The goal of the Ph.D. program in Computational Science is to train graduate students to have extensive knowledge in computational science and to allow the student to acquire expertise in one or more areas of the sciences, mathematics, or engineering. Many of the important problems facing society today can only be solved by teams of individuals from a variety of disciplines. An individual trained in an interdisciplinary environment is an essential member of such a team because he/she can successfully interact with team members and gain an overall understanding of the problem. However, most doctoral programs in this country have a very narrow focus and consequently, students rarely have the opportunity to understand research themes in other disciplines or even to explore the relevance of their own research to other fields. Since the Department of Scientific Computing (DSC) lies at the intersection of applied mathematics, applied science, computer science and engineering, it has the unique opportunity to train students in areas which cut across disciplines.<br>Since computational science is an interdisciplinary program, students' programs of study can be quite varied. Consequently, we have built in a lot of flexibility into the course requirements for the Ph.D. in Computational Science. The commonality in the coursework is that each student must take the same three computational science courses (Group A courses), which cut across disciplines, as well as a minimum of 12 credit hours in other computational science courses (Group B courses) plus 9 additional credit hours selected from existing departmental courses in computer science, engineering, mathematics or an applied science (Group C courses).