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Computational Finance with Python - MAT00113M

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  • Department: Mathematics
  • Credit value: 20 credits
  • Credit level: M
  • Academic year of delivery: 2024-25

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Pre-requisite modules

Additional information

Prerequisites are Mathematical Methods of Finance OR Mathematical Finance in Discrete Time for 2024/25.

This module has no formal prerequisites for MSc students taking it as a core module. Elective / MSc students should have a basic probability and statistics and linear algebra. Familiarity with stochastic processes and mathematical finance would be beneficial but not as important as a willingness to learn new material in the context of the techniques studied in the module.

The module is suitable for students who are new to programming.

Module will run

Occurrence Teaching period
A Semester 2 2024-25

Module aims

Information currently unavailable

Module learning outcomes

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Indicative assessment

Task % of module mark
Essay/coursework 90.0
Essay/coursework 10.0

Special assessment rules

None

Indicative reassessment

Task % of module mark
Essay/coursework 90.0
Essay/coursework 10.0

Module feedback

Information currently unavailable

Indicative reading

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The information on this page is indicative of the module that is currently on offer. The University constantly explores ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary. In some instances it may be appropriate for the University to notify and consult with affected students about module changes in accordance with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.