Industrial Mathematics - MS

The Industrial Mathematics Program teaches students modeling, simulation, mathematical and statistical analysis for careers in industry and mathematical sciences. Students are prepared to work at a variety of government and industrial research jobs, teaching careers at community colleges as well as for entry to doctoral programs in applied mathematics or statistics. Research project topics are suggested by industrial and scientific internship partners; recent research has developed Bayesian optimization tools for use in quantitative Enzyme-Linked ImmunoSorbant Assay (ELISA) to detect bio-pathogens, used path planning algorithms to govern robotic devices in complicated environments, or developed mathematical models and dynamical systems approaches to optimize genetic amplification technology for industrial pathogen detection. Applicants are welcomed from any undergraduate technical major, including computer science, chemistry, engineering, math, physics and statistics. Undergraduate linear algebra, multivariate calculus and differential equations is prerequisite, as is computer programming experience.