Theory and Applications of Regression ModelsGraduate Certificate

Requirements

You must be admitted to this program for the certificate to appear on your official University transcript.

Admission requires:

• An undergraduate statistics course
• Three semesters of calculus, to include multiple integration
• One semester of linear algebra

The following are required skills courses and should be taken first:

• GSLL 3095 – Math Skills for Statistical Analysis (0 cr.)
• GSLL 3096 – Computing Skills for Statistical Analysis (0 cr.)
  or
  STAT 500 – Statistical Computer Packages (1 cr.)

GSLL 3095 is intended not only as a review, but also as instruction in using math skills in a statistical context; it does not replace the math prerequisites indicated. GSLL 3096 covers use of SAS and R Programing. STAT 500 is a one-credit version of GSLL 3096.

Additional coursework may be required due to prerequisites.

Core Courses:

• STAA 551 – Regression Models and Applications (2 cr.)
• STAA 552 – Generalized Regression Models (2 cr.)
• STAA 561 – Probability with Applications (2 cr.)
• STAA 562 – Mathematical Statistics with Applications (2 cr.)

Select two credits from the following:

• STAA 565 – Quantitative Reasoning (1 cr.)
• STAA 566 – Data Visualization Methods (1 cr.)
• STAA 567 – Computational and Simulation Methods (1 cr.)
• STAA 574 – Methods in Multivariate Analysis (2 cr.)

This program can be completed in one year, though completion time will vary based on the number of credits successfully completed each semester.

Courses in this certificate may be common with those in other graduate certificates. A student may earn more than one certificate, but a given course may be counted only toward one certificate.