Introduction to Mathematical Data Science
Adelaide University · SA · MATH1035
Introduction to Mathematical Data Science is a subject at Adelaide University, SA. It covers topics like data-science, mathematics, statistics. It is part of 12 degrees. The information below is compiled from public course material — approximate, not official.
Adelaide University
MATH1035
6.00
Topics covered
Degrees that include Introduction to Mathematical Data Science
- Bachelor of Mathematics
- Bachelor of Mathematics (Honours)
- Bachelor of Mathematics (Honours) majoring in Applied Mathematics
- Bachelor of Mathematics (Honours) majoring in Data Science
- Bachelor of Mathematics (Honours) majoring in Pure Mathematics
- Bachelor of Mathematics (Honours) majoring in Statistics
- Bachelor of Mathematics majoring in Applied Mathematics
- Bachelor of Mathematics majoring in Data Science
- Bachelor of Mathematics majoring in Pure Mathematics
- Bachelor of Mathematics majoring in Statistics
- Bachelor of Teaching (Secondary) (Honours)
- Diploma in Mathematical Studies
Frequently asked questions
What is Introduction to Mathematical Data Science about?
Introduction to Mathematical Data Science covers topics like data-science, mathematics, statistics.
Which degrees include Introduction to Mathematical Data Science?
Introduction to Mathematical Data Science is part of 12 degrees, including Bachelor of Mathematics, Bachelor of Mathematics (Honours), Bachelor of Mathematics (Honours) majoring in Applied Mathematics, Bachelor of Mathematics (Honours) majoring in Data Science, Bachelor of Mathematics (Honours) majoring in Pure Mathematics.
How many credit points is Introduction to Mathematical Data Science?
Introduction to Mathematical Data Science at Adelaide University is typically around 6.00 credit points. Approximate — confirm with the university.
Where is Introduction to Mathematical Data Science taught?
Introduction to Mathematical Data Science is taught at Adelaide University, SA.
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Sources: Adelaide 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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