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BSc Statistics

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  • Objectives
    If you enjoy Mathematics and analysing data, and you wish to learn advanced statistical methods and their implementation by computer systems, then the Statistics degree is an excellent choice. After deepening and widening your understanding of Mathematics and Statistics during the first two years of the course, you will be able to specialise in Statistics in the final year. The degree also offers the opportunity to undertake a placement year in industry, or to study in Europe or in North America. At present we have arrangements for students to study at the University of Grenoble, France, and at the universities of Virginia, Pennsylvania and New Jersey in the USA.
  • Entry requirements
    Entry Requirements GCSE: Maths and English or equivalent Tariff points range: 240-260 Specific subjects: Mathematics, Grade C or above Access: Yes Baccalaureate EB %: 68-70 Baccalaureate IB pts: 26-28
  • Academic Title
    BSc Statistics
  • Course description
    Content

    You will study the equivalent of six modules per year for three years. Each year you will take a number of compulsory modules together with a selection of optional modules.

    In the first year you will take the following five compulsory modules:

        * Structures of Mathematics: This module will revise, strengthen and extend your knowledge of fundamental ideas related to calculus and analytical geometry. In addition, you will learn how to apply calculus methods to the solution of interesting and practical problems.
        * Linear Algebra and Calculus: Linear algebra, which arises from the abstract notion of a vector space, lies at the heart of many pure and applied mathematical ideas and methods. In this module, you will learn about the algebraic and geometric structure of vectors and matrices, and you will see how such ideas may be applied to a variety of problems in areas such as: network analysis (eg traffic management and electrical circuits); dynamical systems (eg in economics and biology); computer graphics.
        * Statistics: In this module, you will be introduced to the statistical analysis of data. Both theoretical and practical aspects will be discussed, and you will learn how to use important statistical computer packages such as Minitab.
        * Mathematical Problem Solving: This module has been designed to develop skills in mathematical modelling. It is here, that you will learn how to set-up and implement a mathematical model, select an appropriate method of solution and interpret results. The use of computer software in the solution and visualisation of mathematical expressions is covered, but no prior knowledge of computing is assumed.
        * Statistical Problem Solving: The solution of problems that require statistical approaches involves first formulating the problem in statistical terms, using efficient and appropriate methods of data collection, followed by summary, analysis, and the effective communication of the results. This module will cover the principles of real-life problems and research, uses of the internet and library resources, and summary and communication of data by way of written reports, oral and poster presentations. The tools used will include Microsoft Office (Word, PowerPoint and Excel, including some Visual Basic) and Minitab statistical software.

    You will choose one further module from option modules.

    In your second year you will take the following four compulsory modules:
    Mathematical Methods 2, Numerical Analysis I, Statistical Modelling and Mathematical Statistics. You will also choose one option module.

    In your final year you will take the following two compulsory modules:
    Advanced Statistics and Business Research Methods. You will also choose a number of option modules. These options enable you to specialise in Applications of Statistics to Industry, Medicine, Econometrics or Decision Making/Operational research disciplines.

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