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2007/08 Taught Postgraduate Programme Catalogue

MSc Financial Mathematics

Programme code:MSC-BS/FMUCAS code:
Duration:12 Months Method of Attendance: Full Time
Programme manager:Klaus Reiner Schenk-Hoppe Contact

Total credits: 180

Entry requirements:

A good first degree (upper second or above) in a relevant subject. For applicants whose first language is not English; TOEFL score of 580 overall and 4 in the TWE (or a score of 240 in the computer based test and 4 in the essay), or IELTS scores of 6 or more in each section and 6.5 overall; and competence at level 1 or 2 mathematics.

School/Unit responsible for the parenting of students and programme:

Leeds University Business School (LUBS)

Examination board through which the programme will be considered:

Leeds University Business School (LUBS)

Programme specification:

The programme is offered by one of the country's leading Business Schools for graduates with a first degree in a relevant subject area. Complementary to the existing portfolio of Accounting and Finance Masters programmes, it gives a unique focus on mathematical, analytical and quantitative skills acquisitions within the area of finance, and the inclusion of econometric skills. The programme also offers the option of transfer between two streams, Stream I which includes a dissertation, and Stream II which includes further taught modules and professional skills training. The School is one of relatively few in the UK to have EQUIS accreditation from the European Foundation for Management Development (January 2002) and is highly rated for research, with a prestigious '5' grade (RAE2001) and for learning and teaching, which is rated as 'excellent' across the whole range of programmes provided (Subject Review 2001).

The programme will:

- Facilitate and promote students' intellectual and personal development in order to equip them for professional or equivalent roles in society and provide them with a capacity and motivation for continued intellectual development.
- Facilitate intellectual development and independent learning by providing access to career-related cognitive and interpersonal skills and developing of a range of transferable skills, building upon the previous achievements of candidates by providing advanced study either for a career, or in preparation for further study.
- Offer opportunities to develop a critical understanding of relevant theoretical and empirical literature; apply acquired skills and knowledge to specific research questions; and demonstrate the ability to independently research topics in the relevant subject area.
- Provide a learning environment which promotes active participation in the learning process with a strong emphasis on group and syndicate work, designed to enhance team-working skills through active membership of syndicate and discussion groups, sharing experience and a variety of approaches to ideas, analyses and applications.

And also:
- Provide assistance to all students in preparing for post-graduate study during a two week Foundation Session, during which there are additional sessions for international students, including opportunities for further study of English language.
- Provide a mix of high-quality academic material and material providing opportunities for the development of professional skills and the acquisition of the knowledge and skills required for the financial world (in particular for quantitative-oriented tasks), and the acquisition of knowledge relating to mathematical finance, through compulsory modules such as Corporate Finance, Actuarial Mathematics, Financial Econometrics, Mathematical Review, Discrete Time Finance, Financial Derivatives, Continuous Time Finance, Risk Management, and Computations in Finance (Streams I and II); and Professional and Research Skills, and Optimisation for Finance (Stream II).
- Give access to specialist optional modules relating to the financial mathematics environment which provide further opportunity for skills and knowledge acquisition, in topics such as Consumer and Corporate Credit, and Securities Markets Microstructure (Stream II) - which also test academic ability.
- Through the compulsory modules, enable the development of a range of skills relating to financial mathematics from the perspective of financial institutions, multinational corporations and investors; and a wide range of personal and interpersonal skills, including self-managed and co-operative learning, effective communication and the ability to utilise information technology.

- Either:
Stream I: Through the compulsory dissertation draw together the knowledge, understanding and skills acquired in the taught elements of the programme, by designing, initiating, carrying out and completing the in-depth study of a particular topic in the discipline chosen by the stud ent.
- Or:
Stream II: Through the additional taught modules, including the compulsory Professional and Research Skills, build a greater depth and breadth of knowledge, understanding and skills, and draw these together in the compulsory project/assignment by designing, initiating and carrying out the study of a problem of relevance to the areas of finance and financial mathematics, that is the Professional and Research Skills assignment/project.

Year1 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment, Learning Context]

Compulsory modules:

Candidates will be required to study the following compulsory modules:

LUBS5004MCorporate Finance15 creditsSemester 1 (Sep to Jan)
LUBS5032MRisk and Insurance15 creditsSemester 1 (Sep to Jan)
LUBS5042MFinancial Econometrics15 creditsSemester 1 (Sep to Jan)
LUBS5050MFinancial Derivatives15 creditsSemester 2 (Jan to Jun)
MATH5310MMathematical Review15 creditsSemester 1 (Sep to Jan)
MATH5320MDiscrete Time Finance15 creditsSemester 1 (Sep to Jan)
MATH5330MContinuous Time Finance15 creditsSemester 2 (Jan to Jun)
MATH5340MRisk Management15 creditsSemester 2 (Jan to Jun)
MATH5350MComputations in Finance15 creditsSemester 2 (Jan to Jun)

Candidates are eligible for the award if they pass 150 credits of modules, including any compulsory to pass modules, with an overall average module grade above 50, calculated across the 180 credits of modules studied.

Optional modules:

Stream I Dissertation candidates will be required to study the following modules:

LUBS5046MResearch Methods in Financial Mathematics
Pre-requisite for: LUBS 5048M
15 creditsSemester 2 (Jan to Jun)
LUBS5048MFinancial Mathematics Studies Dissertation30 creditsSemester 2 (Jan to Jun)

Stream II Non-dissertation candidates will be required to study the following modules:

LUBS5040MProfessional and Research Skills15 creditsSemester 2 (Jan to Jun)
MATH5360MOptimisation Methods for Finance15 creditsSemester 2 (Jan to Jun)

Stream II Non dissertation candidates will be required to study 15 credits from the following optional modules:

LUBS5036MConsumer & Corporate Credit15 creditsSemester 2 (Jan to Jun)
LUBS5038MSecurities Markets Microstructure15 creditsSemester 2 (Jan to Jun)

Last updated: 28/06/2005


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