We are now accepting students for 2020-21! Deadline to apply January 3, 2021.
Why earn a graduate degree in quantitative research methods in education?
Our PhD program in quantitative research methods in education (QRME) develops researchers, scholars, and policy leaders who engage in traditions of inquiry that create knowledge and understanding founded in empirical evidence.
The program focuses on:
- Building a strong understanding of quantitative methods in research
- Studying causal and complex relationships within applied educational, social, and institutional settings
- Using research to inform policy and practice in applied educational and social settings
Ideal QRME PhD students:
- Understand the importance of evidence and data in making decisions
- Take an interdisciplinary and systems-level perspective to problems in education
- Value the union of rigorous research methodology with strong grounding in theory and practice
The quantitative research methods in education program offers the following degree options:
What can I do with a degree in quantitative research methods in education?
Quantitative research methods in education PhD graduates pursue careers in:
- Academic institutions
- Research and evaluation centers
- Policy institutes
- Applied settings including state departments of education and school districts
Enroll in the NEW Data Science Specialization for Education and Social Systems Leaders
Become a “big data” leader who has the skills to use data to guide decision making. Data-informed decision-making is now the new minimum standard of practice in many fields, including education and social systems.
A five-course Data Science Specialization in Educational Leadership is available now in the Department of Educational Methodology, Policy, and Leadership (EMPL) at the University of Oregon. Contact Dr. Kathleen Scalise (email@example.com) or Dr. Gerald Tindal (firstname.lastname@example.org) for information about how the Data Science Specialization can be become a emphasis area of a doctoral or master’s degree in EMPL.
Social Systems Data Science
Our Social Systems Data Science (SDS) Network is dedicated to accelerating data-driven research and outreach efforts in the educational, behavioral, and social sciences.
Professor Kathleen Scalise, PhD
Student Services Coordinator