The practice of clinical care and biomedical investigation each constitute complex enterprises that are increasingly dependent on the mastery of enormous data streams. The national Precision Medicine initiative recognizes the urgency of leveraging the enormous advances in genomic science, the near ubiquity of health information technology, and new methods for managing and analyzing large data sets in order to accelerate biomedical discovery and improve the delivery of health care.

The data now available and relevant to researchers, healthcare providers, and patients themselves include genomic data, data stored in the electronic health record, measurements from the environment, consumer-driven “quantified self” data, and the social web, among other sources of data. There have been successes in mining this wealth of information. However, most clinicians, researchers, and patients find themselves overwhelmed by these data or unaware of their import.

It is widely acknowledged that there are not enough qualified individuals to meet the demands of the current biomedical research and practice environment. There is a crucial, and currently largely unmet, need for trained individuals who are able to integrate, interpret, and act upon the large-scale, high-throughput, and complex data that are generated in the course of biomedical research and the practice of medicine.

As such, our primary goal in offering this Master of Biomedical Informatics degree is to contribute to the cadre of highly trained independent and successful researchers in the field of biomedical informatics. Our goal is to equip our students with the knowledge, skills, and experiences needed to engage meaningfully in this field.

Students who participate in the Master of Biomedical Informatics program will complete a final culminating capstone research project. If a student is not already active in a lab, they will be matched to a laboratory as soon as their research interests develop.