Master of Arts in Educational Studies, Quantitative Research, Evaluation and Measurement
The master's program in Quantitative Research, Evaluation and Measurement is a two-year program designed to prepare you for a career as an educational researcher, statistician or evaluator. You'll develop the skills necessary to conduct educational research and evaluation and to communicate findings to various audiences and stakeholders.
The Quantitative Research, Evaluation and Measurement (QREM) program develops you as an expert in quantitative research design, educational statistics, and measurement.
It prepares you for careers in education, government, and business settings.
This applied program teaches students the critical skills needed for educational inquiry and quantitative techniques. Students in the program need strong analytical backgrounds, critical thinking and communication and writing skills.
Professionals who possess strengths to create, identify and evaluate tests, surveys and curriculum programs are in demand as education settings continue to rely on high-stakes testing.
The faculty keeps you, the student, as the focus of the QREM program, allowing you to make the program your own. And the tight-knit QREM community lets you get to know faculty and student colleagues on and off campus. Additionally, an active student organization that includes members from all over the world, plus several teaching opportunities for graduate students, makes for a well-rounded QREM educational experience.
Whether you are preparing for a career in K-12 education, higher education, government or the private sector, the master's program in Quantitative Research, Evaluation and Measurement gives you the in-depth knowledge and experience that will make you a desired professional in the field.
Graduates of the Master of Arts program go on to become educational statisticians or program evaluators.
Deadline to apply: December 1
Program start: Autumn semester
Prerequisites: Current GRE scores
Minimum semester hours to degree completion: 31
Coursework: Educational statistics, educational evaluation, educational measurement, data analysis
Degree requirements: Foundation requirement (3 hours), specialization courses (22 hours), research requirement (3 hours), diversity requirement (3 hours)
Academic opportunities: Methodological Colloquium
View the master's curriculum
Jerome D'Agostino, PhD, Professor
Dorinda Gallant, PhD, Associate Professor
P. Cristian Gugiu, PhD, Assistant Professor
Minjung Kim, PhD, Assistant Professor
Jessica Logan, PhD, Assistant Professor
Ann A. O'Connell, PhD, Professor
Program Chair/ Professor