Statistical Modelling and Computing
UNSW Sydney · NSW · MATH3821
Statistical Modelling and Computing is a subject at UNSW Sydney, NSW in School of Mathematics & Statistics. It covers topics like mathematical-statistics, statistical-computing, statistics. It is part of 12 degrees. The information below is compiled from public course material — approximate, not official.
UNSW Sydney
MATH3821
6.00
School of Mathematics & Statistics
Topics covered
Degrees that include Statistical Modelling and Computing
- Actuarial Studies / Advanced Mathematics (Honours)
- Advanced Mathematics (Honours)
- Advanced Mathematics (Honours) / Arts
- Advanced Mathematics (Honours) / Commerce
- Advanced Mathematics (Honours) / Computer Science
- Advanced Mathematics (Honours) / Engineering (Honours)
- Advanced Mathematics (Honours) / Engineering Science
- Advanced Mathematics (Honours) / Law
- Advanced Science (Honours)
- Advanced Science (Honours) / Engineering Science
- Advanced Science (Honours) / Fine Arts
- Economics / Advanced Mathematics (Honours)
Frequently asked questions
What is Statistical Modelling and Computing about?
Statistical Modelling and Computing covers topics like mathematical-statistics, statistical-computing, statistics.
Which degrees include Statistical Modelling and Computing?
Statistical Modelling and Computing is part of 12 degrees, including Actuarial Studies / Advanced Mathematics (Honours), Advanced Mathematics (Honours), Advanced Mathematics (Honours) / Arts, Advanced Mathematics (Honours) / Commerce, Advanced Mathematics (Honours) / Computer Science.
How many credit points is Statistical Modelling and Computing?
Statistical Modelling and Computing at UNSW Sydney is typically around 6.00 credit points. Approximate — confirm with the university.
Where is Statistical Modelling and Computing taught?
Statistical Modelling and Computing is taught at UNSW Sydney, NSW.
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Sources: UNSW Sydney public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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