Robinson's M.S. in Quantitative Risk Analysis & Management is the only program in the nation that combines cutting-edge financial modeling with a risk science focus. For 2024, TFE Times ranks us 4th in the nation among public financial engineering programs and 12th overall.<br><br>Through a STEM-designated curriculum, you will build skills in risk analysis, financial modeling, credit analysis, and data analytics. You also will develop a mastery of InsureTech, fintech, and machine learning. Youll put all your knowledge to the test in Robinson's FinTech Lab, where you will collaborate with financial services firms on complex projects.<br><br>In just one additional semester, you can earn a dual degree in either actuarial science or analytics, making your skill set doubly attractive to employers.<br><br>Actuarial Science/Quantitative Risk Analysis and Management<br>This dual degree combines the quantitative methods used in not only banking and capital but also insurance markets. The program enables graduates to widen their career perspectives in any financial services sector.<br><br>Analytics/Quantitative Risk Analysis and Management<br>This dual degree equips students with the data analytics skills and quantitative finance methods used in financial institutions. Successful graduates are transformed into highly sought-after data scientists with financial/risk modeling expertise. Their skill set stands out from traditional data scientists.