BSc Statistics with Finance|

UCAS code: G3N3

Programme requirement:
GCSE pass at grade A or A* in Mathematics

Usual standard offer:
A level: grades A A A including Mathematics. Further Mathematics or a science is recommended

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|

Applications 2013: 126

First year students 2013:  15

First year:

(*half unit)

Second year:

Third year:

Please read the following important information before referring to full details of course options found in the Programme Regulations|.

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

Elementary Statistical Theory is concerned with both theory and application and is appropriate whether or not your A level Mathematics course included statistics. It forms the basis for later statistics options. Mathematical Methods will continue your A level studies and includes calculus and linear algebra. Economics B provides an introduction to microeconomics and macroeconomics. Finally, you can choose between the courses Elements of Accounting and Finance and Abstract Mathematics. Elements of Accounting and Finance will give you an introduction to the preparation, uses and limitations of accounting information and the problems of finance and investment. Introduction to Abstract Mathematics is for students who want to deepen their mathematical skills and is useful for certain mathematics and statistics courses in the second and third year.

Second year

You take a course in Further Mathematical Methods, building on the Mathematical Methods course. In Probability, Distribution Theory, and Inference, you will receive the statistical foundations needed for the third year. In the Principles of Finance course you examine the theory of financial decision-making by firms and the behaviour of the capital markets in which these decisions are taken.

For the fourth course you can choose among subjects such as statistical project work, applied regression, actuarial science, real analysis, differential equations, discrete mathematics, optimisation theory, or theory of survey sampling.

Third year

In the third year you have more choices than before. Two half unit courses Regression and Generalised Linear Models covers the most important parts of the theory and application of regression models, generalised linear models and the analysis of variance, and Time Series and Forecasting which introduces statistical analysis of time series data and simple modelsare compulsory, as is a choice of two courses in advanced topics in finance, Corporate Finance, Investments and Financial Markets is a broad-based follow-up to Principles of Finance or Quantitative Finance which covers financial risk analysis and financial risk management  and derivatives pricing. For the remaining two course units various options are available depending on your interests and career plans. You will choose from advanced topics in mathematics, statistics or operational research and one additional course in mathematics, statistics, finance or a topic of choice from other LSE departments.