The Department of Management Sciences provides a variety of study areas across the spectrum of business analytics and information systems. Students learn to develop and manage information systems, apply process improvement techniques to supply chains, and solve business problems with quantitative analysis.
Our Business Analytics and Information Systems (BAIS) program provides two tracks of study for undergraduate students, while Ph.D. students work closely with our nationally recognized faculty. We specialize in the use of advanced computational and mathematical techniques to solve critical business problems. Our research and instruction specialties include operations management, information systems, and quantitative methods.
Pant Receives INFORMS Award
Associate Professor Gautam Pant was presented with the "Best Associate Editor Award" by the Information Systems Research (ISR) journal at the annual INFORMS meeting in Minneapolis on Oct. 5.
Burer Receives Meritorious Service Award
Each year, the Operations Research Editorial Board recognizes the hard work that members of the scholarly community perform to support the journal and the profession. The objective is to recognize Associate Editors and referees who did an exceptional job by submitting timely, unbiased, and thoughtful reviews. This year's recipients for the award included Management Sciences Professor Samuel Burer.
NSF Grant to Two Tippie Professors
Kenneth Brown, professor of management and organizations, and Barrett Thomas, associate professor of management sciences, have received a $216,000 National Science Foundation grant to develop new models and methods for organizations to improve their workforces through careful management of training tand on-the-job learning.
The research combines perspectives and techniques of data mining, operations research, and organizational psychology.
Researchers Create Index That Identifies Good Samaritans
Research by Kang Zhao, assistant professor of management sciences, is highlighted in the MIT Technology Review. Kang and his colleagues studied 500,000 anonymized online posts, organized into 50,000 threaded disucssions that took place on the Cancer Survivors Network (sponsored by the American Cancer Society) between 2000 and 2010. They are studying whether users can significantly alter the emotional state of the originator of a posting. On the basis of users' emotional dynamics, the research derives an index to effectively identify influential users in this online community.