Curriculum

This program takes approximately 4–5 years. Coursework during the first 2–3 years provides a foundation in statistical theory, methods, and applied data analysis. Written exams are completed after the first and after the second year (after the first year for students entering with a master’s degree). The dissertation is completed during years 4–5. Most students also work on several collaborative research projects during their training.

Sample Schedule (for students entering without a Masters’ degree)

Year One

Fall Semester
Math 5615H Mathematical Analysis I (4) (or Math 4603)
PubH 7405 Biostatistics: Regression (4)
Stat 8101 Theory of Statistics I (4)

Spring Semester
PubH 7406 Advanced Regression (3)
Stat 8102 Theory of Statistics II (4)
Biostatistics Elective

Year 1 Written Exam to be taken after finals of Spring Semester

Year Two

Fall Semester
PubH 8432 Probability Models (3)
PubH 8401 Linear Models (4)
PubH 7450 Survival Analysis (3)

Spring Semester
PubH 8442 Bayesian Decision Theory (3)
PubH 8412 Advanced Statistical Inference (4)
Biostat Elective

PhD preliminary written exam to be taken mid-August of Year Two.

Begin the process of identifying a dissertation advisor and topic.

Year Three
Complete additional elective courses to satisfy program requirements
Begin working on the dissertation

Years Four and Five
Complete any remaining elective courses to satisfy program requirements
Preliminary oral examination
Write the dissertation
Complete at least 24 thesis credits (PubH 8888)
Defend the dissertation in a final oral examination

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