The UW COE Measurement & Statistics (M&S) graduate program, which began in the late 1960s, prepares students to become leaders in the research and practice of cutting-edge psychometrics and applied statistical modeling. Our collective expertise focuses on latent variable models and related quantitative methods, with a common mission to improve educational equity and quality.

Master's Program

Core master's degree coursework focuses on the following interrelated areas:

  • Developing, adapting, and refining high-quality surveys, assessments, and observational tools
  • Planning and implementing creative experimental and correlational research design solutions
  • Analyzing complex, real-world data with sophisticated statistical models

Students in our master's program come from diverse academic backgrounds, including economics, education, engineering, math, psychology, sociology, statistics, and more – and with a range of incoming professional experiences, from early career to advanced. Importantly, the master's program is designed with flexibility for working professionals in mind; both part- and full-time options are available, and full-time students graduate in two years or less. After graduation, our master's students work in an array of settings, including school districts, state governments, universities, nonprofit community-based organizations, as well as in the private sector, as analysts, test/instrument developers, administrators, and program evaluators.

Before applying, we encourage you to carefully review the Program Requirements for details about all components of the M.Ed. course of study and reach out to the office of student services with questions. Students in our program must also follow the Degree Requirements of the Graduate School; among these are that a course of study should include at least 18 credits at the 500 level or above, as well as 18 graded credits.

Doctoral Program

In addition to the areas described above, doctoral students delve more deeply into theoretical and scholarly work that is tailored to their interests, typically in one or more of the following interrelated areas:

  • Techniques for investigating novel and existing quantitative methods, including Monte Carlo simulation
  • Validity theory and application, such as concept mapping and linking item features to social cognition processes
  • Item response theory models, such as multidimensional IRT, cognitive diagnostic, and computerized adaptive testing
  • Structural equation models, such as mediation, longitudinal, mixture, and multilevel
  • Network measurement and analysis, including the exponential random graph model family
  • Experimental design and analysis, including cluster randomized, multi-cohort, sequential, and adaptive

Ph.D. students have specific requirements and milestones that can be viewed here. We do require that incoming doctoral students already have a master's degree in a relevant quantitative-related field prior to enrolling in the M&S doctoral program, and upon enrolling, students usually take between 3-5 years to complete their degree. Additionally, students from non-educational backgrounds are required to take foundational courses in education. Before applying, we encourage students to email the M&S faculty member they are most closely interested in working with to set up a brief online appointment for Q&A. When ready, students should apply here to the College of Education’s Ph.D. program. Note: Current M&S master's students who wish to apply to the doctoral program should speak with their advisor first, and apply using a modified “Petition-Application". Applications and petitions are due in December and decisions are made by March. Please check the college website for specific deadlines.

This program does not lead to state teaching certification.