University of Maryland

Overview

The PhD in Survey and Data Science at the University of Maryland equips students with the skills to design, collect, and analyze survey data utilizing cutting-edge statistical and computational techniques. This program emphasizes survey methodology, statistical inference, and the application of data science across both social and scientific fields.

What you'll study

The curriculum integrates advanced coursework in survey methodology and statistical inference with substantial research training. Students engage in both core and elective courses before shifting their focus toward dissertation research.

Coursework may include:

• Advanced Topics in Survey Methodology; Small Area Estimation
• Bayesian Modeling and Inference
• Practical Tools for Study Design and Inference
• Topics in Survey Methodology
• Inference from Complex Surveys
• Computing and Data Display
• Research Design: Causal Inference from Randomized and Observational Data
• Total Survey Error and Data Quality
• Analysis of Complex Sample Data

Research and dissertation:

• Conduct dissertation research under faculty guidance, typically building upon prior coursework and qualifying exams.
• Participate in ongoing research activities through seminars, reading groups, and presentations.

Concentration areas: Students can tailor their coursework and dissertation research to align with the program's focus areas: Statistical Science, Social Science, and Data Science.

Entry requirements

Specific GRE/GMAT scores and minimum GPA requirements are not mandated for this program. Admissions decisions are based on a candidate's academic background, research potential, and alignment with the program's focus on quantitative methods and survey methodology.

Career prospects

Graduates of the PhD in Survey and Data Science will be well-prepared for a variety of career paths, including positions in academia, government, and private sector research. Their expertise in survey design and data analysis will be invaluable in addressing complex social and scientific questions.