Computational Mathematical Finance (MSc) (Full-time)
University of Edinburgh · Scotland · PTMSCCOMAF1FHTM
Computational Mathematical Finance (MSc) (Full-time) is a Postgraduate taught degree at University of Edinburgh, Scotland. It covers areas like mathematical economics, financial mathematics, financial analysis, risk modelling, financial markets, computational mathematics. The summary below is compiled from public course information — approximate, not official.
University of Edinburgh
Postgraduate taught
What you'll study in Computational Mathematical Finance (MSc) (Full-time)
Example subjects: Programming Skills, Reinforcement Learning, Algorithmic Game Theory and its Applications, Blockchains and Distributed Ledgers, Time Series, Financial Risk Theory, Credit Scoring, Stochastic Control and Dynamic Asset Allocation, Stochastic Analysis in Finance, Risk-Neutral Asset Pricing, Optimization Methods in Finance, Bayesian Data Analysis.
Frequently asked questions
What will I study in Computational Mathematical Finance (MSc) (Full-time)?
Computational Mathematical Finance (MSc) (Full-time) covers areas like mathematical-economics, financial-mathematics, financial-analysis, risk-modelling, computational-mathematics, statistical-computing, stochastic-processes, statistical-learning.
Who offers Computational Mathematical Finance (MSc) (Full-time)?
Computational Mathematical Finance (MSc) (Full-time) is offered by University of Edinburgh, Scotland.
Considering Computational Mathematical Finance (MSc) (Full-time)?
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Sources: University of Edinburgh official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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