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BSc Financial Mathematics and Statistics

lse.ac.uk/maths

UCAS code: GN13

Programme requirement:
 A level pass at grade A* in Mathematics or International Baccalaureate Diploma with 7 in Higher level Mathematics.

Usual standard offer:
  A level: grades A* A A with an A* in Mathematics. Further Mathematics A level is highly recommended. Students not taking Further Mathematics to A level will normally be required to achieve grade A in Further Mathematics AS level in addition to A* (Mathematics) A A at A level

International Baccalaureate: Diploma with 38 points including 7 6 6 at Higher level (with 7 in Mathematics)

Other qualifications are considered

For further details see lse.ac.uk/ug/apply/mth

Applications 2015: New programme for 2017

First year students 2015:
 New programme for 2017

The demand for mathematically and statistically trained people is higher than ever, particularly in a world full of data that needs to be understood. This programme will provide a range of subject knowledge and transferable skills that employers value highly. Graduates will have a very strong mathematical and statistical background, combined with knowledge of economics and finance, and training in coding and computation in addition to the other, broader, elements of an LSE education (such as provided by LSE100).

Graduates are likely to find opportunities not only in the finance sector, but in many other areas where quantitative analysis and data-handling are important. The programme will: 

  • provide a degree course, suitable for students of high ability, combining and relating financial mathematics and statistics within a social science institution
  • prepare students for further study, or for professional and managerial careers, particularly in areas requiring the application of quantitative skills
  • provide students with a knowledge of financial mathematics and statistics and the interaction between the two

First year:

Second year:

(* half unit)

Third year:

Please note that not every course is available each year and that some courses may only be available with the permission of the course convenor and/or may be subject to space.

You can find the most up-to-date list of optional courses in the Programme Regulations section of the current School Calendar.

You must note however that while care has been taken to ensure that this information is up to date and correct, some circumstances may cause the School to subsequently change, suspend or withdraw a course or programme of study, or change the fees that apply to it. The School will neither be liable for information that after publication becomes inaccurate or irrelevant, nor for changing, suspending or withdrawing a course or programme of study due to circumstances outside of its control. You must also note that places are limited on some courses and/or subject to specific entry requirements. The School cannot therefore guarantee places on its courses. You should visit the School’s Calendar, or contact the relevant academic department, for information on the availability and/or content of courses and programmes of study. Certain substantive changes will be listed on the updated undergraduate course and programme information page.

Programme details

First year

You take four compulsory foundation courses that provide an underpinning for the more advanced courses in the Second and Third years. You will take Economics A or Economics B, depending on your economics background. (Economics B is only for students with A level Economics or equivalent.) Mathematical Methods will continue your A level studies (or similar) and includes calculus and linear algebra.

Elementary Statistical Theory is an introductory university-level course in Statistics. Introduction to Abstract Mathematics will give you an introduction to modern mathematics with emphasis on careful reasoning and proof.

Second year

In the second year, you take five courses (two of which are ‘half-unit’ courses, each taught over one term rather than two). In Principles of Finance, you will study the theory of financial decision-making by firms and examine the behaviour of the capital markets in which these decisions are taken.

Further Mathematical Methods continues your study of calculus and linear algebra, following on from Mathematics Methods.

Probability, Distribution Theory and Inference continues the study of statistics and provided further statistical foundations for more advanced courses. Real Analysis follows on from the Introduction to Abstract Mathematics course in the first year. Introduction to Pricing, Hedging and Optimisation introduces the concepts of valuation, hedging and portfolio selection. 

Third year

In the third year you take three compulsory courses (two of which are half-units), a selection from specified mathematics and statistics courses, and a further approved course (or two half-unit courses). You take Quantitative Finance, which covers financial risk analysis, financial risk management and derivatives pricing.

You will also take the course Computational Methods in Financial Mathematics, which introduces you to a range of computational approaches to solve mathematical problems in finance, and Financial Statistics, which covers the key statistical methods and data-analytic techniques most relevant to finance.

You take two of the following half-unit courses: Measure Theoretic Probability, Mathematics of Finance and Valuation, Regression and Generalised Linear Models, Stochastic Processes. (Mathematics of Finance and Valuation and Stochastic Processes cannot both be taken, and Mathematics of Finance and Valuation can only be chosen if Measure Theoretic Probability is also.) Measure Theoretic Probability studies the fundamentals of modern probability theory.

Mathematics of Finance and Valuation studies the mathematical tools of stochastic calculus and develops the Black Scholes theory of financial markets.  

Regression and Generalised Linear Models provides a solid coverage of the most important parts of the theory and application of regression models, generalised linear models and the analysis of variance. Stochastic Processes is a course in stochastic processes, with applications to insurance. 

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