The Graduate Program
Students in the PhD program take core courses on the theory and application of probability and statistics during their first year. The second year typically includes additional course work and a transition to research leading to a dissertation. PhD thesis topics are diverse and varied, reflecting the scope of faculty research interests. Many students are involved in interdisciplinary research, and there are two special concentrations available: in Communication, Computation, and Statistics, and in Computational and Genomic Biology. There is also a Ph.D. in Biostatistics, offered jointly with the School of Public Health (for which a separate admissions application is required).
The MA program includes students who are admitted directly into the department and students obtaining advanced degrees in other departments at Berkeley. Coursework consists of intensive graduate courses in probability, theoretical statistics, and statistical computing as well as an advanced course in modern applied statistics and a capstone course. Students will have the option to take elective courses.
Current Courses
Course Descriptions
Related Programs:
- Designated Emphasis in Computational and Genomic Biology
- Designated Emphasis in Communication, Computation, and Statistics
- Berkeley Program in Biostatistics
- Designated Emphasis in Computational Science and Engineering
Travel Grants:
Useful Forms:
- Graduate Division Applications for Candidacy, Qualifying Exam, Filing Fee; Request for Change in Higher Degree Committee; Library Permission Form; Fellowship Applications.
- Office of the Registrar
Employment:
Whom to contact:
Graduate Student Affairs Officer:
La Shana Porlaris
373 Evans, lashana@berkeley.edu
PhD Program Committee Chair & Head Graduate Advisor:
Prof. Steve Evans
303 Evans, evans@stat.berkeley.edu
MA Program Committee Chair:
Prof. Ani Adhikari
417 Evans, ani@stat.berkeley.edu