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Jun 09, 2026
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Graduate Record 2026-2027
Quantitative Analytics in Education and the Social Sciences, M.Ed.
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Return to: School of Education and Human Development: Degree Programs
The purpose of the M.Ed. in Quantitative Analytics is to prepare students to use rigorous data analysis to inform and improve research, management, and policy decisions in education and the social sciences.
The program prepares students for research roles as applied data scientists in settings that involve working with large data sets to address questions of substantive importance. Students in the program will gain proficiency in: (1) quantitative methods and applied statistics, (2) managing and analyzing data, (3) developing an understanding of measurement, survey, and research design, and (4) communicating analytic results and interpretations to broad audiences. Students will gain proficiency in these areas through course-based applications of these tools to actual research problems in education and the social sciences.
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Prerequisite Requirement
The curriculum is designed to provide students with a core foundation in advanced quantitative research and analysis in education and the social sciences. Students are expected to have completed an introductory course in statistics before beginning the program. Examples include EDLF 2080 - Fundamentals of Health and Social Sciences Statistics or EDLF 5330 - Quantitative Methods and Data Analysis I or a similar course taken elsewhere. Program Requirements
Full-time students entering the program who have already taken an introductory course in statistics may complete the program in two semesters if the capstone is completed in the spring semester. Alternatively, studetns may complete the program in the trailing summer if the capstone or internship is completed during that time. Core Coursework: 12 credits
Advanced Modeling: 6-9 credits
Methodological Electives: 6-9 credits
Capstone Experience/Research Internship: 3 credits
Description of Capstone Experience
Option 1: The QAE capstone project involves the generation of a literature review/thesis on a methodological topic in the social sciences. It provides an opportunity for you to develop or enhance your understanding of a topic that ou would like to become more familiar with as it has been developed in the methodological literature and used in the applied literature. Option 2:The student will obtain an internship with an organization in which they can obtain practical experience in data analytics. A written agreement between the student, the advisor, and the sponsoring organization must be in place prior to beginning the internship experience. This agreement will document the relevance of the experience to data analytics and must be approved by all parties. Total Required Credits: 30
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