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MA50262: Dissertation

[Page last updated: 23 October 2023]

Academic Year: 2023/24
Owning Department/School: Department of Mathematical Sciences
Credits: 30 [equivalent to 60 CATS credits]
Notional Study Hours: 600
Level: Masters UG & PG (FHEQ level 7)
Dissertation period
Assessment Summary: DS 100%
Assessment Detail:
  • Dissertation (normally 75-100 pages) (DS 100%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites: Before taking this module you must take MA50261
Learning Outcomes: : A student will be able to;
* identify the tasks to be completed in a research project proposal, plan a scheme of work, and complete the project to a professional standard;
* assemble and create the necessary analysis, design and development tools, carry out the development of the solution of a technical problem in statistics, and evaluate the effectiveness of the solution against common standards of quality;
* demonstrate the successful completion of these tasks in a well-structured and coherently written dissertation, which will include a discussion of the research outcomes of the work, and future directions.

Aims: To develop skills of individual research project effort in a statistics based undertaking with original development content related to the Masters theme studied by the student.

Skills: Ability to review research literature (F, A). Critical analysis of research work and ideas (F, A). Effectively judge potential solutions and solution paths (F, A). Formulating and testing hypotheses (F, A). Communication skills (F, A)

Content: The student will follow an appropriate problem solving route, building on the detailed literature review and dissertation project proposal written in MA50261 Research Project Preparation. The student will analyse possible problem solutions based on an extensive review of related research work, and choose appropriate methods and approaches. This will lead to the implementation of the chosen solution, its testing and evaluation. In most cases the project will be a synthesis of both an analytical and a computational approach to solving or investigating a substantial statistics problem. However, projects will vary in style, and some may be more data-based, and some may be purely theoretical. A comprehensive dissertation will be submitted at the completion of the project.

Course availability:

MA50262 is Compulsory on the following courses:

Department of Computer Science


  • This unit catalogue is applicable for the 2023/24 academic year only. Students continuing their studies into 2024/25 and beyond should not assume that this unit will be available in future years in the format displayed here for 2023/24.
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