The MPH in Epidemiology is a 45-credit degree, including a capstone, a practicum, and 10 credits of electives\u00a0to tailor the program to the student’s interests.<\/p>\n\n\n\n
MPH in Epidemiology students complete 35 credits of core courses, including 6 Applied Experience credits.<\/p>\n\n\n
3 Credits<\/p>\n\n\n\n
The purpose of the course is to focus on the design, implementation, and evaluation of effective health communication initiatives tailored to diverse populations and settings. Students will examine how communication influences health knowledge, literacy, attitudes, norms, and behaviors, with an emphasis on equity, ethics, and cultural responsiveness.<\/p>\n<\/div><\/div>\n\n\n\n
2 Credits<\/p>\n\n\n\n
This course will examine sources, routes, media, and health outcomes associated with biological, chemical and physical agents in the environment. It will cover how these agents affect disease, water and air quality, food safety, and land resources in community and occupational settings.<\/p>\n<\/div><\/div>\n\n\n\n
The Community Engagement Seminar will give students the fundamentals of applying community engagement, organization, and development principles to create successful community public health campaigns. Emphasizing nontraditional approaches and partnerships, and the need to readjust traditional strategies, it discusses organization and development methods optimal for public health practice, including public health ethics, faith-based initiatives in community health, community assessment and measurement methods, coalition building, frameworks for developing health policy, and more.<\/p>\n<\/div><\/div>\n\n\n\n
The public health practicum will enable the MPH student to address the MPH competencies including: (1) evidence-based approaches to public health; (2) public health and health care systems; (3) planning and management to promote health; (4) policy in public health; (5) leadership; (6) communications; (7) interprofessional and\/or intersectional practice; and (8) systems thinking. In doing so, students work on projects that focus on:<\/p>\n\n\n\n
The Public Health Practicum will take place off-campus within the DMV area. It is an Unpaid Practicum. It is for variable credit (1-3 credits). There are 60 contact hours for each credit.<\/p>\n<\/div><\/div>\n\n\n\n
The Capstone Project is the culminating experience required for graduation from the MPH Program. Students apply the knowledge and skills learned in class to public health problems in a chosen skillset or area of interest under the guidance of a Capstone Mentor. The projects should be chosen to help students address their academic interests and afford them an opportunity to master advanced public health competencies. The Capstone satisfied the CEPH Integrated Learning Experience requirement of the MPH degree. Please see Appendix B for more details about capstone project expectations.<\/p>\n<\/div><\/div>\n\n\n\n
Epidemiology overview and history; distributions of disease by time, place and person; association and causality; ecological studies; cross-sectional studies and surveys; case-control studies; analysis of case-control studies; types of bias in case-control studies; cohort studies; analysis of cohort studies; bias in cohort studies; population attributable risk; confounding factors; effect modification (interaction); analysis for confounding and interaction; multivariate analysis; sensitivity, specificity and screening; public health practice and prevention; special issues in cancer epidemiology, infectious disease epidemiology and genetic epidemiology. This course includes a discussion session.<\/p>\n<\/div><\/div>\n\n\n\n
This course builds on the epidemiologic concepts introduced in EPID 5001, with a strong emphasis on causal inference and common study designs. We focus on developing your conceptual understanding over quantitative estimation through a solid foundation in the basic epidemiologic and statistical calculations covered in EPID 5001 and EPID 5003.<\/p>\n\n\n\n
By the end of the course, you will be able to grasp causal inference in epidemiologic research, design studies tailored to specific questions with a focus on health equity and recognize common biases, as well as strategies to address them. You will also deepen your knowledge of confounding and effect modification in epidemiologic studies.<\/p>\n\n\n\n
Skills you will develop <\/strong><\/p>\n\n\n\n\nCausal inference<\/li>\n\n\n\nStudy design<\/li>\n\n\n\nBias remediation<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5003 Biostatistics I: Introductory Biostatistics<\/a><\/h3>\n3 Credits<\/p>\n\n\n\nThis course is designed for introductory biostatistical theory and application for students pursuing a master\u2019s degree in fields outside of the Department of Biostatistics, Bioinformatics, and Biomathematics. Students first learn the four pillars of exploring and displaying data appropriately, exploring relationships between two variables, issues of gathering sample data, and understanding randomness and probability. On these pillars, students then can develop the platform for statistical inference including proportions and means, multiple regression, and ANOVA.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5005 Biostatistics II: Applied Biostatistics<\/a><\/h3>\n3 Credits<\/p>\n\n\n\nThis course will deepen your understanding of applied biostatistical theory and its practical application in epidemiology. To take this course, you are expected to have completed EPID 5003 or possess equivalent knowledge. You will explore advanced modeling techniques, including linear models, general linear models, ANOVA and analysis of covariance (ANCOVA), logistic regression, survival analysis and strategies for sample size planning.<\/p>\n\n\n\nSkills you will develop <\/strong><\/p>\n\n\n\n\nAdvanced biostatistical modeling<\/li>\n\n\n\nApplied epidemiological analysis<\/li>\n\n\n\nSample size planning<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5006 Computer Software Lab II<\/a><\/h3>\n1 Credit – Lab<\/p>\n\n\n\nThis advanced course equips you with hands-on experience in statistical software and computational techniques to confidently apply biostatistical methods in epidemiological research.<\/p>\n\n\n\nSkills you will develop <\/strong><\/p>\n\n\n\n\nStatistical software proficiency<\/li>\n\n\n\nComputational methods<\/li>\n\n\n\nBiostatistical application<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5008 Introduction to Cancer Epidemiology<\/a><\/h3>\n1.5 Credits<\/p>\n\n\n\nThis course is a comprehensive overview of cancer’s public health impact on populations. Through a blend of engaging lectures and interactive sessions, you will explore the distribution of cancer types across the U.S. and globally, including disparities shaped by gender, race and ethnicity.<\/p>\n\n\n\nYou will gain insight into data sources and cutting-edge methods for cancer surveillance, diagnosis, treatment and follow-up care, preparing you to contribute to ongoing public health efforts.<\/p>\n\n\n\nSkills you will develop <\/strong><\/p>\n\n\n\n\nCancer epidemiology<\/li>\n\n\n\nData analysis<\/li>\n\n\n\nCancer surveillance<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5009 Introduction to Infectious Disease Epidemiology<\/a><\/h3>\n1.5 Credits<\/p>\n\n\n\nThis course introduces you to the foundational principles of infectious disease epidemiology, emphasizing emerging and re-emerging pathogens, including viruses, bacteria and eukaryotic parasites.<\/p>\n\n\n\nYou will explore how these infections influence medical care and public health, with a special focus on their role in driving and deepening health disparities both locally and globally.<\/p>\n\n\n\nSkills you will develop <\/strong><\/p>\n\n\n\n\nInfectious disease epidemiology<\/li>\n\n\n\nIdentifying pathogens<\/li>\n\n\n\nUnderstanding health disparities <\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5010\/5012 Research Ethics & Professional Development Seminar<\/a><\/h3>\n1 Credit<\/p>\n\n\n\nThis course centers on two key areas:<\/p>\n\n\n\n\nEthics and the responsible conduct of scientific research<\/li>\n\n\n\nA broad exploration of epidemiology topics through the lens of health equity and disparities<\/li>\n<\/ul>\n\n\n\nPast sessions have featured talks on issues such as “Stigma: Global Mental Health,” “AI Tools in Research and Ethical Use,” and “Work, Retirement and Aging.”<\/p>\n\n\n\nSkills you will develop <\/strong><\/p>\n\n\n\n\nResearch conduct<\/li>\n\n\n\nEthics<\/li>\n\n\n\nEpidemiology research<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLOH 5504 Introduction to Quantitative Data Analysis<\/a><\/h3>\n 1 Credit<\/p>\n\n\n\nThis course develops your understanding of what types of quantitative datasets exist in global health, how to access them and how to use them for basic statistical analysis. You’ll learn about dataset structure and how to select variables for analysis of global health questions.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLOH 5520 Health Policy and Systems<\/a><\/h3>\n3 Credits<\/p>\n\n\n\nThis course provides essential skills to formulate health policy, and to understand, analyze, and evaluate health systems in low- and middle-income countries. Weekly meetings provide a forum for discussing and analyzing many important areas, including governance and performance issues for health systems and health programs.<\/p>\n<\/div><\/div>\n\n<\/div>\n\n\nElective Courses<\/h2>\n\n\n\nYou will choose 10 credits of elective courses as part of your MPH degree.<\/p>\n\n\n\n\nJump To:<\/strong> Fall Electives<\/a><\/li>\n\n\n\nSpring Electives<\/a><\/li>\n<\/ul>\n\n\n\nFall Semester Electives<\/h3>\n\n\nExpand All<\/button>\n\n\u00a0<\/span>\u00a0<\/span>MPHE XXXX Public Health Nutrition<\/a><\/h3>\nPublic Health Nutrition is the arm of public health that examines the role of nutrition in population and provides answers that lead to health promotion and disease prevention through the development of policies and environmental changes. This course merges concepts of nutrition and epidemiological research with practical application, including dietary assessment methods, food security, social determinants of health, and policies to address chronic diseases and cancer.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5015 Meta-Analysis-Public Health (3 Credits)<\/a><\/h3>\nMeta-analysis is a statistical tool to combine findings from multiple independent studies. In recent years, it has been increasingly used in many scientific fields. It plays an important role for improving precision of research results and resolving seemingly contradictory research outcomes. This course will introduce meta-analysis methods commonly used in public health and medical research. The course is designed to help students understand the statistical techniques used to conduct quantitative meta-analyses. Students will learn to systematically synthesize evidence from multiple studies, critically assess study heterogeneity and bias, and apply appropriate statistical models for quantitative data pooling. The course covers fixed-effect and random-effects models, forest plots, meta-regression, publication bias, and the use of software tools such as R and SPSS. Emphasis is placed on practical applications and the interpretation of findings.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>ADPP 6040 Social Epidemiology & Addiction (3 Credits)<\/a><\/h3>\nStudents will apply social epidemiologic concepts to addiction, introduced through weekly lectures and readings, and the use of discussions and case studies. This course will prepare students to understand and appreciate the contribution of social factors to addiction etiology, course and the distribution in populations.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>BHTA 6525 Homeland Security (3 Credits)<\/a><\/h3>\nThis course will examine threats to the U.S. homeland and how these threats are defeated in the context of \u201chomeland security.\u201d The course focuses on homeland security policy and planning considerations at all levels of government (federal, state, and local) and the U.S. private sector. We place emphases on understanding the concept of risk management as well as the role of science and technology in homeland security. We will begin most classes with a review of current events before covering the material for the week. Many classes will also have guest speakers who are experts in their fields.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>BSPA 7800 Global Infectious Diseases (2 Credits)<\/a><\/h3>\nThis graduate seminar is a unique combination of presentations by experts in biomedical sciences, policy, and social science that are united by key topics in global infectious diseases. The purpose of this seminar series is to provide a venue for the discussion of interdisciplinary research and development that acknowledges how the world has become a global system for the propagation of infectious disease.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CBTA 6595 Community Resilience (3 Credits)<\/a><\/h3>\nParticular attention will be paid to the role of community-\u00adlevel initiatives aimed at educating graduate students to think critically at how a community can prepare for, cope with, and recover from the adverse social, health and community impacts of disasters through the interrelated domains of prevention, preparedness, response and recovery with the end goal of achieving resilience. Emphasis will also be on identifying federal, state, local, private sector and non-\u00adgovernmental agency plans to enhance community resilience for health security threats and describe options for building community resilience.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CCTP 5005 Introduction to CCT: Interdisciplinary Problems and Methods (3 Credits)<\/a><\/h3>\nThis course introduces students to interdisciplinary and graduate studies in the Communication, Culture & Technology program. This class aims at helping students to develop an expertise so they can contribute to an intellectual community. At the same time the course will equip students with an academic and professional problem-solving framework. Students will explore interdisciplinarity in communications, cultural, media, and technology studies by taking the initial steps to identify the communities to which they want to matter, to determine what foundations\/ assumptions\/ viewpoints exist in said community, and to figure out how to contribute knowledge to the ongoing conversation. Central to these endeavors are keywords like truth, trust, facts, knowledge and power \u2013 all concepts that are hard to pin down these days and as such we will explore their scope and how they are interconnected. A core question of this course is then: how do you (or anyone else) know what you know and how can you trust this what you know?<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CLTR 6504 Project Development in Clinical Research (1 Credit)<\/a><\/h3>\nThis interactive course focuses on applying knowledge experimental design, biostatistics, and research ethics to trainee specific proposal. We will use, as examples, obesity\/metabolic syndrome; age-related neurocognitive impairment; asthma. Students will work in groups to identify a researchable question and study hypothesis, and consider alternative approaches to study design, participant recruitment, and data collection. This is an online course that requires meetings in addition to lecture time. All non-CLTR students must request instructor\/dept. approval. The Registration Team will be able to help with the “add\/drop”. Section information text: This is an online course that requires meetings in addition to lecture time. All non-CLTR students must request instructor\/dept. approval.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5010 Epidemiology of Infectious Disease (3 Credits)<\/a><\/h3>\nThis course covers the basics of epidemiology and biostatistics with an emphasis on infectious disease methods (e.g., surveillance, outbreak investigation) and substance (e.g., transmission risks and dynamics) compared to standard epidemiology courses. Covers fundamentals of descriptive epidemiology, surveillance systems, and disease dynamics. Some minimal coverage of research design and analytical epidemiology.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5020 Evidence for Infectious Disease Policy (3 Credits)<\/a><\/h3>\nThis course will build students’ ability to identify and evaluate evidence related to infectious disease, and to learn to translate evidence into recommendations for policy. Both qualitative and quantitative evidence will be covered. The course will in particular explore how quantitative evidence can drive decision making for infectious disease problems. Students will learn how to evaluate model-based or other quantitative findings for public health policy.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5011 Research Methods and Ethics (2 Credits)<\/a><\/h3>\nThis course is designed as a workshop experience which will meet over two Saturdays. It is designed to allow students to deeply explore an academic topic, problem, issue, or idea of individual interest related to global health. Students will learn and practice the design, plan the implementation of an investigation to address a research question that they will choose. Specific topics will include research methodology, employing ethical research practices, and accessing, analyzing, and synthesizing information. Students will reflect and document their processes, and collect their scholarly work in a portfolio that will contain the research question, literature review, proposed methodology and plan.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5522 Modeling Populations & Diseases (3 Credits)<\/a><\/h3>\nPopulation biology is a quantitative science dealing with changes in the size and composition of populations, and population biologists often use mathematical models to infer population dynamics. These models use information about the properties of individuals and basic assumptions about their interactions to predict population size, gene frequency, and optimal behavioral strategies of individuals, forming an important conceptual framework. Junior and Seniors only. This course shows what kinds of insight mathematical techniques can give to about biological populations of individuals, communities, and cells. My expectation is that all of you have had a good foundation in biology and some mathematics, but you won\u2019t be expected to remember every detail. You will see a good deal of mathematics and biology in this course, and we won\u2019t be assuming a great deal of prior knowledge. However, you will be expected to grasp new knowledge conceptually and demonstrate knowledge through in-class computer lab exercises, homework assignments and projects.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 7800 Disease Research Methods (2 Credits)<\/a><\/h3>\nThis graduate-level research methods course will train students in a wide range of qualitative and quantitative methodological and analytical approaches necessary for careers in global health and infectious disease policy, research, and practice.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>HSEY 6003 Health Economics (2 Credits)<\/a><\/h3>\nThis course uses the principles of economics to study the allocation of resources used to provide health and long-term care. Market inadequacies and market failures that have affected the financing, organization, and delivery of care are examined. The impact of private and public insurance programs on the organization and delivery of health care are analyzed, and the relationships between politics, policies, and health care markets are explored. Basic economics principles are taught and applied to the study of health care.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>HESY 6008 Population Health & Data Visualization (2 Credits)<\/a><\/h3>\nAs value-based models incentive efforts to reduce costs, improve the patient experience, and advance the health of populations, widespread efforts are underway to make real-time data available for analytics \u2013 leading to more informed decision-making and resource allocation. To facilitate these efforts, organizations are employing data visualization platforms (e.g. Tableau, Power BI) for operational and population health surveillance. Through a series of big data simulation exercises, this course will allow students to create, interpret, analyze, and critique data visualization methodologies for improved organizational performance and population health advancement.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>PPOL 6501 Health Policy, Politics and Law (3 Credits)<\/a><\/h3>\nThis course will explore how politics has shared our public-private mix of financing arrangements \u2013 with significant consequences for access and costs; how politics in the Congress and the courts together pose significant hurdles to reforming health financing that will assure access to affordable quality care.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>SYSM 5910 Biomedical Informatics (3 Credits)<\/a><\/h3>\nThis didactic course will provide an overview of the field of Biomedical Informatics from different perspectives. This course will provide an overview of biology and medicine relevant to healthcare from an informatics perspective. This course focuses on utilizing data to solve relevant health and informatic problems that the healthcare system is facing. Emphasis is given to understanding the basic building blocks, various information resources and the application areas of Biomedical Informatics. Students will learn to explore the process of developing and applying computational techniques for determining the information needs of healthcare providers and patients. This class uses lectures, flipped classroom approaches where needed as well as student led discussions. Relevant topics include Electronic Health Records, Patient Quality Assessment and Improvements, Evidence Based Medicine, Natural Language Processing, Consumer and Public Health Informatics.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>TBIO 6525 Cancer Genetics (3 Credits)<\/a><\/h3>\nThis course introduces the fundamentals of the molecular genetics and molecular cytogenetics of cancer. In addition, it covers diagnostic, clinical, and population-based aspects of this rapidly advancing field.<\/p>\n<\/div><\/div>\n\n<\/div>\n\n\nSpring Semester Electives<\/h3>\n\n\nExpand All<\/button>\n\n\u00a0<\/span>\u00a0<\/span>ADPP 6040 Social Epidemiology & Addiction<\/a><\/h3>\nStudents will apply social epidemiologic concepts to addiction, introduced through weekly lectures and readings, and the use of discussions and case studies. This course will prepare students to understand and appreciate the contribution of social factors to addiction etiology, course and the distribution in populations.<\/p>\n<\/div><\/div>\n\n\n\n
This course is designed for introductory biostatistical theory and application for students pursuing a master\u2019s degree in fields outside of the Department of Biostatistics, Bioinformatics, and Biomathematics. Students first learn the four pillars of exploring and displaying data appropriately, exploring relationships between two variables, issues of gathering sample data, and understanding randomness and probability. On these pillars, students then can develop the platform for statistical inference including proportions and means, multiple regression, and ANOVA.<\/p>\n<\/div><\/div>\n\n\n\n
This course will deepen your understanding of applied biostatistical theory and its practical application in epidemiology. To take this course, you are expected to have completed EPID 5003 or possess equivalent knowledge. You will explore advanced modeling techniques, including linear models, general linear models, ANOVA and analysis of covariance (ANCOVA), logistic regression, survival analysis and strategies for sample size planning.<\/p>\n\n\n\n
Skills you will develop <\/strong><\/p>\n\n\n\n\nAdvanced biostatistical modeling<\/li>\n\n\n\nApplied epidemiological analysis<\/li>\n\n\n\nSample size planning<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5006 Computer Software Lab II<\/a><\/h3>\n1 Credit – Lab<\/p>\n\n\n\nThis advanced course equips you with hands-on experience in statistical software and computational techniques to confidently apply biostatistical methods in epidemiological research.<\/p>\n\n\n\nSkills you will develop <\/strong><\/p>\n\n\n\n\nStatistical software proficiency<\/li>\n\n\n\nComputational methods<\/li>\n\n\n\nBiostatistical application<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5008 Introduction to Cancer Epidemiology<\/a><\/h3>\n1.5 Credits<\/p>\n\n\n\nThis course is a comprehensive overview of cancer’s public health impact on populations. Through a blend of engaging lectures and interactive sessions, you will explore the distribution of cancer types across the U.S. and globally, including disparities shaped by gender, race and ethnicity.<\/p>\n\n\n\nYou will gain insight into data sources and cutting-edge methods for cancer surveillance, diagnosis, treatment and follow-up care, preparing you to contribute to ongoing public health efforts.<\/p>\n\n\n\nSkills you will develop <\/strong><\/p>\n\n\n\n\nCancer epidemiology<\/li>\n\n\n\nData analysis<\/li>\n\n\n\nCancer surveillance<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5009 Introduction to Infectious Disease Epidemiology<\/a><\/h3>\n1.5 Credits<\/p>\n\n\n\nThis course introduces you to the foundational principles of infectious disease epidemiology, emphasizing emerging and re-emerging pathogens, including viruses, bacteria and eukaryotic parasites.<\/p>\n\n\n\nYou will explore how these infections influence medical care and public health, with a special focus on their role in driving and deepening health disparities both locally and globally.<\/p>\n\n\n\nSkills you will develop <\/strong><\/p>\n\n\n\n\nInfectious disease epidemiology<\/li>\n\n\n\nIdentifying pathogens<\/li>\n\n\n\nUnderstanding health disparities <\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5010\/5012 Research Ethics & Professional Development Seminar<\/a><\/h3>\n1 Credit<\/p>\n\n\n\nThis course centers on two key areas:<\/p>\n\n\n\n\nEthics and the responsible conduct of scientific research<\/li>\n\n\n\nA broad exploration of epidemiology topics through the lens of health equity and disparities<\/li>\n<\/ul>\n\n\n\nPast sessions have featured talks on issues such as “Stigma: Global Mental Health,” “AI Tools in Research and Ethical Use,” and “Work, Retirement and Aging.”<\/p>\n\n\n\nSkills you will develop <\/strong><\/p>\n\n\n\n\nResearch conduct<\/li>\n\n\n\nEthics<\/li>\n\n\n\nEpidemiology research<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLOH 5504 Introduction to Quantitative Data Analysis<\/a><\/h3>\n 1 Credit<\/p>\n\n\n\nThis course develops your understanding of what types of quantitative datasets exist in global health, how to access them and how to use them for basic statistical analysis. You’ll learn about dataset structure and how to select variables for analysis of global health questions.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLOH 5520 Health Policy and Systems<\/a><\/h3>\n3 Credits<\/p>\n\n\n\nThis course provides essential skills to formulate health policy, and to understand, analyze, and evaluate health systems in low- and middle-income countries. Weekly meetings provide a forum for discussing and analyzing many important areas, including governance and performance issues for health systems and health programs.<\/p>\n<\/div><\/div>\n\n<\/div>\n\n\nElective Courses<\/h2>\n\n\n\nYou will choose 10 credits of elective courses as part of your MPH degree.<\/p>\n\n\n\n\nJump To:<\/strong> Fall Electives<\/a><\/li>\n\n\n\nSpring Electives<\/a><\/li>\n<\/ul>\n\n\n\nFall Semester Electives<\/h3>\n\n\nExpand All<\/button>\n\n\u00a0<\/span>\u00a0<\/span>MPHE XXXX Public Health Nutrition<\/a><\/h3>\nPublic Health Nutrition is the arm of public health that examines the role of nutrition in population and provides answers that lead to health promotion and disease prevention through the development of policies and environmental changes. This course merges concepts of nutrition and epidemiological research with practical application, including dietary assessment methods, food security, social determinants of health, and policies to address chronic diseases and cancer.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5015 Meta-Analysis-Public Health (3 Credits)<\/a><\/h3>\nMeta-analysis is a statistical tool to combine findings from multiple independent studies. In recent years, it has been increasingly used in many scientific fields. It plays an important role for improving precision of research results and resolving seemingly contradictory research outcomes. This course will introduce meta-analysis methods commonly used in public health and medical research. The course is designed to help students understand the statistical techniques used to conduct quantitative meta-analyses. Students will learn to systematically synthesize evidence from multiple studies, critically assess study heterogeneity and bias, and apply appropriate statistical models for quantitative data pooling. The course covers fixed-effect and random-effects models, forest plots, meta-regression, publication bias, and the use of software tools such as R and SPSS. Emphasis is placed on practical applications and the interpretation of findings.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>ADPP 6040 Social Epidemiology & Addiction (3 Credits)<\/a><\/h3>\nStudents will apply social epidemiologic concepts to addiction, introduced through weekly lectures and readings, and the use of discussions and case studies. This course will prepare students to understand and appreciate the contribution of social factors to addiction etiology, course and the distribution in populations.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>BHTA 6525 Homeland Security (3 Credits)<\/a><\/h3>\nThis course will examine threats to the U.S. homeland and how these threats are defeated in the context of \u201chomeland security.\u201d The course focuses on homeland security policy and planning considerations at all levels of government (federal, state, and local) and the U.S. private sector. We place emphases on understanding the concept of risk management as well as the role of science and technology in homeland security. We will begin most classes with a review of current events before covering the material for the week. Many classes will also have guest speakers who are experts in their fields.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>BSPA 7800 Global Infectious Diseases (2 Credits)<\/a><\/h3>\nThis graduate seminar is a unique combination of presentations by experts in biomedical sciences, policy, and social science that are united by key topics in global infectious diseases. The purpose of this seminar series is to provide a venue for the discussion of interdisciplinary research and development that acknowledges how the world has become a global system for the propagation of infectious disease.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CBTA 6595 Community Resilience (3 Credits)<\/a><\/h3>\nParticular attention will be paid to the role of community-\u00adlevel initiatives aimed at educating graduate students to think critically at how a community can prepare for, cope with, and recover from the adverse social, health and community impacts of disasters through the interrelated domains of prevention, preparedness, response and recovery with the end goal of achieving resilience. Emphasis will also be on identifying federal, state, local, private sector and non-\u00adgovernmental agency plans to enhance community resilience for health security threats and describe options for building community resilience.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CCTP 5005 Introduction to CCT: Interdisciplinary Problems and Methods (3 Credits)<\/a><\/h3>\nThis course introduces students to interdisciplinary and graduate studies in the Communication, Culture & Technology program. This class aims at helping students to develop an expertise so they can contribute to an intellectual community. At the same time the course will equip students with an academic and professional problem-solving framework. Students will explore interdisciplinarity in communications, cultural, media, and technology studies by taking the initial steps to identify the communities to which they want to matter, to determine what foundations\/ assumptions\/ viewpoints exist in said community, and to figure out how to contribute knowledge to the ongoing conversation. Central to these endeavors are keywords like truth, trust, facts, knowledge and power \u2013 all concepts that are hard to pin down these days and as such we will explore their scope and how they are interconnected. A core question of this course is then: how do you (or anyone else) know what you know and how can you trust this what you know?<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CLTR 6504 Project Development in Clinical Research (1 Credit)<\/a><\/h3>\nThis interactive course focuses on applying knowledge experimental design, biostatistics, and research ethics to trainee specific proposal. We will use, as examples, obesity\/metabolic syndrome; age-related neurocognitive impairment; asthma. Students will work in groups to identify a researchable question and study hypothesis, and consider alternative approaches to study design, participant recruitment, and data collection. This is an online course that requires meetings in addition to lecture time. All non-CLTR students must request instructor\/dept. approval. The Registration Team will be able to help with the “add\/drop”. Section information text: This is an online course that requires meetings in addition to lecture time. All non-CLTR students must request instructor\/dept. approval.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5010 Epidemiology of Infectious Disease (3 Credits)<\/a><\/h3>\nThis course covers the basics of epidemiology and biostatistics with an emphasis on infectious disease methods (e.g., surveillance, outbreak investigation) and substance (e.g., transmission risks and dynamics) compared to standard epidemiology courses. Covers fundamentals of descriptive epidemiology, surveillance systems, and disease dynamics. Some minimal coverage of research design and analytical epidemiology.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5020 Evidence for Infectious Disease Policy (3 Credits)<\/a><\/h3>\nThis course will build students’ ability to identify and evaluate evidence related to infectious disease, and to learn to translate evidence into recommendations for policy. Both qualitative and quantitative evidence will be covered. The course will in particular explore how quantitative evidence can drive decision making for infectious disease problems. Students will learn how to evaluate model-based or other quantitative findings for public health policy.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5011 Research Methods and Ethics (2 Credits)<\/a><\/h3>\nThis course is designed as a workshop experience which will meet over two Saturdays. It is designed to allow students to deeply explore an academic topic, problem, issue, or idea of individual interest related to global health. Students will learn and practice the design, plan the implementation of an investigation to address a research question that they will choose. Specific topics will include research methodology, employing ethical research practices, and accessing, analyzing, and synthesizing information. Students will reflect and document their processes, and collect their scholarly work in a portfolio that will contain the research question, literature review, proposed methodology and plan.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5522 Modeling Populations & Diseases (3 Credits)<\/a><\/h3>\nPopulation biology is a quantitative science dealing with changes in the size and composition of populations, and population biologists often use mathematical models to infer population dynamics. These models use information about the properties of individuals and basic assumptions about their interactions to predict population size, gene frequency, and optimal behavioral strategies of individuals, forming an important conceptual framework. Junior and Seniors only. This course shows what kinds of insight mathematical techniques can give to about biological populations of individuals, communities, and cells. My expectation is that all of you have had a good foundation in biology and some mathematics, but you won\u2019t be expected to remember every detail. You will see a good deal of mathematics and biology in this course, and we won\u2019t be assuming a great deal of prior knowledge. However, you will be expected to grasp new knowledge conceptually and demonstrate knowledge through in-class computer lab exercises, homework assignments and projects.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 7800 Disease Research Methods (2 Credits)<\/a><\/h3>\nThis graduate-level research methods course will train students in a wide range of qualitative and quantitative methodological and analytical approaches necessary for careers in global health and infectious disease policy, research, and practice.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>HSEY 6003 Health Economics (2 Credits)<\/a><\/h3>\nThis course uses the principles of economics to study the allocation of resources used to provide health and long-term care. Market inadequacies and market failures that have affected the financing, organization, and delivery of care are examined. The impact of private and public insurance programs on the organization and delivery of health care are analyzed, and the relationships between politics, policies, and health care markets are explored. Basic economics principles are taught and applied to the study of health care.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>HESY 6008 Population Health & Data Visualization (2 Credits)<\/a><\/h3>\nAs value-based models incentive efforts to reduce costs, improve the patient experience, and advance the health of populations, widespread efforts are underway to make real-time data available for analytics \u2013 leading to more informed decision-making and resource allocation. To facilitate these efforts, organizations are employing data visualization platforms (e.g. Tableau, Power BI) for operational and population health surveillance. Through a series of big data simulation exercises, this course will allow students to create, interpret, analyze, and critique data visualization methodologies for improved organizational performance and population health advancement.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>PPOL 6501 Health Policy, Politics and Law (3 Credits)<\/a><\/h3>\nThis course will explore how politics has shared our public-private mix of financing arrangements \u2013 with significant consequences for access and costs; how politics in the Congress and the courts together pose significant hurdles to reforming health financing that will assure access to affordable quality care.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>SYSM 5910 Biomedical Informatics (3 Credits)<\/a><\/h3>\nThis didactic course will provide an overview of the field of Biomedical Informatics from different perspectives. This course will provide an overview of biology and medicine relevant to healthcare from an informatics perspective. This course focuses on utilizing data to solve relevant health and informatic problems that the healthcare system is facing. Emphasis is given to understanding the basic building blocks, various information resources and the application areas of Biomedical Informatics. Students will learn to explore the process of developing and applying computational techniques for determining the information needs of healthcare providers and patients. This class uses lectures, flipped classroom approaches where needed as well as student led discussions. Relevant topics include Electronic Health Records, Patient Quality Assessment and Improvements, Evidence Based Medicine, Natural Language Processing, Consumer and Public Health Informatics.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>TBIO 6525 Cancer Genetics (3 Credits)<\/a><\/h3>\nThis course introduces the fundamentals of the molecular genetics and molecular cytogenetics of cancer. In addition, it covers diagnostic, clinical, and population-based aspects of this rapidly advancing field.<\/p>\n<\/div><\/div>\n\n<\/div>\n\n\nSpring Semester Electives<\/h3>\n\n\nExpand All<\/button>\n\n\u00a0<\/span>\u00a0<\/span>ADPP 6040 Social Epidemiology & Addiction<\/a><\/h3>\nStudents will apply social epidemiologic concepts to addiction, introduced through weekly lectures and readings, and the use of discussions and case studies. This course will prepare students to understand and appreciate the contribution of social factors to addiction etiology, course and the distribution in populations.<\/p>\n<\/div><\/div>\n\n\n\n
1 Credit – Lab<\/p>\n\n\n\n
This advanced course equips you with hands-on experience in statistical software and computational techniques to confidently apply biostatistical methods in epidemiological research.<\/p>\n\n\n\n
Skills you will develop <\/strong><\/p>\n\n\n\n\nStatistical software proficiency<\/li>\n\n\n\nComputational methods<\/li>\n\n\n\nBiostatistical application<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5008 Introduction to Cancer Epidemiology<\/a><\/h3>\n1.5 Credits<\/p>\n\n\n\nThis course is a comprehensive overview of cancer’s public health impact on populations. Through a blend of engaging lectures and interactive sessions, you will explore the distribution of cancer types across the U.S. and globally, including disparities shaped by gender, race and ethnicity.<\/p>\n\n\n\nYou will gain insight into data sources and cutting-edge methods for cancer surveillance, diagnosis, treatment and follow-up care, preparing you to contribute to ongoing public health efforts.<\/p>\n\n\n\nSkills you will develop <\/strong><\/p>\n\n\n\n\nCancer epidemiology<\/li>\n\n\n\nData analysis<\/li>\n\n\n\nCancer surveillance<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5009 Introduction to Infectious Disease Epidemiology<\/a><\/h3>\n1.5 Credits<\/p>\n\n\n\nThis course introduces you to the foundational principles of infectious disease epidemiology, emphasizing emerging and re-emerging pathogens, including viruses, bacteria and eukaryotic parasites.<\/p>\n\n\n\nYou will explore how these infections influence medical care and public health, with a special focus on their role in driving and deepening health disparities both locally and globally.<\/p>\n\n\n\nSkills you will develop <\/strong><\/p>\n\n\n\n\nInfectious disease epidemiology<\/li>\n\n\n\nIdentifying pathogens<\/li>\n\n\n\nUnderstanding health disparities <\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5010\/5012 Research Ethics & Professional Development Seminar<\/a><\/h3>\n1 Credit<\/p>\n\n\n\nThis course centers on two key areas:<\/p>\n\n\n\n\nEthics and the responsible conduct of scientific research<\/li>\n\n\n\nA broad exploration of epidemiology topics through the lens of health equity and disparities<\/li>\n<\/ul>\n\n\n\nPast sessions have featured talks on issues such as “Stigma: Global Mental Health,” “AI Tools in Research and Ethical Use,” and “Work, Retirement and Aging.”<\/p>\n\n\n\nSkills you will develop <\/strong><\/p>\n\n\n\n\nResearch conduct<\/li>\n\n\n\nEthics<\/li>\n\n\n\nEpidemiology research<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLOH 5504 Introduction to Quantitative Data Analysis<\/a><\/h3>\n 1 Credit<\/p>\n\n\n\nThis course develops your understanding of what types of quantitative datasets exist in global health, how to access them and how to use them for basic statistical analysis. You’ll learn about dataset structure and how to select variables for analysis of global health questions.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLOH 5520 Health Policy and Systems<\/a><\/h3>\n3 Credits<\/p>\n\n\n\nThis course provides essential skills to formulate health policy, and to understand, analyze, and evaluate health systems in low- and middle-income countries. Weekly meetings provide a forum for discussing and analyzing many important areas, including governance and performance issues for health systems and health programs.<\/p>\n<\/div><\/div>\n\n<\/div>\n\n\nElective Courses<\/h2>\n\n\n\nYou will choose 10 credits of elective courses as part of your MPH degree.<\/p>\n\n\n\n\nJump To:<\/strong> Fall Electives<\/a><\/li>\n\n\n\nSpring Electives<\/a><\/li>\n<\/ul>\n\n\n\nFall Semester Electives<\/h3>\n\n\nExpand All<\/button>\n\n\u00a0<\/span>\u00a0<\/span>MPHE XXXX Public Health Nutrition<\/a><\/h3>\nPublic Health Nutrition is the arm of public health that examines the role of nutrition in population and provides answers that lead to health promotion and disease prevention through the development of policies and environmental changes. This course merges concepts of nutrition and epidemiological research with practical application, including dietary assessment methods, food security, social determinants of health, and policies to address chronic diseases and cancer.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5015 Meta-Analysis-Public Health (3 Credits)<\/a><\/h3>\nMeta-analysis is a statistical tool to combine findings from multiple independent studies. In recent years, it has been increasingly used in many scientific fields. It plays an important role for improving precision of research results and resolving seemingly contradictory research outcomes. This course will introduce meta-analysis methods commonly used in public health and medical research. The course is designed to help students understand the statistical techniques used to conduct quantitative meta-analyses. Students will learn to systematically synthesize evidence from multiple studies, critically assess study heterogeneity and bias, and apply appropriate statistical models for quantitative data pooling. The course covers fixed-effect and random-effects models, forest plots, meta-regression, publication bias, and the use of software tools such as R and SPSS. Emphasis is placed on practical applications and the interpretation of findings.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>ADPP 6040 Social Epidemiology & Addiction (3 Credits)<\/a><\/h3>\nStudents will apply social epidemiologic concepts to addiction, introduced through weekly lectures and readings, and the use of discussions and case studies. This course will prepare students to understand and appreciate the contribution of social factors to addiction etiology, course and the distribution in populations.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>BHTA 6525 Homeland Security (3 Credits)<\/a><\/h3>\nThis course will examine threats to the U.S. homeland and how these threats are defeated in the context of \u201chomeland security.\u201d The course focuses on homeland security policy and planning considerations at all levels of government (federal, state, and local) and the U.S. private sector. We place emphases on understanding the concept of risk management as well as the role of science and technology in homeland security. We will begin most classes with a review of current events before covering the material for the week. Many classes will also have guest speakers who are experts in their fields.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>BSPA 7800 Global Infectious Diseases (2 Credits)<\/a><\/h3>\nThis graduate seminar is a unique combination of presentations by experts in biomedical sciences, policy, and social science that are united by key topics in global infectious diseases. The purpose of this seminar series is to provide a venue for the discussion of interdisciplinary research and development that acknowledges how the world has become a global system for the propagation of infectious disease.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CBTA 6595 Community Resilience (3 Credits)<\/a><\/h3>\nParticular attention will be paid to the role of community-\u00adlevel initiatives aimed at educating graduate students to think critically at how a community can prepare for, cope with, and recover from the adverse social, health and community impacts of disasters through the interrelated domains of prevention, preparedness, response and recovery with the end goal of achieving resilience. Emphasis will also be on identifying federal, state, local, private sector and non-\u00adgovernmental agency plans to enhance community resilience for health security threats and describe options for building community resilience.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CCTP 5005 Introduction to CCT: Interdisciplinary Problems and Methods (3 Credits)<\/a><\/h3>\nThis course introduces students to interdisciplinary and graduate studies in the Communication, Culture & Technology program. This class aims at helping students to develop an expertise so they can contribute to an intellectual community. At the same time the course will equip students with an academic and professional problem-solving framework. Students will explore interdisciplinarity in communications, cultural, media, and technology studies by taking the initial steps to identify the communities to which they want to matter, to determine what foundations\/ assumptions\/ viewpoints exist in said community, and to figure out how to contribute knowledge to the ongoing conversation. Central to these endeavors are keywords like truth, trust, facts, knowledge and power \u2013 all concepts that are hard to pin down these days and as such we will explore their scope and how they are interconnected. A core question of this course is then: how do you (or anyone else) know what you know and how can you trust this what you know?<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CLTR 6504 Project Development in Clinical Research (1 Credit)<\/a><\/h3>\nThis interactive course focuses on applying knowledge experimental design, biostatistics, and research ethics to trainee specific proposal. We will use, as examples, obesity\/metabolic syndrome; age-related neurocognitive impairment; asthma. Students will work in groups to identify a researchable question and study hypothesis, and consider alternative approaches to study design, participant recruitment, and data collection. This is an online course that requires meetings in addition to lecture time. All non-CLTR students must request instructor\/dept. approval. The Registration Team will be able to help with the “add\/drop”. Section information text: This is an online course that requires meetings in addition to lecture time. All non-CLTR students must request instructor\/dept. approval.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5010 Epidemiology of Infectious Disease (3 Credits)<\/a><\/h3>\nThis course covers the basics of epidemiology and biostatistics with an emphasis on infectious disease methods (e.g., surveillance, outbreak investigation) and substance (e.g., transmission risks and dynamics) compared to standard epidemiology courses. Covers fundamentals of descriptive epidemiology, surveillance systems, and disease dynamics. Some minimal coverage of research design and analytical epidemiology.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5020 Evidence for Infectious Disease Policy (3 Credits)<\/a><\/h3>\nThis course will build students’ ability to identify and evaluate evidence related to infectious disease, and to learn to translate evidence into recommendations for policy. Both qualitative and quantitative evidence will be covered. The course will in particular explore how quantitative evidence can drive decision making for infectious disease problems. Students will learn how to evaluate model-based or other quantitative findings for public health policy.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5011 Research Methods and Ethics (2 Credits)<\/a><\/h3>\nThis course is designed as a workshop experience which will meet over two Saturdays. It is designed to allow students to deeply explore an academic topic, problem, issue, or idea of individual interest related to global health. Students will learn and practice the design, plan the implementation of an investigation to address a research question that they will choose. Specific topics will include research methodology, employing ethical research practices, and accessing, analyzing, and synthesizing information. Students will reflect and document their processes, and collect their scholarly work in a portfolio that will contain the research question, literature review, proposed methodology and plan.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5522 Modeling Populations & Diseases (3 Credits)<\/a><\/h3>\nPopulation biology is a quantitative science dealing with changes in the size and composition of populations, and population biologists often use mathematical models to infer population dynamics. These models use information about the properties of individuals and basic assumptions about their interactions to predict population size, gene frequency, and optimal behavioral strategies of individuals, forming an important conceptual framework. Junior and Seniors only. This course shows what kinds of insight mathematical techniques can give to about biological populations of individuals, communities, and cells. My expectation is that all of you have had a good foundation in biology and some mathematics, but you won\u2019t be expected to remember every detail. You will see a good deal of mathematics and biology in this course, and we won\u2019t be assuming a great deal of prior knowledge. However, you will be expected to grasp new knowledge conceptually and demonstrate knowledge through in-class computer lab exercises, homework assignments and projects.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 7800 Disease Research Methods (2 Credits)<\/a><\/h3>\nThis graduate-level research methods course will train students in a wide range of qualitative and quantitative methodological and analytical approaches necessary for careers in global health and infectious disease policy, research, and practice.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>HSEY 6003 Health Economics (2 Credits)<\/a><\/h3>\nThis course uses the principles of economics to study the allocation of resources used to provide health and long-term care. Market inadequacies and market failures that have affected the financing, organization, and delivery of care are examined. The impact of private and public insurance programs on the organization and delivery of health care are analyzed, and the relationships between politics, policies, and health care markets are explored. Basic economics principles are taught and applied to the study of health care.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>HESY 6008 Population Health & Data Visualization (2 Credits)<\/a><\/h3>\nAs value-based models incentive efforts to reduce costs, improve the patient experience, and advance the health of populations, widespread efforts are underway to make real-time data available for analytics \u2013 leading to more informed decision-making and resource allocation. To facilitate these efforts, organizations are employing data visualization platforms (e.g. Tableau, Power BI) for operational and population health surveillance. Through a series of big data simulation exercises, this course will allow students to create, interpret, analyze, and critique data visualization methodologies for improved organizational performance and population health advancement.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>PPOL 6501 Health Policy, Politics and Law (3 Credits)<\/a><\/h3>\nThis course will explore how politics has shared our public-private mix of financing arrangements \u2013 with significant consequences for access and costs; how politics in the Congress and the courts together pose significant hurdles to reforming health financing that will assure access to affordable quality care.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>SYSM 5910 Biomedical Informatics (3 Credits)<\/a><\/h3>\nThis didactic course will provide an overview of the field of Biomedical Informatics from different perspectives. This course will provide an overview of biology and medicine relevant to healthcare from an informatics perspective. This course focuses on utilizing data to solve relevant health and informatic problems that the healthcare system is facing. Emphasis is given to understanding the basic building blocks, various information resources and the application areas of Biomedical Informatics. Students will learn to explore the process of developing and applying computational techniques for determining the information needs of healthcare providers and patients. This class uses lectures, flipped classroom approaches where needed as well as student led discussions. Relevant topics include Electronic Health Records, Patient Quality Assessment and Improvements, Evidence Based Medicine, Natural Language Processing, Consumer and Public Health Informatics.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>TBIO 6525 Cancer Genetics (3 Credits)<\/a><\/h3>\nThis course introduces the fundamentals of the molecular genetics and molecular cytogenetics of cancer. In addition, it covers diagnostic, clinical, and population-based aspects of this rapidly advancing field.<\/p>\n<\/div><\/div>\n\n<\/div>\n\n\nSpring Semester Electives<\/h3>\n\n\nExpand All<\/button>\n\n\u00a0<\/span>\u00a0<\/span>ADPP 6040 Social Epidemiology & Addiction<\/a><\/h3>\nStudents will apply social epidemiologic concepts to addiction, introduced through weekly lectures and readings, and the use of discussions and case studies. This course will prepare students to understand and appreciate the contribution of social factors to addiction etiology, course and the distribution in populations.<\/p>\n<\/div><\/div>\n\n\n\n
1.5 Credits<\/p>\n\n\n\n
This course is a comprehensive overview of cancer’s public health impact on populations. Through a blend of engaging lectures and interactive sessions, you will explore the distribution of cancer types across the U.S. and globally, including disparities shaped by gender, race and ethnicity.<\/p>\n\n\n\n
You will gain insight into data sources and cutting-edge methods for cancer surveillance, diagnosis, treatment and follow-up care, preparing you to contribute to ongoing public health efforts.<\/p>\n\n\n\n
Skills you will develop <\/strong><\/p>\n\n\n\n\nCancer epidemiology<\/li>\n\n\n\nData analysis<\/li>\n\n\n\nCancer surveillance<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5009 Introduction to Infectious Disease Epidemiology<\/a><\/h3>\n1.5 Credits<\/p>\n\n\n\nThis course introduces you to the foundational principles of infectious disease epidemiology, emphasizing emerging and re-emerging pathogens, including viruses, bacteria and eukaryotic parasites.<\/p>\n\n\n\nYou will explore how these infections influence medical care and public health, with a special focus on their role in driving and deepening health disparities both locally and globally.<\/p>\n\n\n\nSkills you will develop <\/strong><\/p>\n\n\n\n\nInfectious disease epidemiology<\/li>\n\n\n\nIdentifying pathogens<\/li>\n\n\n\nUnderstanding health disparities <\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5010\/5012 Research Ethics & Professional Development Seminar<\/a><\/h3>\n1 Credit<\/p>\n\n\n\nThis course centers on two key areas:<\/p>\n\n\n\n\nEthics and the responsible conduct of scientific research<\/li>\n\n\n\nA broad exploration of epidemiology topics through the lens of health equity and disparities<\/li>\n<\/ul>\n\n\n\nPast sessions have featured talks on issues such as “Stigma: Global Mental Health,” “AI Tools in Research and Ethical Use,” and “Work, Retirement and Aging.”<\/p>\n\n\n\nSkills you will develop <\/strong><\/p>\n\n\n\n\nResearch conduct<\/li>\n\n\n\nEthics<\/li>\n\n\n\nEpidemiology research<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLOH 5504 Introduction to Quantitative Data Analysis<\/a><\/h3>\n 1 Credit<\/p>\n\n\n\nThis course develops your understanding of what types of quantitative datasets exist in global health, how to access them and how to use them for basic statistical analysis. You’ll learn about dataset structure and how to select variables for analysis of global health questions.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLOH 5520 Health Policy and Systems<\/a><\/h3>\n3 Credits<\/p>\n\n\n\nThis course provides essential skills to formulate health policy, and to understand, analyze, and evaluate health systems in low- and middle-income countries. Weekly meetings provide a forum for discussing and analyzing many important areas, including governance and performance issues for health systems and health programs.<\/p>\n<\/div><\/div>\n\n<\/div>\n\n\nElective Courses<\/h2>\n\n\n\nYou will choose 10 credits of elective courses as part of your MPH degree.<\/p>\n\n\n\n\nJump To:<\/strong> Fall Electives<\/a><\/li>\n\n\n\nSpring Electives<\/a><\/li>\n<\/ul>\n\n\n\nFall Semester Electives<\/h3>\n\n\nExpand All<\/button>\n\n\u00a0<\/span>\u00a0<\/span>MPHE XXXX Public Health Nutrition<\/a><\/h3>\nPublic Health Nutrition is the arm of public health that examines the role of nutrition in population and provides answers that lead to health promotion and disease prevention through the development of policies and environmental changes. This course merges concepts of nutrition and epidemiological research with practical application, including dietary assessment methods, food security, social determinants of health, and policies to address chronic diseases and cancer.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5015 Meta-Analysis-Public Health (3 Credits)<\/a><\/h3>\nMeta-analysis is a statistical tool to combine findings from multiple independent studies. In recent years, it has been increasingly used in many scientific fields. It plays an important role for improving precision of research results and resolving seemingly contradictory research outcomes. This course will introduce meta-analysis methods commonly used in public health and medical research. The course is designed to help students understand the statistical techniques used to conduct quantitative meta-analyses. Students will learn to systematically synthesize evidence from multiple studies, critically assess study heterogeneity and bias, and apply appropriate statistical models for quantitative data pooling. The course covers fixed-effect and random-effects models, forest plots, meta-regression, publication bias, and the use of software tools such as R and SPSS. Emphasis is placed on practical applications and the interpretation of findings.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>ADPP 6040 Social Epidemiology & Addiction (3 Credits)<\/a><\/h3>\nStudents will apply social epidemiologic concepts to addiction, introduced through weekly lectures and readings, and the use of discussions and case studies. This course will prepare students to understand and appreciate the contribution of social factors to addiction etiology, course and the distribution in populations.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>BHTA 6525 Homeland Security (3 Credits)<\/a><\/h3>\nThis course will examine threats to the U.S. homeland and how these threats are defeated in the context of \u201chomeland security.\u201d The course focuses on homeland security policy and planning considerations at all levels of government (federal, state, and local) and the U.S. private sector. We place emphases on understanding the concept of risk management as well as the role of science and technology in homeland security. We will begin most classes with a review of current events before covering the material for the week. Many classes will also have guest speakers who are experts in their fields.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>BSPA 7800 Global Infectious Diseases (2 Credits)<\/a><\/h3>\nThis graduate seminar is a unique combination of presentations by experts in biomedical sciences, policy, and social science that are united by key topics in global infectious diseases. The purpose of this seminar series is to provide a venue for the discussion of interdisciplinary research and development that acknowledges how the world has become a global system for the propagation of infectious disease.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CBTA 6595 Community Resilience (3 Credits)<\/a><\/h3>\nParticular attention will be paid to the role of community-\u00adlevel initiatives aimed at educating graduate students to think critically at how a community can prepare for, cope with, and recover from the adverse social, health and community impacts of disasters through the interrelated domains of prevention, preparedness, response and recovery with the end goal of achieving resilience. Emphasis will also be on identifying federal, state, local, private sector and non-\u00adgovernmental agency plans to enhance community resilience for health security threats and describe options for building community resilience.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CCTP 5005 Introduction to CCT: Interdisciplinary Problems and Methods (3 Credits)<\/a><\/h3>\nThis course introduces students to interdisciplinary and graduate studies in the Communication, Culture & Technology program. This class aims at helping students to develop an expertise so they can contribute to an intellectual community. At the same time the course will equip students with an academic and professional problem-solving framework. Students will explore interdisciplinarity in communications, cultural, media, and technology studies by taking the initial steps to identify the communities to which they want to matter, to determine what foundations\/ assumptions\/ viewpoints exist in said community, and to figure out how to contribute knowledge to the ongoing conversation. Central to these endeavors are keywords like truth, trust, facts, knowledge and power \u2013 all concepts that are hard to pin down these days and as such we will explore their scope and how they are interconnected. A core question of this course is then: how do you (or anyone else) know what you know and how can you trust this what you know?<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CLTR 6504 Project Development in Clinical Research (1 Credit)<\/a><\/h3>\nThis interactive course focuses on applying knowledge experimental design, biostatistics, and research ethics to trainee specific proposal. We will use, as examples, obesity\/metabolic syndrome; age-related neurocognitive impairment; asthma. Students will work in groups to identify a researchable question and study hypothesis, and consider alternative approaches to study design, participant recruitment, and data collection. This is an online course that requires meetings in addition to lecture time. All non-CLTR students must request instructor\/dept. approval. The Registration Team will be able to help with the “add\/drop”. Section information text: This is an online course that requires meetings in addition to lecture time. All non-CLTR students must request instructor\/dept. approval.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5010 Epidemiology of Infectious Disease (3 Credits)<\/a><\/h3>\nThis course covers the basics of epidemiology and biostatistics with an emphasis on infectious disease methods (e.g., surveillance, outbreak investigation) and substance (e.g., transmission risks and dynamics) compared to standard epidemiology courses. Covers fundamentals of descriptive epidemiology, surveillance systems, and disease dynamics. Some minimal coverage of research design and analytical epidemiology.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5020 Evidence for Infectious Disease Policy (3 Credits)<\/a><\/h3>\nThis course will build students’ ability to identify and evaluate evidence related to infectious disease, and to learn to translate evidence into recommendations for policy. Both qualitative and quantitative evidence will be covered. The course will in particular explore how quantitative evidence can drive decision making for infectious disease problems. Students will learn how to evaluate model-based or other quantitative findings for public health policy.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5011 Research Methods and Ethics (2 Credits)<\/a><\/h3>\nThis course is designed as a workshop experience which will meet over two Saturdays. It is designed to allow students to deeply explore an academic topic, problem, issue, or idea of individual interest related to global health. Students will learn and practice the design, plan the implementation of an investigation to address a research question that they will choose. Specific topics will include research methodology, employing ethical research practices, and accessing, analyzing, and synthesizing information. Students will reflect and document their processes, and collect their scholarly work in a portfolio that will contain the research question, literature review, proposed methodology and plan.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5522 Modeling Populations & Diseases (3 Credits)<\/a><\/h3>\nPopulation biology is a quantitative science dealing with changes in the size and composition of populations, and population biologists often use mathematical models to infer population dynamics. These models use information about the properties of individuals and basic assumptions about their interactions to predict population size, gene frequency, and optimal behavioral strategies of individuals, forming an important conceptual framework. Junior and Seniors only. This course shows what kinds of insight mathematical techniques can give to about biological populations of individuals, communities, and cells. My expectation is that all of you have had a good foundation in biology and some mathematics, but you won\u2019t be expected to remember every detail. You will see a good deal of mathematics and biology in this course, and we won\u2019t be assuming a great deal of prior knowledge. However, you will be expected to grasp new knowledge conceptually and demonstrate knowledge through in-class computer lab exercises, homework assignments and projects.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 7800 Disease Research Methods (2 Credits)<\/a><\/h3>\nThis graduate-level research methods course will train students in a wide range of qualitative and quantitative methodological and analytical approaches necessary for careers in global health and infectious disease policy, research, and practice.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>HSEY 6003 Health Economics (2 Credits)<\/a><\/h3>\nThis course uses the principles of economics to study the allocation of resources used to provide health and long-term care. Market inadequacies and market failures that have affected the financing, organization, and delivery of care are examined. The impact of private and public insurance programs on the organization and delivery of health care are analyzed, and the relationships between politics, policies, and health care markets are explored. Basic economics principles are taught and applied to the study of health care.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>HESY 6008 Population Health & Data Visualization (2 Credits)<\/a><\/h3>\nAs value-based models incentive efforts to reduce costs, improve the patient experience, and advance the health of populations, widespread efforts are underway to make real-time data available for analytics \u2013 leading to more informed decision-making and resource allocation. To facilitate these efforts, organizations are employing data visualization platforms (e.g. Tableau, Power BI) for operational and population health surveillance. Through a series of big data simulation exercises, this course will allow students to create, interpret, analyze, and critique data visualization methodologies for improved organizational performance and population health advancement.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>PPOL 6501 Health Policy, Politics and Law (3 Credits)<\/a><\/h3>\nThis course will explore how politics has shared our public-private mix of financing arrangements \u2013 with significant consequences for access and costs; how politics in the Congress and the courts together pose significant hurdles to reforming health financing that will assure access to affordable quality care.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>SYSM 5910 Biomedical Informatics (3 Credits)<\/a><\/h3>\nThis didactic course will provide an overview of the field of Biomedical Informatics from different perspectives. This course will provide an overview of biology and medicine relevant to healthcare from an informatics perspective. This course focuses on utilizing data to solve relevant health and informatic problems that the healthcare system is facing. Emphasis is given to understanding the basic building blocks, various information resources and the application areas of Biomedical Informatics. Students will learn to explore the process of developing and applying computational techniques for determining the information needs of healthcare providers and patients. This class uses lectures, flipped classroom approaches where needed as well as student led discussions. Relevant topics include Electronic Health Records, Patient Quality Assessment and Improvements, Evidence Based Medicine, Natural Language Processing, Consumer and Public Health Informatics.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>TBIO 6525 Cancer Genetics (3 Credits)<\/a><\/h3>\nThis course introduces the fundamentals of the molecular genetics and molecular cytogenetics of cancer. In addition, it covers diagnostic, clinical, and population-based aspects of this rapidly advancing field.<\/p>\n<\/div><\/div>\n\n<\/div>\n\n\nSpring Semester Electives<\/h3>\n\n\nExpand All<\/button>\n\n\u00a0<\/span>\u00a0<\/span>ADPP 6040 Social Epidemiology & Addiction<\/a><\/h3>\nStudents will apply social epidemiologic concepts to addiction, introduced through weekly lectures and readings, and the use of discussions and case studies. This course will prepare students to understand and appreciate the contribution of social factors to addiction etiology, course and the distribution in populations.<\/p>\n<\/div><\/div>\n\n\n\n
This course introduces you to the foundational principles of infectious disease epidemiology, emphasizing emerging and re-emerging pathogens, including viruses, bacteria and eukaryotic parasites.<\/p>\n\n\n\n
You will explore how these infections influence medical care and public health, with a special focus on their role in driving and deepening health disparities both locally and globally.<\/p>\n\n\n\n
Skills you will develop <\/strong><\/p>\n\n\n\n\nInfectious disease epidemiology<\/li>\n\n\n\nIdentifying pathogens<\/li>\n\n\n\nUnderstanding health disparities <\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5010\/5012 Research Ethics & Professional Development Seminar<\/a><\/h3>\n1 Credit<\/p>\n\n\n\nThis course centers on two key areas:<\/p>\n\n\n\n\nEthics and the responsible conduct of scientific research<\/li>\n\n\n\nA broad exploration of epidemiology topics through the lens of health equity and disparities<\/li>\n<\/ul>\n\n\n\nPast sessions have featured talks on issues such as “Stigma: Global Mental Health,” “AI Tools in Research and Ethical Use,” and “Work, Retirement and Aging.”<\/p>\n\n\n\nSkills you will develop <\/strong><\/p>\n\n\n\n\nResearch conduct<\/li>\n\n\n\nEthics<\/li>\n\n\n\nEpidemiology research<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLOH 5504 Introduction to Quantitative Data Analysis<\/a><\/h3>\n 1 Credit<\/p>\n\n\n\nThis course develops your understanding of what types of quantitative datasets exist in global health, how to access them and how to use them for basic statistical analysis. You’ll learn about dataset structure and how to select variables for analysis of global health questions.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLOH 5520 Health Policy and Systems<\/a><\/h3>\n3 Credits<\/p>\n\n\n\nThis course provides essential skills to formulate health policy, and to understand, analyze, and evaluate health systems in low- and middle-income countries. Weekly meetings provide a forum for discussing and analyzing many important areas, including governance and performance issues for health systems and health programs.<\/p>\n<\/div><\/div>\n\n<\/div>\n\n\nElective Courses<\/h2>\n\n\n\nYou will choose 10 credits of elective courses as part of your MPH degree.<\/p>\n\n\n\n\nJump To:<\/strong> Fall Electives<\/a><\/li>\n\n\n\nSpring Electives<\/a><\/li>\n<\/ul>\n\n\n\nFall Semester Electives<\/h3>\n\n\nExpand All<\/button>\n\n\u00a0<\/span>\u00a0<\/span>MPHE XXXX Public Health Nutrition<\/a><\/h3>\nPublic Health Nutrition is the arm of public health that examines the role of nutrition in population and provides answers that lead to health promotion and disease prevention through the development of policies and environmental changes. This course merges concepts of nutrition and epidemiological research with practical application, including dietary assessment methods, food security, social determinants of health, and policies to address chronic diseases and cancer.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5015 Meta-Analysis-Public Health (3 Credits)<\/a><\/h3>\nMeta-analysis is a statistical tool to combine findings from multiple independent studies. In recent years, it has been increasingly used in many scientific fields. It plays an important role for improving precision of research results and resolving seemingly contradictory research outcomes. This course will introduce meta-analysis methods commonly used in public health and medical research. The course is designed to help students understand the statistical techniques used to conduct quantitative meta-analyses. Students will learn to systematically synthesize evidence from multiple studies, critically assess study heterogeneity and bias, and apply appropriate statistical models for quantitative data pooling. The course covers fixed-effect and random-effects models, forest plots, meta-regression, publication bias, and the use of software tools such as R and SPSS. Emphasis is placed on practical applications and the interpretation of findings.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>ADPP 6040 Social Epidemiology & Addiction (3 Credits)<\/a><\/h3>\nStudents will apply social epidemiologic concepts to addiction, introduced through weekly lectures and readings, and the use of discussions and case studies. This course will prepare students to understand and appreciate the contribution of social factors to addiction etiology, course and the distribution in populations.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>BHTA 6525 Homeland Security (3 Credits)<\/a><\/h3>\nThis course will examine threats to the U.S. homeland and how these threats are defeated in the context of \u201chomeland security.\u201d The course focuses on homeland security policy and planning considerations at all levels of government (federal, state, and local) and the U.S. private sector. We place emphases on understanding the concept of risk management as well as the role of science and technology in homeland security. We will begin most classes with a review of current events before covering the material for the week. Many classes will also have guest speakers who are experts in their fields.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>BSPA 7800 Global Infectious Diseases (2 Credits)<\/a><\/h3>\nThis graduate seminar is a unique combination of presentations by experts in biomedical sciences, policy, and social science that are united by key topics in global infectious diseases. The purpose of this seminar series is to provide a venue for the discussion of interdisciplinary research and development that acknowledges how the world has become a global system for the propagation of infectious disease.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CBTA 6595 Community Resilience (3 Credits)<\/a><\/h3>\nParticular attention will be paid to the role of community-\u00adlevel initiatives aimed at educating graduate students to think critically at how a community can prepare for, cope with, and recover from the adverse social, health and community impacts of disasters through the interrelated domains of prevention, preparedness, response and recovery with the end goal of achieving resilience. Emphasis will also be on identifying federal, state, local, private sector and non-\u00adgovernmental agency plans to enhance community resilience for health security threats and describe options for building community resilience.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CCTP 5005 Introduction to CCT: Interdisciplinary Problems and Methods (3 Credits)<\/a><\/h3>\nThis course introduces students to interdisciplinary and graduate studies in the Communication, Culture & Technology program. This class aims at helping students to develop an expertise so they can contribute to an intellectual community. At the same time the course will equip students with an academic and professional problem-solving framework. Students will explore interdisciplinarity in communications, cultural, media, and technology studies by taking the initial steps to identify the communities to which they want to matter, to determine what foundations\/ assumptions\/ viewpoints exist in said community, and to figure out how to contribute knowledge to the ongoing conversation. Central to these endeavors are keywords like truth, trust, facts, knowledge and power \u2013 all concepts that are hard to pin down these days and as such we will explore their scope and how they are interconnected. A core question of this course is then: how do you (or anyone else) know what you know and how can you trust this what you know?<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CLTR 6504 Project Development in Clinical Research (1 Credit)<\/a><\/h3>\nThis interactive course focuses on applying knowledge experimental design, biostatistics, and research ethics to trainee specific proposal. We will use, as examples, obesity\/metabolic syndrome; age-related neurocognitive impairment; asthma. Students will work in groups to identify a researchable question and study hypothesis, and consider alternative approaches to study design, participant recruitment, and data collection. This is an online course that requires meetings in addition to lecture time. All non-CLTR students must request instructor\/dept. approval. The Registration Team will be able to help with the “add\/drop”. Section information text: This is an online course that requires meetings in addition to lecture time. All non-CLTR students must request instructor\/dept. approval.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5010 Epidemiology of Infectious Disease (3 Credits)<\/a><\/h3>\nThis course covers the basics of epidemiology and biostatistics with an emphasis on infectious disease methods (e.g., surveillance, outbreak investigation) and substance (e.g., transmission risks and dynamics) compared to standard epidemiology courses. Covers fundamentals of descriptive epidemiology, surveillance systems, and disease dynamics. Some minimal coverage of research design and analytical epidemiology.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5020 Evidence for Infectious Disease Policy (3 Credits)<\/a><\/h3>\nThis course will build students’ ability to identify and evaluate evidence related to infectious disease, and to learn to translate evidence into recommendations for policy. Both qualitative and quantitative evidence will be covered. The course will in particular explore how quantitative evidence can drive decision making for infectious disease problems. Students will learn how to evaluate model-based or other quantitative findings for public health policy.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5011 Research Methods and Ethics (2 Credits)<\/a><\/h3>\nThis course is designed as a workshop experience which will meet over two Saturdays. It is designed to allow students to deeply explore an academic topic, problem, issue, or idea of individual interest related to global health. Students will learn and practice the design, plan the implementation of an investigation to address a research question that they will choose. Specific topics will include research methodology, employing ethical research practices, and accessing, analyzing, and synthesizing information. Students will reflect and document their processes, and collect their scholarly work in a portfolio that will contain the research question, literature review, proposed methodology and plan.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5522 Modeling Populations & Diseases (3 Credits)<\/a><\/h3>\nPopulation biology is a quantitative science dealing with changes in the size and composition of populations, and population biologists often use mathematical models to infer population dynamics. These models use information about the properties of individuals and basic assumptions about their interactions to predict population size, gene frequency, and optimal behavioral strategies of individuals, forming an important conceptual framework. Junior and Seniors only. This course shows what kinds of insight mathematical techniques can give to about biological populations of individuals, communities, and cells. My expectation is that all of you have had a good foundation in biology and some mathematics, but you won\u2019t be expected to remember every detail. You will see a good deal of mathematics and biology in this course, and we won\u2019t be assuming a great deal of prior knowledge. However, you will be expected to grasp new knowledge conceptually and demonstrate knowledge through in-class computer lab exercises, homework assignments and projects.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 7800 Disease Research Methods (2 Credits)<\/a><\/h3>\nThis graduate-level research methods course will train students in a wide range of qualitative and quantitative methodological and analytical approaches necessary for careers in global health and infectious disease policy, research, and practice.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>HSEY 6003 Health Economics (2 Credits)<\/a><\/h3>\nThis course uses the principles of economics to study the allocation of resources used to provide health and long-term care. Market inadequacies and market failures that have affected the financing, organization, and delivery of care are examined. The impact of private and public insurance programs on the organization and delivery of health care are analyzed, and the relationships between politics, policies, and health care markets are explored. Basic economics principles are taught and applied to the study of health care.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>HESY 6008 Population Health & Data Visualization (2 Credits)<\/a><\/h3>\nAs value-based models incentive efforts to reduce costs, improve the patient experience, and advance the health of populations, widespread efforts are underway to make real-time data available for analytics \u2013 leading to more informed decision-making and resource allocation. To facilitate these efforts, organizations are employing data visualization platforms (e.g. Tableau, Power BI) for operational and population health surveillance. Through a series of big data simulation exercises, this course will allow students to create, interpret, analyze, and critique data visualization methodologies for improved organizational performance and population health advancement.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>PPOL 6501 Health Policy, Politics and Law (3 Credits)<\/a><\/h3>\nThis course will explore how politics has shared our public-private mix of financing arrangements \u2013 with significant consequences for access and costs; how politics in the Congress and the courts together pose significant hurdles to reforming health financing that will assure access to affordable quality care.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>SYSM 5910 Biomedical Informatics (3 Credits)<\/a><\/h3>\nThis didactic course will provide an overview of the field of Biomedical Informatics from different perspectives. This course will provide an overview of biology and medicine relevant to healthcare from an informatics perspective. This course focuses on utilizing data to solve relevant health and informatic problems that the healthcare system is facing. Emphasis is given to understanding the basic building blocks, various information resources and the application areas of Biomedical Informatics. Students will learn to explore the process of developing and applying computational techniques for determining the information needs of healthcare providers and patients. This class uses lectures, flipped classroom approaches where needed as well as student led discussions. Relevant topics include Electronic Health Records, Patient Quality Assessment and Improvements, Evidence Based Medicine, Natural Language Processing, Consumer and Public Health Informatics.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>TBIO 6525 Cancer Genetics (3 Credits)<\/a><\/h3>\nThis course introduces the fundamentals of the molecular genetics and molecular cytogenetics of cancer. In addition, it covers diagnostic, clinical, and population-based aspects of this rapidly advancing field.<\/p>\n<\/div><\/div>\n\n<\/div>\n\n\nSpring Semester Electives<\/h3>\n\n\nExpand All<\/button>\n\n\u00a0<\/span>\u00a0<\/span>ADPP 6040 Social Epidemiology & Addiction<\/a><\/h3>\nStudents will apply social epidemiologic concepts to addiction, introduced through weekly lectures and readings, and the use of discussions and case studies. This course will prepare students to understand and appreciate the contribution of social factors to addiction etiology, course and the distribution in populations.<\/p>\n<\/div><\/div>\n\n\n\n
1 Credit<\/p>\n\n\n\n
This course centers on two key areas:<\/p>\n\n\n\n
Past sessions have featured talks on issues such as “Stigma: Global Mental Health,” “AI Tools in Research and Ethical Use,” and “Work, Retirement and Aging.”<\/p>\n\n\n\n
Skills you will develop <\/strong><\/p>\n\n\n\n\nResearch conduct<\/li>\n\n\n\nEthics<\/li>\n\n\n\nEpidemiology research<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLOH 5504 Introduction to Quantitative Data Analysis<\/a><\/h3>\n 1 Credit<\/p>\n\n\n\nThis course develops your understanding of what types of quantitative datasets exist in global health, how to access them and how to use them for basic statistical analysis. You’ll learn about dataset structure and how to select variables for analysis of global health questions.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLOH 5520 Health Policy and Systems<\/a><\/h3>\n3 Credits<\/p>\n\n\n\nThis course provides essential skills to formulate health policy, and to understand, analyze, and evaluate health systems in low- and middle-income countries. Weekly meetings provide a forum for discussing and analyzing many important areas, including governance and performance issues for health systems and health programs.<\/p>\n<\/div><\/div>\n\n<\/div>\n\n\nElective Courses<\/h2>\n\n\n\nYou will choose 10 credits of elective courses as part of your MPH degree.<\/p>\n\n\n\n\nJump To:<\/strong> Fall Electives<\/a><\/li>\n\n\n\nSpring Electives<\/a><\/li>\n<\/ul>\n\n\n\nFall Semester Electives<\/h3>\n\n\nExpand All<\/button>\n\n\u00a0<\/span>\u00a0<\/span>MPHE XXXX Public Health Nutrition<\/a><\/h3>\nPublic Health Nutrition is the arm of public health that examines the role of nutrition in population and provides answers that lead to health promotion and disease prevention through the development of policies and environmental changes. This course merges concepts of nutrition and epidemiological research with practical application, including dietary assessment methods, food security, social determinants of health, and policies to address chronic diseases and cancer.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>EPID 5015 Meta-Analysis-Public Health (3 Credits)<\/a><\/h3>\nMeta-analysis is a statistical tool to combine findings from multiple independent studies. In recent years, it has been increasingly used in many scientific fields. It plays an important role for improving precision of research results and resolving seemingly contradictory research outcomes. This course will introduce meta-analysis methods commonly used in public health and medical research. The course is designed to help students understand the statistical techniques used to conduct quantitative meta-analyses. Students will learn to systematically synthesize evidence from multiple studies, critically assess study heterogeneity and bias, and apply appropriate statistical models for quantitative data pooling. The course covers fixed-effect and random-effects models, forest plots, meta-regression, publication bias, and the use of software tools such as R and SPSS. Emphasis is placed on practical applications and the interpretation of findings.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>ADPP 6040 Social Epidemiology & Addiction (3 Credits)<\/a><\/h3>\nStudents will apply social epidemiologic concepts to addiction, introduced through weekly lectures and readings, and the use of discussions and case studies. This course will prepare students to understand and appreciate the contribution of social factors to addiction etiology, course and the distribution in populations.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>BHTA 6525 Homeland Security (3 Credits)<\/a><\/h3>\nThis course will examine threats to the U.S. homeland and how these threats are defeated in the context of \u201chomeland security.\u201d The course focuses on homeland security policy and planning considerations at all levels of government (federal, state, and local) and the U.S. private sector. We place emphases on understanding the concept of risk management as well as the role of science and technology in homeland security. We will begin most classes with a review of current events before covering the material for the week. Many classes will also have guest speakers who are experts in their fields.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>BSPA 7800 Global Infectious Diseases (2 Credits)<\/a><\/h3>\nThis graduate seminar is a unique combination of presentations by experts in biomedical sciences, policy, and social science that are united by key topics in global infectious diseases. The purpose of this seminar series is to provide a venue for the discussion of interdisciplinary research and development that acknowledges how the world has become a global system for the propagation of infectious disease.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CBTA 6595 Community Resilience (3 Credits)<\/a><\/h3>\nParticular attention will be paid to the role of community-\u00adlevel initiatives aimed at educating graduate students to think critically at how a community can prepare for, cope with, and recover from the adverse social, health and community impacts of disasters through the interrelated domains of prevention, preparedness, response and recovery with the end goal of achieving resilience. Emphasis will also be on identifying federal, state, local, private sector and non-\u00adgovernmental agency plans to enhance community resilience for health security threats and describe options for building community resilience.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CCTP 5005 Introduction to CCT: Interdisciplinary Problems and Methods (3 Credits)<\/a><\/h3>\nThis course introduces students to interdisciplinary and graduate studies in the Communication, Culture & Technology program. This class aims at helping students to develop an expertise so they can contribute to an intellectual community. At the same time the course will equip students with an academic and professional problem-solving framework. Students will explore interdisciplinarity in communications, cultural, media, and technology studies by taking the initial steps to identify the communities to which they want to matter, to determine what foundations\/ assumptions\/ viewpoints exist in said community, and to figure out how to contribute knowledge to the ongoing conversation. Central to these endeavors are keywords like truth, trust, facts, knowledge and power \u2013 all concepts that are hard to pin down these days and as such we will explore their scope and how they are interconnected. A core question of this course is then: how do you (or anyone else) know what you know and how can you trust this what you know?<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>CLTR 6504 Project Development in Clinical Research (1 Credit)<\/a><\/h3>\nThis interactive course focuses on applying knowledge experimental design, biostatistics, and research ethics to trainee specific proposal. We will use, as examples, obesity\/metabolic syndrome; age-related neurocognitive impairment; asthma. Students will work in groups to identify a researchable question and study hypothesis, and consider alternative approaches to study design, participant recruitment, and data collection. This is an online course that requires meetings in addition to lecture time. All non-CLTR students must request instructor\/dept. approval. The Registration Team will be able to help with the “add\/drop”. Section information text: This is an online course that requires meetings in addition to lecture time. All non-CLTR students must request instructor\/dept. approval.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5010 Epidemiology of Infectious Disease (3 Credits)<\/a><\/h3>\nThis course covers the basics of epidemiology and biostatistics with an emphasis on infectious disease methods (e.g., surveillance, outbreak investigation) and substance (e.g., transmission risks and dynamics) compared to standard epidemiology courses. Covers fundamentals of descriptive epidemiology, surveillance systems, and disease dynamics. Some minimal coverage of research design and analytical epidemiology.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5020 Evidence for Infectious Disease Policy (3 Credits)<\/a><\/h3>\nThis course will build students’ ability to identify and evaluate evidence related to infectious disease, and to learn to translate evidence into recommendations for policy. Both qualitative and quantitative evidence will be covered. The course will in particular explore how quantitative evidence can drive decision making for infectious disease problems. Students will learn how to evaluate model-based or other quantitative findings for public health policy.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5011 Research Methods and Ethics (2 Credits)<\/a><\/h3>\nThis course is designed as a workshop experience which will meet over two Saturdays. It is designed to allow students to deeply explore an academic topic, problem, issue, or idea of individual interest related to global health. Students will learn and practice the design, plan the implementation of an investigation to address a research question that they will choose. Specific topics will include research methodology, employing ethical research practices, and accessing, analyzing, and synthesizing information. Students will reflect and document their processes, and collect their scholarly work in a portfolio that will contain the research question, literature review, proposed methodology and plan.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 5522 Modeling Populations & Diseases (3 Credits)<\/a><\/h3>\nPopulation biology is a quantitative science dealing with changes in the size and composition of populations, and population biologists often use mathematical models to infer population dynamics. These models use information about the properties of individuals and basic assumptions about their interactions to predict population size, gene frequency, and optimal behavioral strategies of individuals, forming an important conceptual framework. Junior and Seniors only. This course shows what kinds of insight mathematical techniques can give to about biological populations of individuals, communities, and cells. My expectation is that all of you have had a good foundation in biology and some mathematics, but you won\u2019t be expected to remember every detail. You will see a good deal of mathematics and biology in this course, and we won\u2019t be assuming a great deal of prior knowledge. However, you will be expected to grasp new knowledge conceptually and demonstrate knowledge through in-class computer lab exercises, homework assignments and projects.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>GLID 7800 Disease Research Methods (2 Credits)<\/a><\/h3>\nThis graduate-level research methods course will train students in a wide range of qualitative and quantitative methodological and analytical approaches necessary for careers in global health and infectious disease policy, research, and practice.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>HSEY 6003 Health Economics (2 Credits)<\/a><\/h3>\nThis course uses the principles of economics to study the allocation of resources used to provide health and long-term care. Market inadequacies and market failures that have affected the financing, organization, and delivery of care are examined. The impact of private and public insurance programs on the organization and delivery of health care are analyzed, and the relationships between politics, policies, and health care markets are explored. Basic economics principles are taught and applied to the study of health care.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>HESY 6008 Population Health & Data Visualization (2 Credits)<\/a><\/h3>\nAs value-based models incentive efforts to reduce costs, improve the patient experience, and advance the health of populations, widespread efforts are underway to make real-time data available for analytics \u2013 leading to more informed decision-making and resource allocation. To facilitate these efforts, organizations are employing data visualization platforms (e.g. Tableau, Power BI) for operational and population health surveillance. Through a series of big data simulation exercises, this course will allow students to create, interpret, analyze, and critique data visualization methodologies for improved organizational performance and population health advancement.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>PPOL 6501 Health Policy, Politics and Law (3 Credits)<\/a><\/h3>\nThis course will explore how politics has shared our public-private mix of financing arrangements \u2013 with significant consequences for access and costs; how politics in the Congress and the courts together pose significant hurdles to reforming health financing that will assure access to affordable quality care.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>SYSM 5910 Biomedical Informatics (3 Credits)<\/a><\/h3>\nThis didactic course will provide an overview of the field of Biomedical Informatics from different perspectives. This course will provide an overview of biology and medicine relevant to healthcare from an informatics perspective. This course focuses on utilizing data to solve relevant health and informatic problems that the healthcare system is facing. Emphasis is given to understanding the basic building blocks, various information resources and the application areas of Biomedical Informatics. Students will learn to explore the process of developing and applying computational techniques for determining the information needs of healthcare providers and patients. This class uses lectures, flipped classroom approaches where needed as well as student led discussions. Relevant topics include Electronic Health Records, Patient Quality Assessment and Improvements, Evidence Based Medicine, Natural Language Processing, Consumer and Public Health Informatics.<\/p>\n<\/div><\/div>\n\n\n\n\u00a0<\/span>\u00a0<\/span>TBIO 6525 Cancer Genetics (3 Credits)<\/a><\/h3>\nThis course introduces the fundamentals of the molecular genetics and molecular cytogenetics of cancer. In addition, it covers diagnostic, clinical, and population-based aspects of this rapidly advancing field.<\/p>\n<\/div><\/div>\n\n<\/div>\n\n\nSpring Semester Electives<\/h3>\n\n\nExpand All<\/button>\n\n\u00a0<\/span>\u00a0<\/span>ADPP 6040 Social Epidemiology & Addiction<\/a><\/h3>\nStudents will apply social epidemiologic concepts to addiction, introduced through weekly lectures and readings, and the use of discussions and case studies. This course will prepare students to understand and appreciate the contribution of social factors to addiction etiology, course and the distribution in populations.<\/p>\n<\/div><\/div>\n\n\n\n
This course develops your understanding of what types of quantitative datasets exist in global health, how to access them and how to use them for basic statistical analysis. You’ll learn about dataset structure and how to select variables for analysis of global health questions.<\/p>\n<\/div><\/div>\n\n\n\n
This course provides essential skills to formulate health policy, and to understand, analyze, and evaluate health systems in low- and middle-income countries. Weekly meetings provide a forum for discussing and analyzing many important areas, including governance and performance issues for health systems and health programs.<\/p>\n<\/div><\/div>\n\n<\/div>\n\n\n
You will choose 10 credits of elective courses as part of your MPH degree.<\/p>\n\n\n\n
Public Health Nutrition is the arm of public health that examines the role of nutrition in population and provides answers that lead to health promotion and disease prevention through the development of policies and environmental changes. This course merges concepts of nutrition and epidemiological research with practical application, including dietary assessment methods, food security, social determinants of health, and policies to address chronic diseases and cancer.<\/p>\n<\/div><\/div>\n\n\n\n
Meta-analysis is a statistical tool to combine findings from multiple independent studies. In recent years, it has been increasingly used in many scientific fields. It plays an important role for improving precision of research results and resolving seemingly contradictory research outcomes. This course will introduce meta-analysis methods commonly used in public health and medical research. The course is designed to help students understand the statistical techniques used to conduct quantitative meta-analyses. Students will learn to systematically synthesize evidence from multiple studies, critically assess study heterogeneity and bias, and apply appropriate statistical models for quantitative data pooling. The course covers fixed-effect and random-effects models, forest plots, meta-regression, publication bias, and the use of software tools such as R and SPSS. Emphasis is placed on practical applications and the interpretation of findings.<\/p>\n<\/div><\/div>\n\n\n\n
Students will apply social epidemiologic concepts to addiction, introduced through weekly lectures and readings, and the use of discussions and case studies. This course will prepare students to understand and appreciate the contribution of social factors to addiction etiology, course and the distribution in populations.<\/p>\n<\/div><\/div>\n\n\n\n
This course will examine threats to the U.S. homeland and how these threats are defeated in the context of \u201chomeland security.\u201d The course focuses on homeland security policy and planning considerations at all levels of government (federal, state, and local) and the U.S. private sector. We place emphases on understanding the concept of risk management as well as the role of science and technology in homeland security. We will begin most classes with a review of current events before covering the material for the week. Many classes will also have guest speakers who are experts in their fields.<\/p>\n<\/div><\/div>\n\n\n\n
This graduate seminar is a unique combination of presentations by experts in biomedical sciences, policy, and social science that are united by key topics in global infectious diseases. The purpose of this seminar series is to provide a venue for the discussion of interdisciplinary research and development that acknowledges how the world has become a global system for the propagation of infectious disease.<\/p>\n<\/div><\/div>\n\n\n\n
Particular attention will be paid to the role of community-\u00adlevel initiatives aimed at educating graduate students to think critically at how a community can prepare for, cope with, and recover from the adverse social, health and community impacts of disasters through the interrelated domains of prevention, preparedness, response and recovery with the end goal of achieving resilience. Emphasis will also be on identifying federal, state, local, private sector and non-\u00adgovernmental agency plans to enhance community resilience for health security threats and describe options for building community resilience.<\/p>\n<\/div><\/div>\n\n\n\n
This course introduces students to interdisciplinary and graduate studies in the Communication, Culture & Technology program. This class aims at helping students to develop an expertise so they can contribute to an intellectual community. At the same time the course will equip students with an academic and professional problem-solving framework. Students will explore interdisciplinarity in communications, cultural, media, and technology studies by taking the initial steps to identify the communities to which they want to matter, to determine what foundations\/ assumptions\/ viewpoints exist in said community, and to figure out how to contribute knowledge to the ongoing conversation. Central to these endeavors are keywords like truth, trust, facts, knowledge and power \u2013 all concepts that are hard to pin down these days and as such we will explore their scope and how they are interconnected. A core question of this course is then: how do you (or anyone else) know what you know and how can you trust this what you know?<\/p>\n<\/div><\/div>\n\n\n\n
This interactive course focuses on applying knowledge experimental design, biostatistics, and research ethics to trainee specific proposal. We will use, as examples, obesity\/metabolic syndrome; age-related neurocognitive impairment; asthma. Students will work in groups to identify a researchable question and study hypothesis, and consider alternative approaches to study design, participant recruitment, and data collection. This is an online course that requires meetings in addition to lecture time. All non-CLTR students must request instructor\/dept. approval. The Registration Team will be able to help with the “add\/drop”. Section information text: This is an online course that requires meetings in addition to lecture time. All non-CLTR students must request instructor\/dept. approval.<\/p>\n<\/div><\/div>\n\n\n\n
This course covers the basics of epidemiology and biostatistics with an emphasis on infectious disease methods (e.g., surveillance, outbreak investigation) and substance (e.g., transmission risks and dynamics) compared to standard epidemiology courses. Covers fundamentals of descriptive epidemiology, surveillance systems, and disease dynamics. Some minimal coverage of research design and analytical epidemiology.<\/p>\n<\/div><\/div>\n\n\n\n
This course will build students’ ability to identify and evaluate evidence related to infectious disease, and to learn to translate evidence into recommendations for policy. Both qualitative and quantitative evidence will be covered. The course will in particular explore how quantitative evidence can drive decision making for infectious disease problems. Students will learn how to evaluate model-based or other quantitative findings for public health policy.<\/p>\n<\/div><\/div>\n\n\n\n
This course is designed as a workshop experience which will meet over two Saturdays. It is designed to allow students to deeply explore an academic topic, problem, issue, or idea of individual interest related to global health. Students will learn and practice the design, plan the implementation of an investigation to address a research question that they will choose. Specific topics will include research methodology, employing ethical research practices, and accessing, analyzing, and synthesizing information. Students will reflect and document their processes, and collect their scholarly work in a portfolio that will contain the research question, literature review, proposed methodology and plan.<\/p>\n<\/div><\/div>\n\n\n\n
Population biology is a quantitative science dealing with changes in the size and composition of populations, and population biologists often use mathematical models to infer population dynamics. These models use information about the properties of individuals and basic assumptions about their interactions to predict population size, gene frequency, and optimal behavioral strategies of individuals, forming an important conceptual framework. Junior and Seniors only. This course shows what kinds of insight mathematical techniques can give to about biological populations of individuals, communities, and cells. My expectation is that all of you have had a good foundation in biology and some mathematics, but you won\u2019t be expected to remember every detail. You will see a good deal of mathematics and biology in this course, and we won\u2019t be assuming a great deal of prior knowledge. However, you will be expected to grasp new knowledge conceptually and demonstrate knowledge through in-class computer lab exercises, homework assignments and projects.<\/p>\n<\/div><\/div>\n\n\n\n
This graduate-level research methods course will train students in a wide range of qualitative and quantitative methodological and analytical approaches necessary for careers in global health and infectious disease policy, research, and practice.<\/p>\n<\/div><\/div>\n\n\n\n
This course uses the principles of economics to study the allocation of resources used to provide health and long-term care. Market inadequacies and market failures that have affected the financing, organization, and delivery of care are examined. The impact of private and public insurance programs on the organization and delivery of health care are analyzed, and the relationships between politics, policies, and health care markets are explored. Basic economics principles are taught and applied to the study of health care.<\/p>\n<\/div><\/div>\n\n\n\n
As value-based models incentive efforts to reduce costs, improve the patient experience, and advance the health of populations, widespread efforts are underway to make real-time data available for analytics \u2013 leading to more informed decision-making and resource allocation. To facilitate these efforts, organizations are employing data visualization platforms (e.g. Tableau, Power BI) for operational and population health surveillance. Through a series of big data simulation exercises, this course will allow students to create, interpret, analyze, and critique data visualization methodologies for improved organizational performance and population health advancement.<\/p>\n<\/div><\/div>\n\n\n\n
This course will explore how politics has shared our public-private mix of financing arrangements \u2013 with significant consequences for access and costs; how politics in the Congress and the courts together pose significant hurdles to reforming health financing that will assure access to affordable quality care.<\/p>\n<\/div><\/div>\n\n\n\n
This didactic course will provide an overview of the field of Biomedical Informatics from different perspectives. This course will provide an overview of biology and medicine relevant to healthcare from an informatics perspective. This course focuses on utilizing data to solve relevant health and informatic problems that the healthcare system is facing. Emphasis is given to understanding the basic building blocks, various information resources and the application areas of Biomedical Informatics. Students will learn to explore the process of developing and applying computational techniques for determining the information needs of healthcare providers and patients. This class uses lectures, flipped classroom approaches where needed as well as student led discussions. Relevant topics include Electronic Health Records, Patient Quality Assessment and Improvements, Evidence Based Medicine, Natural Language Processing, Consumer and Public Health Informatics.<\/p>\n<\/div><\/div>\n\n\n\n
This course introduces the fundamentals of the molecular genetics and molecular cytogenetics of cancer. In addition, it covers diagnostic, clinical, and population-based aspects of this rapidly advancing field.<\/p>\n<\/div><\/div>\n\n<\/div>\n\n\n