Computer Intensive Methods for Stochastic Models in Finance
University of Waterloo · ON · STAT906
Computer Intensive Methods for Stochastic Models in Finance is a subject at University of Waterloo, ON in STAT. It covers topics like financial-mathematics, mathematical-economics, statistical-computing, stochastic-processes. It is part of 5 degrees. The information below is compiled from public course material — approximate, not official.
University of Waterloo
STAT906
3.00
STAT
Topics covered
Degrees that include Computer Intensive Methods for Stochastic Models in Finance
- Doctor of Philosophy (PhD) in Actuarial Science and Quantitative Finance
- Doctor of Philosophy (PhD) in Statistics
- Doctor of Philosophy (PhD) in Statistics - Biostatistics
- Master of Mathematics (MMath) in Actuarial Science
- Master of Quantitative Finance (MQF)
Frequently asked questions
What is Computer Intensive Methods for Stochastic Models in Finance about?
Computer Intensive Methods for Stochastic Models in Finance covers topics like financial-mathematics, mathematical-economics, statistical-computing, stochastic-processes.
Which degrees include Computer Intensive Methods for Stochastic Models in Finance?
Computer Intensive Methods for Stochastic Models in Finance is part of 5 degrees, including Doctor of Philosophy (PhD) in Actuarial Science and Quantitative Finance, Doctor of Philosophy (PhD) in Statistics, Doctor of Philosophy (PhD) in Statistics - Biostatistics, Master of Mathematics (MMath) in Actuarial Science, Master of Quantitative Finance (MQF).
How many credit points is Computer Intensive Methods for Stochastic Models in Finance?
Computer Intensive Methods for Stochastic Models in Finance at University of Waterloo is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Computer Intensive Methods for Stochastic Models in Finance taught?
Computer Intensive Methods for Stochastic Models in Finance is taught at University of Waterloo, ON.
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Sources: University of Waterloo public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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