Work with world-class mentors to master education research and assessment techniques to improve policy and practice. 

The Quantitative Methods master's program is designed for professionals who have already earned a relevant master's degree and wish to advance their mastery of scale development and assessment, design of randomized field trials and experiments, multivariate statistical analysis, and the production of high-quality evidence for decision-making in public and organizational policy. Emphasis is placed on mentored research.

What Sets Us Apart

  This program qualifies for the STEM OPT extension for students on an F-1 visa
1:1 Benefit from low faculty-to-student ratio
  Be part of a vibrant Ivy League community of researchers and practitioners

About the Program

The principles and foundations learned in this program prepare students with tangible skills and methods needed to perform analysis and research all over the world. Additionally, this program offers excellent preparation for doctoral studies. 

Application deadline
Rolling admission
Entry term(s)
Fall
Course requirements
16 required courses (including up to four relevant graduate courses) that include 12 core QM courses and 4 elective courses
Typical course load

Fall: 3-4 courses; Spring: 3-4 courses; Fall: 3-4 courses; Spring: 3-4 courses

Culminating experienceA comprehensive examination

Schedule
  • Full-Time
  • Part-Time
Overview

Graduates of the Quantitative Methods program are prepared to...

  • Design, apply, and interpret measures of attitude, behavior, and other phenomena related to social science and education;
  • Validate, scale, and equate such measures;
  • Plan and conduct controlled field experiments;
  • Apply and interpret advanced univariate and multivariate statistics;
  • Evaluate programs and policies through quantitative studies; and 
  • Disseminate and interpret results for understanding and policy development.

Curriculum

The curriculum integrates research methods with policy content. In addition to developing expertise in advanced methods of research, students are required to take distribution courses in fields such as early childhood, reading, science education, education in developed and developing countries, and dropout and risk prevention. 

For information on courses and requirements, visit the Quantitative Methods M.Phil.Ed. program in the University Catalog.

Our Faculty

Penn GSE Faculty Robert F. Boruch
University Trustee Chair Professor of Education and Statistics
Ph.D., Iowa State University
Penn GSE Faculty Wendy Chan
Assistant Professor
Ph.D., Northwestern University
Penn GSE Faculty Paul Austin McDermott
Professor
Ph.D., Temple University
Penn GSE Faculty Michael Rovine
Senior Fellow
Ph.D., The Pennsylvania State University

Affiliated Faculty

Eric T. Bradlow
K.P. Chao Professor, The Wharton School
Ph.D., Harvard University

Timothy Victor  
Adjunct Associate Professor, Penn GSE 

Our Graduates

Alumni of the M.Phil.Ed. in Quantitative Methods program pursue careers in research and evaluation at state, federal, and international government agencies, as well as in school districts, for-profit or not-for-profit research firms, and NGOs.

 

Admissions & Financial Aid

Please visit our Admissions and Financial Aid pages for specific information on the application requirements, as well as information on tuition, fees, financial aid, scholarships, and fellowships.

Contact Information

Contact us if you have any questions about the program.

Office of Admissions and
Financial Aid

Graduate School of Education
University of Pennsylvania
3700 Walnut Street
Philadelphia, PA 19104
(215) 898-6415
admissions@gse.upenn.edu
finaid@gse.upenn.edu

Program Contact

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

Please view information from our Admissions and Financial Aid Office for specific information on the cost of this program.

Penn GSE is committed to making your graduate education affordable, and we offer generous scholarships, fellowships, and assistantships.