Program Director: Marlene A. Smith
Peter Bryant, PhD, Stanford University
Gary A. Kochenberger, PhD, University of Colorado Boulder
Deborah L. Kellogg, PhD, University of Southern California
Marlene A. Smith, PhD, University of Florida
Michael D. Harper, PhD, Rensselaer Polytechnic Institute
Emily Roberts, MA, University of Southern Maine
The MS in Decision Sciences focuses on modeling and applications which prepares you for a career as a decision science specialist in industry or government. Today, companies in every conceivable industry are reaping the benefits of using formal mathematical models to assist them in addressing complex business problems. Decision Science graduates hold positions that bridge the gap between operations research/statistics specialists and management.
Learn to apply quantitative methods to real-world problems using modern methodologies adopted from statistics, operations research, and management science. Although the MS in Decision Sciences is founded in operations research methods, it focuses on applications of these methods in the workplace rather than the development of new operations research techniques. The managerial emphasis of our degree is accomplished through a comprehensive set of elective and required coursework such as data analysis, operations management, forecasting, project management, simulation and supply chain management. A required practicum course provides students with the opportunity (under the direction of faculty) to solve a real, complex workplace problem for a local Denver organization.
Requirements for the MS degree in Decision Sciences are met by the following courses and options: