For more information and to apply to the MS program, visit the Yale Graduate School of Arts and Sciences website. Please choose "Public Health" as the program. Then select Biostatistics as the concentration. Do not try to use SOPHAS.
The science of health informatics drives innovation-defining future approaches to information and knowledge management in biomedical research, clinical care, and public health. Health informatics (HI) comprises applied research and the practice of informatics across clinical and public health domains. Informatics researchers develop, introduce, and evaluate new biomedically motivated methods in areas as diverse as data mining, natural language or text processing, cognitive science, human-computer interaction, decision support, databases and algorithms for analyzing large amounts of data generated in public health, clinical research and genomics/proteomics.
The MS degree will provide well-rounded training in Health Informatics, with a balance of core courses from such areas as information sciences, clinical informatics, clinical research informatics, consumer health and population health informatics, data science and more broadly health policy, social and behavioral science, biostatistics and epidemiology. The length of study for the MS in HI is two academic years. First-year courses survey the field; the typical second-year courses are more technical and put greater emphasis on mastering the skills in health informatics. The degree also requires a capstone project in the second year.
Applicants should typically have an undergraduate degree with a focus in health, computer science and mathematics/statistics. Students with a master’s degree or other related degrees may be allowed to enroll in additional elective courses in lieu of required courses, if they can demonstrate prior proficiency in required courses.
The M.S. degree requires a total of 14 course units. The M.S in Health Informatics requires the student to complete or acquire an exemption from the following courses. Full time students must carry a minimum of 4 course units each semester. If a course is waived, a substitute course must be identified.
MS Required Courses (10 course units)
|BIS 633||Population and Public Health Informatics||1||Fall||Yr1|
|BIS 634||Computational Methods for Informatics||1||Fall||Yr1|
|CBB 740||Clinical and Translational Informatics||1||Fall||Yr1|
|CBB 750||Core Topics in Biomedical Informatics||1||Spring||Yr1|
|EPH 508||Foundations of Epidemiology and Public Health||1||Fall||Yr1|
|EPH 608||Frontiers of Public Health *||1||Fall or Spring||Yr1 (Offered both terms – pick one)|
|BIS TBD||Clinical Database Management Systems||1||Fall||Yr2|
|BIS TBD||Clinical Decision Support||1||Spring||Yr2|
|EPH 600||Research Ethics and Responsibilities||0||Fall||Yr 1|
|BIS TBD||Capstone I and II||2||Fall & Spring||Yr2
Must take both terms
MS Electives in Informatics, Statistics and Data Science (4 course units)Four of the following:
|S&DS 565||Applied Data Mining and Machine Learning||1||Fall or Spring|
|BIS 540||Fundamentals of Clinical Trials||1||Fall|
|BIS 557||Computational Statistics||1||Fall|
|BIS 623||Advanced Regression Models||1||Fall|
|BIS 625||Categorical Data Analysis||1||Spring|
|BIS 643||Theory of survival Analysis||1||Spring|
|BIS 679||Advanced Statistical Programming in SAS and R||1||Fall|
|CB&B 645||Statistical Methods in Computational Biology||1||Spring|
|CPSC 477||Natural Language Processing||1||Spring|
|EMD 533||Implementation Science||1||Fall|
|EPH 510||Health Policy and Health Care Systems||1||Fall|
|HPM 560||Health Economics and U.S. Health Policy||1||Spring|
|HPM 570||Cost-Effectiveness Analysis and Decision-Making||1||Fall|
|IMED 625||Principles of Clinical Research||1||Fall|
|NURS 922||Introduction to Clinical Research Informatics||1||Fall|
|MGT 534||Personal Leadership: Leading the Self Before Others||1||Spring|
|MGT 656||Managing Software Development||1||Fall|
*Students entering the program with an MPH or relevant graduate degree may be exempt from this requirement.
Upon receiving an M.S. in the Health Informatics track of Public Health, the student will be able to:
- Select informatics methods appropriate for a given public health context
- Compare the health information system structure and function across regional national and international settings
- Assess population informatics needs, assets and capacities that affect communities’ health
- Propose strategies to identify stakeholders and build coalitions and partnerships for influencing public health informatics
- Communicate audience-appropriate public health content, both in writing and through oral presentation
- Apply systems thinking tools to a public health informatics issue
Students in the MS program file their applications and financial aid materials through the Graduate School.
MS students are allowed to serve as Teaching Fellows or Research Assistants. Teaching Fellowships are generally available to MS students in Public Health in the second year after they have taken classes and become familiar with the Public Health coursework. However, it is possible to obtain a Teaching Fellowship in a department outside of Public Health. Many first year MS students have found Teaching Fellowships in language departments or the Math department. Research Assistant positions are also available on a part time basis. Faculty in the Yale School of Public Health and related departments are generally familiar with various research projects that are in need of a research assistant. We suggest you begin your search for a research assistant position by asking your faculty advisor for suggestions. There are also many positions posted on the Student Employment website.