Graduate Program Home
Policy and Procedures
& CCUT information
Job Searching Resources
Program: Doctoral Degree
program in Statistics and Applied Probability prepares graduate students
to expand the boundaries of statistical theory and practice. Graduates
are trained for a career in academics or industry where they are at the
forefront of new methods and technology. Our students are given rigorous
mathematical training in statistics and probability that can be used to
develop real-world methodologies. Recent dissertations have been written
in the areas of smoothing splines, spatial statistics, micro-array analysis,
functional data models, empirical processes, mathematical and statistical
finance, Bayesian inference, and bootstrap estimation methods.
Requirements for PhD in Statistics & Applied Probability
Students must complete 72 units of PSTAT graduate courses or approved
graduate courses from other departments and pass two qualifying exams.
At least 60 of the 72 required units must be in Pstat 200 level graduate
courses (excluding P/Stat 263), and they must include PSTAT 207 A-B-C,
213 A-B-C and 220 A-B-C. Each required course must be completed with a
grade of B or better. For non-FMS emphasis PhD requirements, please see
the PhD Requirements
Sheet. For the FMS emphasis, please see the FMS
Exams (Part of the area requirement):
Each student must pass two qualifying exams at the PhD level. Each student
may attempt each qualifying exam twice. Each student must successfully
pass two area exams within three years after joining the Department’s
Graduate program regardless of having a Master’s degree or not.
There are four qualifying exam options:
and Stochastic Processes
Mathematics (administered by the Mathematics Department)
detailed explanations regarding the Area Requirements and Qualifying Exams,
please see our Department
Policies and Procedures.
Department of Statistics and Applied Probability has a normative time
of three years to advance to candidacy and five years to complete the
Ph.D. degree. The expectation of the department is that students will
follow this timeline:
First 2 years
• Core courses completed
• Qualifying Exams passed
By Winter of the 3rd year
• Nomination of dissertation committee
• Advanced to Candidacy
Detailed instructions for nominating
your committee and advancing to candidacy
After 5 years
• Dissertation and degree finished
more detailed explanations regarding the PhD degree, please see our Department
Policies and Procedures.
Optional PhD emphasis in Bioengineering
Our department participates in the Bioengineering emphasis. Doctoral students from any department within the College of Engineering (Chemical Engineering, Computer Science, Electrical and Computer Engineering, Materials, and Mechanical Engineering) or from the following departments or programs within the MLPS Division of the College of Letters and Science (Chemistry and Biochemistry; Ecology, Evolution, and Marine Biology; Mathematics; Molecular, Cellular, and Developmental Biology; Physics, Psychological and Brain Sciences, Statistics and Applied Probability, and the Biomolecular Science and Engineering Program) may petition to add an emphasis in Bioengineering to their current doctoral degree program.
Candidates pursuing the Bioengineering Emphasis must also fulfill the departmental and University requirements related to their home degree program.
Bioengineering is a rapidly growing discipline and the emphasis is designed to prepare current doctoral students to undertake research at the interfaces of engineering, physical sciences, biology, and medicine. The emphasis features a structured set of core courses that are taught collaboratively by faculty across disciplines that are engaged in bioengineering related research. Additionally, the emphasis aims to provide a community of support and a vehicle for exchange of ideas for enrolled students.
Doctoral students in good academic standing (3.0 GPA or higher) are eligible to apply to the emphasis upon completion of the first year in their home department/program. The application should consist of the following:
Students must have a doctoral research area and/or advisor identified in the field of Bioengineering. Additionally, applicants are expected to have completed one or more foundational undergraduate or graduate courses in biochemistry and/or cell biology. A graduate admissions committee comprising 3 CBE faculty members will be responsible for reviewing petitions and admission materials.
- A completed cover page to the application with an endorsement signature from the individual's current Ph.D. advisor (template available from CBE).
- A one-page description of the doctoral research area.
- A completed Graduate Division petition to add the emphasis with necessary signatures.
- An unofficial copy of the student's graduate UCSB transcript to date.
PhD Emphasis in Financial Mathematics and Statistics
offers an optional emphasis in Financial Mathematics and Statistics (FMS)
for students pursuing a Ph.D. The FMS emphasis allows students to specialize
in the emerging field of financial mathematics and statistics. The
Center for Research in Financial Mathematics and Statistics provides
students a great opportunity to work with a thriving group of researchers
taking a cross-disciplinary approach to financial mathematics. For more
information on the emphasis, please see the FMS
PhD Emphasis in Quantitative Methods in the Social Sciences
participates in the Quantitative Methods in the Social Sciences (QMSS) interdisciplinary
PhD emphasis. The QMSS emphasis offers students an opportunity to apply
cuting-edge statistical techniques to research in anthropology, communications,
education, geography, political science, psychology, or sociology. The QMSS
curriculum is designed to provide a broad interdisciplinary perspective
on the use of quantitative methods in the social sciences. For information
on the curriculum, please visit the QMSS
curriculum. See also the directions
on how to join QMSS.