This module is core for students on the MMathStat degree and optional core for students on an MMORSE degree. It is not available as an unusual option for other students.
In this module you will carry out a significant project over the course of terms 1-3 on a topic of specialist interest. You will be provided with an opportunity to express preferences for your project during the preceding academic year and will be allocated to a project / supervisor before the start of the academic year.
To allow students to integrate, apply and extend knowledge and skills gained in the taught component of their degree and mastery of some element 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 and 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:
Mittelbach, F., Goossens, M., Braams, J., Carlisle, D., & Rowley, C. (2004). The LATEX companion. Addison-Wesley Professional.
Krantz, S. G. (2017). A primer of mathematical writing: Being a disquisition on having your ideas recorded, typeset, published, read, and appreciated (Vol. 243). American Mathematical Soc..
Neville, C. (2010). The complete guide to referencing and avoiding plagiarism. McGraw-Hill Education
Probability, Statistics or other Applied Mathematics research skills
Your Integrated Masters Dissertation is an opportunity to develop a range of transferable skills (see https://warwick.ac.uk/fac/sci/transferable-skills/more-transferable/) such as communicating orally, writing for your peers, project organisation and time management, or creative and independent thinking. These skills will be worthwhile whether you become an academic or go to industry.
|Lectures||4 sessions of 30 minutes (1%)|
|Project supervision||10 sessions of 1 hour (3%)|
|Supervised practical classes||2 sessions of 1 hour (1%)|
|Private study||186 hours (62%)|
|Assessment||100 hours (33%)|
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.
|Oral Presentation||15%||10 hours|
You will prepare and deliver a presentation about your dissertation project to a small audience of your peers and academic staff during a scheduled 2 hour session in week 9 or 10 of term 2.
Your presentation will last 12 minutes and will be followed by questions from the audience.
|Written dissertation||75%||80 hours|
Due in Term 3 Week 2
You will produce a written dissertation on your research project at a level of exposition and technical detail appropriate for another student within the same cohort. 500 words is equivalent to one page of text, diagrams, formula or equations; your dissertation is likely to be between 40-80 pages in length.
Up to 10% of the mark awarded for the dissertation will reflect the extent to which you took intellectual ownership of the project; this is an academic judgement on your quality of understanding beyond that evidenced in the written assessment components of the dissertation.
|Workflow Report||10%||10 hours|
Due in Term 1 Week 10.
If you take this module, you cannot also take:
This module is Core for:
This module is Core optional for: