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Financial Mathematics MSci

Queen Mary University of London · England · U900107

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Financial Mathematics MSci at Queen Mary University of London lists 37 subjects. Subjects include Financial Markets and Securities, Corporate Financial Management and Economics for Business Management. The topics that come up most are computational mathematics, statistical computing and statistical learning (10, 8 and 6 subjects).

Compiled from public course information: approximate, not official.

University
Queen Mary University of London

What you'll study in Financial Mathematics MSci

computational-mathematicsstatistical-computingstatistical-learningcalculusmathematical-economicslinear-algebramachine-learningapplied-mathematicsfinancial-mathematicsapplied-statisticsdeep-learningrisk-modellingstochastic-processesdifferential-equations

Example subjects: Financial Markets and Securities, Corporate Financial Management, Economics for Business Management, Programming in Python I, Numbers, Sets and Functions, Vectors and Matrices, Applied Calculus, Applied Probability and Statistics, Professional Skills for Mathematicians, Programming in Python II, Complex Variables, Convergence and Continuity.

Frequently asked questions

What will I study in Financial Mathematics MSci?

Financial Mathematics MSci covers areas like computational-mathematics, statistical-computing, statistical-learning, calculus, mathematical-economics, linear-algebra, machine-learning, applied-mathematics.

Who offers Financial Mathematics MSci?

Financial Mathematics MSci is offered by Queen Mary University of London, England.

Considering Financial Mathematics MSci?

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Sources: Queen Mary University of London official course page. Information is compiled and summarised, not copied verbatim, and is approximate; always confirm with the original source.

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