MPH in Biostatistics

The MPH in Biostatistics provides the professional training that is common to all MPH Programs of Study in the College of Public Health (the Core MPH requirements) as well as substantive and meaningful training in Biostatistics.  This degree is designed to train public health professionals who can provide leadership in the analysis of public health data and the design of studies for public health investigations. Individuals with an interest in public health and with quantitative ability, but without advanced mathematics training, may find this an interesting career track.

Graduates of the MPH in Biostatistics will be able to:

  • Demonstrate a broad knowledge and understanding of statistical techniques used in public health studies and investigations.
  • Serve as an advocate for good statistical design in public health investigations.
  • Apply appropriate statistical methods for inference about public health-related questions, and describe the results to public health professionals and educated lay audiences.
  • Interpret the results of statistical analyses in public health-related publications for public health professionals and educated lay audiences.
  • Promote the use of sound statistical methods to answer open questions in public health practice.
  • Function as a collaborator on public health projects, taking a leadership role in the design and implementation of projects.
  • Assume responsibility for the design and implementation of analyses in investigations of public health questions.
  • Manage the data for public health-related projects such as large community surveys, laboratory investigations, and multi-center clinical trials.
  • Demonstrate effective written and oral communication skills when communicating quantitative information and statistical inferences to different audiences of public health professionals.

Examples of careers include:

  • Biostatistician
  • Data Scientist
  • Data Analyst
  • SAS Programmer
  • Informatics Analyst

Prerequisites

  • Although no specific major is required, previous coursework or experience in statistical methods or data analysis is preferred.
  • Familiarity with the mathematics of single variable calculus and matrix algebra are required. These requirements can be satisfied by a one-semester college course in calculus equivalent to AP Calculus AB and a high school algebra course involving matrices.
  • Knowledge of elementary computer programming is required. Programming in any commonly used modern programming language (e.g., Python, Java, C++) is acceptable.

A typical student completes the MPH in two years. The following are two sample plans of study based on a full-time student starting in the Fall. Please work with your advisor to choose a plan that works best for you.

Course No.Course nameHours
 Fall 114 s.h.
BIOS:4120Intro to Biostatistics*3 s.h.
BIOS:4510Data Science Foundations in R2 s.h.
EPID:4400Epidemiology I*3 s.h.
OEH:4240Global Environmental Health*3 s.h.
CPH:5100Introduction to Public Health*3 s.h.
 Spring 112 s.h.
BIOS:5120Regression & ANOVA in Health Sciences3 s.h.
CBH:4105Intro to Health Promotion and Disease Prevention*3 s.h.
HMP:4000Intro to the US Healthcare System*3 s.h.
BIOS: ###BIOS Elective3 s.h.
 Fall 211-12 s.h.
BIOS:5130Applied Categorical Data Analysis3 s.h.
BIOS:####BIOS Elective or
BIOS:6310 Introductory Longitudinal Data Analysis
3 s.h.
BIOS: ###BIOS Elective3 s.h.
BIOS: ###BIOS Elective2-3 s.h.
CPH:5203Interprofessional Education & Practice for MPH Students0 s.h.
 Spring 25-6 s.h.
BIOS: ###BIOS Elective or
BIOS:6210 Applied Survival Analysis
2-3 s.h.
CPH:7800MPH Practicum3 s.h.
 MPH degree total42 s.h.

*Denotes MPH Core Course that must be completed prior to enrolling in CPH:7800.

AreaHours
MPH Core18 s.h.
BIOS Required8 s.h.
BIOS Electives13 s.h.
Interprofessional Education & Practice0 s.h.
MPH Practicum3 s.h.
Total42 s.h.

Advanced Sequence

Students with sufficient mathematical background can take an advanced Biostatistics sequence. The advanced sequence replaces the Biostatistics core course, and 8 hours of Biostatistics required classes with 15 hours of advanced coursework. The advanced sequence reduces the elective credits needed by 2 s.h. The total credits for degree will remain 42 credits.

Biostatistics Sequence (11 s.h.)Advanced Biostatistics Sequence (15 s.h.)
BIOS:4120 Introduction to Biostatistics (MPH Core)BIOS:5710 Biostatistical Methods I
BIOS:5120 Regression Modeling & ANOVA in the Health SciencesBIOS:5720 Biostatistical Methods II
BIOS:5130 Applied Categorical Data AnalysisBIOS:5730 Biostatistical Methods in Categorical Data
BIOS:4510 Data Science Foundations in RBIOS:5510 Biostatistical Computing

Elective Course Options

Electives may be chosen from the following list or may include any related course approved by the student’s faculty advisor.

Course numberCourse nameHours
BIOL:4213Bioinformatics3 s.h.
BIOS:6210Applied Survival Analysis3 s.h.
BIOS:6310Introductory Longitudinal Data Analysis3 s.h.
BIOS:6420Survey Design and Analysis3 s.h.
BIOS:6610Statistical Methods in Clinical Trials3 s.h.
BIOS:6650Casual Inference3 s.h.
BIOS:6720Machine Learning for Biomedical Data3 s.h.
BIOS:6810Bayesian Methods and Design3 s.h.
BIOS:7270Scholarly Integrity in Biostatistics1 s.h.
BIOS:7600Advanced Biostatistics Seminar0-3 s.h.
CS:4470Health Data Analytics3 s.h.
CS:4740Large Data Analysis3 s.h.
CS:5110Introduction to Informatics3 s.h.
DATA:6200Predictive Analytics3 s.h.
EPID:5200Principles of Public Health Informatics3 s.h.
EPID:6920Applied Administrative Data Analysis2 s.h.
ISE:4172Big Dara Analytics3 s.h.
STAT:3100Intro to Mathematical Statistics I3 s.h.
STAT:3101Intro to Mathematical Statistics II3 s.h.
STAT:3210Experimental Design & Analysis3 s.h.
STAT:4100Mathematical Statistics I3 s.h.
STAT:4101Mathematical Statistics II3 s.h.
STAT:4520Bayesian Statistics3 s.h.
STAT:4540Statistical Learning3 s.h.
STAT:4580Data Visualization and Data Technologies3 s.h.