Most graduate students in CALS involved in research that requires use of experiment design and statistical analysis are required by their program curricula or by their advisory committees to take a basic graduate level statistics sequence like ST511,512. In this sequence, students attend
a scheduled lab where they learn to use the SAS language and the use of the Statistics Instructional Computing Laboratory (SICL) facilities. The following is a list of courses offered by the department which may be taken beyond the ST511,512 sequence without further Statistics prerequisites:
| ST505 | Applied Nonparametric Statistics |
| ST506 | Sampling Animal Populations |
| ST524 | Statistics in Plant Science |
| ST520 | Statistical Principles of Clinical Trials and Epidemiology |
| ST621 | Statistical Problems in Toxicology |
| ST708 | Applied Least Squares |
| ST711 | Design of Experiments |
| ST721 | Genetic Data Analysis |
| ST730 | Applied Time Series |
| ST731 | Applied Multivariate Analysis |
| ST732 | Applied Longitudinal Data Analysis |
| ST733 | Applied Spatial Statistics |
| ST756 | Computational Molecular Evolution |
| ST770 | Statistical Concepts in Genetics |