COURSE CURRICULUM

The M.S. in Quantitative Finance and Risk Analytics at Rensselaer Polytechnic Institute requires students to complete a structured curriculum designed to provide comprehensive knowledge in finance, analytics, and risk management. The program mandates eight core courses totaling 24 credit hours, including Financial Management I (MGMT 6020), Foundations of Data Science (MGMT 6100), Options, Futures, and Derivatives Markets (MGMT 6370), Quantitative Asset Management (MGMT 6410), Financial Computation and Simulation (MGMT 6510), Financial Modeling and Optimization (MGMT 6520), Introduction to Machine Learning Applications (MGMT 6560), and Risk Analytics and Management (MGMT 7760). These courses equip students with essential skills in financial theory, quantitative methods, computational techniques, and risk assessment critical for success in modern financial industries. In addition to core courses, students select two electives, totaling six credit hours, from a curated list of advanced finance and analytics courses such as Financial Trading and Investing, Fixed Income Securities, Financial Econometrics Modeling, Student Managed Investment Fund, Financial Statement Analysis, and Advanced Data Resource Management, allowing for specialized academic focus aligned with career goals. The program also incorporates two required professional development and career workshops, MGMT 7770 and MGMT 7780, which are zero-credit courses designed to enhance students’ leadership, teamwork, communication, and career readiness, ensuring graduates are fully prepared to meet the demands of the dynamic quantitative finance and risk analytics sector.