Survey and Data Science (SURV)
University of Maryland, College Park · MD · SURVEY-METHODOLOGY-SURV
Survey and Data Science (SURV) at University of Maryland, College Park lists 30 subjects. Subjects include Fundamentals of Survey and Data Science (3 Credits), Theory and Methods of Statistics (3 Credits) and Fundamentals of Questionnaire Design (3 Credits). The topics that come up most are surveying, social research methods and postgraduate research methods (11, 9 and 8 subjects).
Compiled from public course information: approximate, not official.
University of Maryland, College Park
US$11,809
What you'll study in Survey and Data Science (SURV)
Example subjects: Fundamentals of Survey and Data Science (3 Credits), Theory and Methods of Statistics (3 Credits), Fundamentals of Questionnaire Design (3 Credits), Sampling Theory (3 Credits), Fundamentals of Survey and Data Science (3 Credits), Ethical Considerations for Data Science Research (1 Credit), Machine Learning and AI for Social Science (3 Credits), Statistical Modeling and Machine Learning I (3 Credits), Statistical Modeling and Machine Learning II (3 Credits), Applications of Statistical Modeling (3 Credits), Fundamentals of Data Collection I (3 Credits), Fundamentals of Data Collection II (3 Credits).
Frequently asked questions
What will I study in Survey and Data Science (SURV)?
Survey and Data Science (SURV) covers areas like surveying, social-research-methods, postgraduate-research-methods, statistical-computing, statistical-learning, statistics, data-analytics, methodology.
How much does Survey and Data Science (SURV) cost?
Indicative domestic fees for Survey and Data Science (SURV) are around US$11,809 (approximate, usually per year). International fees differ: confirm with the university.
Who offers Survey and Data Science (SURV)?
Survey and Data Science (SURV) is offered by University of Maryland, College Park, MD.
Considering Survey and Data Science (SURV)?
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Sources: University of Maryland, College Park official course page. Information is compiled and summarised, not copied verbatim, and is approximate; always confirm with the original source.
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