Programme Specification for 2011/12
BSc (Hons) Financial Mathematics
The analysis of modern financial market data relies heavily on mathematical and statistical techniques. Mathematical techniques and tools devised using financial mathematics have contributed greatly in the development of the financial services industry and continue to play a key role in this sector.
In this regard, there is an increasing demand for people with appropriate mathematical and statistical skills and background with a good understanding of the mathematical modeling applied in this area. This programme aims to produce graduates with relevant mathematical and statistical background to enter careers in financial services industry and also in insurance sectors.
This programme will provide a firm foundation to the mathematics and statistics that is in daily use in the financial industry. A mathematical and statistical background is provided in areas like calculus, probability and statistics in the first year. This leads to advanced studies in financial mathematics, including asset price modeling, the risk-neutral pricing of financial derivatives, time series analysis, actuarial maths, and possibly portfolio optimization and/or computational finance to prepare graduates with relevant mathematical and statistical background to enter careers in the financial services industry and also in actuarial and insurance sectors.
The final year will include an advanced project on a topic in financial mathematics. The overall aim is to equip the student with the necessary skills for graduate-level entry into the financial services sector or further study in financial mathematics.
What's the difference between ...
BSc (Hons) Financial Mathematics and other maths programmes?
The following is an indication of current programme content. However, the rapidly changing nature of the subject area means that both the courses offered, and individual course content, are likely to change in future years. Finally note that certain combinations of options may not be available.
For details of timetabling and study patterns, see the timetables page. All courses are 30 credits unless otherwise stated.
- Calculus & Mathematical Methods
- Mathematical Technology & Thinking
- Discrete Mathematics & Combinatorics
- Probability & Statistics
- Linear Algebra
- Numerical Mathematics & Computer Algorithms
- Operational Research & Personal Development
- Statistical Methods
Optional Sandwich Year
For students who choose a sandwich degree, the third year is spent in industry or business on a fully paid work placement, which we help to arrange.
- Research Methods & Project or Mathematics Education & Communication (Undergraduate Ambassador Scheme - teaching experience) or Mathematical Industry Placement
- Actuarial Mathematics - 15 credits
- Financial Modelling & Analysis - 15 credits
- Financial Econometrics - 15 credits
- 45 credits of options - current options include: Advanced Algorithms - 15 credits, Numerical Methods & Software for Partial Differential Equations - 15 credits, Methods of Optimisation - 15 credits, Mathematics in Society - 15 credits, Research Methods & Project, Mathematics Education & Communication (Undergraduate Ambassador Scheme - teaching experience), Scheduling Models & Algorithms - 15 credits, Industrial Applied Mathematics - 15 credits, Mathematical Industry Placement, Mathematics of Image Processing - 15 credits, Analytical Decision Making - 15 credits, Statistical Modelling - 15 credits, Advanced Statistical Modelling - 15 credits
This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees.
Mathsoc is a society run by, and for, maths students at Greenwich.
3 years full-time / 4 years sandwich / 6 years part-time
BSc (Hons) Financial Mathematics - N390 BSc/FM