Top Masters Programs in Epidemiology

The department is perhaps best known for its doctoral programs in the epidemiology of cancer, aging, lifecourse epidemiology (including perinatal and pediatric epidemiology), genomics, HIV AIDS and social determinants of health. However, students in the ten work on projects with other departments within YSPH, other departments in the School of Medicine, and other schools within the University. Thus there are numerous opportunities for creating an experientially rich doctoral program. Graduates from the department doctoral program are found on the faculties of universities throughout the world, at the highest levels of federal and international research programs, and in numerous private and public foundations, institutions, and industries.

Students in Chronic Disease Epidemiology use primarily quantitative research methods to identify the causes of chronic disease in populations, including lifestyle factors and genomics, and evaluate the impact of chronic disease at a population level including consideration of various treatment approaches to improve outcomes and reduce costs. Students often take an advanced seminar in their specialty area and present their work in this collegial forum. All candidates must become proficient in statistical analysis, research methods, and the application of epidemiology to the field in which they have special interest.

Students entering the doctoral program typically have a strong background in science and frequently have a master degree in public health or a related field, or significant public health research experience. A master’s degree is not required to for this program, although the majority of students in the program come with prior master’s preparation.

The Master of Public Health in Epidemiology (MPH-EPI) program at the Harvard Chan School is tailored to equip students with the necessary skills and expertise to excel in leadership roles within their respective fields, all while accommodating their demanding schedules. As part of this program, students specialize in advanced quantitative epidemiology methodologies, focusing on their applications in both clinical and population health research, policy development, and implementation of public health initiatives.

This unique part-time format of the MPH-EPI program integrates a blend of on-campus, online, and field learning experiences, providing students with a comprehensive educational journey that caters to their professional and personal commitments. Through a carefully crafted curriculum, students benefit from the renowned expertise of faculty members at the Harvard Chan School, gaining insights into cutting-edge epidemiological techniques and strategies.

The program offers students the flexibility to participate in coursework and collaborative activities online, enabling them to effectively manage their studies alongside their professional commitments. In addition, on-campus sessions provide valuable opportunities for students to engage in in-depth discussions, receive hands-on training, and network with both peers and field experts.

Moreover, field learning experiences are incorporated into the program, providing students with firsthand exposure to real-world epidemiological challenges. These experiences allow students to apply theoretical knowledge in practical settings, thereby strengthening their problem-solving skills and preparing them for leadership roles in tackling complex public health issues.

Epidemiology is the study of the distribution, determinants and control of illness and impairment in human populations. It is the cornerstone of population health, and informs policy decisions and evidence-based medicine by identifying risk factors for disease and targets for treatment and prevention. The Division of Epidemiology is part of the Health Research and Policy, and it is physically located on the Stanford School of Medicine campus. Its primary activities include:.

Advancing knowledge in epidemiology through educational programs for graduate, and postgraduate students.

Stanford Epidemiology is a leader in the following areas — cancer epidemiology, infectious disease epidemiology, neuroepidemiology, cardiovascular disease epidemiology, musculoskeletal disease epidemiology, and epidemiologic methods, as well as aspects of genetic epidemiology, reproductive epidemiology and women health.

The Division offers the Master and PhD programs in epidemiology and clinical research. The Master Degree in Epidemiology and Clinical Research provides students with the skills essential to patient-oriented clinical research, including epidemiologic methods and statistical analysis.

The program also considers applicants from doctoral programs in the social, behavioral or biological sciences, who are interested in a concurrent master degree and wish to epidemiologic techniques in their areas of research interest. The program also serves as a rigorous introduction to epidemiology and clinical research for students with baccalaureate degrees who anticipate careers in clinical epidemiology or medicine.

The PhD program in epidemiology and clinical research will provide methodologic and interdisciplinary training that will equip students to carry out cutting-edge epidemiologic research. The program trains students in the tools of modern epidemiology, with heavy emphases on statistics, computer science, genetics, genomics, and bioinformatics. We welcome applicants with diverse backgrounds.

Starting Autumn Quarter 2018, the Epidemiology division of Health Research and Policy is offering a Graduate Certificate in Epidemiology and Clinical Research.

Epidemiology is a division in the Health Research and Policy (HRP). The department provides the analytical foundation for research conducted at the Stanford School of Medicine, offering expertise on collecting and interpreting scientific evidence essential to improving human health.

Epidemiology course provides an introduction to the fundamentals of research in clinical epidemiolgy. It covers definitions of epidemiology measures of disease frequency measures of effect and association epidemiologic study designs, including randomized clinical trials, cohort and case-control studies, cross-sectional surveys, meta-analysis and decision analysis and an of the conduct and analysis of epidemiologic studies. The course is composed of a series of lectures and discussion sessions designed to reinforce concepts introduced in the the preceding lecture.

The first half of this covers concepts in biostatistics as applied to epidemiology, primarily categorical data analysis, analysis of case-control, cross-sectional, cohort studies, and clinical trials. Topics include simple analysis of epidemiologic measures of effect stratified analysis confounding interaction, the use of matching, and sample size determination. The second half of this course covers concepts in biostatistics as applied to epidemiology, primarily multivariable models in epidemiology for analyzing case-control, cross-sectional, cohort studies, and clinical trials. Topics include logistic, conditional logistics, and Poisson regression methods simple survival analyses including Cox regression. Emphasis is placed on understanding the proper application and underlying assumptions of the methods presented. Laboratory sessions focus on the use of the STATA statistical package and applications to clinical data.

Prerequisites: Permission of course director. Introductory Epidemiology (EPID 510) and Biostatistics for Epidemiologic Methods I (EPID 526) previously or concurrently.

Prerequisites: Permission of course director. Students enrolling in this class are expected to have a working knowledge of epidemiology, biostatistics, and human genetics. Students who do not meet these requirements may be allowed to enroll in the class, but may be required to undertake supplemental readings and or tutorials to obtain the necessary background.

Prerequisites: Familiarity with basic statistical (e.g., EPID 526 7 or other first-year graduate level stats course) concepts is expected, as this course will not cover basic concepts in depth. background in biology and computing would be helpful, but no formal requirements will be enforced.

This is a tutorial given by each student advisor. Advisor and student meet weekly. Topics include: discussion and review of epidemiologic concepts and principles, guided readings in the epidemiology of a specific health area, and the development of the research protocol.

An introduction to the principles of and methods for longitudinal and clustered data analysis with special emphasis on clinical, epidemiologic, and public health applications. Designed for advanced MS and PhD-level students in epidemiology and related fields. Marginal and conditional methods for continuous and binary outcomes. Mixed effects and hierarchical models. Simulations for power calculations. Each student will be required to participate in 4 labs and complete associated problem sets. They may also use their own data to fulfill these requirements in part. Software will include Stata and R.

Prerequisites: Completion of EPID 526 527 or equivalent preparation in biostatistics, including generalized linear models. Completion of semester course in principles of epidemiology or equivalent. Good working knowledge of Stata and SAS and familiarity with principles of first-year calculus and matrix algebra. Permission of course director.

This course is an introduction to statistical methods that can be used to evaluate biomarker prognostic studies and multivariate prediction models. It is designed for advanced MS and PhD-level students in epidemiology and related fields(nursing, health policy, social work, demography). Topics will include biostatistical evaluation of biomarkers, predictive models based on various regression modeling strategies and classification trees, assessing the predictive ability of a model internal and external validation of models and updating prognostic models with new variables or for use in different populations. Students will learn the statistical methods that are required by current reporting guidelines for biomarker prognostic studies or the reporting guidelines for multivariable prediction models.

Prerequisites: Completion of EPID 526,EPID 527 and either EPID 622 or 623 or equivalent preparation in either categorical analysis or survival analysis. Working knowledge of either Stata, SAS or R to fit regression,logistic regression and or Cox regression models. Permission of course director for students outside of School of Medicine graduate programs.

This course is designed to provide an of the major topic areas in biomedical informatics, especially as they to clinical research, and specifically to clinical epidemiology.Through a series of lectures and demonstrations, students will learn topics such as databases, natural language, clinical information systems, networks, artificial intelligence and machine learning applications, decision support, imaging and graphics, and the use of computers in medical education.

This course is designed to introduce students to advanced epidemiologic methods through a series of readings and discussions. The course aims to deepen the students' understanding of important concepts and controversies in contemporary epidemiology and to enhance their ability to think critically empirical epidemiologic research. The course is intended for students who are already familiar with the fundamentals of epidemiology and biostatistics, and who wish to gain an understanding of the complex issues underlying epidemiologic study design and interpretation.

This is an advanced course that addresses epidemiological research issues as they to important clinical topics in cardiovascular and pulmonary medicine. Lectures and workshops are designed to acquaint students with the classic literature in the fields of cardiovascular and pulmonary epidemiology,to use a body of literature to demonstrate the strengths and weakness of epidemiological research designs as they have been applied to cardiovascular and pulmonary medicine to expose students to the range of topics studied to teach advanced epidemiological principles using a problem-based approach, and to stimulate students to develop independent research questions.

This is an advanced course that addresses epidemiological research issues as they to important clinical topics in obstetrics and gynecology and related clinical disciplines. Lectures and workshops are designed to acquaint students with seminal issues in the field of reproductive epidemiology, to use a body of literature to demonstrate the strengths and weaknesses of epidemiolological research designs as they have been applied to obstetrics and gynecology and related clinical disciplines, to expose students to the range oftopics studied, to teach advanced epidemiologic principles using a problem-based approach, and to stimulate students interested in reproductive epidemiology to develop independent research questions.

The objective of this course is to prepare students to function as effective, independent researchers in the fields of renal and urologic epidemiology by providing the students an understanding of how epidemiologic research can and has advance(d) the knowledge of diseases in treatments of renal and urologic medicine. The structure of the course consists of a lecture series, workshops, and student presentations.

EPID 656 Research Methods in Infectious Diseases Epidemiology.

This is an advanced course addressing epidemiological issues as they to important clinical topics in infectious diseases. Lectures and discussions will serve two primary goals: 1) to explore epidemiologic methods specific to infectious diseases (e.g. adherence to therapy) or which have important applications to infectious diseases (e.g. molecular epidemiology) and 2) to explore the epidemiology of particular infectious diseases or syndromes (e.g. HIV). This course will acquaint students with the classic literature in the field of infectious diseases epidemiology, teach advanced epidemiological principles using a problem-based approach, and demonstrate the strengths and weaknesses of research methodologies as they have been applied to infectious diseases.

This course is designed to teach epidemiology students the statistical principles of analysis specific to pharmacoepidemiology study designs including the use of propensity scores, inverse probability weighting, time varying confounding analyses, disease risk scores, and instrumental variables. Each session includes both a lecture component and laboratory component. Students will learn the statistical principles and then them to example study datasets.Laboratory sessions will be conducted on the students laptops using STATA software.

Prerequisites: Introduction to Genetic Epidemiology or equivalent training in study design and statistical analysis related to statistical genetics and molecular epidemiology, and permission of course directors.

Master of Applied Science (MAS) in Patient Safety and Healthcare Quality.

Master of Applied Science (MAS) in Population Health Management.

Master of Applied Science (MAS) in Spatial Analysis for Public Health.

Master of Arts (MA) in Geography and Environmental Engineering.

Master of Arts and Master of Science in Public Health (MA MSPH).

Master of Arts in Public Health Biology (MAPHB).

Master of Health Science (MHS) Biochemistry and Molecular Biology.

Master of Health Science (MHS) Epidemiology.

Master of Health Science (MHS) Mental Health.

Master of Health Science (MHS) Molecular Microbiology and Immunology.

Master of Health Science (MHS) in Environmental Health.

Master of Health Science (MHS) in Health Economics and Outcomes Research.

Master of Health Science (MHS) in Social Factors in Health.

Master of Health Science Biostatistics.

Concurrent School-Wide Master of Health Science Program in Biostatistics.

Master of Health Science Population, Family and Reproductive Health.

Master of Health Science Online (MHS) Population, Family and Reproductive Health.

Master of Health Science in Global Health Economics.

Master of Science (MS) in Geography and Environmental Engineering.

Master of Science (MS) in Occupational and Environmental Hygiene.

Master of Science (MS) in Toxicology for Human Risk Assessment.

Master of Science (ScM) Biochemistry and Molecular Biology.

Master of Science (ScM) Biostatistics.

Master of Science (ScM) Epidemiology.

Master of Science (ScM) Molecular Microbiology and Immunology.

Master of Science in Engineering (MSE) in Geography and Environmental Engineering.

Master of Science in Public Health (MSPH) in Health Education and Health Communication.

Master of Science in Public Health (MSPH) in Health Policy.

Master of Science in Public Health International Health.

Master of Science in Public Health (MSPH) in Global Disease Epidemiology and Control.

Master of Science in Public Health (MSPH) in Health Systems.

Master of Science in Public Health (MSPH) in Human Nutrition.

Master of Science in Public Health (MSPH) in Social and Behavioral Interventions.

Master of Science in Public Health Population, Family and Reproductive Health.

Doctor of Philosophy (PhD) Biochemistry and Molecular Biology.

Doctor of Philosophy (PhD) Biostatistics.

Doctor of Philosophy (PhD) Epidemiology.

Doctor of Philosophy (PhD) Mental Health.

Doctor of Philosophy (PhD) Molecular Microbiology and Immunology.

Doctor of Philosophy (PhD) Population, Family and Reproductive Health.

Doctor of Philosophy (PhD) in Geography and Environmental Engineering.

Doctor of Philosophy (PhD) in Health Policy and Management.

Doctor of Philosophy (PhD) in Social and Behavioral Sciences.

Doctor of Philosophy International Health.

Doctor of Philosophy (PhD) in Global Disease Epidemiology and Control.

Doctor of Philosophy (PhD) in Social and Behavioral Interventions.

Doctor of Medicine and Doctor of Philosophy (MD PhD).

Certificate Programs Start Terms and Application Due Dates.

Food Systems, the Environment and Public Health Certificate Program.

Healthcare Epidemiology and Infection Prevention and Control Certificate Program.

Leadership for Public Health and Healthcare Certificate Program.

Lesbian, Gay, Bisexual, Transgender, and Queer (LGBTQ) Public Health Certificate Program.

Mental Health Policy, Economics and Services Certificate Program.

Public Health Training Certificate for American Indian Health Professionals.

Quality, Patient Safety and Outcomes Research Certificate Program.

Requirements for Successful Completion of a Certificate Program.

Rigor, Reproducibility, and Responsibility in Scientific Practice Certificate Program.

Online Professional Training in Epidemiology for Health Managers.

Mixed Methods Research Training Program for the Health Sciences.

The doctoral program in Epidemiology is anchored in public health and population research and analysis. Students approach research using epidemiologic methods to understand complex human health problems. The PhD requires two years of coursework followed by two (or ) years of research. Students are required to complete a teaching training curriculum and serve as a teaching assistant for methods and topical courses. Additionally, students must complete a written comprehensive exam, a practice oral exam, a preliminary exam, multiple oral and poster presentations, and a final dissertation including presentation and defense.

All of our doctoral students get training in writing papers and proposals through didactic learning and mentoring.

The Department current research tracks in the PhD program include:.

Cancer Epidemiology offers a rich, vibrant and dynamic environment for masters and doctoral students, and postdoctoral fellows to actively participate, learn, explore and conduct cancer-related population-based and clinical research. The track has a long and successful history of training masters and doctoral students and postdoctoral fellows. Past students continue to conduct population-based cancer research and have made successful transitions to positions in academia, government and private sector organizations.

Cardiovascular and Clinical Epidemiology focuses on the use of epidemiologic methods in clinical research and practice as well as interdisciplinary training on the epidemiology of cardiovascular disease. The program integrates knowledge on all aspects of the disease: biology, behavior, treatment, and prevention. Training emphasizes active participation in research and translational epidemiology using a collaborative approach, which is enhanced by the close relationships between the Epidemiology and clinical departments of the Johns Hopkins School of Medicine at the Johns Hopkins Hospital.

Environmental Epidemiology concentrates on the impact of environmental exposures on health and disease states in human populations. This track integrates epidemiological methods, assessment of environmental exposures and understanding of specific disease processes to identify the health consequences of environmental exposures. Environmental Epidemiology provides basic information for risk assessment, risk communication, and environmental health policy decisions and has a central role in identifying, implementing and evaluating strategies for the prevention and control of environmental exposures. Training in Environmental Epidemiology emphasizes active participation in large population research projects, with close collaborations across the School and with national and international collaborators.

Epidemiology of Aging focuses on the determinants of physical and cognitive health, disease, and function in older adults. Offers multidisciplinary training in methods and theories needed for the study of older populations. Strong ties exist with several multi-departmental training grants and programs. This training program also is connected to numerous large research projects.

General Epidemiology and Methodology offers research and training opportunities in almost all areas of chronic disease epidemiology, including cardiovascular diseases, cancer and diseases of childhood and includes advanced methodology training in epidemiologic methods as well as providing individualized or customized training in statistical epidemiology, pharmacoepidemiology and social epidemiology.

Genetic Epidemiology focuses on the study of genetic and environmental factors, and their interaction in disease and normal variation. Emphasis is on understanding the methodology and approach to designing, executing and analyzing genetic studies.

Infectious Disease Epidemiology provides training in the fundamentals of infectious disease epidemiology with an eye toward preparing graduates to work in teaching, research and practice. The program emphasizes principles and methods that can be used to understand the dynamics and control of transmissible diseases by all classes of organisms.

This specific program also requires:.

College-level math through pre-calculus, a biology course, and one additional science course.

Standardized test scores are not required and not reviewed for this program. If you have taken a standardized test such as the GRE, GMAT, or MCAT and want to scores, please note that they will not be used as a metric during the application review. Applications will be reviewed holistically based on all required application components.

All full-time PhD students will receive the following support for the first four years of the program: full tuition, individual health insurance, University Health Services clinic fee, vision insurance, and dental insurance.

Need-Based Relocation GrantsStudents who are admitted to PhD programs at JHUstarting in Fall 2023 or beyond can apply to receive a $1500 need-based grant to offset the costs of relocating to be able to attend JHU.These grants provide funding to a portion of incoming students who, without this money, may otherwise not be able to afford to relocate to JHU for their PhD program. This is not a merit-based grant. Applications will be evaluated solely based on financial need. View information the need-based relocation grants for PhD students.

The Department of Epidemiology at Geisel School of Medicine and Dartmouth College is driven to excel in the discovery of disease etiology and progression. Our faculty rely on rigorously constructed hypothesis-driven clinical trials and population-based research and apply state-of-the-art and novel methods and technologies to advance the field of epidemiology and impact human health and disease.

At our core is a commitment to highly interdisciplinary research programs with a translational emphasis. Our faculty's expertise spans diverse areas in molecular-genetic epidemiology, epigenetics, nutritional and chemoprevention research, cancer etiology, environmental epidemiology, pharmacoepidemiology, women's and children's health, diseases of aging, global health, medical imaging, disease and screening registries, and epidemiologic methods.

The mission of the Epidemiology Concentration is to prepare students for professions aimed at reducing disease burden and disparities through a strong background in epidemiology methods.

Epidemiology Concentration Specific Competencies write an original research paper based on an epidemiologic research question formulated to help fill the gaps in a given substantive area; evaluate the strengths and weaknesses of study designs commonly used in epidemiologic research for answering epidemiologic research questions; use causal diagrams to identify threats to study validity and approaches to minimize such threats;develop and implement the most appropriate analysis plan to analyze data to answer a specific epidemiologic research question; evaluate scientific evidence regarding a specific epidemiologic research question; justify the design and analysis for their own epidemiologic study; write and present the findings and implications of their own epidemiologic study; and select the most appropriate epidemiologic study design that can be used to answer a specific epidemiologic research question.

The Division of Epidemiology is committed to conducting research to enhance and expand our understanding of the distribution and determinants of disease, to promoting collaboration aimed at the translation of research into cost-effective strategies of disease prevention and health care delivery, and to training independent investigators in epidemiology research and disease prevention.

9 additional credits of elective courses with approval from program leadership.

The competencies to be demonstrated at the end of the program expand on the overall MPHS and include:.

The Foundations of Epidemiology course is designed to train students to conduct epidemiologic research of the highest quality. Through a combination of video-conferencing, live lectures and in-class question answer discussion sessions, students will learn evaluate research conducted by others and epidemiologic principles to health-related specialties, including clinical medicine and health services. The course will provide students with an introduction to basic and intermediate epidemiologic methods to build the foundation for further work in epidemiology, either as practicing epidemiologists or as sophisticated users of epidemiologic information.