Statistics Designated Emphasis

• Introduction
• Requirements

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

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Committee Composition and Departmental Approvals Expand and Collapse

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 ([e-mail]). This should be done before the student's advancement to candidacy (for Ph.D. students).

Course Requirements Expand and Collapse

Both these courses Expand and Collapse

STAT 203	Introduction to Probability Theory	5
STAT 207	Intermediate Bayesian Statistical Modeling	5

Plus one of these courses Expand and Collapse

STAT 206	Applied Bayesian Statistics	5
STAT 206B	Intermediate Bayesian Inference	5

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

STAT 204	Introduction to Statistical Data Analysis	5
STAT 205	Introduction to Classical Statistical Learning	5
STAT 205B	Intermediate Classical Inference	5
STAT 208	Linear Statistical Models	5
STAT 209	Generalized Linear Models	5
STAT 222	Bayesian Nonparametric Methods	5
STAT 223	Time Series Analysis	5
STAT 225	Multivariate Statistical Methods	5
STAT 226	Spatial Statistics	5
STAT 229	Advanced Bayesian Computation	5
STAT 243	Stochastic Processes	5
STAT 244	Bayesian Decision Theory	5
STAT 246	Probability Theory with Markov Chains	5
STAT 291	Advanced Topics in Bayesian Statistics	3

Either STAT 205 or STAT 205B