Survey and Data Science (online) (MPDS)
University of Maryland, College Park ยท MD ยท SURVEY-DATA-SCIENCE-ONLINE-MPDS
Survey and Data Science (online) (MPDS) is a degree at University of Maryland, College Park, MD. It covers areas like data science, data analytics, statistical computing, data mining, data analysis, applied statistics. The summary below is compiled from public course information โ approximate, not official.
University of Maryland, College Park
US$11,809
What you'll study in Survey and Data Science (online) (MPDS)
Example subjects: Scientific Computing III: Data-Driven and Machine Learning Methods (3 Credits), Data Mining and Predictive Analytics (3 Credits), Statistical Modeling and Data Analytics (2 Credits), Data Visualization (3 Credits), Data Mining and Predictive Analytics (2 Credits), Algorithms for Data Science (3 Credits), Big Data Systems (3 Credits), Scientific Computing III: Data-Driven and Machine Learning Methods (3 Credits), Data Analysis and Statistical Consulting (3 Credits), Seminar in Applied Statistics (1-3 Credits), Internship in Measurement and Statistics (3-12 Credits), Data Science Techniques (3 Credits).
Frequently asked questions
What will I study in Survey and Data Science (online) (MPDS)?
Survey and Data Science (online) (MPDS) covers areas like data-science, data-analytics, statistical-computing, data-mining, data-analysis, surveying, applied-statistics, social-research-methods.
How much does Survey and Data Science (online) (MPDS) cost?
Indicative domestic fees for Survey and Data Science (online) (MPDS) are around US$11,809 (approximate, usually per year). International fees differ โ confirm with the university.
Who offers Survey and Data Science (online) (MPDS)?
Survey and Data Science (online) (MPDS) is offered by University of Maryland, College Park, MD.
Considering Survey and Data Science (online) (MPDS)?
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Sources: University of Maryland, College Park official course page. Information is compiled and summarised โ not copied verbatim โ and is approximate; always confirm with the original source.
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