About the Program
The Designated Emphasis (DE) in Communication, Computation and Statistics provides an academic structure for an interdisciplinary exchange of ideas. Many of the most significant developments in modern information technology--including communication and data networks, multimedia information processing, and large-scale, distributed data analysis in science, engineering and commerce--are no longer the province of a single academic field, but draw on ideas from diverse sources in computer science, electrical engineering and statistics. The DE in Communication, Computation and Statistics enables specialized, multi-disciplinary training and research opportunities in various emerging areas of information technology. Admitted students not only participate in a cutting-edge program and receive explicit recognition of specialization in the Designated Emphasis but are also well positioned to compete for the most desirable jobs in information technology, both in academia and in industry.
Admissions
To be admitted to the Designated Emphasis in Communication, Computation and Statistics, an applicant must already be accepted into a PhD program at the University of California, Berkeley. The candidate must also submit a petition for admission prior to taking the Qualifying Examination, after one year of study in his or her home department, and preferably in the second year of his or her graduate training. The petition for admission must be accompanied by a letter of recommendation from a sponsoring faculty member (e.g., the student's adviser), a personal statement, a Curriculum Vitae, and copies of transcripts. The petition for admission must be signed by the sponsoring faculty member before submission to the Graduate Student Services Adviser.
For further information regarding admission to graduate programs at UC Berkeley, please see the Graduate Division's Admissions website .
Designated Emphasis Requirements
Curriculum
A student in EECS must choose two breadth courses from the following list, and a student in a department other than EECS or Statistics must choose one breadth courses from the following list:
STAT 204 | Probability for Applications | 4 |
STAT 205A | Course Not Available | 4 |
STAT 205B | Course Not Available | 4 |
STAT 206A | Course Not Available | 4 |
STAT 206B | Course Not Available | 4 |
STAT 210A | Theoretical Statistics | 4 |
STAT 210B | Theoretical Statistics | 4 |
STAT 215A | Statistical Models: Theory and Application | 4 |
STAT 215B | Statistical Models: Theory and Application | 4 |
STAT 230A | Linear Models | 4 |
STAT 232 | Experimental Design | 4 |
STAT 236 | Course Not Available | 4 |
STAT 238 | Course Not Available | 4 |
STAT 240 | Nonparametric and Robust Methods | 4 |
STAT 241A | Course Not Available | 4 |
STAT 241B | Course Not Available | 4 |
STAT 248 | Analysis of Time Series | 4 |
STAT 260 | Topics in Probability and Statistics | 3 |
A student in Statistics must choose two breadth courses from the following list, and a student in a department other than EECS or Statistics must choose one breadth courses from the following list:
EL ENG 221A | Linear System Theory | 4 |
EL ENG 221B | Course Not Available | 4 |
EL ENG 222 | Nonlinear Systems--Analysis, Stability and Control | 3 |
EL ENG 223 | Stochastic Systems: Estimation and Control | 3 |
EL ENG 224A | Digital Communications | 4 |
EL ENG 225A | Digital Signal Processing | 3 |
EL ENG 225B | Digital Image Processing | 3 |
EL ENG 225D | Audio Signal Processing in Humans and Machines | 3 |
EL ENG 226A | Random Processes in Systems | 4 |
EL ENG 227A | Course Not Available | 4 |
EL ENG 227B | Course Not Available | 4 |
EL ENG 228A | High Speed Communications Networks | 3 |
EL ENG 228B | Course Not Available | 4 |
EL ENG 229 | Course Not Available | 4 |
EL ENG 291 | Course Not Available | 4 |
EL ENG C291 | Control and Optimization of Distributed Parameters Systems | 3 |
COMPSCI 270 | Combinatorial Algorithms and Data Structures | 3 |
COMPSCI 271 | Randomness and Computation | 3 |
COMPSCI 280 | Course Not Available | 4 |
COMPSCI C281A | Statistical Learning Theory | 3 |
COMPSCI C281B | Advanced Topics in Learning and Decision Making | 3 |
COMPSCI 288 | Natural Language Processing | 3 |
COMPSCI 289 | Course Not Available | 4 |
The Designated Emphasis will be satisfied in the qualifying examination by the designation of communication, computation and statistics as substantive areas of interrogation. The qualifying examination committee must include a member of the Designated Emphasis Group who may represent either the home department of the student or another discipline. The qualifying examination committee must include an Academic Senate member from outside the student's home department. Satisfactory performance on the qualifying examination for the doctorate will be judged independently from performance in the Designated Emphasis.
One member of the Designated Emphasis Group must serve on the dissertation committee and insure that the thesis contributes to the interdisciplinary study of communication, computation and statistics in a significant way. The dissertation committee must include an Academic Senate member from outside the student's home department.
Contact Information
Graduate Group in Communication, Computation, and Statistics
253 Cory Hall
Phone: 510-642-3214
Fax: 510-643-7846
Graduate Student Services Officer for CS grad students
Xuan Quach
339 Soda Hall
Phone: 510-642-9413
Graduate Student Services Officer for EE grad students
Shirley Salanio
215 Cory Hall
Graduate Student Services Officer for I School grad students
Meg St. John
111 South Hall
Phone: 510-642-1465
Graduate Student Services Officer for Statistics grad students
La Shana Polaris
373 Evans Hall
Phone: 510-642-5361
Graduate Student Services Officer for others