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Build your skills and conduct important research in your field with our online PhD in Public Health degree program.
Infectious and chronic diseases can devastate entire communities. The Epidemiology specialization broadens your understanding of how these diseases affect populations and explores strategies for maintaining the health of communities. Study how the prevalence of chronic diseases like cancer and diabetes can stress communities and learn to create education programs that can help prevent the spread of chronic disease. As part of your coursework, you will conduct an epidemiological field study that includes original research.
Track I is designed for students with a Master of Public Health (MPH) or an MS in Public Health.
You may be eligible to transfer a maximum of 40 graduate-level credits into the program.
Walden students have 8 years to complete their doctoral program unless they petition for an extension.
In general, students are continuously registered in the dissertation/doctoral study course until they complete their capstone project and it is approved. This usually takes longer than the minimum required terms in the dissertation/doctoral study course shell.
To complete a doctoral dissertation, students must obtain the academic approval of several independent evaluators including their committee, the University Research Reviewer, and the Institutional Review Board; pass the Form and Style Review; gain approval at the oral defense stage; and gain final approval by the Chief Academic Officer. Students must also publish their dissertation on ProQuest before their degree is conferred. Learn more about the dissertation process in the Dissertation Guidebook.
This sequence represents the minimum time to completion. For a personalized estimate of the number of your transfer credits that Walden would accept, call an enrollment advisor at 855-646-5286.
|Course Code||PUBH 8003||Course||Building a Multidisciplinary Approach to Health||Credits||(3 cr.)|
|Course Code||PUBH 8050||Course||Global Health and Issues in Disease Prevention||Credits||(5 cr.)|
|Course Code||PUBH 8130||Course||Communications, Marketing, and Public Relations for Public Health Leaders||Credits||(5 cr.)|
|Course Code||RSCH 8110||Course||Research Theory, Design, and Methods||Credits||(5 cr.)|
|Course Code||RSCH 8210||Course||Quantitative Reasoning and Analysis||Credits||(5 cr.)|
|Course Code||PUBH 8270||Course||Health Informatics and Surveillance||Credits||(5 cr.)|
|Course Code||PUBH 8400||Course||Public Health Leadership and Systems Thinking||Credits||(5 cr.)|
|Course Code||RSCH 8260||Course||Advanced Quantitative Reasoning and Analysis||Credits||(5 cr.)|
|Course Code||PUBH 8315||Course||Economics and Financing of Public Health Systems||Credits||(5 cr.)|
|Course Code||PUBH 8500||Course||Advanced Biostatistics||Credits||(5 cr.)|
|Course Code||PUBH 8551||Course||Preparing for Dissertation||Credits||(5 cr.)|
|Course Code||PUBH 8520||Course||Advanced Epidemiology Methods||Credits||(5 cr.)|
|Course Code||PUBH 8540||Course||Epidemiology Topics Seminar||Credits||(5 cr.)|
|Course Code||PUBH 8560||Course||Advanced Analysis of Secondary Data||Credits||(5 cr.)|
|Course Code||PUBH 9001||Course||Dissertation||Credits||(5 cr. per term for a minimum of 4 quarters until completion)|
Students in this course are introduced to Walden University and the requirements for successfully participating in an online curriculum, and provided with a foundation for academic and professional success as a scholar-practitioner and social change agent. The focus of course assignments is on the practical application of writing and critical-thinking skills and the integration of professional practice with professional and academic excellence as they relate to practice in public health.
An in-depth review of how population-based strategies are used in the prevention of disease and disability is provided to students in this course. Students explore the topics of population health and disease prevention from the perspective of understanding the determinants of health. Using a cross-disciplinary approach, students examine how economics, social factors, health policy, urbanization, globalization, the environment, and other factors influence disease. Students consider how research in disease prevention, health determinants, and population health applies to public and community health efforts.
An overview of marketing and public relations principles as they relate to public health, highlighting theoretical concepts that are commonly used in health communications research, is provided to students in this course. Topics include using social marketing techniques, promoting health literacy, developing community partnerships, and creating culturally sensitive and appropriate promotional materials. Students focus on using social media to identify and advance public health interests and ethical principles. Through case studies, students examine how they can use marketing practices to translate health research into social action and behavioral change.
In this research course, students are provided with core knowledge and skills for understanding, analyzing, and designing research at the graduate level. Students explore the philosophy of science, the role of theory, and research processes. Quantitative, qualitative, and mixed-methods research designs and data collection methods are introduced. The alignment of research components is emphasized. Students also explore ethical and social change implications of designing and conducting research. Students demonstrate their knowledge and skills by developing an annotated bibliography.
In this research course, students are provided with the opportunity to develop core knowledge and skills for designing and carrying out quantitative research at the doctoral level, including the application of statistical concepts and techniques. Students explore classical common statistical tests, the importance of the logic of inference, and social change implications of conducting quantitative research and producing knowledge. Students approach statistics from a problem-solving perspective with emphasis on selecting appropriate statistical tests for a research design. Students use statistical software to derive statistics from quantitative data and interpret and present results. (Prerequisites: RSCH 8110 or RSCH 7110 or RSCH 6110.)
By addressing current trends and future applications in public health research, students develop advanced competency in health informatics and surveillance in this course. The key issues of data standards and integration, vocabularies and data transmission protocols, health information technology, surveillance systems, and the application of geographical information systems to situation awareness are addressed. Other topics include information architecture, public health records, electronic medical records, electronic health records, health information exchange, and database design, as well as information storage, security, and privacy.
In this course, students explore leadership models and theories, the core principles of public health leadership, and the application of systems thinking to public health. They examine how to create strategies and solutions that efficiently utilize public health and healthcare resources. Students also discuss descriptive and prescriptive systems, focusing on the application of these processes to current public health issues and challenges at the organizational and community levels.
Students in this research course build upon knowledge and skills acquired in the prerequisite quantitative reasoning course and are presented with opportunities to apply them. They are provided with more specialized knowledge and skills for conducting quantitative research at the doctoral level, including understanding multivariate data analysis and applying more advanced statistical concepts, such as factorial ANOVA, mediation, moderation, logistic regression, ANCOVA, and MANOVA. Students explore existing datasets and apply suitable statistical tests to answer research questions with social change implications. In this course, they approach statistics from a problem-solving perspective with emphasis on selecting the appropriate statistical tests for more complex research questions and social problems. Students use statistical software to perform analyses and interpret and present results. They will apply and synthesize their knowledge and skills by carrying out a quantitative research project. (Prerequisites: RSCH 8110.)
In this course, students investigate the provision of resources for the delivery of public health services and the application of economic theories to health policy issues. Students explore how organizational characteristics interact with economic forces to produce systems performance outcomes, as well as how fiscal policy can influence the performance of public health systems. Students analyze grant-writing strategies and the advantages and disadvantages of various financing options. Other topics include methods of economic evaluation and their usefulness in determining appropriate financing mechanisms for public health systems.
Students in this course cover the advanced biostatistics methods needed to prepare for conducting future research, as well as for critically reviewing the statistical methods incorporated in public health literature. Students learn to use statistical methodologies such as covariance and repeated measures, longitudinal data analysis, life tables and survival analysis, multiple regression, logistic regression, Poisson regression, and the Cox proportional hazards regression model. In this course, students use SPSS statistical software for advanced data management, manipulation, analysis, and the use of graphical techniques.
The focus of this course is on the preparation for the dissertation phase of training. In this course, students identify a dissertation topic and potential dissertation committee members; begin to conduct a literature review; develop a problem statement and research questions; and evaluate research designs, methods, and types of analyses to use for their dissertation. Students also complete their initial premise in this course and an annotated outline of their prospectus.
Students in this course integrate the principles of epidemiologic design, analysis, and interpretation at an advanced level. Students discuss data sources, assessment of dependent and independent variables, measurement error, confounding, and bias. Students explore methodological issues in epidemiology, including factors critical to public health research, such as missing data, intermediate variables, confounding, complex study designs, meta-analysis, and questionnaire design. Students cover concepts and applications in survival analysis, analysis of incidence rates, life tables, and parametric and nonparametric approaches. PUBH 8500.)
Students in this seminar are exposed to current research and special topics of interest in epidemiology. Students choose from a wide range of discussion topics, including infectious disease, non-endemic communicable disease, chronic disease, global health, maternal and child health, social and behavioral concerns, environmental issues, genetic factors, and other emerging topics of interest. Students perform a critical review of the research literature, providing them further insight into topics of epidemiology.
Through this course, students develop an advanced understanding of statistical methodology and the use of biomedical and secondary data sources. Topics include how researchers work with groups and institutions that provide or create publicly available data sets. Students explore how to design research to make appropriate use of secondary data sources. Students also address simple and complex sampling designs and sample weighting, as well as the strengths and limitations of using secondary data. PUBH 8500, PUBH 8520.)
Through this course, doctoral students have the opportunity to integrate their Program of Study into an in-depth exploration of an interest area that includes the completion of a research study. Students complete the dissertation independently, with the guidance of a dissertation supervisory committee chair and committee members, in a learning platform classroom in which weekly participation is required. Students complete a prospectus, proposal, Institutional Review Board application, and dissertation.Students take this course for a minimum of 4 quarters and are continuously enrolled until completion of their Dissertation with final Chief Academic Officer (CAO) approval.To complete a dissertation, students must obtain the academic approval of several independent evaluators including their committee, the University Research Reviewer, and the Institutional Review Board; pass the Form and Style Review; gain approval at the oral defense stage; and gain final approval by the Chief Academic Officer. Students must also publish their dissertation on ProQuest before their degree is conferred. Learn more about the dissertation process in the Dissertation Guidebook.
*PUBH 9001 must be successfully completed at least four times for 20 credits.
|Course Code||DRWA 8000||Course||Doctoral Writing Assessment||Credits||(0 cr.)|
This course is part of Walden's commitment to help prepare students to meet the university's expectations for writing in courses at the doctoral level. In this course, students write a short academic essay that will be scored by a team of writing assessors. Based on the essay score, students will be guided toward any further recommended or required writing support needed to meet writing proficiency standards. This required course is free. Students will be enrolled automatically in it after they complete their first term of their doctoral program.