Accessibility statement

Finance Dissertation - MAT00123M

« Back to module search

  • Department: Mathematics
  • Credit value: 60 credits
  • Credit level: M
  • Academic year of delivery: 2023-24
    • See module specification for other years: 2024-25
  • Notes: This is an independent study module

Module summary

This module will allow you to put into practice the principles and techniques learned in the taught component of the programme by independently carrying out an in-depth analysis and/or critical review of a finance topic with a strong quantitative/mathematical component.

Module will run

Occurrence Teaching period
A Summer Semester 2023-24

Module aims

This module will allow you to put into practice the principles and techniques learned in the taught component of the programme by independently carrying out an in-depth analysis and/or critical review of a finance topic with a strong quantitative/mathematical component.

Module learning outcomes

After successful completion, students are able to:

  1. Engage in an independent research project;

  2. Enhance and apply specialised skills in mathematical theory, econometrics, and/or computer implementation in finance;

  3. Locate and critically appraise relevant technical literature;

  4. Acquire understanding and knowledge of subject matter beyond material cover in taught modules;

  5. Clearly present and communicate mathematical ideas in a finance context.

Module content

The aim of the module is to allow students to put into practice the principles and techniques learned in the taught component of the programme by independently carrying out an in-depth analysis and/or critical review of a finance topic with a strong quantitative/mathematical component. A high degree of originality is not expected; instead, it cultivates the ability to arrive at carefully reasoned conclusions.

The module starts with two lectures, which take place after the Semester 2 exams have finished. The first introduces the dissertation process and discusses the dos and don’ts of dissertation writing. The second two-hour session focuses on the use of mathematical typesetting software and consistent (and correct) referencing systems.

Topics for the dissertations are proposed by supervisors and, informed by student preferences, allocated to students. These topics provide students the opportunity to evidence their ability to apply and explain the use of high-level mathematical and/or statistical techniques to problems in finance. Supervisory support typically consists of four one-hour meetings, and detailed feedback on two draft versions of the dissertation.

As this is a self-study module, students will also draw on the skills that they have acquired throughout the whole degree, including self-management, working to deadlines, and subject knowledge.

Indicative assessment

Task % of module mark
Essay/coursework 100

Special assessment rules

Non-reassessable

Additional assessment information

No reassessment, but minor amendments allowed for marginal fails.

Indicative reassessment

Task % of module mark
Essay/coursework 100

Module feedback

Current Department policy on feedback is available in the student handbook. Coursework and examinations will be marked and returned in accordance with this policy.

Indicative reading

Departmental web pages about LaTeX and the resources listed there.


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.