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The program's core courses combine the disciplines of mathematics, statistics and computer science, (although you may be able to bypass certain core courses based on your prior education and experience).

After completing core course requirements, students:

  • Focus on one or more of the three disciplines
  • Take elective courses outside of these disciplines
  • Successfully complete 36 credits to earn a degree
  • Complete a faculty-directed capstone thesis or project

Learning Environment

Small classes are conducted in a supportive environment help you achieve your maximum potential.

Course scheduling is convenient for both full-time and part-time students.

Required Programming Languages

All courses include a computational component, using:

  • Maple, MatLab© (mathematics)
  • JMP, R, SAS©, SPSS© (statistics)
  • C++, Java™, Linux, Windows (computer science)

Programming languages, software and other computational tools evolve quickly and are often superseded by new versions. You will need to have a strong commitment to lifelong learning as technology in the computational sciences evolves.