• Quantitative Methods involves topics in both applied optimization and applied statistics.
  • Applied optimization explores resource allocation issues that frequently arise in managerial decision making.
  • Current areas of faculty interest in applied optimization include transportation, communication, distribution, and manufacturing systems. Other application domains include auditing, scheduling, and quality control.
  • Statistics and its applications address managerial problems in which randomness or uncertainty complicates the decision environment.
  • Courses from departments such as economics, statistics, and industrial engineering as well as other areas of management offer the student a rich variety of topics for applied statistics research.
  • Probabilistic and stochastic modeling and applications concentrate on quantifying the effects of uncertainty in managerial decision making and analyzing many complex business processes.