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The Master of Science in Computational Science addresses the growing demand for trained computational scientists and engineers, and data scientists.

It combines a solid foundation in computational science skills with courses in a variety of scientific and engineering computer-intensive areas where modeling and simulation, data analysis, and high performance computing play a central role.

Data model research

Program Highlights

Most of the courses are offered in the late afternoon or early evening to accommodate students with full-time employment outside of the university.

Program Guide

Course Catalog

Review admission and course requirements for this degree:

Career Paths

Research Opportunities

Areas of Emphasis

Working with an advisor, a student may choose to pursue an area of emphasis. Students may also combine areas of emphasis to create their own customized curriculum under the guidance of a faculty advisor.

Modeling & Simulation

Intended for students who wish to learn computational solution techniques for modeling and simulation of scientific and engineering phenomena.

Data Science

Intended for students who wish to learn computational methods for acquiring, extracting, and analyzing large-scale data obtained by observations, experiments, modeling, and database searches.