Master of Science in Quantitative Risk Analysis and Management
The Master of Science in Quantitative Risk Analysis and Management (QRAM) program is designed to prepare students for analytical and technical positions within financial institutions, risk management advisory organizations, and the treasury/finance departments of non-financial corporations.
The QRAM program can be completed in 16 months over three semesters by completing 30 credit hours (10 courses). In order to accommodate working individuals, all courses are offered after 4:30 pm. Additionally, there are two dual-degree options available: Master of Actuarial Science degree and the Master of Science in Quantitative Risk Analysis and Management (MAS/QRAM); and Master of Science in Data Science and Analytics degree and the Master of Science in Quantitative Risk Analysis and Management (MSDA/QRAM). The dual-degree programs provide students with increased career opportunities in the financial services industries specializing in the application of quantitative methods to solve complex business problems in an era of convergence between financial services and capital markets.e.
A maximum of 9 semester hours of transfer credit is possible in this 30-hour program or in the 48-hour dual degree program.
These courses are in addition to the 30 hours required for the QRAM degree or in addition to the 48 hours required for the dual degree programs. They are assigned as part of the admissions process based on a review of each student’s transcripts
Mathematics: Students must have completed three semesters of advanced calculus.
Statistics: Students have completed two semesters of undergraduate mathematical statistics .
The majority of M.S. in Quantitative Risk Analysis and Management students complete the program on a full-time basis. However, all required courses are offered after 3:00 p.m. and most after 4:30 p.m. Therefore, it is possible to complete the program without sacrificing significant amounts of time away from the office.
This guide is not intended as a substitute for academic advisement. Schedule may be flexible for part time students. Full-Time internships may be counted as an elective.
MSA 8010 Data Programming for Analytics
ECON 8740 Applied Statistics and Econometrics
QRAM 8600 Theory of Risk Sharing
QRAM 8610 Financial Engineering
RMI 8400 InsurTech
RMI 8300 Predictive Risk Modeling
ECON 8780 Financial Econometrics
QRAM 8630 Interest Rate Models
QRAM 8640 Advanced Credit Risk Modeling