Computational mathematical and statistical sciences (CMPS) is the discovery, implementation, simulation and application of models to solve scientific and engineering problems. The diverse research opportunities in our department are enhanced by the research programs of associated faculty on the Marquette campus in the sciences and engineering and Milwaukee-area research laboratories and clinics. The Department of Mathematical and Statistical Sciences offers both M.S. and Ph.D. study in Computational Mathematical and Statistical Sciences. Computational mathematical and statistical sciences is a field of study that emphasizes the discovery, implementation, and use of computational tools to solve problems in mathematics and statistics that are both applied and pure. Commonly, these efforts involve the development of new computational methodologies, computer software, or computer systems to solve large-scale problems.Our program is designed to equip graduates with a distinctive blend of theoretical and computational skills, for employment in industry, research laboratories and institutions of higher education. While the bulk of their coursework will be undertaken in this Department, their research topics may range across the computational aspects of a broad spectrum of disciplines.A relatively small number of programs with the same overall goals exist in this country. Most have a similar title, although their focus varies, quite naturally, according to the resources with which they are blessed. Nonetheless, each offers students the opportunity to work within an interdisciplinary setting wherein the ultimate goal is the solution of a scientific problem using state-of-the-art computational techniques.Students whose objective is to study an area where computation plays an essential role should consider our M.S. or Ph.D. in Computational Mathematical and Statistical Sciences. Our Computational Mathematical and Statistical Sciences program is designed to equip graduates with a distinctive blend of theoretical and computational skills, for employment in industry, research laboratories and institutions of higher education. While the bulk of their coursework will be undertaken in this department, their research topics may range across the computational aspects of a broad spectrum of disciplines.

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