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

STAT203Introduction to Probability Theory

5

STAT207Intermediate Bayesian Statistical Modeling

5

Plus one of these courses

STAT206Applied Bayesian Statistics

5

STAT206BIntermediate Bayesian Inference

5

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

STAT204Introduction to Statistical Data Analysis

5

STAT205Introduction to Classical Statistical Learning

5

STAT205BIntermediate Classical Inference

5

STAT208Linear Statistical Models

5

STAT209Generalized Linear Models

5

STAT222Bayesian Nonparametric Methods

5

STAT223Time Series Analysis

5

STAT225Multivariate Statistical Methods

5

STAT226Spatial Statistics

5

STAT229Advanced Bayesian Computation

5

STAT243Stochastic Processes

5

STAT244Bayesian Decision Theory

5

STAT246Probability Theory with Markov Chains

5

STAT291Advanced Topics in Bayesian Statistics

3

Either STAT 205 or STAT 205B