Quantitative Methodology: Measurement and Statistics (QMMS)
Graduate Degree Program
College: Education
ABSTRACT
Quantitative Methodology: Measurement and Statistics (QMMS) offers graduate study leading to the Master of Science (M.S.) or Doctor of Philosophy (Ph.D.) degrees for students with strong interests in quantitative research methods and their applications. Students pursuing Doctoral degrees in other programs may enroll in a dual degree program leading to the Master's degree in QMMS, or there is also a 21-credit QMMS certificate program for doctoral students. For select undergraduates, there is also a five-year Bachelor's/Master's program in QMMS.
FINANCIAL ASSISTANCE
Graduate teaching assistantships, research assistantships, and fellowships may be available. The Department can assist students in locating part-time employment opportunities, both on and off campus, although these are not guaranteed.
Students who do not receive a fellowship or assistantship from the Department may contact the Office of Student Financial Aid for information about other sources of financial support.
CONTACT
Department of Human Development and Quantitative Methodology
3304 Benjamin Building
3942 Campus Drive
University of Maryland
College Park, MD 20742
Telephone: 301.405.8432
Email: hdqm-gradinfo@umd.edu
Website: education.umd.edu/academics/departments/hdqm/qmms
Courses: QMMS
GENERAL REQUIREMENTS
- Statement of Purpose & Personal Experience Questions in the Application System
- Transcript(s)
- TOEFL/IELTS/PTE (international graduate students)
PROGRAM-SPECIFIC REQUIREMENTS
- Letters of Recommendation (3)
- Graduate Record Examination (GRE) is required for doctoral program and optional for masters program
- CV/Resume
- Writing Sample
In addition to Graduate School requirements, admission decisions are based on the quality of previous undergraduate and graduate work, strength of letters of recommendation from persons competent to judge the applicant's likelihood of success in graduate school, scores on the Graduate Record Examination, and the applicant's statement of academic and career objectives in relation to the program of study to be pursued. Students who seek admission should display strong evidence of aptitude and interest in quantitative methods. Programs of study may be designed to meet the individual needs of both full-time and part-time students since many courses are offered in the late afternoon or evening.
APPLICATION DEADLINES*
| Type of Applicant | Fall Deadline | Spring Deadline | Summer Deadline |
|---|---|---|---|
| Domestic Applicants | |||
| US Citizens and Permanent Residents | December 3, 2025 | September 26, 2025 | N/A |
| International Applicants | |||
| F (student) or J (exchange visitor) visas; A, E, G, H, I and L visas and immigrants | December 3, 2025 | September 26, 2025 | N/A |
*Complete applications may be reviewed prior to the deadline.
RESOURCES AND LINKS:
Program Website: education.umd.edu/quantitative-methodology-measurement-and-statistics-program
Application Process: gradschool.umd.edu/admissions/application-process
The Department maintains computer equipment and a high performance server with up-to-date statistical software packages. Students can also access the campus high performing computer cluster. The faculty are actively engaged in a large variety of basic and applied research projects and students are encouraged to become involved in these activities. The Washington and Baltimore areas have numerous organizations that provide opportunities to become involved in projects that have national importance.
| Last Name | First/Middle Name | Graduate Faculty Status | Academic Credentials | Positions |
|---|---|---|---|---|
| Hancock | Gregory R. | Full Member | B.S., University of Washington, 1986; B.S., 1986; Secondary Teaching Certificate, 1987; M.Ed., 1989; Ph.D., 1991. | Professor, Measurement, Statistics and Evaluation |
| Harring | Jeffrey R. | Full Member | B.A., Macalester College, 1986; M.S., University of Minnesota-Twin Cities, 2004; Ph.D., University of Minnesota-Twin Cities, 2005. | Professor, Measurement, Statistics and Evaluation |
| Jiao | Hong | Full Member | B.S., Shanghai Jiaotong University, 1989; M.A., Shanghai Jiaotong University, 1992; Ph.D., Florida State University, 2003. | Professor, Measurement, Statistics and Evaluation |
| Lissitz | Robert W. | Full Member | B.A., Northwestern University,1963; Ph.D., Syracuse University, 1969. | Professor Emeritus, Measurement, Statistics and Evaluation Affiliate Professor, Second Language Acquisition |
| Liu | Yang | Full Member | B.S. Psychology, Peking University; M.A. Psychology, University of North Carolina, Chapel Hill; M.S. Statistics, University of North Carolina, Chapel Hill; Ph.D. Psychology, University of North Carolina, Chapel Hill | Associate Professor, Measurement, Statistics and Evaluation |
| Stapleton | Laura | Full Member | B.A., University of Michigan, 1988; M.Ed., George Mason University, 1992; Ph.D., University of Maryland - College Park, 2001. | Professor, Measurement, Statistics and Evaluation |
| Steiner | Peter | Full Member | M.Sc. Economics, University of Vienna; M.Sc. Statistics, University of Vienna; Ph.D. Statistics, University of Vienna | Professor, Measurement, Statistics and Evaluation |
| Sweet | Tracy Morrison | Full Member | B.S. Biology, Bucknell University, May 2000; M.A. Mathematics, Morgan State University, December 2007; M.S. Statistics, Carnegie Mellon University, May 2008; Ph.D. Statistics, Carnegie Mellon University, July 2012. | Associate Professor, Measurement, Statistics and Evaluation |
| Yang | Ji Seung | Full Member | B.A., Yonsei University, Seoul, Korea, 2005; M.A., Yonsei University, Seoul, Korea, 2007; Ph.D., University of California, Los Angeles,Department of Education, Graduate School of Education and Information Studies, 2012. | Associate Professor, Measurement, Statistics and Evaluation |