Statistics, PhD

for the degree of Doctor of Philosophy in Statistics


Department Chair: Bo Li
Associate Department Chair: Jeff Douglas

PhD Program Director: Xiaofeng Shao

Graduate Contact: Joseph Zarnsy

Department Website: http://www.stat.illinois.edu/

College Website: https://las.illinois.edu/


Graduate College Admissions Info & Requirements

Department Admissions Info & Requirements


Department Contact: Aaron Thompson

Department Office: Computing Applications Building, 605 E Springfield Ave, Champaign, IL 61820

Phone: (217) 333-2167

Email: stat-grad@illinois.edu


Graduate Degree Programs in Statistics

Statistics, MS

concentrations:

Analytics|Applied

Statistics, PhD

optional concentrations for the PhD:

Computational Science & Engineering | Data Science & Engineering

Graduate Minor in Statistics

for the degree of Doctor of Philosophy in Statistics


For additional details and requirements refer to the department's Graduate Programs and the Graduate College Handbook. 

Entering with an approved Baccalaureate degree

PhD applied regression courses:
STAT 527Advanced Regression Analysis4
STAT 528Advanced Regression Analysis II4
PhD theory core courses:
STAT 511Advanced Mathematical Statistics4
STAT 553Probability and Measure I4
STAT 575Large Sample Theory4
Practicum course- Select one:2-4
Statistical Consulting
STAT Internship
Preparing Future Faculty
Computing-related course- Select one:4
Computational Statistics
Statistical Learning
Approved substitutions for Computing: IE 521, IE 534, CS 573, CS 574, CS 583.
Stochastic processes and time series courses- Select one:4
Advanced Stochastic Processes (Advanced Stochastic Processes)
Probability and Measure II
Applied Stochastic Processes
Advanced Time Series Analysis
Empirical Process Theory and Weak Convergence
Select at least 5 elective courses with at least three 500 level courses, not selected above or from a list of electives maintained by the department.20
Thesis and individual study courses:0-44
Individual Study and Research (0-16 hours per term)
Thesis Research (0-8 hours per term)
Total Hours96

Other Requirements

Prerequisite MATH 447 - Real Variables (*Waived if a course at an equivalent level has been taken at another institution and a grade of B or above is achieved)
Other requirements may overlap
Required and elective course credits at UIUC At least 52 hours
Thesis research and individual study courses (min-max applied toward degree) 0-44
Total number of credits required 96 (at least 64 residency credits)

Entering with an approved Master's degree

PhD theory core course:
STAT 553Probability and Measure I4
Practicum course- Select one:2-4
Statistical Consulting
STAT Internship
Preparing Future Faculty
Computing-related course- Select one:4
Computational Statistics
Statistical Learning
Approved substitutions for Computing: IE 521, IE 534, CS 573, CS 574, CS 583.
Stochastic processes and time series courses- Select one:
Advanced Time Series Analysis
Applied Stochastic Processes
Advanced Stochastic Processes
Probability and Measure II
Empirical Process Theory and Weak Convergence
Select at least 5 elective courses with at least three 500 level courses, not selected above or from a list of electives maintained by the department.20
Thesis and Individual study courses:0-28
Individual Study and Research (0-16 hours per term)
Thesis Research (0-8 hours per term)
Total Hours64

Other Requirements

Other requirements may overlap
Masters Degree Required for Admission to PhD? No, but Masters level requirements must be met (32 additional hours min)
For a student who has approved MS degree in Statistics or related fields from peer institutions, the total number of credits required is 64 (at least 64 residency credits). The MS degree needs to be approved by the PhD committee by Oct 1st of the first year of enrollment.
STAT 527/STAT 528/STAT 511/STAT 575 can be waived for students who have approved MS degrees from peer institutions AND passed our qualifying exam
At least 36 required and elective course credits at UIUC (including satisfying the requirements on PhD applied regression, theory core, practicum, computing-related and stochastic process and time series courses, subject to waiver)
Minimum 500-level courses required 24
Qualifying Exam Required Yes
Preliminary Exam Required Yes
Final Exam/Dissertation Defense Required Yes
Thesis research and individual study courses (min-max applied toward degree) 0-28 hours
Dissertation Deposit Required Yes
Minimum GPA: 3.0