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The Designated Emphasis in Computational Science and Engineering (DECSE) is a specialization applicable to existing doctoral programs at Berkeley, which we refer to as our Associated Programs. By combining high-performance computing, mathematical modeling, scientific and engineering theory, and analysis of large scale data bases of observations, Computational Science and Engineering (CSE) promises to bring a new paradigm to interdisciplinary research and education. Computation is now regarded as an essential third component of the scientific method, complementing the traditional methods of theory and experiment to advance scientific and engineering practice. Numerical simulation is sometimes the only feasible way to make progress if theory is intractable and experiments are too difficult, too expensive, too dangerous, or too slow. We seek exceptional students who either need to use computational tools to accomplish their research goals, or whose research involves the construction or analysis of the tools themselves. The goal of our program is to train future leaders in CSE, who will not only be experts in their chosen fields, but also conversant with important techniques, opportunities and limitations arising from the multiple disciplines underlying CSE. Participating students will benefit from leading-edge training in research techniques, working in interdisciplinary teams with research leaders across campus and at Lawrence Berkeley National Laboratory, and by getting a competitive edge for the most desirable jobs in academia and industry. Upon successful completion of all requirements and a dissertation, the transcript and diploma will read, "PhD in [Associated Program] with a Designated Emphasis in Computational Science and Engineering." To be accepted to the DECSE, students must be PhD candidates in one of our Associated Programs. We have listed them below with their corresponding application deadlines and contact information. For additional information, or to arrange to meet with DE faculty members, contact Program Administrator (Masoud Nikravesh, 298 Hearst Memorial
 Mining Building, 643-4522), or an Associated Program Graduate Advisor.

Applied Science and Technology

December 17

Patricia Berumen

642-8790

Astronomy

December 17

Dexter Stewart

642-8520

Bioengineering

December 10

Rebecca Pauling

642-9931

Biostatistics

December 1

Sharon Norris

642-3241

Chemical Engineering

January 7

Rocio Sanchez

642-1533

Chemistry

December 20

Lynn Keithlin

642-5883

Civil and Environmental Engineering

December 14

Shelley Okimoto

643-8944

Earth and Planetary Science

December 21

Margie Winn

642-5574

Electrical Engineering and Computer Sciences

December 16

La Shanna Porlaris

642-9413

Industrial Engineering and Operations Research

December 7

Anayancy Paz

642-5485

School of Information

December 11

Megan St. John

642-1464

Integrative Biology

December 1

Mei Griebenow

643-7330

Materials Science and Engineering

December 10

Janene Martinez

642-0716

Mathematics

December 10

Barbara Waller

642-0665

Mechanical Engineering

December 2

Patricia Giddings

642-5084

Helen Wills Neuroscience Institute

December 1

Kati Markowitz

642-8915

Nuclear Engineering

December 17

Lisa Zemelman

642-5760

Physics

December 17

Donna Sakima

642-0596

Political Science

December 2

Andrea Rex

642-6467

Statistics

December 14

Angie Fong

642-5361

Vision Science January 5 Inez Bailey 642-9804

Application Procedure
Applications for admission are reviewed on a rolling basis throughout the year; however students must apply prior to taking the qualifying examination and are strongly encouraged to begin the application process early in the third semester of graduate study. It is imperative that you indicate your interest in adding the DECSE to both the CSE Program Administrator and the staff advisor in your home department as early as possible to ensure your committees are properly constituted and that all of your forms have the appropriate signatures. Students interested in the DECSE who have already advanced beyond the Qualifying Exam should consult the Head Graduate Adviser.
To apply, please submit the following materials to the Program Administrator (Masoud Nikravesh, 298 Hearst Memorial Mining Building, 643-4522), or the Head Graduate Advisor (Andrew Packard, 5102 Etcheverry Hall, administrators Yawo Akpawu and Sheila Caguiat).

The application asks you to list the Graduate Group faculty member with whom you intend to work. You are strongly encouraged to meet with them before applying to the Designated Emphasis.

Examination Requirements

The requirement for inclusion of the Designated Emphasis in the qualifying examination will be satisfied by the designation of computational science or engineering (or both) as substantive areas of interrogation, the appointment of a member of the Designated Emphasis Group to the examination committee, and the signature of the Head Graduate Adviser for the DE on the Graduate Division form “Application for the Qualifying Examination.” The DE member may already represent either the home department of the student or another discipline as an “outside member.”

Dissertation Requirements

The dissertation shall involve research in the area of Computational Sciences and Engineering. At least one, and perhaps two, faculty members of the Designated Emphasis Group will serve on the dissertation committee and insure that the dissertation contributes to the interdisciplinary study of computational science and engineering in a significant way.

Impact on Normative Time

The requirements listed in the section on Curriculum do not necessarily require additional hours of coursework beyond those mandated in the PhD programs of those participating departments that already require 9 units in related courses outside the home department. 

However, these courses are challenging, and we expect that some students will need some additional preparation before being able to take these courses.  In particular, we envision that some students will need to take a preparatory undergraduate class, or will need to engage in preparatory independent study.