Programs by Campus
Indianapolis
Health Policy and Management
Courses
- PBHL-H 501 U.S. Health Care Systems and Health Policy (3 cr.)
This course is designed to help students, particularly those interested in careers as public health leaders and health care managers, develop a better understanding of critical health policies and the health policy making process as well as the overall structure and key components of our health care system.
- PBHL-S 510 Introduction to Research Methods (3 cr.) This course examines fundamental research methods used in the field of public health. The focus is on understanding how community and clinical data are collected in scientifically valid methods and how study results are fairly interpreted. Students will learn how to critique published research to identify the strengths and limitations of the designs and approaches used, along with possible confounding factors and biases. Topics include components of research studies, including: justification for a research project, developments of research questions, selections of cases and controls, sampling methods, quantitative and qualitative data gathering techniques, project management, and preparing data for analysis. Methods used to complete and interpret community-based needs assessments and program evaluations will be included.
- PBHL-E 517 Fundamentals of Epidemiology (3 cr.) This course will introduce students to basic epidemiologic concepts including determinants of health and patterns of disease in populations, population health descriptive techniques, use of health indicators and secondary data sources. Students will gain an understanding of the role of epidemiology in developing prevention strategies and policy. Among the topics to be covered are measures of mortality and morbidity, design and analysis of observational studies, community health assessment and program evaluation.
- PHHL-B 551 Biostatistics for Public Health I (3 cr.) This course introduces the basic principles and methods of data analysis in public health biostatistics. Emphasis is placed on concepts such as sampling, study design, descriptive statistics, probability, hypothesis testing, chi-square tests, t-tests, analysis of variance, linear regression and correlation. An introduction to SAS statistical software is part of this course.
- PBHL-H 619 Health Economics for Public Health Professionals (3 cr.) P: 3 cr. of undergraduate economics or permission of the instructor. This course examines the principles and application of economic analysis in the health field and the economist’s approach to health care issues. It provides insights offered by economic analysis of specific health issues and problems.
- PBHL-P 652 Biostatistics for Public Health II (3 cr.) P: B551. This course introduces the advanced principles and methods of data analysis in public health biostatistics. Emphasis is placed on public health examples as they relate to concepts such as: Multiple regression, analysis of variance and covariance, logistic regression, nonparametric statistics, survival analysis, epidemiology statistics, and repeated measures analysis as they apply to public health practice.
- PBHL-H 658 Health Policy and Program Evaluation (3 cr.) P: S510. This course examines fundamental research methods used in the field of public health. The focus is on understanding how community in scientifically valid methods and how study results in daily fairly interpreted.
- PBHL-H 670 Topics in Public Health (3 cr.)
This course is an introduction to the role of ethics in population health-related programs, policymaking, professions and research. Because public health interventions focus on communities, as contrasted with individuals, they raise distinct and significant ethical questions from those raised in health services delivery (commonly addressed in fields such as medical ethics, bioethics and clinical ethics).
- PBHL-H 680 Sem in Contemporary HPM Challenges (3 cr.)
This seminar is the introductory seminar for HPM doctoral students and should be taken in the first or second year of your graduate study. The broad goal of the course is to help you develop your skills in analytic reasoning, critical thinking, knowledge translation, and professional self-reflection necessary for a successful research career.
- PBHL-H 740 Workshop in Health Policy and Management (3 cr.) P: Completion of all 500- and 600-level core courses or permission of instructor.
This course is designed to prepare students for the H742: Practicum in Health Policy and Management. Students will be assigned to work in small groups of two or three students with health policy makers in local or state government or in private or non-profit health care organizations on a policy issue chosen by the agency. Over the course of the semester, students will conduct background research on the topic and examine prior relevant policies. This background work will be shared and discussed with the sponsoring agency.
- PBHL-B 742 Practicum in Health Policy & Management (3 cr.) While the nature of the policy work will vary across agencies, the pedagogical objective of this field experience is for Ph.D. students to get hands on experience in translating research into policy and practice. Ph.D. students will meet as a class to discuss their work and the challenges they are facing.
- PBHL-H 775 Doctoral Research Seminar in Health Policy and Management (3 cr.) This course is designed to expose Ph.D. students to a wide range of specific research topics and issues in Public Health. The seminar topics will be chosen by the Director of the Ph.D. program with input from other faculty members.
- PBHL-H 800 Doctoral Level Directed Study (3 cr.) The dissertation will be written on an original topic of research and presented as one of the final requirements for the PhD degree. The dissertation must be an original contribution to knowledge and of high scholarly merit. The candidate's research must reveal critical ability and powers of imagination and synthesis. The dissertation is written under the supervision of a research director and a research committee. The data used by the student may involve analysis of primary or secondary data.