Why Online Learning Modules?
The MPH online learning modules allow you to learn about public health concepts in your own time and at your own pace. They are designed to complement MPH courses as well as concepts and skills that cut across a range of disciplines in Public Health. They may be used to review material, prepare for a practicum, or simply broaden your understanding of the field.
Accessible and Inclusive Design
The Office of Teaching and Digital Learning is committed to designing our online modules with the principles of universal design, also known as inclusive design.
We are in the process of updating our modules to meet the latest standards of both:
Module Topics
Feel free to explore the steadily growing menu of course topics. For more information or to suggest module topics, please contact your faculty or Teaching and Digital Learning staff, Rob Schadt or Wayne LaMorte.
MPH Curriculum
General Topics
Biostatistics
- Basic Quantitative Concepts
- Biostatistics - Basic Concepts
- Summarizing Data
- Probability
- Confidence Intervals
- Sample Size & Power
- Hypothesis Testing - Means & Proportions
- Hypothesis Testing - ANOVA
- Hypothesis Testing - Chi Squared
- Confounding & Effect Modification
- Correlation & Linear Regression
- Multivariable Methods
- Nonparametric Tests
- Survival Analysis
Epidemiology
- Evolution of Epidemiology & Public Health
- Descriptive Epidemiology
- Overview of Analytic Epidemiology
- Surveillance
- Measuring Disease Frequency
- Measures of Association
- Random Error
- Research Ethics
- Clinical Trials
- Cohort Studies
- Bias
- Case-Control Studies
- Standardized Rates
- Confounding
- Effect Measure Modification
- Multivariable Methods
- Screening
- Causality
- Critical Review
Health Policy & Management
Social & Behavioral Health Sciences
Public Health Biology
Interdisciplinary Cases
Skills
Analytical Tools
- Using Spreadsheets - Excel & Numbers
- Getting Started with R - Data Basics
- Summary Statistics and Graphical Displays
- Basic Programming
- One and Two Sample Tests and ANOVA
- Correlation and Regression
- Categorical Data Analysis
- Logistic Regression and Survival Analysis
- Addendum - Normal, Binomial, Poisson Probabilities
Statistical Programming with R
How to
Public Health Practice in MA
- Online modules offered by the Institute
The Local Public Health Institute (the Institute) is a Massachusetts Department of Public Health (MDPH) funded entity created to strengthen local public health through training and education.