Quantitative Ecology and Resource Management (QERM) at the University of Washington trains students to use statistics, mathematics, and decision science to solve ecological and natural resource challenges. The program supports research across terrestrial and aquatic systems, including biometrics and mathematical biology.
The Quantitative Ecology and Resource Management (QERM) program at the University of Washington is designed to equip students with the skills necessary to tackle ecological and natural resource challenges through the application of statistics, mathematics, and decision science. This interdisciplinary program emphasizes research across both terrestrial and aquatic systems, integrating biometrics and mathematical biology into its core curriculum.
Research-led training
Interdisciplinary faculty and mentoring
Typical academic components
PhD pathway
Ideal candidates possess a strong foundation in probability, mathematical statistics, linear algebra, and differential equations. Those with a limited background in statistics may need to undertake additional preparatory courses. A minimum GPA of 3.0 is required for the most recent 60 semester or 90 quarter credits of study. GRE scores are not required for application.
Graduates of the QERM program are well-prepared for a variety of career paths in academia, research institutions, government agencies, and non-profit organizations. They can pursue roles in ecological modeling, resource management, environmental consulting, and policy development, making significant contributions to the stewardship of natural resources and the sustainability of ecosystems.
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