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2018/19 Taught Postgraduate Programme Catalogue

MSc Financial Mathematics

Programme code:MSC-BS/FMUCAS code:
Duration:12 Months Method of Attendance: Full Time
Programme manager:Charles Taylor Contact address:charles@maths.leeds.ac.uk

Total credits: 180

Entry requirements:

- A good first degree (upper second or above) in a relevant subject; e.g. accounting, finance, economics, mathematics, physics or computing or the Graduate Diploma in Actuarial/Financial Mathematics offered by the School of Maths (2:1 or higher, i.e. an average mark of 60% or higher).
- 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 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 including Corporate Finance, Mathematical Review, Discrete Time Finance, Continuous Time Finance, Risk Management, Computations in Finance and Optimisation for Finance;
- 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 Financial Derivatives, Portfolio Risk Management, Risk & Insurance, Models in Actuarial Science and Behavioural Finance - 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.
- 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 student


Year1 - View timetable

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

Candidates are eligible for the award if they pass the 150 credits of modules (including compulsory to pass modules) and achieve an overall average mark of 50 or above, calculated across the 180 credits of modules

Compulsory modules:

Candidates will be required to study the following compulsory modules:

LUBS5004MCorporate Finance15 creditsSemester 1
MATH5312MDissertation in Financial Mathematics45 credits1 Feb to 30 Sep
MATH5315MApplied Statistics and Probability15 creditsSemester 1
MATH5320MDiscrete Time Finance15 creditsSemester 1
MATH5330MContinuous Time Finance15 creditsSemester 2
MATH5340MRisk Management15 creditsSemester 2
MATH5350MComputations in Finance15 creditsSemester 2
MATH5360MOptimisation Methods for Finance15 creditsSemester 1

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:

Students should select 30 credits from the following optional modules

Candidates will be required to study 30-credits from the following optional modules

LUBS5001MSecurity Investment Analysis15 creditsSemester 1
LUBS5003MPortfolio Risk Management15 creditsSemester 2
LUBS5031MBehavioural Finance15 creditsSemester 2
LUBS5050MFinancial Derivatives15 creditsSemester 2
LUBS5052MInternational Investment15 creditsSemester 2
MATH5325MModels in Actuarial Science15 creditsSemester 2

Last updated: 05/04/2019

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