The curriculum of the M.S. Ed. in RME is structured around three components: (A) a core set of 24 credits (8 courses of 3 credits each) of required coursework covering the fundamentals of research design, measurement, and statistical analysis; (B) 6 credits of elective course-work; and (C) a comprehensive exam occurring upon the completion of the 24 credits of required coursework. The specific details of the curriculum are given below.

Curriculum Requirements

Core Courses24
Quantitative Methods I
Introduction to Research Methods
EPS 702
Applied Multivariate Statistics
EPS 704
EPS 705
CATEGORICAL DATA ANALYSIS
An Introduction to Structural Equation Modeling for Multivariable Data
Electives 1,26
Select two courses from the following for a total of 6 credit hours:
Advanced Individual Study
Item Response Theory
Introduction to Multilevel Modeling
Meta-analytic methods for research synthesis.
Advanced Topics In Research, Measurement, And Evaluation
Field Experience in Educational Research
Qualitative Methods I
Qualitative Methods II: Case Studies and Grounded Theory
Qualitative Methods II: Interviews and Content Analysis
Comprehensive Exam
Each student must successfully pass a comprehensive exam that covers the content of the core 24 credits. This exam assesses the student’s competency in these core areas of research methodology and use of statistical software, and is based on content that is aligned with the material covered in the core 24 credits.
Total Credit Hours30
1

Students work with faculty member(s) to select from a large number of graduate courses relevant to the students’ interests and professional goals. Appropriate courses may be related to advanced statistical modeling or other content areas. 

2

Upon the approval of your academic advisor, you can take the classes from other departments.