Zika. MERS. Ebola. Measles.
With new infectious diseases emerging and older diseases re-emerging, the Yale School of Public Health is launching a new one-year Master of Science program with a concentration in the epidemiology of infectious diseases to train analysts and clinicians to fight these threats.
The MS program is now accepting applications for the 2020-21 academic year and will focus on building technical and research skills and knowledge and is intended for people seeking careers in research in academic, government or industry settings or clinicians who want to perform research.
In contrast to the existing Masters in Public Health (MPH) program, the MS is more focused on applied analytic and epidemiologic methods and provides opportunities for more advanced coursework in these areas. Additionally, the MS program can be completed in one year or, on a part-time basis, in two years.
The program will provide a transformative opportunity for individuals to gain key technical training that can be used to fight emerging and existing infectious disease threats. It will offer two specializations: one focused on quantitative skills and another targeted to clinicians seeking formal research training.
This new program will help to train the next generation of analysts and clinicians in cutting-edge research methodology for infectious diseases.
Luke Davis, Daniel Weinberger
“There is a growing need for individuals that have strong quantitative and research training in public health, and this new program will help to train the next generation of analysts and clinicians in cutting-edge research methodology for infectious diseases,” said Daniel Weinberger, Ph.D., and Luke Davis, M.D., associate professors at the school who will be leading the program.
The Department of Epidemiology of Microbial Diseases is one of the only public health departments in the world focused solely on the epidemiology of infectious diseases, and features a diverse and complementary group of faculty performing research in laboratory, field and computational research in the United States and in more than two dozen countries on five continents.
The department has particular strengths in mathematical modeling and data analysis, implementation research, field epidemiology and translational research that combines laboratory science with epidemiologic data.