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Theoretical and Practical Foundations

computer science students around a Raspberry Pi cluster
Computer Science students around a Raspberry Pi cluster

Mathematics, Statistics, and Computer Science provide tools for solving a wide array of quantitative problems.  Our majors and minors develop the ability to understand both applied and abstract quantitative relationships, to interpret and communicate with data, to use modern technology to compute, and to understand and implement algorithms. Based on a strong theoretical foundation and grounded in the liberal arts, these perspectives and skills are critical not only to today’s top jobs but also to the yet-to-be-discovered jobs of the future.  Students completing a major in Mathematics, Mathematical Economics, or Computer Science or a minor in Mathematics, Statistics, or Computer Science go on to careers such as Data Analytics, Software Engineering, Finance, and Insurance, or to teach in grades 7-12.  They pursue graduate work in Mathematics, Statistics/Biostatistics, Economics, Finance, Law, Business, or other sciences.  The department offers the following programs:

  • Computer Science (BA, BS, and Minor)
  • Computational Economics (BA)
  • Computational Philosophy (BA)
  • Mathematics (BA, BS, and Minor)
  • Mathematical Economics (BS)
  • Statistics (Minor)