MATH52315: Models and Methods for Health Data Science
Durham University · England · MATH52315
MATH52315: Models and Methods for Health Data Science is a subject at Durham University, England. It covers topics like biostatistics, data-analytics, data-mining, data-science. It is part of 7 degrees. The information below is compiled from public course material — approximate, not official.
Durham University
MATH52315
3.00
Topics covered
Degrees that include MATH52315: Models and Methods for Health Data Science
- Master of Data Science (Bioinformatics and Biological Modelling) G5P223
- Master of Data Science (Digital Humanities) G5K923
- Master of Data Science (Environmental Data Science) G5P723
- Master of Data Science G5K823
- Master of Data Science (Health) G5P323
- Master of Data Science (Heritage) G5P523
- Master of Data Science (Social Analytics) G5P423
Frequently asked questions
What is MATH52315: Models and Methods for Health Data Science about?
MATH52315: Models and Methods for Health Data Science covers topics like biostatistics, data-analytics, data-mining, data-science.
Which degrees include MATH52315: Models and Methods for Health Data Science?
MATH52315: Models and Methods for Health Data Science is part of 7 degrees, including Master of Data Science (Bioinformatics and Biological Modelling) G5P223, Master of Data Science (Digital Humanities) G5K923, Master of Data Science (Environmental Data Science) G5P723, Master of Data Science G5K823, Master of Data Science (Health) G5P323.
How many credit points is MATH52315: Models and Methods for Health Data Science?
MATH52315: Models and Methods for Health Data Science at Durham University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is MATH52315: Models and Methods for Health Data Science taught?
MATH52315: Models and Methods for Health Data Science is taught at Durham University, England.
Studying MATH52315: Models and Methods for Health Data Science?
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Sources: Durham University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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