
Quantitative Analysis
The Quantitative Analysis (QA) area prepares managers and executives to effectively integrate quantitative analysis into their decision making. This includes learning when and how to skillfully employ quantitative techniques skillfully to gain insights into the resolution of practical business problems.
Students design analyses to fit circumstances and interpret results in the context of action choices. The most widely applicable methodologies in decision and risk analysis, forecasting and data analysis, probability and statistics, competitive analysis, optimization and management science are studied and applied in realistic case situations.
QA faculty members have applied research interests spanning all of the functional areas of business and pursue research whose origins are firmly rooted in the problems of practicing managers.
Faculty

Manel Baucells
David M. LaCross Associate Professor of Business Administration

Max Biggs
Assistant Professor of Business Administration

Samuel E. Bodily
John Tyler Professor Emeritus of Business Administration

Robert L. Carraway
Yiorgos Allayannis Distinguished Associate Professor of Business Administration

Alex Cowan
Academic General Faculty

Rupert Freeman
Assistant Professor of Business Administration
Sherwood C. Frey, Jr.
Ethyl Corporation Professor Emeritus of Business Administration

Yael Grushka-Cockayne
Professor of Business Administration
Altec Styslinger Foundation Bicentennial Chair in Business Administration
Senior Associate Dean for Professional Degree Programs

Phillip E. Pfeifer
Richard S. Reynolds Professor Emeritus of Business Administration

Dana Popescu
Associate Professor of Business Administration
