Dual Degree in Quantitative Risk Analysis and Management and Master of Science in Analytics, QRAM/M.S.A.

Degree Requirements

This section is applicable to students interested in the Master Science in Analytics and Master of Science in Quantitative Analysis and Management dual degree program.

Required Technical Support Course

The following course must be completed within the first 18 hours of 8000-level course work.

ECON 8740 - Applied Statistics and Econometrics 3 Credit Hours

Required Course in the Dual Degree

MSA 8010 - Data Programming for Analytic 3 Credit Hours
MSA 8040 - Data Management for Analytics 3 Credit Hours
MSA 8050 - Scalable Data Analytics 3 Credit Hours
MSA 8100 - Optimization Methods in Analytics 1.5 Credit Hours
MSA 8150 - Machine Learning for Analytic 3 Credit Hours
MSA 8200 - Econometric Predictive Analytics 1.5 Credit Hours
Alternatively, students can take ECON 9720
QRAM 8610 - Financial Engineering 3 Credit Hours
QRAM 8630 - Interest Rate Models 3 Credit Hours
RMI 8300 - Predictive Risk Modeling 3 Credit Hours
RMI 8370 - Financial Risk Management 3 Credit Hours
RMI 8450 - Machine Learning in Actuarial Science and Risk Management 3 Credit Hours
ECON 8780 - Financial Econometrics 3 Credit Hours

Elective Courses

Students should consult with the program directors for the Master of Science in Analytics and the Master of Quantitative Risk Analysis and Management programs prior to beginning their elective coursework and may select from among the following courses:

Students may select, with the prior approval of both Faculty Directors for the dual degree program, electives other than those shown above if they can demonstrate the course(s) will better meet their educational objectives.

Any of the 8000 level QRAM or MSA classes not listed in the above course list
ECON 8860 - Economics of Global Finance 3 Credit Hours
FI 8020 - Financial Analysis and Loan Structuring 3 Credit Hours
FI 8240 - Global Portfolio Management 3 Credit Hours
FI 8260 - Hedge Funds And Their Trading Strategies 3 Credit Hours
FI 8300 - Advanced Corporate Finance 3 Credit Hours
FI 8310 - Investment Banking 3 Credit Hours
FI 8460 - The FinTech Ecosystem 3 Credit Hours
FI 9100 - The Theory of Asset Valuation 3 Credit Hours
MGT 8040 - Data Mining 3 Credit Hours
MSA 8050 - Scalable Data Analytics 3 Credit Hours
MSA 8100 - Optimization Methods in Analytics 1.5 Credit Hours
MSA 8150 - Machine Learning for Analytic 3 Credit Hours
MSA 8190 - Statistical Foundations for Analytics 3 Credit Hours
MSA 8500 - Graph Analytics 3 Credit Hours
MSA 8650 - Advanced Deep Learning with Business Applications 3 Credit Hours