Below are electives a student might select based on interest area. These courses are recommended as a guide in course selection; however, they are not required.
Admittance into any course below is not guaranteed. All courses are subject to availability.
FINANCE
| GR5221 | Time Series Analysis |
| GR5207 | Elementary Stochastic Processes |
| GR5264 | Stochastic Processes-Applications I |
| GR5263 | Stat Inf/Time Series Modelling |
| GR5265 | Stochastic Methods in Finance |
| GR5261 | Statistical Methods in Finance |
DATA SCIENCE SEQUENCE IN STATISTICS
| GR5206 | Stat Computing & Intro to Data Science (prerequisite for GR5241) |
| GR5241 | Statistical Machine Learning (prerequisite for GR5242) |
| GR5242 | Advanced Machine Learning |
*Note: The Data Science sequence includes GR5206 offered in the fall which is a prerequisite for GR5241 offered in the spring. Both courses are a prerequisite for the course, GR5242: Advanced Machine Learning.
PHARMACEUTICAL INDUSTRY OR PUBLIC HEALTH
| GR5232 | Generalized Linear Models |
| GR5222 | Non-Parametric Statistics |
| GR5231 | Survival Analysis |
ACTUARIAL SCIENCE AND THE INSURANCE INDUSTRY
| GR5231 | Survival Analysis |
| PS5823 | Actuarial Models |
| GR5207 | Elementary Stochastic Processes |