Biostatistics, PhD

Johns Hopkins University Bloomberg School of Public Health 33 courses 64 total credits

About This Program

The PhD program at the Johns Hopkins Department of Biostatistics offers comprehensive training in biostatistical methodology and practice, grounded in both probability and statistics theory and advanced data science. This program is unique in its broad emphasis, spanning the foundations of statistical reasoning and data science. It provides rigorous training in real analysis-based probability and statistics, comparable to that of most mathematical statistics departments, as well as in data science principles and practice. The Department of Biostatistics PhD program prepares individuals who have demonstrated excellence in mathematics, engineering, and the natural or social sciences to become research biostatisticians in academia, industry, or government. PhD graduates:

Degree Requirements

Biostatistical Methodology (Methods)

A one-year sequence of Advanced Methods in Biostatistics (advanced-level)

Code	Course Title	Credits
PH.140.751	Advanced Methods in Biostatistics I	3
PH.140.752	Advanced Methods in Biostatistics II	4
PH.140.753	Advanced Methods in Biostatistics III	4
PH.140.754	Advanced Methods in Biostatistics IV	4

Probability and Statistical Theory (Theory)

A one-year sequence of introductory-level probability and statistical theory

Code	Course Title	Credits
PH.140.646	Essentials of Probability and Statistical Inference I: Probability	4
PH.140.647	Essentials of Probability and Statistical Inference II: Statistical Inference	4
PH.140.648	Essentials of Probability and Statistical Inference III: Theory of Modern Statistical Methods	4
PH.140.649	Essentials of Probability and Statistical Inference IV	4

Probability and Statistical Theory (Theory)

A one-year sequence of probability theory (advanced-level)

Code	Course Title	Credits
PH.140.721	Probability Theory I	3
PH.140.722	Probability Theory II	3
PH.140.723	Probability Theory III	3
PH.140.724	Probability Theory IV	3

Probability and Statistical Theory (Theory)

A one-year sequence of statistical theory (advanced-level)

Code	Course Title	Credits
PH.140.731	Statistical Theory I	4
PH.140.732	Statistical Theory II	4
PH.140.733	Statistical Theory III	4
PH.140.734	Statistical Theory IV	4

Data Science

A one-year sequence of introductory-level data science

Code	Course Title	Credits
PH.140.776	Statistical Computing	3
PH.140.777	Statistical Programming Paradigms and Workflows	3
PH.140.628	Data Science for Public Health in Python	4
PH.140.629	AI for Public Health in Python	4

Data Science

A one-year sequence of data science and computing (advanced-level)

Code	Course Title	Credits
PH.140.644	Statistical Machine Learning: Methods, Theory, and Applications	4
PH.140.777	Statistical Programming Paradigms and Workflows	3
PH.140.778	Statistical Computing, Algorithm, and Software Development	4
PH.140.779	Advanced Statistical Computing	4

Data Science

A half-year sequence of advanced data science (advanced-level)

Code	Course Title	Credits
PH.140.711	Advanced Data Science I	3
PH.140.712	Advanced Data Science II	3

First Term