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This archived information is dated to the 2008-09 academic year only and may no longer be current.

For currently applicable policies and information, see the current Stanford Bulletin.

Mathematical and Computational Science

Director: Bradley Efron

Associate Director: Susan Holmes

Committee in Charge: Takeshi Amemiya (Economics), Gunnar Carlsson (Mathematics), Richard Cottle (Management Science and Engineering), Thomas M. Cover (Electrical Engineering, Statistics), Bradley Efron (Statistics), Peter W. Glynn (Management Science and Engineering), J. Michael Harrison (Graduate School of Business), Susan Holmes (Statistics), Parviz Moin (Engineering), Art Owen (Statistics), George Papanicolaou (Mathematics), Eric Roberts (Computer Science), David Rogosa (Education), Tim Roughgarden (Computer Science), Mehran Sahami (Computer Science), David Siegmund (Statistics), Arthur F. Veinott Jr. (Management Science and Engineering), Nancy R. Zhang (Statistics)

Program Administrator: Helen Tombropoulos

Program Offices: Sequoia Hall, 390 Serra Mall

Mail Code: 94305-4065

Phone: (650) 723-2620

Email: helen@stat.stanford.edu

Web Site: http://www.stanford.edu/group/mathcompsci

Courses offered by the Program in Mathematical and Computational Science have the subject code MCS, and are listed in the "Mathematical and Computational Science [MCS] Courses" section of this bulletin.

This interdepartmental interschool undergraduate program provides a major for students interested in the mathematical and computational sciences, or in the use of mathematical ideas and analysis in problems in the social or management sciences. It provides a core of mathematics basic to all the mathematical sciences and an introduction to concepts and techniques of automatic computation, optimal decision making, probabilistic modeling, and statistical inference. It also provides an opportunity for elective work in any of Stanford's mathematical science disciplines.

The program uses the faculty and courses of the departments of Computer Science, Management Science and Engineering, Mathematics, and Statistics. It prepares students for graduate study or employment in the mathematical and computational sciences or in those areas of applied mathematics which center around the use of computers and are concerned with the problems of the social and management sciences.

A biology option is offered for students interested in applications of mathematics, statistics, and computer science to the biological sciences (bioinformatics, computational biology, statistical genetics, neurosciences); and in a similar spirit, an engineering option.

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