The Master’s in Education with a concentration in Educational Evaluation and Data Analysis (EEDA) prepares you to work in K-20 educational data settings such as program evaluation, assessment, and institutional research.

K-20 educational systems are awash in data from students, faculty, classrooms, and campuses. The EEDA concentration prepares you to approach questions about program evaluation, academic achievement, and institutional effectiveness by designing data analyses that meet the applied research need. Upon graduation, you will understand theory and methods, as well as possess practical experience and ethical awareness to meet the demands and challenges in educational settings.

Program Highlights
  • Designed for individuals and working professionals who want to make a difference in a K-20 educational setting.
  • You will be prepared for a career in which data and analytics are used to inform leadership about critical school and university topics, in roles such as K-12 assessment professionals, institutional researchers, data analysts, data managers, and education evaluators.

Program At a Glance

32 units

15 months (full time) 
2-3 years (part time)

Fall | Spring | Summer

MA in Education

Featured Courses

EDUC 470
Introduction to Education Evaluation Theory & Practice

Provides an overview of evaluation theory, methods, and practice, both historically and currently. By the end of the course, students will be able to either design a “Request for Proposals” for a program or policy evaluation, or design an evaluation of a particular program or policy.

EDUC 471
Quantitative Descriptive Data Analysis in Education

Introduces the knowledge, skills, and tools needed to conduct quantitative descriptive analysis in education, with an emphasis on applied analysis and intuition behind concepts, and less on formal mathematical/statistical theory.

EDUC 478
Introduction to Quantitative Research Methods

Provides a solid foundation for conducting quantitative research in education, including the statistical literacy needed to understand much of the published research in journals.

EDUC 447
Design and Life Cycle of a Survey Project

Demonstrates how to use the survey life cycle approach to create project plans that align with the initial purpose and future reuse of data from design strength, collection, and analysis lessons learned.

EDUC 448
Introduction to Data System Management & Governance

Explores the aspects to strengthen and enhance educational system data in short- and long-term topics through leading data management and governance efforts in security, compliance, data storage, and technologies.

EDUC 449
Clinical Practicum Project for EEDA Students

Involves the creation and completion of a quantitative or mixed methods project that displays the EEDA student’s skills, knowledge, and experience in education evaluation and data analysis.

Faculty & Research

  • Gwen Garrison profile image

    Gwen Garrison

    Associate Professor of Education
    Director of Educational Evaluation and Data Analysis

    Research Interests

    Organizational effectiveness, diversity and inclusion

  • David Drew profile image

    David Drew

    Professor of Education
    Joseph B. Platt Chair in the Management of Technology

    Research Interests

    STEM education, data science, model building, technology development and management

Request information about the Educational Evaluation & Data Analysis program

  • This field is for validation purposes and should be left unchanged.

Aliana Guzman

Assistant Director of Admissions
T: 909-607-0769 (Direct)
T: 909-607-7811 (Central Admissions)