Program Overview

The Statistics, Measurement, and Evaluation in Education program offers several courses in applied statistics, from the quantitative foundations of educational research to advanced methods such as multivariate statistics, multilevel modeling, and latent variable modeling. We also offer a number of courses in educational measurement, covering topics such as in classical test theory, item response theory, and generalizability theory. In addition, our students have the opportunity to take a wide range of advanced statistics and quantitative methods courses, from probability, sampling methodology, and categorical data analysis to stochastic theory, time series analysis, Bayesian statistics, and other cutting-edge quantitative techniques. We train our students in various statistical software programs including SPSS, SAS, R, Mplus, Amos, HLM, and BILOG-MG. Our students also take courses in learning theories, aspects of human development, and program evaluation.

See course descriptions in the course catalog or our Program Planner for more information.


For Fall 2021 applicants, the department has decided to temporarily suspend the requirement of the Graduate Record Examination (GRE).

Applicants are required to meet two sets of minimum qualifications for admission:

How to Apply

Submit the following documents using the MU Office of Graduate Studies application by Jan. 15 for the next fall cohort.

  • Three letters of recommendation
  • Curriculum Vita
  • Official academic transcripts of all previous undergraduate and graduate work
    • Minimum undergraduate GPA of 3.0 from an accredited institution in psychology, education, statistics, or a related major.
  • Statement of purpose addressing the following:
    • Describe (1) your research interests that you hope to pursue in graduate school, (2) your career objectives, and (3) how being accepted into MU’s program will benefit your career aspirations.
    • Describe interests or experience in designing empirical studies and/or analyzing empirical data. (500 words max.)
    • Describe interest or experiences that demonstrate your potential in applied, theoretical, and/or computational statistics, that you believe distinguish you as a candidate for graduate study. (250 words max.)
  • TOEFL for international students (preferred score of 580 for paper test, 92 iBT, IELTS 7 or higher).
    • Institution code is 6875.