Master of Science in Education

SMART

Part of the Human Development and Quantitative Methods Division

The SMART Master of Science in Education degree program is designed to prepare individuals for work in research and assessment organizations that place high value on quality of evidence, statistical analysis, assessment, and psychometrics, as well as the use of technology in producing evidence and informing policy. 

 

Fast Facts

 

  • Prerequisites: Relevant academic background and introductory statistics
  • Entry terms: Fall & Spring
  • 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 exam

 

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 that place high value on quality of evidence, statistical analysis, assessment, and psychometrics, as well as the use of technology in producing evidence and informing policy. 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; assessment strategies; and statistical analysis and reporting.

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., Adjunct Professor


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