The Department of Statistics offers a Graduate Certificate in Applied Statistics, which is a 12 credit-hour certificate program meant to complement graduate work in another (non-statistics) program. Coursework includes topics in basic and more advanced statistical methods as well as programming. Because of the interdisciplinary nature of the program, a student must take classes from multiple departments to count towards the certificate.

The certificate requires twelve hours (or more) of coursework comprised of four specific topical groupings of courses that can be satisfied in a variety of ways:

1.  Introductory Statistics

Describing data, producing data, drawing conclusions from data

Satisfied by STA 671, EHS 667, GTY 708, PSY 601, STA 501+562, or other comparable course(s) approved by the Coordinating Committee.

2.  Regression and Experimental Design

Linear, multiple regression, logistic regression, ANOVA models (blocking, factorial treatments, etc.)

Satisfied by STA 672, EHS 668, GTY 718, PSY 602, STA 563, or other comparable course(s) approved by the Coordinating Committee.

3.  Statistical Programming

Computer-based solving of data analytic problems

Satisfied by STA 502, STA 504, CSE 603, or other comparable courses(s) approved by the Coordinating Committee.

4.  Advanced Methods

Satisfied by any of the STA topics classes at the 5xx/6xx level (e.g., STA 583 Time Series, STA 527 Bayesian Methods), GTY 750 (methods topics class), CSE 620 (bioinformatics), PSY 694 (Advanced Regression Analysis), or other comparable courses(s) approved by the Coordinating Committee.

A Completion Form can be found on the Graduate Studies website, near the bottom of te page. If you have completed the requirements for this certificate, fill it our and submit it to the Coordinating Committee Chair, Dr. Jing Zhang (zhangj8@MiamiOH.edu).

Comments:

The certificate is available to any graduate student except those receiving a masters degree in Statistics.  A student interested in working on the graduate certificate in applied statistics will submit a proposed course sequence that will satisfy the following:

i)  Twelve hours (or more) of courses spanning items 1 - 4 above.  If a student meets a requirement based on undergraduate or previous coursework (e.g., introductory statistics), then they would take additional hours in advanced methods classes.

ii)  Courses must be taken from at least two departments.

iii)  Computation is critical in modern statistical methods.  As such, a statistical programming course is explicitly part of this requirement.  This course is beyond a using-stat-software-from-the-GUI (graphical user interface) class.

iv)  Courses listed in items 1-4 above are automatically approved.  Other courses can be petitioned to satisfy the certificate requirements.  The Coordinating Committee for the Applied Statistics Certificate will review these petitions.

v)  Changes to these guidelines may be approved by petition.  For example, a Ph.D. student in ecology might petition to count four STA classes toward the certificate.  The Coordinating Committeefor the Applied Statistics Certificate will review these petitions.


GCAS Coordinating Committee Members:
STA - Jing Zhang, John Bailer
BOT - Hank Stevens
CHM - Ellen Yezierski
CSE - John Karro
KNH - Rose Marie Ward
IMS - Glenn Platt
PSY - Robin Thomas
SOC/GTY - Scott Brown

For course descriptions please see the bulletin pages for CSE, EHS, GTY, PSY and STA.