Data Analytics and Decision Sciences
The Data Analytics and Decision Sciences area prepares managers for the contemporary business environment, which requires confidence in the use of data and analytics. Beyond digital numeracy and comfort working with data, DADS faculty guide leaders on how to fluently pair qualitative and quantitative observations in support of better decision-making.
In DADS offered courses, students design analyses to support both relevant inference as well as decisive interventions. Applicable methodologies in decision and risk analysis, forecasting, machine learning and AI, probability and statistics, competitive analysis, optimization, design thinking, project planning, and management science are studied and applied in realistic case situations.
DADS faculty members have applied research spanning all functional areas of business and pursue decision science research whose origins are firmly rooted in the problems of practicing managers.
Faculty
Michael Albert
Assistant Professor of Business Administration
Saed Alizamir
Associate Professor of Business Administration
Joe Andrasko
Professor of Practice
Manel Baucells
Lynch Family 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
Thomas H. Davenport
Bodily Bicentennial Professor in Analytics
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
