Master of Public Health
Return to AdmissionsFor more information on how to apply.
The Department of Biostatistics trains students to develop and apply statistical principles and methods to problems in health sciences, medicine, and biology. Biostatistics is one of the skills necessary for the development and practice of public health – the methods of this discipline are appropriate for quantifying the possible effects of risk factors and health interventions on individuals and groups. A graduate of the Biostatistics MPH program is able to specify and produce valid study designs, perform database management and produce working tables and statistical summaries, analyze data in terms of stated hypotheses, generate new hypotheses, and properly interpret study results.
The MPH degree in Biostatistics emphasizes application of biostatistics while the MS degree, now known as the MS in Public Health in the Biostatistics track, emphasizes the theoretical mastery of biostatistical skills. For more information on the MS program visit: http://publichealth.yale.edu/biostat/curriculum/ms/msindex.aspx#page1
Upon completing the core curriculum of the MPH program, the student will be able to:
- Demonstrate a knowledge base in the disciplines of biostatistics, chronic and infectious disease epidemiology, health systems, public policy, social and behavioral sciences, and environmental health.
- Apply basic research skills to specific public health problems in both group and individual settings, including the ability to define problems; construct, articulate and test hypotheses; draw conclusions; and communicate findings to a variety of audiences.
- Explain the interrelationships between a multitude of factors that can impact on a public health problem, including scientific, medical, environmental, cultural, social, behavioral, economic, political, and ethical factors.
- Review, critique, and evaluate public health reports and research articles.
- Apply public health concepts, principles, and methodologies obtained through formal course work to actual problems experienced in the community or work environment.
- Critically evaluate programs, interventions, and outcomes that relate to public health practice.
- Apply ethical standards and professional values as they relate to the practice of public health.
- Demonstrate sensitivity to the social context within which public health professionals practice.
Competencies - Biostatistics
Upon receiving an MPH degree with a concentration in Biostatistics, the student will be able to:
- Describe concepts of probability, random variation and commonly used statistical probability distributions.
- Develop an efficient design for collecting, recording, and storing data collected in the conduct of public health and medical research.
- Develop sample size and statistical power calculations for basic study designs including those utilized in clinical trials.
- Design efficient computer programs for study management, statistical analysis, as well as presentation using SAS and other programming languages. Produce edited data sets suitable for statistical analyses
- Apply informatic techniques with vital statistics and public health records in the description of public health characteristics and in public health research and evaluation.
- Perform analyses of stated hypotheses using a variety of analytical tools including analysis of variance, multiple regression, nonparametric statistics, logistic regression, multivariate analyses, and methods for analyzing rates and failure time data.
- Interpret results of statistical analyses and use these results to make relevant inferences from data.
- Produce working tables and statistical summaries describing research in health science.
- Develop written presentations based on statistical analyses for both public health professionals and educated lay audiences.
- Develop oral presentations based on statistical analyses for both public health professionals and educated lay audiences.
BIS 505a, Introduction to Statistical Thinking I
BIS 505b, Introduction to Statistical Thinking II
CDE 505a, Social and Behavioral Foundations of Health
CDE/EMD 508, Principles of Epidemiology I
EPH 100a, Professional Skills Seminar
EPH 515b, Introduction to Research and Professional Ethics Seminar
One of the following two:
EHS 510b, Introduction to Environmental Health
EHS 503a, Introduction to Toxicology
One of the following two:
HPM 510a, Introduction to Health Policy and Health Systems
HPM 560b, Health Economics and US Health Policy
To fulfill the Public Health Practice requirement, choose one of the following three:
EPH 542b, Practice-Based Community Health Research
EPH 500b, Public Health Practicum
EPH 520c, Summer Internship (Approval Required)
EPH 520c, Summer Internship (required whether or not used to fulfill the Public Health Practice Requirement)
BIS 525a and b, Seminar in Biostatistics
BIS 540a, Fundamentals of Clinical Trials
BIS 623a, Applied Regression Analysis
BIS 625a, Categorical Data Analysis
BIS 628b, Longitudinal and Multilevel Data Analysis
BIS 630b, Applied Survival Analysis
STA 541a, Probability Theory
STA 542b, Theory of Statistics
EPH 525, Thesis
More Information on MPH Internships
|Centers for Disease Control and Prevention||Influenza Division||US|
|National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH)||Biostatistics and Bioinformatics Branch (BBB)||US|
|Yale Center for Analytical Sciences||YSPH Biostatistics||US|
|Yale School of Public Health||US|
|World Health Organization (Western Pacific Region Office)||Non-communicable Diseases and Health Promotion||Philippines|
|Yale/YNHH Center for Outcomes Research and Evaluation (CORE)||US|
|General Electric Company||Environmental Health & Safety||US|
Recent thesis topics:
- Development of a Mathematical Model to Investigate the Epidemiological Impact of Human Hookworm Infection in Zanzibar
- Prevalence, Sample Size, and Power Investigation in Neoadjuvant Therapy for Breast Cancer Clinical Trials
- Trend in 30-Day Mortality of Acute Myocardial Infarction Patients, 2005-2010
- The Influence of Maternal Nutrition Intake on the Birth Weight of Newborns in Lanzhou, China</<li>Combining Ridge & Laplacian Shrinkage in Penalized Estimation
- Analysis of Longitudinal Data with Missing Data A Case Study
Samples of Positions at Graduation: 2013, 2012, 2011
- Yale University, PhD Student, New Haven, CT
- Epic, Project Manager/Implementation Consultant, Madison, WI
- UCLA, PhD Student, Los Angeles, CA
- Yale University, Statistician, New Haven, CT
- Globaldata, Epidemiologist, New York, NY
- Humana, Data Analyst, Louisville, KY
- Epic, Technical Services, Madison, WI