Required Coursework

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The program requires a minimum of 30 credit hours, which are typically completed as ten 3-credit courses. Some, but not all, of the courses are offered in the evening. The curriculum of the Research, Measurement, and Evaluation M.S.Ed. program is structured around three components:

Required Coursework

24 credits, 8 courses of 3 credits each

EPS 700 Quantitative Methods I
EPS 701 Introduction to Research Methods
EPS 705 Measurement and Psychometric Theory
EPS 708 An Introduction to Structural Equation Modeling for Multivariable Data
EPS 702 Quantitative Methods II
EPS 703 Applied Multivariate Statistics
EPS 704 Computer Applications in Educational and Behavioral Science Research
EPS 709 Introduction to Multilevel Modeling

6 credits 

Some of the potential courses offered in the School of Education and Human Development for electives are the following:

  • EPS 699 Advanced Individual Study
  • EPS 706 Categorical Data Analysis
  • EPS 707 Item Response Theory
  • EPS 710 Meta-analytic methods for research synthesis.
  • EPS 711 Advanced Topics in Research, Measurement, and Evaluation
  • EPS 712 Field Experience in Educational Research
  • EPS 714 Qualitative Methods I
  • EPS 715 Qualitative Methods II: Case Studies and Grounded Theory
  • EPS 716 Qualitative Methods II: Interviews and Content Analysis

Students can also take any course of their interest from other departments and schools across the University after they discuss with their academic advisor. University of Miami provides a wide range of courses that is potentially interesting for RME students. The following list includes some of these courses

  • MAS 648: Machine Learning for Data Analytics I
  • MAS 651: Machine Learning for Data Analytics II
  • MAS 681: Statistical Machine Learning
  • MAS 640: Applied time Series Analysis and Forecasting
  • MAS 635: Design of Experiments
  • BST 640: Modern Numerical Multivariate Methods
  • BST 670: Bayes Data Analysis: Theory and Computing
  • BST 675: Intermediate Probability
  • BST 680: Advanced Statistical Theory

Each student must successfully pass a comprehensive exam that covers the selected content of your courses. This exam assesses the student’s competency in these core areas of research methodology and use of statistical software. Once you complete 24 credits in the program, you are responsible for talking to your academic advisor and scheduling the dates for comprehensive examination. Comprehensive examination consists of three sections that cover the following areas of the applied statistics and measurement:

  • Part I: Research Methods and Introduction to Statistics
  • Part II: Intermediate Statistics
  • Part III: Measurement and Advanced Statistics

Topic of advanced statistics can be chosen depending on your coursework upon a close consultation with your academic advisor.

Each of the RME faculty members will be responsible for creating questions and scoring your answers for specific section(s) of your comprehensive examination. Once you finalize your dates for the comprehensive examination, you can get specific information regarding format, content, and grading of each section by consulting with RME faculty members. The University policy states that the faculty decides if the student passes or fails. The faculty has the right to decide if a student who failed is allowed to retake the exam.

Within one month after your comprehensive examination, you will receive a mail that informs you of an outcome of your comprehensive examinations in the following categories:

  • Pass, which is defined as scoring B+ or greater on the examination.
  • Failure is defined as scoring below B+ on the examination

Fall Spring Summer
1st Year EPS 700
EPS 701
EPS 705
EPS 702
Elective
EPS 703
EPS 704
2nd Year EPS 708
EPS 709
Elective
Comprehensive