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Mathematical Optimization for Data Science

UNSW Sydney ยท NSW ยท MATH3191

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Mathematical Optimization for Data Science is a subject at UNSW Sydney, NSW in School of Mathematics & Statistics. It covers topics like applied-mathematics, data-science, mathematical-optimization. It is part of 13 degrees. The information below is compiled from public course material โ€” approximate, not official.

University
UNSW Sydney
Code
MATH3191
Credit points
6.00
Category
School of Mathematics & Statistics

Topics covered

applied-mathematicsdata-sciencemathematical-optimization

Degrees that include Mathematical Optimization for Data Science

Frequently asked questions

What is Mathematical Optimization for Data Science about?

Mathematical Optimization for Data Science covers topics like applied-mathematics, data-science, mathematical-optimization.

Which degrees include Mathematical Optimization for Data Science?

Mathematical Optimization for Data Science is part of 13 degrees, including Actuarial Studies / Advanced Mathematics (Honours), Advanced Computer Science (Honours), Advanced Mathematics (Honours), Advanced Mathematics (Honours) / Arts, Advanced Mathematics (Honours) / Commerce.

How many credit points is Mathematical Optimization for Data Science?

Mathematical Optimization for Data Science at UNSW Sydney is typically around 6.00 credit points. Approximate โ€” confirm with the university.

Where is Mathematical Optimization for Data Science taught?

Mathematical Optimization for Data Science is taught at UNSW Sydney, NSW.

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Sources: UNSW Sydney public course catalogue. Information is compiled and summarised โ€” not copied verbatim โ€” and is approximate; always confirm with the original source.

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