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Admissions Information

Application Deadlines

Degree Requirements


Financial Assistance







Assistant Director

Presser, Stanley, Full Member


Abraham, Katharine, Full Member

Kreuter, Frauke, Full Member

Lahiri, Partha, Full Member

Raghunathan, Trivellore E., Full Member

Associate Professor

Li, Yan, Full Member

Associate Research Professor

Elliott, Michael, Full Member

Research Associate Professor

Cantor, David, Full Member

Research Professor

Brick, Michael, Full Member

Conrad, Frederick G., Full Member

Couper, Mick P., Full Member

Fay, Robert E., Full Member

Rust, Keith, Full Member

Research Scientist

Heeringa, Steven G., Full Member

Assistant Research Professor

West, Brady,

Research Assistant Professor

Montaquila, Jill, Full Member

More SURV Faculty Information

Survey Methodology (SURV)   

Program Title and Classification

Survey Methodology

Graduate Degree Program

College: Behavioral and Social Sciences


The Survey Methodology Program blends together faculty with diverse disciplinary backgrounds, all devoted to teaching state-of-the-art practices in the statistical and methodological aspects of surveys. The program's faculty come primarily from the University of Maryland, University of Michigan, and Westat, supplemented by instructors from a number of federal statistical agencies.

SURV offers a Master of Science in Survey Methodology and a Ph. D. in Survey Methodology. Both degree programs have three areas of concentration: Statistical Science , Social  and Psychological Science and Data Science. 

The statistical science area of concentration is designed for students who wish to specialize in areas such as sample design, estimation in complex samples, variance estimation, statistical measurement error models, and statistical adjustments for missing data.

The social science area of concentration is designed for students who wish to specialize in areas such as questionnaire design, design of interviewing systems, computer assistance in data collection, effects of mode of data collection, cognitive psychological insights into survey measurement, and efforts to reduce various nonsampling errors in data collection.

The data science area of concentration is designed for students who wish to specialize in the more computational aspects of survey methodology and research involving "big data," including data visualization, management and analysis of large and messy data sets, human-computer interaction in survey research, and machine learning algorithms.

The three areas of specialization share a set of courses in the core curriculum, including a two term survey practicum, a course in data collection methods, two terms of statistical methods, a two term course in total survey quality, and a survey design seminar.




Admissions Information

General Requirements:

Program-Specific Requirements:

Applicants to the M.S. program are expected to hold a baccalaureate degree from a regionally accredited institution with a minimum of a 'B' average. Post-baccalaureate coursework and relevant work experience will also be used in the application evaluation. Entry to the statistical science concentration requires three undergraduate courses in calculus, one in linear algebra, and one in statistics. Entry to the social science concentration requires two undergraduate quantitative courses, at least one of which is in statistics, and at least two undergraduate courses in the social sciences. Entry to the data science concentration requires some background in computer science, with a minimum of two semesters of programming coursework, and also at least one semester of statistics.

Applicants to the Ph.D. program are expected to have a graduate degree in some field (such as statistics or psychology) that is related to survey methodology. Applicants must also demonstrate an appropriate quantitative background. 

For more admissions information or to apply to the program, please visit our Graduate School website:

Application Deadlines

Type of Applicant Fall
Domestic Applicants:
US Citizens and Permanent Residents
5 Jan
International Applicants:
F (student) or J (exchange visitor) visas
A,E,G,H,I and L visas and immigrants.
5 Jan

Other Deadlines: Please visit the program website at

Degree Requirements

Master of Science (M.S.)

Total CreditsCore Requirements

Non-thesis option only: 46 credits required

All students are required to complete 46 credits. The following courses are required as well as an internship:

SURV 615: Statistical Methods I (3 credits)

SURV 616: Statistical Methods II (3 credits)

SURV 720: Total Survey Quality I (2 credits)

SURV 721: Total Survey Quality II (2 credits)

SURV 772: Survey Design Seminar (3 credits)

SURV 746: Applications of Statistical Modeling (3 credits)

Fundamentals of Data Collection I (3 credits)

Fundamentals of Data Collection II (3 credits)

Fundamentals of Computing and Data Display (3 credits)

Specialization Requirements

Statistical Science students must complete the following courses:

SURV 410: Introduction to Probability Theory (3 credits)

SURV 420: Introduction to Statistics (3 credits)

SURV 440: Sampling Theory (3 credits)

SURV 742: Inference from Complex Surveys (3 credits)

Elective (9 credits)

Social Science students must complete the following courses:

SURV 625: Applied Sampling (3 credits)

SURV 630: Questionnaire Design and Evaluation (3 credits)

SURV 632: Social and Cognitive Foundations of Survey Measurement (3 credits)

SURV 701: Analysis of Complex Sample Data (3 credits)

Fundamentals of Inference (3 credits)

Electives (6 credits)

Data Science students must complete the following courses:

SURV 625: Applied Sampling (3 credits)

SURV 701: Analysis of Complex Sample Data (3 credits)

Fundamentals of Inference (3 credits)

Electives (12 credits)


SURV offers a non-thesis program, however students in all three tracks the statistical science, social and psychological science and data science concentrations must fulfill a research experience requirement, yielding a scholarly paper. This paper must be the result of either original research conducted by the student, critical analysis, or evaluation of existing surveys.


Doctor of Philosophy (Ph.D.)

Core Requirements

Students must participate in the Ph.D. seminar for four semesters by enrolling in SURV 829: Doctoral Research Seminar in Survey Methodology for a total fo 12 credits. Students must also complete 12 credits of SURV 899: Doctoral Dissertation Research.


There are five major requirements for the Ph.D. Students must pass a qualifying examination (normally at the end of their first year) and a comprehensive examination (normally at the end of their second year). They must participate in the Ph.D. seminar for four semesters. They must meet a residency requirement which consists of spending at least two days per week at JPSM for a period of three semesters. Finally, they must complete a dissertation.


Facilities and Special Resources

SURV has the goal of offering training to all qualified students, regardless of the employment sector of interest to them. Several features of the program are designed with the working student in mind. Many class times are tailored to be compatible with the work day; a 12-month curriculum offers core courses throughout the year; and research experience requirements are integrated with work activities.

Courses have been offered at a Federal agency facility located in Washington, D.C. and interactive 2-way audio/video transmission equipment is used to transmit some courses between the College Park campus and the Ann Arbor campus of the University of Michigan,also - between College Park and the Census headquarters in Suitland, MD.

Financial Assistance

Financial assistance is available in the form of competitive fellowships and graduate assistantships for teaching or research.

Contact Statement

For more information, contact: Rupa Jethwa Eapen (RJEapen@Umd.Edu).



Rupa Jethwa Eapen, Director, Administrative Services

1218 LeFrak Hall

MD, 20742

Telephone: (301)314-7911

Fax: (301)314-7912 ">


Associated Information





Social Science Concentration: Questionnaire Design, Social and Cognitive Foundations of Survey Measurement, Analysis of Complex Data, Survey Management. Statistical Science Concentration: Statistical Methods, Topics in Sampling, Inference from Complex Surveys, Probability Theory, Mathematical Statistics, Data Science Concentration: Big Data, Data Visualization, Human- computer interaction in survey research, machine learning algorithms, analysis of large and messy data sets.


Intermediate Survey Methodology (Z011)

Survey and Data Science (online) (MPDS)

Survey Statistics (Z010)