Master's in Evaluation & Applied Research Online

Curriculum

The Online Master's in Evaluation and Applied Research curriculum, taught by CGU faculty from the renowned Claremont Evaluation Center, enables students to develop sound research methodology to analyze data and conduct research.

Sample Course Schedule

(based on part-time schedule of 2 courses per semester)

SEMESTER 1

  • EVAL 310 Theory-driven Evaluation Science
  • EVAL 315 Evaluation & Applied Research Methods: A Survey of Quantitative and Qualitative Approaches

SEMESTER 2

  • EVAL 320 Quantitative Analysis & Statistics for Evaluation & Applied Research
  • EVAL 325 Qualitative Analysis & Statistics for Evaluation & Applied Research

SEMESTER 3

  • EVAL 330 Mixed Methods in Evaluation & Applied Research
  • EVAL 385 Evaluation & Applied Research Practicum

SEMESTER 4

  • EVAL 380 Directed Specialization
  • EVAL 350 Elective/Specialization (Option #1: Global Health Evaluation and Applied Research) or EVAL 365 Elective/Specialization (Option #2: Educational Evaluation and Applied Research)

Featured Courses


Theory-driven Evaluation Science
EVAL 310

This course provides an in-depth understanding of theory-driven evaluation science, with special emphasis on the foundations of evaluation theory and practice; how to use evaluation, program, and social science theory to improve evaluation practice; how to engage diverse stakeholders in the process of developing logic models and theories of change; and how to design comprehensive, tailored, ethically defensible, and culturally responsive theory-driven evaluations.

Evaluation & Applied Research Methods: A Survey of Quantitative and Qualitative Approaches
EVAL 315

This survey course provides an overview of quantitative and qualitative evaluation methods, research and evaluation design, and applied social science research topics such as sampling, measurement, validity, reliability, and related threats. The course also explores specific data collection strategies, meta-evaluation, communication, and reporting findings.