Quantitative Methodology: Measurement and Statistics, Master of Science (M.S.): Program Admissions

The Quantitative Methodology: Measurement and Statistics M.S. program is designed to provide balanced intermediate level graduate training in quantitative methods for students preparing for a variety of positions in government, educational institutions, and private industry. Proximity to Washington, D.C., provides opportunities for students to engage in a variety of academic and professional experiences.

Admissions Deadlines

September 29, 2023 (Spring 2024 International, Domestic) 

December 1, 2023 (Fall 2024 International, Domestic) 

** For consideration of funding, please submit your application by the Fall preferred deadline.
 

Fifth Year Bachelor's/Master's Program

The Quantitative Methodology: Measurement and Statistics program offers a 5th Year M.S. program for undergraduates interested in quantitative methods. This allows highly motivated undergraduates the chance to develop their skills in quantitative methods and complete both the bachelor's and master's degrees in approximately 5 years. This degree prepares one for careers that include statistical data analysis, developing survey and testing instruments, designing research studies, performing quantitative analysis, evaluating educational programs, psychometric analysis of assessment results, conducting marketing studies, and conducting surveys.

Almost any undergraduate major would be appropriate for this program, including psychology, sociology, mathematics, statistics, computer science, communications, business, and economics, and even English and history. The critical quality that a student needs to bring to the department is high quantitative ability. This is a profession that trains at the graduate level, and the specific undergraduate major is not a critical factor. Fields involving the application of modern quantitative research techniques provide an outlet for those trained in this program.

UMD Graduate
School General
Requirements
:
Statement of Purpose
Transcript(s)*
TOEFL/IELTS/PTE (international graduate students)
Program-Specific
Requirements:

Letters of Recommendation (3)
Graduate Record Examination (GRE)
CV/Resume
Writing Sample (1)

The Graduate School Application portal, gradapply.umd.edu, can be used to apply to UMD and review the status of your application. Graduate faculty in the Academic Department you applied to will review your completed application for graduate admission.

Note: Official transcripts are not required unless admitted and enrolled, in which, the official transcripts would then be required by the end of the first semester of enrollment to the Graduate School.

Students are required to submit all required documents before submitting their application: CV/Resume, Statement of Purpose, Writing Sample (required for M.S. and Ph.D., not required for M.Ed.) (3) recommendation letters, GRE scores, and TOEFL/IELTS/PTE for international graduate students. The Educational Testing Service is offering the GRE General Test online. Please visit here for more information: https://www.ets.org/gre/revised_general/register/at_home 

The Graduate School's guide to International Admissions provides an overview on the application, review, and enrollment process for international students.

The Graduate School's list of Frequently Asked Questions is a helpful resource as you navigate the admissions process.

For other questions about the application process, or to check on the completion of your application, please contact:

Judy Foster, Coordinator of Graduate Admissions
Office of Student Services, College of Education
(301) 405-2359

Questions regarding application reviews and decision recommendations should be directed to the Department of Human Development and Quantitative Methodology (HDQM). Please contact:

Jannitta Graham, Coordinator of Graduate Studies
Human Development and Quantitative Methodology
(301) 405-8432

 Please contact, Gregory Hancock Or Ji Seung Yang at jsyang@umd.edu 

Please contact, Gregory Hancock ghancock@umd.edu Or Ji Seung Yang at jsyang@umd.edu