Survey Methodology, Master of Science (M.S.)

Non-thesis option only: 46 credits required

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.

Students choose from one of the following concentrations:

Statistical Science

Course Title Credits
Required courses:
SURV615Statistical Modeling I3
SURV616Statistical Modeling II3
SURV720Total Survey Error and Data Quality I2
SURV721Total Survey Error and Data Quality II2
SURV772Survey Design Seminar3
SURV617Applications of Statistical Modeling3
Fundamentals of Data Collection I3
Fundamentals of Data Collection II3
Fundamentals of Computing and Data Display3
Specialization requirements:
SURV410Introduction to Probability Theory3
SURV420Introduction to Statistics3
SURV440Sampling Theory3
SURV742Inference from Complex Surveys3
Elective9
Total Credits46

Social Science

Course Title Credits
Required courses:
SURV615Statistical Modeling I3
SURV616Statistical Modeling II3
SURV720Total Survey Error and Data Quality I2
SURV721Total Survey Error and Data Quality II2
SURV772Survey Design Seminar3
SURV617Applications of Statistical Modeling3
Fundamentals of Data Collection I3
Fundamentals of Data Collection II3
Fundamentals of Computing and Data Display3
Specialization requirements:
SURV625Applied Sampling3
SURV630Questionnaire Design and Evaluation3
SURV632Cognition, Communication and Survey Measurement3
SURV701Analysis of Complex Sample Data3
Fundamentals of Inference3
Electives6
Total Credits46

Data Science

Course Title Credits
Required courses:
SURV615Statistical Modeling I3
SURV616Statistical Modeling II3
SURV720Total Survey Error and Data Quality I2
SURV721Total Survey Error and Data Quality II2
SURV772Survey Design Seminar3
SURV617Applications of Statistical Modeling3
Fundamentals of Data Collection I3
Fundamentals of Data Collection II3
Fundamentals of Computing and Data Display3
Specialization requirements:
SURV625Applied Sampling3
SURV701Analysis of Complex Sample Data3
Fundamentals of Inference3
Electives12
Total Credits46