计算科学理学硕士课程满足了对训练有素的计算科学家和工程师以及数据科学家的日益增长的需求。它结合了扎实的计算科学技能基础以及各种科学和工程计算机密集领域的课程，在这些课程中建模和仿真，数据分析和高性能计算发挥着核心作用。计算机建模和仿真：适用于希望学习用于科学和工程现象建模和仿真的计算解决方案技术数据科学：面向希望学习通过观测，实验，建模和数据库搜索获得，提取和分析大规模数据的计算方法的学生。在研究生协调员的指导下，也可以结合重点领域来创建自己的定制课程。
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.Computer Modeling and 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.Students may also combine areas of emphasis to create their own customized curriculum under the guidance of the graduate coordinator.