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 551Regression Models and Applications2
STAA 552Generalized Regression Models2
STAA 561Probability with Applications2
STAA 562Mathematical Statistics with Applications2
Select two credits from the following:2
Quantitative Reasoning
Computational and Graphical Methods
Computational and Simulation Methods
Methods in Multivariate Analysis
Total Credits10

*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.