Module manager: Luisa Cutillo
Email: L.Cutillo@leeds.ac.uk
Taught: 1 Jun to 30 Sep View Timetable
Year running 2026/27
None
MATH5871M Dissertation in Statistics
This module is not approved as an Elective
This module will require students to undertake an extended project in statistics, integrating the skills and knowledge developed in the first two semesters of the programme. Under the guidance of a project supervisor, students will develop their ability to work independently on an extended project and effectively communicate the outputs and results in a variety of formats e.g. orally and in writing.
Through regular supervision meetings, formative feedback and completion of milestone activities, students will be able to plan and carry out an extended statistics project and present their findings.
Upon successful completion of this module, students will be able to: 1. Critically evaluate existing literature related to their project to appreciate the context and relevance of the project. 2. Formulate clear and achievable research aims, questions, and hypotheses grounded in appropriate theoretical and methodological frameworks. 3. Implement suitable strategies for data preparation, analysis, and validation. 4. Select and apply appropriate statistical, computational, and machine learning methods to analyse complex, multi-dimensional datasets. 5. Explain underlying theory of their chosen methodologies. 6. Interpret and evaluate results with clarity and academic rigour and communicate results in a variety of formats.
This module will require students to undertake an extended project in statistics, integrating the skills and knowledge developed in the first two semesters of the programme. Under the guidance of a project supervisor, students will develop their ability to work independently on an extended project and effectively communicate the outputs and results in a variety of formats e.g. orally and in writing.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Supervision | 6 | 1 | 6 |
| Lectures | 2 | 2 | 4 |
| Private study hours | 590 | ||
| Total Contact hours | 10 | ||
| Total hours (100hr per 10 credits) | 600 | ||
Provide high-level details of opportunities for students to receive formative feedback, this should include formative assessments.
Students will receive regular feedback from supervisors in supervisions meetings, and for specified milestones.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Project | . | 100 |
| Total percentage (Assessment Coursework) | 100 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Check the module area in Minerva for your reading list
Last updated: 30/04/2026
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