Statistics Dissertation (Distance Learning)
| Code | School | Level | Credits | Semesters |
| MATH5001 | Mathematical Sciences | 5 | 60 | Summer UK |
- Code
- MATH5001
- School
- Mathematical Sciences
- Level
- 5
- Credits
- 60
- Semesters
- Summer UK
Summary
In this course a substantial investigation will be carried out on a topic in Statistics or Probability. The study will be largely self-directed, although a supervisor will provide oversight and input where necessary. The topic will be chosen by agreement between the student and supervisor. The topic could be based on the statistical analysis of a substantial dataset or an investigation into statistical methodology. It is expected that projects will contain an element of statistical computing.
Target Students
MSc Statistics Science (Distance Learning) students
Classes
- One 1-hour tutorial each week for 12 weeks
Assessment
- 100% Dissertation: Substantial report - normally 40-60 pages
Assessed by end of summer vacation
Educational Aims
The purpose of this course is to broaden and deepen the students' knowledge and understanding of statistics by carrying out a detailed and substantial investigation. Students will acquire knowledge and skills of relevance to a professional and/or research statistician. Research experience will be broadened considerably by undertaking this independent but supervised work, summarising the analysis and findings in a written dissertation and discussing their investigation in a viva.Learning Outcomes
A student who completes this course successfully will be able to:
L1 - model a substantial statistical problem and perform related numerical and analytical computations;
L2 - search and review relevant literature and other resources where appropriate;
L3 - relate theoretical models to their statistical applications;
L4 - undertake in-depth research into a statistical technique and apply the method appropriately to a data set;
L5 - present results in written form to a mixed audience of experts and general statisticians;
L6 - communicate results using appropriate styles, conventions and terminology.