Statistics and Data Science PhD

Degree Requirements

The following requirements are in addition to, or further elaborate upon, those requirements outlined in The Graduate School Policy Guide.

PhD

Total Units Required: 15

Required Coursework

Course Title
STAT 344-0Statistical Computing
STAT 350-0Regression Analysis
STAT 353-0Advanced Regression
STAT 415-0Introduction to Machine Learning
STAT 420-1
& STAT 420-2
& STAT 420-3		Introduction to Statistical Theory & Methodology-1
and Introduction to Statistical Theory & Methodology-2
and Introduction to Statistical Theory & Methodology-3
STAT 430-1
& STAT 430-2		Probability for Statistical Inference 1
and Probability for Statistical Inference 2
STAT 440-0Applied Stochastic Processes for Statistics
STAT 457-0Applied Bayesian Inference
Electives (300- and 400-level graduate courses in Statistics): at least 4, among which 2 must be 400 level

Other PhD Degree Requirements

  • Examinations: qualifying examination taken at the beginning of the second year; prospectus completed by the end of third year
  • PhD Dissertation: based on independent research
  • Final Evaluations: oral defense of dissertation

En Route Master's

Optional MS Degree for Statistics and Data Science PhD Students

Students admitted to the PhD program can obtain an optional MS (master of science) degree en route. The MS degree requires 12 courses. Students choose from 300 and 400 level courses offered by the Department of Statistics and Data Science. Required are:

Course Title
STAT 350-0Regression Analysis
STAT 353-0Advanced Regression
STAT 415-0Introduction to Machine Learning
STAT 420-1
& STAT 420-2
& STAT 420-3		Introduction to Statistical Theory & Methodology-1
and Introduction to Statistical Theory & Methodology-2
and Introduction to Statistical Theory & Methodology-3
at least 6 more courses approved by the program , among which two must be 400 level STAT elective courses, no more than 3 can be non-STAT courses