Master of Science in Education (M.S.Ed.) in SMART

Part of the Human Development and Quantitative Methods Division

The Master of Science in Education (M.S.Ed.) program in Statistics, Measurement, Assessment, and Research Technology (SMART) is designed to prepare individuals for work in research and assessment organizations in the fields of education, psychology, and related human services. The program places high value on quality of evidence, statistical analysis, assessment, and psychometrics, as well as on the use of research technology in producing evidence to inform policy and practice. 



Fast Facts

 

  • Prerequisites: Introductory statistics
  • Qualifications: Interest in education research or related human services fields
  • Entry terms: Fall & Spring semesters
  • Course Requirements: 10 courses. 7 core QM courses, 2 electives, and 1 distribution course
  • Typical Course Load: Fall: 4 courses; Spring: 4 courses; Summer: 2 courses
  • Culminating Experience: A general examination

 

View Admissions Requirements

Overview

 

The SMART Master of Science in Education degree program is designed to prepare individuals for work in research and assessment organizations in the fields of education, psychology, and related human services fields. The program places high value on quality of evidence, statistical analysis, assessment, and psychometrics, as well as the use of research technology in producing evidence to inform policy and practice. The 10-course-unit minimum makes it possible to complete all degree requirements in 1 academic year or 1 academic year plus 1 summer session of full-time study. Part-time study is also an option. In addition to coursework and a written general examination, students in this degree program are strongly encouraged to undertake a research apprenticeship.

The program provides understanding and skills in data collection, management, and processing; measurement theory and test construction; survey design; design and execution of randomized controlled experiments and quasi-experiments; assessment strategies; and statistical analysis and reporting.

Graduates of the SMART program go on to become researchers and statistical analysts in organizations such as school districts, government agencies, research centers, educational testing companies, and educational research institutes.

Program of Study

Core Courses

 

  • EDUC 625 Data Processing and Analysis
  • EDUC 680 Evaluation of Policies, Programs, and Projects
  • EDUC 683 Survey Methods and Design
  • EDUC 684 Measurement and Assessment
  • EDUC 767 Regression and Analysis of Variance
  • EDUC 768 Measurement Theory and Test Construction
  • EDUC 829 Policy Research
  • One Distribution Course (outside of Quantitative Methods but within GSE)
  • 2 Elective Courses

To view all Penn GSE course offerings, click here.

Faculty

Michael J. Rovine, PhD., Senior Fellow


Herbert M. Turner, Ph.D.Adjunct Associate Professor


Timothy Victor, Ph.D., Adjunct Associate Professor



Contact

Quantitative Methods

University of Pennsylvania
Graduate School of Education

3700 Walnut Street
Philadelphia, PA 19104

Christine P. Lee
Program Manager
(215) 898-0505
cplee@gse.upenn.edu