These degree programs have the objectives of being integrative across disciplines, discovery producing and job oriented. Models are useful approximations or substitutions for real world phenomena and systems.
Simulation is the process of eliciting and observing a model's behavior over model time.
Successful simulation depends on the integrity of the underlying model, generally probabilistic in nature, as well as the appropriate methodologies to perform the computations. The development and appropriate application of such complex simulations require that the training of simulation specialists be broad-based. The simulationist is required to have knowledge of modeling methods, simulation construction, computing environments and insight into the application domain of interest. These aspects underscore the multidisciplinary nature of simulation in both foundational preparation and in application. Consequently, the modeling and simulation master's programs draw upon expertise from programs within the College of Engineering and Technology, the College of Sciences and the College of Education.