The scientific methods of statistics play an increasingly important role in managerial analysis and decision-making under conditions of risk and uncertainty. They are used to describe data and make decisions and predictions in every functional area of business from strategic forecasting, research, and long-range planning, to auditing and control.  A Ph.D. in Business Statistics from the Jerry S. Rawls College of Business Administration will give you advanced analytic skills, in addition to core business knowledge, needed to teach in the university environment or to operate as a competent analyst in today’s business world. 

This program has been designed to train students to develop and apply modern statistical techniques. Foundational courses include mathematical statistics, probability, statistical computing, and linear models; additional applied courses such as Six Sigma and Data and Text Mining give students the tools needed for success, whether in the academic or industry sectors of business.
 

CURRENT FACULTY RESEARCH INTERESTS

Bayesian statistics, decision theory, econometrics and forecasting, data mining, business intelligence, nonparametrics, resampling, production management

ALUMNI 

Lisa Fafouti, PhD 1999 - Wells Fargo, Oakland, CA

Mithat Gonen, PhD 1996 - Memorial Sloan-Kettering Cancer Center, New York

Johnny Wu, PhD 1996 - Kendle International, Cincinnati

CURRENT AND RECENT Ph.D. STUDENT RESEARCH PROJECTS

> Resource Management using Data Mining

> Testing For Event Studies in Financial Data: Effects of Rapid versus Slow Variance Decay in GARCH Processes

> Finding Variance-Inflated Observations via Bayesian Model Selection

> Grid Computing using SAS

> The Bayesian Two-Sample t Test

> Development and Validation of an Age-Risk Score for Mortality Prediction Following Thermal Injury

> Bootstrapping Structural Equations Model