Mathematical Foundations of Data Science
Washington University in St. Louis · MO · SDS4440
Mathematical Foundations of Data Science is a subject at Washington University in St. Louis, MO. It covers topics like computational-mathematics, data-analytics, data-science, mathematical-economics. It is part of 11 degrees. The information below is compiled from public course material — approximate, not official.
Washington University in St. Louis
SDS4440
3.00
Topics covered
Degrees that include Mathematical Foundations of Data Science
- Computational & Data Sciences, PhD (CDS)
- Computer Science + Mathematics (CSE), BS
- Computer Science + Mathematics (CSE), Second Major
- Data Analytics and Applications, BSIS
- Data Analytics Certificate
- Data Science (CSE), BS
- Data Science (CSE), Second Major
- Data Science in the Humanities, Graduate Certificate
- Data Science Major
- Mathematics and Computer Science Major
- Mathematics and Economics Major
Frequently asked questions
What is Mathematical Foundations of Data Science about?
Mathematical Foundations of Data Science covers topics like computational-mathematics, data-analytics, data-science, mathematical-economics.
Which degrees include Mathematical Foundations of Data Science?
Mathematical Foundations of Data Science is part of 11 degrees, including Computational & Data Sciences, PhD (CDS), Computer Science + Mathematics (CSE), BS, Computer Science + Mathematics (CSE), Second Major, Data Analytics and Applications, BSIS, Data Analytics Certificate.
How many credit points is Mathematical Foundations of Data Science?
Mathematical Foundations of Data Science at Washington University in St. Louis is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Mathematical Foundations of Data Science taught?
Mathematical Foundations of Data Science is taught at Washington University in St. Louis, MO.
Studying Mathematical Foundations of Data Science?
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Sources: Washington University in St. Louis public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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