The Clinical and Translational Science Institute and Department of Public Health Sciences are excited to announce that a new Certificate of Advanced Study in Biomedical Data Science (CAS-BDS) has received approval from the New York State Department of Education.
Enrollment is open and classes begin on Monday, June 29.
The program, centered around a two-semester analytic project, prepares researchers to conduct “big data” analytics for health services, clinical, and public health research. This program prepares researchers for careers in data analytics, data wrangling, and clinical and health services research using large complex datasets.
“We consulted with people from industry and in academia, and looked at the state-of-the-art in terms of what people were teaching,” said Tim Dye, Ph.D., director of biomedical informatics at the CTSI. “We created this Certificate specifically to fit with all that.”
The CAS-BDS is a stackable data analytic credential for researchers and analysts with biomedical, computer science, statistical, or health service backgrounds. The curriculum draws on a range of courses that cover the fundamentals of disease biology, health care systems, and big data management and analytics.
Coursework begins with an intensive summer session that will give researchers a solid background in data science, data management, human biology, and team science. About a half dozen courses are new, having been created specifically for CAS-BDS.
“It’s pretty intense — starting with a summer Boot Camp that begins next week,” said Dye, who worked with faculty in the Institute for Data Science and elsewhere to make sure the Certificate complements other university data science offerings. “But we thought all these topics were required to have a good foundation in data science applied to the biomedical area.”
Several possibilities exist for the two-semester mentored project, which can have a basis in basic science, clinical work, health services, population health, or other fields. Projects will include attention to specific aim formulation, background, analytic plan development, database creation, data analysis, and reporting.
For more information on the CAS-BDS, visit https://urmc.rochester.edu/biomedical-data-science.aspx or contact firstname.lastname@example.org.