This module is compulsory for students on an MSc in Statistics and is not available for students on other courses.
The objectives of writing a dissertation are to allow a student to demonstrate the ability;
- to complete a major and worthwhile piece of research work, with some guidance, but largely self-motivated;
- to write an academic paper that is well-organised and which clearly and concisely communicates its contents to its readers;
- to apply knowledge of statistics and probability theory gained through coursework to a specific area of study, - to demonstrate ability to acquire further knowledge of additional statistical methodologies as required by the topic, and to show ability to acquire a good understanding of the underlying scientific problem.
- to identify and formulate a scientific problem and to show evidence of skills of inquiry, logical reasoning, probabilistic modelling and statistical analysis in addressing that problem.
To allow students to integrate, apply and extend knowledge and skills in the taught component of their Master degree and mastery of some elements of Mathematics and Statistics. To give students an introduction to research in the discipline.
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Students will be allocated a dissertation supervisor in the Department of Statistics. The module will entail regular supervisory meetings as well as independent study and research on a chosen topic and the writing of the dissertation. The dissertation will be on a topic within mathematics or statistics. Students will be provided with a list of available topics but may suggest their own provided this is agreed with the supervisor.
By the end of the module, students should be able to:
- Write an academic paper or research report that is well-organised and which clearly and concisely communicates its contents to a specialist audience
- Produce an extended piece of academic writing with appropriate referencing of literature review
- Plan, develop and complete a piece of advanced research work themed in mathematics and statistics
- Understand, apply and evaluate theory and / or methodology of relevant literature; showing good judgement in their selection, application and interpretation
- Demonstrate an in-depth understanding of an advanced topic in Mathematics or Statistics
Indicative reading list
- Krantz, S.G. (2017) A primer of mathematical writing: Being a disquisition on having your ideas recorded, typeset, published, read, and appreciated, V. 243, AMS.
- Allan, E.F., Abeyasekera, S., and Stem, R.D. (2006) Writing up research: a statistical
perspective. The University of Reading Statistical Service Centre.
- Neville, C. (2010) The complete guide to referencing and avoiding plagiarism. McGraw-Hill Education (UK).
Subject specific skills
-Plan, develop and complete a piece of advanced research work themed in mathematics and statistics;
-Demonstrate in-death understanding of an advanced topic in Mathematics or Statistics;
-Understand, apply and evaluate theory and/or methodology of relevant literature, showing good judgement in their selection, application and interpretation;
-Write an academic paper or research report that is well-organised and which clearly and concisely communicates its contents to specialist audience;
-Produce and extended piece of academic writing with appropriate referencing of literature review.
|Lectures||1 session of 1 hour (0%)|
|Project supervision||10 sessions of 1 hour (2%)|
|Private study||589 hours (98%)|
Private study description
Find, read and evaluate literature, plan and develop research question, collect and find data, carry out analysis, evaluate and interpret findings, communicate results and write dissertation.
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Students can register for this module without taking any assessment.
Assessment group A2
The stated number of words is indicative and you should follow further guidance in the MSc handbook.
Feedback on assessment
Grades and written feedback will be returned after the MSc examination board in December.
This module is Core option list A for:
- Year 1 of TSTA-G4P1 Postgraduate Taught Statistics