This interdisciplinary program recognizes the growing importance of computation as a methodology for attacking complex scientific and engineering problems. Combined with mathematical modeling and experimental observations, scientific computation enables engineers and scientists to solve problems that are otherwise intractable. The Computational Engineering Science Program provides a solid foundation in mathematics, the sciences and engineering, and fosters skills required for modeling, simulating, and solving complex problems. The emphasis is on the computation of science rather than the science of computation (i.e., CES is not computer science). Students have the opportunity to select courses from a wide variety of disciplines (see the section on clusters). The program provides a sound basis for graduate studies in engineering and the applied sciences. Additionally, it nurtures skills that are needed in large-scale technological modeling and simulations relevant to research in industry and national laboratories.

The Program has four components:

1)	building a broad base in the sciences, with biology, chemistry and physics courses
2)	developing skills in analytical and computational modeling through theoretical and applied courses in mathematics and computer science
3)	building depth with engineering or science minors or clusters
4)	applying computational and analytical tools to engineering or applied science projects

Information on the curriculum for Computational Engineering Science is available in the Announcement of the College of Engineering (pdf file), pages 63-64.

For more information, e-mail ces-program@coe.berkeley.edu