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Statistics is enduringly and increasingly important for making sense of the enormous amounts of data in today’s world

If you have enjoyed mathematics at A level and are interested in the applications of statistics to the social sciences you should consider this subject.

Take a look at what Statistics graduates have gone on to do.

**Dr Wicher Bergsma**

BSc Statistics with Finance Course Tutor

**Course requirement:**GCSE pass at grade A or A* in Mathematics.**Normally required:**A level: grades A A A, one of which must be Mathematics. Further Mathematics is highly desirable.**International Baccalaureate:**Diploma with 38 points including 7 6 6 at Higher level (with 7 in Mathematics).

The BSc Statistics with Finance degree involves studying courses to the value of twelve units over three years as indicated below.

- ST102 Elementary Statistical Theory
- MA100 Mathematical Methods
- EC102 Economics B
- AC104 Elements of Accounting, Financial Institutions and Financial Management
**or**MA103 Introduction to Abstract Mathematics

*Note that AC104 is a pre-requisite for all AC courses at levels 2 and 3

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.

5. MA212 Further Mathematical Methods

6. ST202 Probability, Distribution Theory and Inference

7. Courses to the value of one unit (to be discussed with tutor)

8. FM212 Principles of Finance

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.

9. ST304 Time Series and Forecasting (half) **and** ST300 Regression and

Generalised Linear Models (half)

10. Courses to the value of one unit in advanced topics in mathematics, statistics

or operational research

11. FM300 Corporate Finance, Investments and Financial Markets **or** FM320

Quantitative Finance

12. Courses to the value of one unit in mathematics, statistics or finance, or a

topic of choice from other departments

Have a look at the BSc Statistics with Finance regulations for more information on option courses.

You will usually attend a mixture of lectures and related classes totally between ten and fifteen hours per week. Your Academic Mentor will be able to offer general guidance and assistance with both academic and personal concerns and you will be expected to meet him or her at least three times a term.

Most courses are assessed by a three hour examination in June. A small number of courses are assessed by project work. The class of degree you will attain is based on the assessment over all three years with the emphasis on marks gained in the second and third years.

The following books can help prepare for the programmes:

- V Bryant
*Yet Another Introduction to Analysis*(Cambridge University Press, 1990) - N L Biggs
*Discrete Mathematics*(Oxford University Press, 2003) - P Eccles
*An Introduction to Mathematical Reasoning*(Cambridge University Press, 1998) - D Hand
*Statistics: a very short introduction*(Oxford University Press, 2008)

The following are books on mathematics and statistics containing little to no formulas:

- A Dilnot
*The Tiger That Isn't: Seeing Through a World of Numbers*(Profile books, 2007) - K J Devlin
*The Millennium Problems: the seven greatest unsolved mathematical puzzles of our time*(Granta Books, 2005) - P J Davis and R Hersh
*The Mathematical Experience*(Houghton Mifflin, 2000) - J S Rosenthal
*Struck by Lightening: the curious world of probabilities*(Harper Collins, 2005)

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