This programme specification is aimed at prospective students and represents the most current course structure.
SECTION A: DETAILS OF THE COURSE AND AWARD
|Programme:||Mathematics and Finance|
|Awarding body:||University of Essex|
|Teaching institution:||University of Essex|
|NQF Level of Qualification:||Master|
|Full / Part Time||Full-time|
|QAA Benchmark Group:||None|
| Admission criteria:
if the applicant does not meet the specified criteria, he or she may discuss the application with the Head of Undergraduate or Head of Postgraduate admissions.
|BSc degree, of Upper Second class standard or above, in Mathematics or a related subject (or an equivalent qualification). Knowledge of a computer programming language would be an advantage, but is not essential. Language requirements: IELTS 6.0 or TOEFL 540 (200) or comparable.|
SECTION B: PROGRAMME AIMS, OUTCOMES, LEARNING AND ASSESSMENT METHODS
This section provides a concise overview of the programme of study, identifying the aims, learning outcomes and the corresponding methods of learning, teaching and assessment.
Programme: MSC Mathematics and Finance
To offer students the opportunity to study mathematics and finance to an advanced level within an environment informed by current research. To provide students with advanced training that will be of use in a career as a mathematician or finance agent. To provide students with training in the preparation of reports involving mathematical material, including correct referencing, appropriate layout and style. To enhance the transferable skills of students (including IT, presentation skills, problem solving abilities, numeracy and their ability to efficiently retrieve information and use it in an effective manner). To provide students with a research-type experience that will aid them in their approach to further research activity. To provide students with information that will help them to make an informed judgement as to the appropriate methods to employ when analysing a mathematics or finance problem.
Programme Learning Outcomes
On successful completion of the programme a graduate should demonstrate knowledge and skills as follows:
A1 : A range of ideas concerning Mathematics and Finance, including methods appropriate in specialized applications and some knowledge of relevant probabilistic/statistical/computing ideas.|
A2 : How to formulate algorithms to solve problems.
A3 : Some of the ways in which apparently disparate parts of the subject may interconnect.
A4 : Analyse a given problem and select the most appropriate methods for its solution.
B1 : Analyse a mass of information and carry out an appropriate analysis of the problem material.|
B2 : Express a problem in mathematical terms and carry out an appropriate analysis.
B3 : Reason critically and interpret information in a manner that can be communicated effectively.
B4 : Integrate and link information across course components.
B5 : Under guidance of a supervisor, plan and carry out a piece of research and present the results in a coherent fashion.
C1 : Model problems in Finance using relevant mathematical tools.|
C2 : Construct and use algorithms.
C3 : Use a mathematical word-processing package.
C4 : Make an effective literature search.
C5 : Prepare a technical report.
C6 : Give a presentation and defend their ideas in an interview.
Communication: D1 : Write clearly and effectively|
IT Skills: D2 : Enhance existing numerical ability
Numeracy: D3 : Choose the appropriate method of inquiry in order to address a range of practical and theoretical problems.
Problem Solving: D4 : Learn from feedback and respond appropriately and effectively to supervision and guidance
Working with Others: D5 : Work pragmatically to meet deadlines.
Learning, Teaching & Assessment Methods or Strategies for the following:
A1-A3 are principally acquired through the coherent programmes of lectures, exercises and problem classes. These are supplemented, where appropriate, by the use of computers, computer packages, textbooks, handouts and on-line material.
In most modules there is regular set work. This work is marked and this process informs the course teacher of common difficulties that require extra attention during the subsequent problem classes.
A4 is principally acquired through the preparation of an essay and a thesis on specialized topics. During the production of their written work, students are expected to extend and enhance the basic module material concerning internet searching and the production of mathematical texts. The research guidance during the summer is a critical aspect of this training.
Knowledge and understanding are assessed through coursework, examinations, essays and the summer dissertation.
B1-B3 These skills are developed through the regular coursework exercises. In seeking to answer these exercises students become accustomed to identifying key facts in a body of information. The problems classes provide back-up as required.
B4-B5 These skills are initiated during the course of the preparation of the essay and are further developed during the course of the summer project.
The level of attainment of these skills is assessed through coursework, the summer examinations, and through examination of the summer project.
C1-C2 are developed through the programme of lectures, regular exercises and computer work.
C3-C5 are developed during the course of the preparation of the essay and the thesis.
C5-C6 are developed in MA902.
C1-C2 is assessed by the regular coursework and examinations.
C3 is assessed in this way and also by any computer output that forms part of the summer project.
C4-C6 are assessed through the MA902 essay and summer thesis.
D1 is promoted by the supervisor of the essay and thesis work and by class teachers' feedback on written solutions to problems.
D2 is a natural consequence of courses with high numeric content.
D3 is a consequence of the coursework, problems classes, lectures and laboratory work.
D4-D5 result from a tightly timetabled course of lectures and submission dates that require the student to effectively organise time to meet deadlines.
Key skills are assessed throughout the degree via coursework, examinations, the essay and the summer project.
SECTION C: COURSE STRUCTURE
Please refer to your option list as issued by the department where necessary,
and view module details in the module directory.
Additional notes on module choices:
Students are strongly advised to consider the balance of their workload across the autumn and spring terms when selecting their optional modules. Students must have at least 120 credits from the taught modules before proceeding to their dissertation.
|Component No.||Module Code||Module Title||Status in Award||Status in PG Diploma||Status in PG Certificate|
|03||BE953-7-AU||Research Methods in Finance: Empirical Methods in Finance||Compulsory|
|04||OPTION FROM LIST (15 / 20 CREDITS)||Compulsory with Options|
|05||MA311-7-SP||Mathematics of Portfolios||Compulsory|
|07||OPTION FROM LIST (15 / 20 CREDITS)||Optional|
|08||OPTION FROM LIST (15 / 20 CREDITS)||Optional|
SECTION D: RULES OF ASSESSMENT
Rules of assessment are here: http://www2.essex.ac.uk/academic/students/pgt/pgtrulesmenu.htm
Assessment information for individual modules can be found on the Module Directory at http://www.essex.ac.uk/courses/
External Examiner Information
- Name: Dr Prakash Patil
- Institution: The University of Birmingham
- Academic Role: Reader in Statistics
The University of Essex Programme Specifications Catalogue is updated annually in April/May. The specifications represent the most current course structures and may be subject to review and change. Should you have any queries about the Catalogue's pages, please contact the Course Records Team, Systems Administration Office, Academic Section; email: crt (non Essex users should add @essex.ac.uk)