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Data Science, B.S.

University of California, Irvine ยท CA ยท DATASCIENCEBS

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Data Science, B.S. is a Undergraduate degree at University of California, Irvine, CA. It covers areas like statistical computing, statistical learning, computational mathematics, applied statistics, algorithms, data mining. The summary below is compiled from public course information โ€” approximate, not official.

University
University of California, Irvine
Level
Undergraduate
Admissions
29% admit rate
Indicative fees
US$15,722

What you'll study in Data Science, B.S.

statistical-computingstatistical-learningapplied-statisticscomputational-mathematicsdata-miningdata-analysisdata-analyticsdatabase-systemsalgorithmsdata-sciencelinear-algebradata-structuresmachine-learningdifferential-equations

Example subjects: Digital Image Processing, Computer Simulation, Computational Photography and Vision, Information Retrieval, Introduction to Data Management, Project in Databases and Web Applications, Principles of Data Management, Beyond SQL Data Management, Next Generation Search Systems, Parallel and Distributed Computing, Computer and Network Security, Design and Analysis of Algorithms.

Frequently asked questions

How selective is Data Science, B.S.?

Admissions at University of California, Irvine (institution-level): 29% admit rate. Confirm with the university.

What will I study in Data Science, B.S.?

Data Science, B.S. covers areas like statistical-computing, statistical-learning, applied-statistics, computational-mathematics, data-mining, data-analysis, data-analytics, database-systems.

How much does Data Science, B.S. cost?

Indicative domestic fees for Data Science, B.S. are around US$15,722 (approximate, usually per year). International fees differ โ€” confirm with the university.

Who offers Data Science, B.S.?

Data Science, B.S. is offered by University of California, Irvine, CA.

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Sources: University of California, Irvine 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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