Students in this major build a strong foundation in economic and financial theory, statistics, probability, financial mathematics, and programming, then progress to advanced topics in quantitative analysis, financial derivatives, risk evaluation, big data-driven financial decision-making, and computational finance. The curriculum emphasizes both theoretical rigor and practical application, equipping students with skills to analyze data, model financial systems, and design financial products using modern analytical and computing tools.
Graduates are prepared for careers in investment banking, risk management, quantitative analysis, asset and portfolio management, financial technology (fintech), and financial consulting, as well as for advanced study or research in quantitative finance, data science, and related fields where financial engineering expertise is in demand.
NOTE: The university may have additional program-specific eligibility requirements. It is recommended to verify these on the official university website.