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Computational finance and risk management involves using sophisticated mathematical, statistical, and computing techniques to address quantitative financial challenges. Examine financial subjects and analyze the business landscape through a logical, innovative, and analytical quantitative approach.
Undergraduate programs in computational finance and risk management aim to equip students with a strong applied mathematics background and comprehensive knowledge of how mathematical models, statistical techniques, and computational approaches are utilized in financial areas like portfolio management, derivative valuation, and risk assessment.
The BS-CFRM program accelerates students' expertise for professional opportunities across multiple sectors or advanced studies in Mathematical/Computational Finance or Financial Engineering, including the MS-CFRM program. Develop leadership capabilities in an increasingly data-driven world that values strong communication, computational, and quantitative reasoning skills.