships where available.
• Skills development: Emphasis on empirical research design, causal inference, data management, forecasting, and communicating quantitative results to policy and business audiences.

Entry requirements

Applicants are normally expected to hold a good bachelor’s degree in economics, econometrics, statistics, mathematics, engineering, or a related quantitative discipline. A demonstrable foundation in calculus, linear algebra, probability and statistics is required.

• Academic transcripts: Official transcripts from previous tertiary institutions.
• Quantitative background: Evidence of quantitative coursework or training; some programmes may request sample coursework or a quantitative test score if the background is not clear.
• Standardised tests and English proficiency: GRE or GMAT may be requested for some applicants; international applicants whose first language is not English will typically need to provide IELTS or TOEFL scores unless exempted.
• Supporting documents: Curriculum vitae, statement of purpose outlining research or career objectives, and academic or professional references.
• Work experience: Not always required for admission, but relevant professional experience can strengthen an application, particularly for part-time or executive enrolment options.

Career prospects

Graduates leave prepared for analytical roles in government ministries, central banks, international organisations, policy institutes, and research centres, where they contribute to policy evaluation, macroeconomic analysis and forecasting. The programme also feeds into financial institutions and consulting firms demanding strong quantitative modelling and data-analytic capabilities.

• Public sector and policy analysis (ministries, central banks, multilateral organisations)
• Economic and financial research in banks, asset management and risk consultancies
• Consulting firms providing regulatory, competition and valuation advice
• Data science and analytics roles that value causal inference and forecasting skills
• Further academic study: graduates commonly progress to PhD programmes in economics or related fields

Why study at the Singapore Management University

SMU is known for its interactive seminar-style teaching and strong emphasis on translating economic theory into practical policy and business applications. The university’s location in Singapore provides proximity to regional policymaking bodies, financial institutions and multinational firms, creating opportunities for internships, guest speakers and applied projects.

• Applied focus: Curriculum designed to equip students with empirical tools used in policy analysis and industry practice.
• Small-class environment: Seminar teaching and close supervision for dissertation and research projects.
• Research-active faculty: Faculty with expertise across macroeconomics, microeconometrics, labour and trade who engage in policy-relevant research.
• Industry links and career support: Access to career services, employer networks and experiential learning that facilitate transitions into public and private sector roles.
• Computing and data resources: Training and access to statistical software and datasets commonly used in empirical economic research.