The module enables students to undertake an independent piece of work in a particular area of statistics, or statistical finance/financial econometrics and to write a coherent account of the material.
There is no specific syllabus for this module.
Total contact hours: 14
Private study hours: 586
Total study hours: 600
Presentation: 10 minutes (10%)
Written Dissertation: approximately 40-50 pages (90%)
Reassessment methods:
Like-for-like
There is no general reading list for this module. Literature relevant to specific project topics will be recommended by individual supervisors.
See the library reading list for this module (Canterbury)
The intended subject specific learning outcomes. On successfully completing the module students will be able to:
1 demonstrate the relationship of the material to background material and to more advanced material;
2 write a coherent account of an area of Statistics, with particular reference to applications in Finance, if appropriate;
3 perform statistical analyses that show the depth of student understanding of the statistical methods relevant to the topic.
4 present complex analyses and draw appropriate conclusions with clarity and accuracy;
5 demonstrate understanding of theoretical and practical aspects of analysing statistical data.
6 use the text-processing software LaTex to prepare presentation slides and to present their dissertation.
The intended generic learning outcomes. On successfully completing the module students will be able to:
1 apply a logical, mathematical approach to solving complex problems, at an advanced level;
2 work with relatively little guidance, and be able to exercise initiative;
3 utilise advanced organisational, computer and study skills, and be able to adapt them to new situations;
4 use scientific word processing software, such as LaTex, to present their dissertation;
5 produce a dissertation that effectively communicates the material to the reader;
6 demonstrate an ability to evaluate research work critically;
7 select appropriate material from complex source texts, either recommended to or found by the student.
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