Course Sequence - MSPH in Data Science in Environmental Health
Fall 1
Includes 15 total credit hours.
Students must also take DATA 515: Introduction to Data Science I.
For non-BIOS Students Only. The goal of the course is to will provide an introduction to R in organizing, analyzing, and visualizing data. Once you've completed this course you'll be able to enter, save, retrieve, summarize, display and analyze data.
Prerequisites: BIOS 500, BIOS 506, BIOS 508 or permission of instructor. In this course, you'll learn about the basic structure of relational databases and how to read and write simple and complex SQL statements and advanced data manipulation techniques. By the end of this course, you'll have a solid working knowledge of structured query language. You'll feel confident in your ability to write SQL queries to create tables; retrieve data from single or multiple tables; delete, insert, and update data in a database; and gather significant statistics from data stored in a database. This course will teach key concepts of Structured Query Language (SQL), and gain a solid working knowledge of this powerful and universal database programming language. This course provides a comprehensive introduction to the language of relational databases: Structured Query Language (SQL). Topics covered include: Entity-Relationship modeling, the Relational Model, the SQL language: data retrieval statements, data manipulation.
EH department students only. Required foundation course for students in all master's programs administered by Department of Environmental Health. Introduces students to major topics in environmental health, including mechanisms of toxicity, pesticides and other chemicals, children's health, WASH (water, sanitation, and hygiene), infectious disease, air pollution, climate change, and planetary health. Describes tools used to understand these EH topics, such as exposure science, epidemiology, toxicology, biomarkers/omics, risk assessment, implementation science, and policy.
Prerequisite/concurrent: BIOS 500. Emphasizes the concepts and premises of the science of epidemiology. Methods of hypothesis formulation and evaluation are stressed. Techniques for quantifying the amount of disease (or other health indicator) in populations are introduced, followed by discussion of epidemiologic study designs useful for identifying etiologic factors and other relevant correlates of disease. Students gain facility with the calculation of basic epidemiologic measures of frequency, association, and impact. The concepts of random variability, bias, and effect modification are examined in detail. The use of stratified analysis, including Mantel-Haenszel techniques, is explored. Inferences from study results are discussed. Students are required to analyze and critique studies from the current medical and scientific literature.
Online Asynchronous. 1 hour online module addressing 4 of the 12 CEPH required Foundational Knowledge items. The module will begin with an introduction to a "Public Health Perspective followed by the 4 items of foundational knowledge.
Spring 1
Includes 10 credit hours of required courses and 2 credit hours of electives.
Students must also take DATA 516: Introduction to Data Science II.
Prerequisites: BIOS 500, 506, or 508 and (BIOS 544 or BIOS 545 or EPI 534) or permission of instructor. The elective course gives an introduction to machine learning techniques and theory, with a focus on its use in practical applications. The Applied Machine Learning course teaches you a wide-ranging set of techniques of supervised and unsupervised machine learning approaches using R as the programming language.
Prerequisites: BIOS 544 or BIOS 545, R programming experience needed or permission of the instructor. This course is an elective for Masters and PhD students interested in learning some fundamental tools used in modern data science. Together, the tools covered in the course will provide the ability to develop fully reproducible pipelines for data analysis, from data processing and cleaning to analysis to result tables and summaries. By the end of the course students will have learned the tools necessary to: develop reproducible workflows collaboratively (using version control based on Git/GitHub), execute these workflows on a local computer (using command line operations, RMarkdown, and GNU Makefiles), execute the workflows in a containerized environment allowing end-to-end reproducibility (using Docker), and execute the workflow in a cloud environment (using Amazon Web Services EC2 and S3 services). Along the way, we will cover a few other tools for data science including best coding practices, basic python, software unit testing, and continuous integration services.
Required for all MPH students. Introduces students to the US health care system, both the public and private sector. Examines the structure of the health system, current topics in health care reform, the policy process, and advocacy for public health.
PUBH students will join students from health professional programs across the Woodruff Health Sciences Center to receive didactic training to perform effectively on interprofessional teams and to apply leadership and management principles to address a relevant public health issue. Interprofessional teams will compete in a health challenge competition designed to address public health and clinical issues of importance to the Atlanta community.
Fall 2
Includes 10 total credit hours.
Prerequisites: college-level biology and chemistry or instructor's permission. The goal of this course is to introduce the student to the basic principles of toxicology. Humans are exposed to a variety of dangerous substances through occupational and environmental exposures. In order to interpret the public health implications of these exposures one must have a good understanding of how these compounds get into the body, how they are processed in the body, and how they damage particular organ systems. To accomplish this, students will gain practical knowledge of the workings of specific organ systems and will be able to identify particular environmental chemicals and their mechanisms of action that underlie organ toxicity. This information will be conveyed through lecture material and reinforced by relevant readings, in-class discussion, and additional assignments that are focused on ensuring that the toxicological topics are further evaluated and considered in the context of current environmental and human health concerns and do not simply exist as standalone facts.
Surveys the general principles and practices of environmental health risk assessment for toxic exposures in the environment and interactions with other factors contributing to human health risks. A variety of case studies will be used to demonstrate the basic methods and results of risk assessment, including estimation/evaluation of potential risk based on empirical evidence (e.g., laboratory animal studies, epidemiological studies), hazard and dose-response assessment for regulatory decisions, and uncertainty analysis and risk communication. Students will be introduced to and use key tools used in quantitative risk assessment.
Gangarosa Department of Environmental Health
Prerequisites: Students should have taken BIOS 500 and EPI 530. It is preferred that students also take BIOS 501 or BIOS 591P. Students should be comfortable using R. While not required, it is preferable that students take BIOS 544 concurrently or prior to taking this course. In the Methods for Environmental Mixtures course, students will learn the importance of evaluating environmental exposures as mixtures, as well as an overview of selected environmental mixture methods and data analysis techniques commonly used in public health research. This course focuses on developing an understanding of when to use a specific method, the pros and cons of different approaches, and hands-on applications of environmental mixture methods in R. The course is an elective that is open to second year MPH students and PhD students. It is required that students bring their laptops to class.
Gangarosa Department of Environmental Health
This course introduces basic concepts underpinning research and project design in environmental health. Students will learn of integrative learning experience (ILE) project types in environmental health, identify and/or refine their individual ILE project topics, develop key elements required for proposing work on their project topic, and demonstrate project feasibility by producing preliminary results. Throughout, students will develop and apply their writing skills and participate in providing feedback to peers. By the end of the course, students will submit a full written ILE proposal and a final presentation that provides an oral overview of their proposed ILE.
Gangarosa Department of Environmental Health
Pre-requisites: GEH, GH, and GLEPI students may not enroll unless with departmental permission.
The overarching objective of GH 500 is to equip students with critical perspectives and resources that they will need as public health professionals and global citizens in our increasingly inter-connected and interdependent world. The course introduces students to: (1) fundamental cross-cutting themes that contextualize contemporary global health issues; and (2) selected health topical areas such as maternal and child health, pandemics, and non-communicable diseases. The course provides an overview of the past, present, and expected future directions of global health.
Spring 2
Includes 6 credit hours of required courses and 5 credit hours of electives.
Provides the student with basic knowledge about the behavioral sciences as they are applied to public health. Content includes an overview of each discipline and current issues for students who are not enrolled in the BSHE MPH Program.
Note: changed to EH 561 Fall 2026, new course ID number.
This elective course provides students with an overview of systems biology, genetics, epigenomics, and transcriptomics, within the context of environmental health. We will cover policy and translational implications and teach the underlying biological principles driving these analyses, laboratory methods involved, analytic approaches, and epidemiologic considerations. Upon completion of this course, students should be better equipped to read and interpret the scientific literature utilizing these methods and begin to consider how these approaches could be included in their own research.
Gangarosa Department of Environmental Health
The course provides a productive, supportive and critical environment for the completion of integrative learning experiences (ILE). EH skills gained during the MPH program are applied and integrated. Students will submit a completed ILE paper that describes the justification, methodologies, findings, and products of their ILE project, as well as a poster presentation that summarizes the highlights of their project.
Gangarosa Department of Environmental Health
An Applied Practice Experience (APE) is a unique opportunity that enables students to apply practical skills and knowledge learned through coursework to a professional public health setting that complements the student's interests and career goals. The APE must be supervised by a Field Supervisor and requires approval from an APE Advisor designated by the student's academic department at RSPH.