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Data Science Major, B.S.

University of North Carolina at Chapel Hill ยท NC ยท DATA-SCIENCE-MAJOR-BS

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Data Science Major, B.S. is a Undergraduate degree at University of North Carolina at Chapel Hill, NC. It covers areas like data analytics, data science, computational mathematics, mathematical economics, data mining, statistical computing. The summary below is compiled from public course information โ€” approximate, not official.

University
University of North Carolina at Chapel Hill
Level
Undergraduate
Indicative fees
US$8,994

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

data-analyticsdata-sciencecomputational-mathematicsmathematical-economicsdata-miningstatistical-computingstatistical-learningmachine-learningapplied-mathematicsdata-analysisurban-planningcomputational-biologyurban-studiesdeep-learning

Example subjects: Introduction to Statistical Computing and Data Management, Introduction to Machine Learning, Principles of Experimental Analysis, Basic Elements of Probability and Statistical Inference I, Sample Survey Methodology, Intermediate Selected Topics, Foundations of Clinical Data Science, Systems Analysis in Healthcare, Healthcare Systems in the US, Electronic Health Records, Database Systems in Healthcare, Health Informatics Internship.

Frequently asked questions

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

Data Science Major, B.S. covers areas like data-analytics, data-science, computational-mathematics, mathematical-economics, data-mining, statistical-computing, statistical-learning, machine-learning.

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

Indicative domestic fees for Data Science Major, B.S. are around US$8,994 (approximate, usually per year). International fees differ โ€” confirm with the university.

Who offers Data Science Major, B.S.?

Data Science Major, B.S. is offered by University of North Carolina at Chapel Hill, NC.

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Sources: University of North Carolina at Chapel Hill 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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