Short Dissertation (Statistics) - MA975

Location Term Level Credits (ECTS) Current Convenor 2019-20
Canterbury
(version 2)
Yearlong
View Timetable
7 30 (15)

Pre-requisites

None

Restrictions

None

2019-20

Overview

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.

Details

This module appears in:


Contact hours

8

Method of assessment

Assessment: By presentation (5%) and dissertation (95%).

Indicative reading

There is no general reading list for this project-based module. Literature relevant to specific project topics will be recommended by individual supervisors.

Learning outcomes

The intended subject specific learning outcomes.
On successfully completing the module students:
1. will be aware of the relationship of the material to background material and to more advanced material;
2. will have written a coherent account of an area of Statistics, with particular reference to applications in Finance, as/if appropriate;
3. will have performed statistical analyses that show the depth of student understanding of the statistical methods relevant to the topic. This is especially the case for students of Statistics; students of Statistics in Finance may alternatively have demonstrated understanding of the importance of Statistics to Finance. For the last two degrees, these issues will depend on the topic studied;
4. will have presented analyses and drawn conclusions with clarity and accuracy;
5. will have understood theoretical and practical aspects of analysing statistical data. This is especially true for MSc students in Statistics.

The intended generic learning outcomes.
On successfully completing the module students:
1. will have developed a logical, mathematical approach to solving complex problems, at an advanced level;
2. will have enhanced their ability to work with relatively little guidance, and be able to exercise initiative;
3. will have gained further organisational, computer and study skills, and be able to adapt them to new situations;
4. will be able to use scientific word processing software, such as LaTex, to present their dissertation;
5. will have produced a dissertation that effectively communicates the material to the reader;
6. will have demonstrated an ability to evaluate research work critically;
7. will have selected material from source texts, either recommended to or found by the student;

University of Kent makes every effort to ensure that module information is accurate for the relevant academic session and to provide educational services as described. However, courses, services and other matters may be subject to change. Please read our full disclaimer.