Computer Science Specializing in Computational Science and Engineering M.S.

Applicants apply to this program in the usual manner. However, student backgrounds are expected to include courses in calculus, elementary linear algebra, elementary differential equations, discrete mathematics, data structures, and numerical computing. Courses in computer organization and computing languages are recommended. Students lacking some of this material may be admitted but will be expected to acquire this knowledge during their studies. This may require taking courses beyond the normal degree requirements.

Students must complete a Plan of Study that includes 30 credits at the 4000 and 6000 levels with: (1) at least 6 credits in numerical analysis and/or scientific computation; (2) at least 6 credits in an area of natural science or engineering; (3) at least one course in each of software and hardware systems; and (4) a 6-credit master’s thesis. At least 18 credits must be at the 6000 level, and students should attend the computer science colloquia and scientific computation seminars.

Students interested in further study within this area should refer to the Ph.D. in Computer Science Specializing in Computational Science and Engineering.

Outcomes of the Graduate Curriculum
Students who successfully complete this program will be able to:

• demonstrate a solid understanding of theory, computer systems and algorithms central to scientific computation.
• demonstrate the application of computational science methods to an area of science or engineering.
• successfully plan, design, and conduct independent, publishable-quality research or an extensive independent project.
• clearly articulate the results of their independent work in computer science in both oral and written form.