Statistics Designated Emphasis

Introduction

Students from a Ph.D. degree program, other than statistical science, who meet the following requirements can have the designated emphasis of “statistics” annotated to their degree title. For example, a Ph.D. student in electrical engineering who meets the requirements would receive a dioploma that reads “Ph.D. Electrical Engineering with an emphasis in (Statistics).”

Requirements

Committee Composition and Departmental Approvals

Upon electing to pursue a designated emphasis (DE) in statistics, students must choose a DE faculty adviser in the Statistics Department. A list of eligible DE advisers is maintained online. The student must organize a preliminary meeting with the DE adviser, and agree on a plan for completion of the requirements. Once this plan has been designated, the student and the DE adviser must complete the Application for a Designated Emphasis in Statistics form. The completed application form should be signed by the student's home department adviser, the DE adviser, and the statistics graduate director, and then filed with the BSOE Graduate Student Affairs Office (bsoe-ga@rt.ucsc.edu). This should be done before the student's advancement to candidacy (for Ph.D. students).

Course Requirements

Both these courses

STAT 203Introduction to Probability Theory

5

STAT 207Intermediate Bayesian Statistical Modeling

5

Plus one of these courses

STAT 206Applied Bayesian Statistics

5

STAT 206BIntermediate Bayesian Inference

5

Plus one other statistics course from the following list of approved courses

STAT 204Introduction to Statistical Data Analysis

5

STAT 205Introduction to Classical Statistical Learning

5

STAT 205BIntermediate Classical Inference

5

STAT 208Linear Statistical Models

5

STAT 209Generalized Linear Models

5

STAT 222Bayesian Nonparametric Methods

5

STAT 223Time Series Analysis

5

STAT 225Multivariate Statistical Methods

5

STAT 226Spatial Statistics

5

STAT 229Advanced Bayesian Computation

5

STAT 243Stochastic Processes

5

STAT 244Bayesian Decision Theory

5

STAT 246Probability Theory with Markov Chains

5

STAT 291Advanced Topics in Bayesian Statistics

3

Either STAT 205 or STAT 205B