Best Epidemiology Masters Programs in Pennsylvania

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

EPID 656 Research Methods in Infectious Diseases Epidemiology.

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

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

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

Public health course exemption (for departmental core courses).

Seminars Events Epidemiology Department Events Epi Journal Clubs Epi Seminars Epi Student Liaison Committee Sutton-Tyrrell Lecture.

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Graduates of the MS in Epidemiology have a solid understanding of epidemiologic principles and methods, and the demonstrated ability and capacity to that understanding and skill to solve complex health problems.

The curriculum and project requirements are designed to provide, and then to demonstrate, the ability to effectively engage in and report research. This includes the development of appropriate research questions and aims, the design and conduct of epidemiologic studies, and the appropriate analysis, interpretation and presentation of research data. Upon graduation, MS students will have attained competencies in two areas: general epidemiology knowledge and skills, and epidemiologic research methods. MS students will be prepared to work in applied epidemiologic and health research field, or pursue doctoral training in Epidemiology.

The Bureau of Labor Statistics projects a 6% increase in the job market for masters-trained epidemiologists. The average salary for epidemiologists in 2016 was $70,820 per year. information regarding the projected outlook and salary for epidemiologists can be found on the Bureau of Labor Statistics' website.

The Department has a robust research portfolio focusing on a range of areas including social inequalities in health, neighborhood differences in health, chronic and infectious disease epidemiology, lifecourse epidemiology, aging, nutrition, physical activity and obesity, clinical research, analytical methods for longitudinal and spatial data, and complex systems approaches to population health. This research activity provides and enhances the training opportunities and educational environment for the MS in Epidemiology students.

Applicants to the MS Epidemiology program must possess a baccalaureate degree, two semesters of college math and at least one course of college biologic science (e.g. biology, microbiology, physiology, genetics).

The 45 total credit hour requirement is distributed as 27 credits in Year 1 and 18 credits in Year 2. There are 24 credits of required courses, 15 credits of electives and 6 additional credits for the masters research project.

Image of percent of Masters students receive scholarships.

Historically, than 68% of students in the full-time masters programs receive some type of scholarship funding.

With a Master of Science (MS) degree in Epidemiology, graduates are prepared for careers in disease surveillance and outbreak investigations, research into the biological, environmental, social, and behavioral factors in human health, and designing disease prevention and control programs. View Curriculum.

The MS in Epidemiology degree at Temple University gives student in-depth training and research opportunities in two major areas of the discipline:.

Descriptive Epidemiology: surveillance and monitoring of outbreaks, including case identification, description of disease populations affected (prevalence), and rates of occurrence (incidence). The knowledge obtained from these descriptive studies may form the basis for disease prevention and control programs or lead to subsequent analytical, hypothesis-driven studies.

Analytic Epidemiology: development and evaluation of research hypotheses concerning the effects of risk factors (genetic, behavioral, environmental, and health care) on human health. Analytic studies are the basis for our understanding of health risks and this knowledge may contribute to many research and prevention programs.

Since epidemiology is the principal science underlying disease prevention and control programs, this training is also a basic component for other degrees and programs in public health and preventive medicine.

The program offers many graduate level courses in applied quantitative biostatistics and topics such as environmental epidemiology, infectious epidemiology, HIV AIDS epidemiology, mental health epidemiology, social epidemiology, maternal and child epidemiology. Students may complete the program on a full time or part time schedule and the Program is designed to accommodate working professionals.

The MS in Epidemiology degree requires 30 credits of course work, plus completion of a six-credit Master’s thesis (for a total degree requirement of 36 credits). The MS degree can be completed in two academic years by full-time students and in three academic years by part-time students. Students will be granted up to six credits of advanced standing credit for course work completed through the CDC or a CEPH accredited public health program, some of which are offered as intensive summer courses.