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Robinson's Master of Science in Quantitative Risk Analysis & Management stands as the sole national program merging advanced financial modeling with specialized risk science training. For 2024, TFE Times ranks our program 4th among public financial engineering programs nationwide and 12th across all institutions.
Our STEM-certified curriculum develops expertise in risk assessment, financial modeling, credit evaluation, and data analysis. Students gain proficiency in InsureTech, financial technology, and machine learning applications. The program culminates in hands-on experience at Robinson's FinTech Lab, where learners tackle real-world challenges through collaborations with financial service providers.
Students can expand their qualifications by pursuing a dual degree in either actuarial science or analytics with just one extra semester - significantly boosting their marketability to potential employers.
Actuarial Science/Quantitative Risk Analysis and Management
This combined degree program integrates quantitative techniques applicable across banking, capital markets, and insurance sectors. Graduates emerge with versatile skills that open doors throughout the financial services industry.
Analytics/Quantitative Risk Analysis and Management
This dual degree program arms students with both data analysis capabilities and quantitative finance methodologies used by financial organizations. Graduates distinguish themselves as uniquely qualified data scientists with specialized financial and risk modeling competencies that surpass conventional data science training.