PhD Program Degree Requirements

Doctoral ProgramDoctoral Program

Twenty-four credits are required of students matriculating in the program without a master's degree; 16 are required beyond the master's.  For those with a related master's degree, up to eight units can be transferred.  Students are expected to participate in academic activities such as the Statistics Seminar and faculty-organized working groups.

Within the Department, the major requirements for the PhD are:

  1. completion of a program of courses covering core areas of required expertise (see details below)
  2. demonstration of proficiency in teaching
  3. synthesis of a core body of knowledge, evaluated via written examination
  4. demonstration of readiness to undertake original research, via oral presentation and defense of a written dissertation proposal (oral exam)
  5. completion and oral defense of a dissertation that makes an original contribution in the chosen field of study.

The methods for meeting these requirements may differ depending on the individual program of study.

Competencies in biostatistics are divided into three Core areas:

  1. Theory and Methods of Inference (Core A)
  2. Methods of Biostatistical Analysis (Core B)
  3. Advanced Training (Core C)

Biostatistics Core A: Theory and Methods of Inference

Statistical Inference I (PHP2520)
Linear Models (PHP2601)
Statistical Inference II (PHP2580)
Bayesian Inference (PHP2530)
Generalized Linear Models (PHP2605)
Practical Data Analysis (PHP2550)

Biostatistics Core B: Methods of Biostatistical Analysis

Analysis of Lifetime Data (PHP2602)
Causal Inference and Missing Data (PHP2610)

Biostatistics Core C: Advanced Training Electives in Statistical Methodology

Clinical Trials (PHP2030)
Statistical Methods for Bioinformatics (PHP2620)
Analysis of Longitudinal Data (PHP2603)
Statistical Methods for Spatial Data (PHP2604)
Advanced Topics in Biostatistics (PHP2690)
Qualifying courses in other departments (APMA, ECON, CS), with approval from Graduate Director

Other Requirements

Introduction to Methods in Epidemiologic Research (PHP2120)
Course in substantive field of application
Journal Club
Online Public Health Overview Instruction (PHP 101)
School of Public Health Responsible Conduct in Research Training - 1st Semester