Graduate School Preparation
Qualified students are encouraged to continue their studies. Department graduates
have attended Cal. Tech., Carnegie-Mellon, Cornell, Dartmouth, Drexel, North Carolina,
Ohio State, South Carolina, Virginia, William and Mary, among many others; and have
earned graduate degrees in chemistry, computer science, economics, statistics, operations
research, as well as mathematics. A number of students have attended law school.
Below are some additional courses we recommend for students interested in graduate
school in the indicated areas.
Mathematics
The following complements to the Mathematics major are suggested to prepare for graduate study in Mathematics:
MAS 325 Geometry| Axiomatic development of absolute, Euclidean and non-Euclidean geometries. |
MAS 335 Operations Research| Introduction to some operations research techniques including linear programming, queuing theory, project scheduling, simulation and decision analysis. |
MAS 372 Mathematical Statistics| An introduction to the mathematical foundations of statistics including sampling distributions, estimation, hypothesis testing, linear models and multivariate distributions. |
MAS 390 Special Topics
MAS 500 Independent Study
Statistics
The following complements to the Mathematics major are suggested to prepare for graduate study in statistics:
ASC 472 Loss Distrib. & Credibility| An introduction to loss distributions and credibility theory with emphasis on actuarial applications. |
MAS 372 Mathematical Statistics| An introduction to the mathematical foundations of statistics including sampling distributions, estimation, hypothesis testing, linear models and multivariate distributions. |
MAS 500 Independent Study
Operations Research
The following complements to the Mathematics major are suggested to prepare for graduate study in operations research:
MAS 335 Operations Research| Introduction to some operations research techniques including linear programming, queuing theory, project scheduling, simulation and decision analysis. |
MAS 372 Mathematical Statistics| An introduction to the mathematical foundations of statistics including sampling distributions, estimation, hypothesis testing, linear models and multivariate distributions. |
MAS 500 Independent Study