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Mathematical Biology requires a unique combination of skills that prepares students for jobs in both the private sector and academia.  At both graduate and undergraduate levels our students learn to:

  • Create mathematical and statistical models of real world phenomena to address questions posed by managers, scientists and engineers.These models run the gamut from simple functions and discrete models to coupled ordinary and partial differential equations.

  • Develop and apply appropriate statistical and computational tools to estimate unknown parameters from using observational data.

  • Use model competition and goodness-of-fit metrics to determine which models perform best in comparison with data and where models fail.

  • Construct numerical simulations to  illustrate and test system behaviors.

  • Use mathematical tools to understand the dynamics of models and the systems they describe.

  • Communicate with interdisciplinary audiences, interchanging ideas with non-mathematical communities and conveying results of model construction, parameter determination, simulation evaluation, and systems analysis.

  • Develop their own professional networks, participate in local and national academic events where they show their latest research advances, and learn about the importance of scientific independence and collaboration.