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MA50262: Dissertation

[Page last updated: 10 August 2020]

Follow this link for further information on academic years Academic Year: 2020/1
Further information on owning departmentsOwning Department/School: Department of Mathematical Sciences
Further information on credits Credits: 30      [equivalent to 60 CATS credits]
Further information on notional study hours Notional Study Hours: 600
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Dissertation period
Further information on unit assessment Assessment Summary: DS 100%
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites: Before taking this module you must take MA50261
Description: 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.

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.

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 MA5xxxx 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.
Further information on programme availabilityProgramme availability:

MA50262 is Compulsory on the following programmes:

Department of Computer Science

Notes: