Multivariate Data Analysis
University of Edinburgh · Scotland · MATH10064
Multivariate Data Analysis is a subject at University of Edinburgh, Scotland. It covers topics like data-analysis, data-analytics, data-mining, statistical-computing. It is part of 16 degrees. The information below is compiled from public course material — approximate, not official.
University of Edinburgh
MATH10064
3.00
Topics covered
Degrees that include Multivariate Data Analysis
- Applied Mathematics (BSc Hons)
- Applied Mathematics (MMath)
- Economics and Mathematics (MA Hons)
- Economics and Statistics (MA Hons)
- Mathematics and Business BSc (Hons)
- Mathematics and Music (BSc Hons)
- Mathematics and Physics (BSc Hons)
- Mathematics and Statistics (BSc Hons)
- Mathematics (BSc Hons)
- Mathematics (MA Hons)
- Mathematics (MMath Hons)
- Philosophy and Mathematics (MA Hons)
- Statistics and Operational Research (MSc) (Full-time)
- Statistics and Operational Research (MSc) (Part-time)
- Statistics with Data Science (MSc)
- Statistics with Data Science (MSc) - 2 Years (Part-time)
Frequently asked questions
What is Multivariate Data Analysis about?
Multivariate Data Analysis covers topics like data-analysis, data-analytics, data-mining, statistical-computing.
Which degrees include Multivariate Data Analysis?
Multivariate Data Analysis is part of 16 degrees, including Applied Mathematics (BSc Hons), Applied Mathematics (MMath), Economics and Mathematics (MA Hons), Economics and Statistics (MA Hons), Mathematics and Business BSc (Hons).
How many credit points is Multivariate Data Analysis?
Multivariate Data Analysis at University of Edinburgh is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Multivariate Data Analysis taught?
Multivariate Data Analysis is taught at University of Edinburgh, Scotland.
Studying Multivariate Data Analysis?
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Sources: University of Edinburgh public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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