Quantitative Analytics in Education and the Social Sciences: M.Ed. - Master of Education
Preparing students for research roles as applied data scientists in settings that involve working with large data sets to address questions of substantive importance.
At a Glance
M.Ed. - Master of Education
Quantitative Analytics in Education and the Social Sciences
Work in school systems, state education departments, testing companies, state and federal governments, private companies, and other organizations in which data analytics play a role.
Best Suited To
- Undergraduates or recent graduates looking to pursue more advanced training through completion of a graduate degree in research methodology, or seeking employment in the field of data analytics.
- Existing professionals looking to complement their existing work.
- Full Time
- Part Time
Fall entry (full-time or part-time):
- March 1 (priority deadline)
- July 1 (final deadline)
Spring entry (part-time only): November 1
About This Program
- The M.Ed. in Quantitative Analytics and the Social Sciences 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.
- Graduates have been employed in school systems, state education departments, testing companies, research centers, and community colleges; and have been accepted into competitive doctoral programs.
- Components of the M.Ed. program include courses that focus on the fundamentals of research design and data analytics. The program also includes elective courses that allow students to acquire a deeper understanding of, and expertise in, specialized methods of inquiry and analytic tools.
- The program is designed for full-time students to be able to complete the program in one calendar year. Part-time opportunity also available.
Students in the program will gain proficiency in:
- managing and analyzing data,
- constructing and interpreting research reports,
- developing an understanding of measurement, survey, and research design, and
- communicating analytic results and interpretations to broad audiences.