Master of Science in Financial Economics (MSFE)

The Master of Science in Financial Economics programme combines two central strengths of SMU – econometrics and finance – in a programme that meets the loud industry demand for professionals with the skills for deep analysis of increasingly complex financial problems in a new era of dynamic policy and regulation.

Learn how a vast array of novel modelling, forecasting and surveillance methods has been developed in financial theory and econometrics to address the industry challenges. This programme provides a transformative learning experience to students who seek to pursue a career in the finance industry or research.

Why pursue the SMU MSFE?

• Multidisciplinary-Gain from the multidisciplinary delivery of economics, econometrics and financial theory.
• Rigorous curriculum-Learn advanced tools of economic theory, financial econometrics and statistical computation.
• Future proof-Be equipped with the fundamentals to anticipate and handle future financial crises.
• World-class faculty-Learn from the top-notch econometricians, qualified and experienced faculty members and industry practitioners.

Programme Structure

• The Master of Science in Financial Economics (MSFE) programme is a rigorous multi-disciplinary programme that gives you in-depth understanding of financial markets and their interaction with the macroeconomy backed by strong econometrics training for analysing economic and financial data. 

The programme offers two admission pathways:

• Accelerated Pathway (August intake) – students with strong economics knowledge and quantitative techniques are exempted from foundation courses.
• Regular Pathway (January intake) – students from other disciplines who do not have the necessary training in economic theory and quantitative techniques.

Foundation modules

• Principles of Economics 1
• Math for Economics
• Principles of Economics 2
• Further Math for Economics
• Statistical Inference

Core courses

• Econometrics Analysis
• Microeconomic Analysis
• Macroeconomic Analysis
• Corporate Finance
• Financial Econometrics
• Empirical Finance

Specialisation electives

• Continuous Time Financial Economics and Econometrics
• Machine Learning in Economics and Finance
• Mathematics of Fixed Income and Derivative Securities
• Alternative Investments and Distribution
• Portfolio Risk and Performance Analysis
• MSFE Math Camp