Courses - Fall 2026
EPIB301
Epidemiology for Public Health Practice
Credits:
3
Grad Meth:
Reg, P-F
Restriction: Must be enrolled in a major in SPHL-School of Public Health; and must have earned a minimum of 45 credits.
An examination of the discipline of epidemiology and its application to public health issues and practices, covering current epidemiological concepts and methods.
As agreed to during the change of major workshop or orientation to PHSC: PHSC students who declared their major BEFORE the spring 2018 semester are required to take EPIB300 before EPIB301. PHSC students who declared their major DURING the spring 2018 semester and later, are required to take EPIB301 before EPIB315.
EPIB315
Biostatistics for Public Health Practice
Prerequisite: Minimum grade of C- in EPIB301.
Restriction: Must be enrolled in the Public Health Science, Public Health Practice, or Global Health majors.
Credit only granted for: EPIB300 or EPIB315.
Formerly: EPIB300.
An examination of biostatistical concepts and procedures as they relate to contemporary issues in public health. Focus on applications, hands-on-experience, and interpretations of statistical findings in public health research.
EPIB399
Epidemiology and Biostatistics Independent Study
Credits:
1 - 3
Grad Meth:
Reg
EPIB610
Foundations of Epidemiology
Credits:
3
Grad Meth:
Reg, Aud, S-F
Prerequisite: EPIB300; or equivalent undergraduate statistics or biostatistics course with a grade of C- or higher; or a score of 70% or higher on EPIB300 placement exam.
Credit only granted for: EPIB610 or HLTH720.
Formerly: HLTH720.
Introduction to the discipline of epidemiology and its applications to health issues and practices. Basic epidemiologic concepts and methods will be covered.
EPIB612
Epidemiologic Study Design
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Minimum grade of B- in EPIB611.
Application of epidemiologic study designs, analytic methods used for analysis of cohort, case-control, cross-sectional, and clinical trials research.
EPIB644
Systematic Reviews and Meta-Analyses
Credits:
3
Grad Meth:
Reg
Prerequisite: Students must have completed EPIB610, 611 and EPIB 650 with a grade of B or better.
Restriction: Students from departments other than EPIB must request departmental permission to register.
This course will offer students the principles and methods of conducting systematic reviews and meta-analyses, key approaches in evidence-based decision-making. Students will gain knowledge on the step by step process of conducting systematic reviews including how to develop clear research questions, to design and register review protocols, to conduct comprehensive searches for relevant studies, to critically review and synthesize primary research studies and to review the quality and bias of included studies using established tools. Students will also learn how to perform quantitative synthesis using meta-analytic techniques.
EPIB650
Biostatistics I
Credits:
3
Grad Meth:
Reg, Aud, S-F
Prerequisite: EPIB300; or equivalent undergraduate statistics or biostatistics course with a grade of C- or higher; or a score of 70% or higher on EPIB placement exam.
Credit only granted for: EPIB650, HLTH651, or HLTH688B.
Formerly: HLTH651 and HLTH688B.
Basic statistical concepts and procedures for Public Health. Focuses on applications, hands-on-experience, and interpretations of statistical findings.
EPIB651
Applied Regression Analysis
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Minimum grade of B- in EPIB650.
Recommended: EPIB697 or previous experience working with SAS is highly recommended.
An introduction to important statistical methods used in public health research, including nonparametric hypothesis testing, ANOVA, simple and multiple linear regression, logistic regression, and categorical data analysis.
EPIB652
Categorical Data Analysis
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: EPIB651.
Recommended: EPIB697 or previous experience working with SAS is highly recommended.
Methods for analysis of categorical data as applied to public health research, including contingency tables, logistic regression, multicategory logic models, loglinear models, and models for matched-pairs.
EPIB655
Longitudinal Data Analysis
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: EPIB651.
Statistical models for drawing scientific inferences from longitudinal data, longitudinal study design, repeated measures and random effects to account for experimental designs that involve correlated responses, handling of missing data.
EPIB685
Causal Inference in Epidemiology
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Minimum grade of B- in EPIB611 or equivalent; and minimum grade of B- in EPIB651 or equivalent; or permission from instructor.
Recommended: EPIB612 or equivalent and previous programming experience through coursework (e.g., EPIB695, EPIB697) or other activities.
Public health and epidemiologic research are largely focused on asking causal questions (e.g., "Does X cause disease Y?"); however, most observational studies do not have appropriate study designs and analytic approaches to generate causal conclusions. This course will introduce students to causal inference fundamentals and methodology, with a focus on how to generate and analyze data to make causal inferences. This course will review the differences between association and causation, how to develop causal research questions, the underlying assumptions needed for causal inference, and how to design and analyze studies with causal questions. Applied examples and hands-on exercises will be used throughout the course to help students master the concepts.
EPIB697
Public Health Data Management
Credits:
3
Grad Meth:
Reg
Restriction: Must be in a program within the Maryland School of Public Health .
This course is designed to provide students with the expertise needed to effectively manage research data using SAS as the statistical programming language.
EPIB742
Association Models for Case-Control and Ecological Studies
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: EPIB741.
The second part of a two-course advanced methods series specifically designed for doctoral students in epidemiology. EPIB742 emphasizes the implementation of analytical strategies rooted in epidemiologic principles for data analysis. The course focuses on specific association modeling techniques for analyzing data from traditional, matched, and population-based case-control studies, case-crossover studies, and ecological studies. Key topics include model specification, effect estimation, control of confounding, and assessment of interaction effects. The curriculum covers applied multivariate regression models such as traditional logistic regression, conditional logistic regression, conditional Cox proportional hazards regression, and weighted Cox regression models. Additionally, the course introduces spline techniques for analyzing dose-response data. Detailed procedures for model specification, assessment of model assumptions, selection of alternative models, effect estimates, and interpretation of findings from association models are thoroughly explored.
EPIB778
Practical Experience in Public Health
Credits:
1 - 3
Grad Meth:
Reg
EPIB786
Capstone Project in Public Health
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Permission of SPHL-Epidemiology & Biostatistics department.
Restriction: Must be enrolled in the Master of Public Health program in Biostatistics or Epidemiology.
Capstone experience providing opportunity to apply knowledge and skills to a specific public health problem or issue. Completion of project relevant to public health under the direction of an advisor.
EPIB788
Critical Readings in Epidemiology and Biostatistics
Credits:
1
Grad Meth:
Reg, Aud
EPIB798
Independent Study
Credits:
1 - 6
Grad Meth:
Reg, Aud
EPIB799
Master's Thesis Research
Credits:
1 - 6
Grad Meth:
S-F
EPIB898
Pre-Candidacy Research
Credits:
1 - 8
Grad Meth:
Reg
EPIB899
Doctoral Dissertation Research
Credits:
6
Grad Meth:
S-F
Flagship Institution of the University System of Maryland
University of Maryland, College Park, MD 20742, USA
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