Quantitative Ecology & Resource Management (QERM) is a unique interdisciplinary graduate program designed for students interested in applying quantitative tools to ecological and resource management issues. Students receive intensive training in the application of statistical, mathematical, and decision sciences to terrestrial and aquatic ecology, natural resource management, biometrics, and mathematical biology. Check out the QERM network visualization to see how student work (both current and alumni) spans ecosystems, quantitative methods, and organizational boundaries.
Both the Master of Science and Doctor of Philosophy degrees are offered, producing graduates who are capable of continuing with the development and extension of biometrical and biomathematical modeling as they enter the educational, research or private sector work force.
Faculty & ResearchThe University of Washington is a major research institution that offers exceptional scholarly resources. QERM has an interdisciplinary faculty, drawn from academic programs across the university - statistics, applied mathematics, environmental and forest sciences, biology, aquatic and fishery sciences, oceanography, marine and environmental affairs, anthropology, sociology, and others. As a result, students have access to diverse research opportunities and partnerships with many private and public sector agencies dedicated to the promotion of natural resource management.
Career PathsBecause of the unique and intensive training that QERM students receive, graduates are highly sought after for quantitative science positions. QERM graduates currently enjoy a 100% job placement rate in academia, public agencies, and private consulting firms.
FundingThe QERM program provides entering students with a support package that includes a tuition waiver, stipend for living expenses, and health insurance. After the first year of study, students receive funding through fellowships, research, or teaching assistantships.
AdmissionsVisit our admissions page for more information on application requirements and procedure.
Application Deadline: December 15