Applications of regression analysis, generalized regression models, probability and mathematical statistics and other topics in statistical analysis. The focus is on the practical methods in regression analysis, understanding patterns and structure in data, and the explanation of findings.
Distinctive Requirements for Certificate: GSLL 3095 and GSLL 3096 (or STAT 500) are required skills courses and should be taken first. GSLL 3095 is intended not only as a review, but also as instruction in using the math skills in a statistical context. It does not replace the math prerequisites indicated. GSLL 3096 covers use of SAS and R programming. STAT 500 is a 1-credit version of GSLL 3096.
Effective Spring 2017
Additional coursework may be required due to prerequisites.
|Required Credit Core:|
|STAA 551||Regression Models and Applications||2|
|STAA 552||Generalized Regression Models||2|
|STAA 561||Probability with Applications||2|
|STAA 562||Mathematical Statistics with Applications||2|
|Select two credits from the following:||2|
|Data Visualization Methods|
|Computational and Simulation Methods|
|Methods in Multivariate Analysis|
|Program Total Credits:||10|
*This certificate may have courses in common with other graduate certificates. A student may earn more than one certificate, but a given course may be counted only in one certificate.