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Statistics and Data Science BS

University of California, Los Angeles ยท CA ยท 00F8

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Statistics and Data Science BS is a Undergraduate degree at University of California, Los Angeles, CA. It covers areas like data science, data analytics, statistical computing, data mining, applied statistics, statistical learning. The summary below is compiled from public course information โ€” approximate, not official.

University
University of California, Los Angeles
Level
Undergraduate
Indicative fees
US$15,203

What you'll study in Statistics and Data Science BS

data-sciencedata-analyticsstatistical-computingdata-miningapplied-statisticsstatistical-learningbig-databiostatisticsbusiness-analyticsdata-analysismathematical-economicsprobabilitycomputational-mathematicsstatistics

Example subjects: Data Analysis Strategies II, Advanced Biostatistics, Statistical Computing, Mathematical Statistics A, Mathematical Statistics B, Introduction to Data Management and Statistical Computing, Introduction to Data Science in R, Introduction to Data Science in Python, Statistical Learning B, Observational Health Data Science and Informatics, Statistical Graphics, Spatial Modeling and Data Analysis for Health Sciences.

Frequently asked questions

What will I study in Statistics and Data Science BS?

Statistics and Data Science BS covers areas like data-science, data-analytics, statistical-computing, data-mining, applied-statistics, statistical-learning, big-data, biostatistics.

How much does Statistics and Data Science BS cost?

Indicative domestic fees for Statistics and Data Science BS are around US$15,203 (approximate, usually per year). International fees differ โ€” confirm with the university.

Who offers Statistics and Data Science BS?

Statistics and Data Science BS is offered by University of California, Los Angeles, CA.

Considering Statistics and Data Science BS?

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Sources: University of California, Los Angeles 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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