Mathematics in Finance (MS)
New York University · NY · MATHEMATICS-FINANCE-MS
Mathematics in Finance (MS) is a Postgraduate degree at New York University, NY. It covers areas like financial mathematics, financial markets, mathematical economics, computational mathematics, statistical computing, finance. The summary below is compiled from public course information — approximate, not official.
New York University
Postgraduate
What you'll study in Mathematics in Finance (MS)
Example subjects: Computing in Finance, Scientific Computing, Scientific Computing in Finance, Machine Learning and Computational Statistics, Stochastic Calculus & Dynamic Asset Pricing, Risk and Portfolio Management, Project & Presentation, Financial Securities and Markets.
Frequently asked questions
What will I study in Mathematics in Finance (MS)?
Mathematics in Finance (MS) covers areas like financial-mathematics, computational-mathematics, statistical-computing, mathematical-economics, computing, financial-markets, stochastic-processes, differential-equations.
Who offers Mathematics in Finance (MS)?
Mathematics in Finance (MS) is offered by New York University, NY.
Considering Mathematics in Finance (MS)?
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Sources: New York University official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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