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Scientific Computation and Data Sciences

Certificate in the College of Natural Sciences

Certificate Scientific Computation And Data Sciences
Credit: Nic McPhee

Scientific computation is the use of mathematical, statistical and computer-based techniques to investigate complex systems.

In a world where computation is fueling innovation and success, a Certificate in Scientific Computation will make you more competitive for jobs and top-tier graduate schools in your field.

This certificate program provides undergraduates with an opportunity to enrich their field of study, albeit biology, chemistry, physics, engineering, economics, or medicine with applied computation, ranging from the development of and analysis with algorithm, database, statistical or visualization code. This program is fulfilled with a series of computational classes, and culminated with an individual project that utilizes computation to address a scientific inquiry.

Declaration Requirements

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The Certificate in Scientific Computation program is open to all degree-seeking undergraduate students enrolled at the University. Sign up for the certificate on the online platform.

Students are encouraged to enroll as early as possible so that they can be advised throughout the program and to ensure that their independent study project idea is approved.

Students need to fulfill the prerequisite of passing a course in multivariate calculus (M 408D or M 408M) with a C- or better.

For more information regarding this certificate, including frequently asked questions, visit the Department of Statistics and Data Sciences' website.

How to Declare

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Required Courses

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The Certificate in Scientific Computation is 18 semester hours of coursework, including core requirements in computer programming and upper-level mathematics, scientific computing courses, applied computing courses, and a research project. For a detailed list of the courses required, visit the Department of Statistics and Data Sciences' website.

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