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Statistics and Computing, BSc Hons

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  • Academic Title
    Statistics and Computing, BSc Hons
  • Course description
    The computing focus of this degree programme is complemented by its statistical content. In particular, systems building and software engineering are combined with statistical methods, probabilistic modelling and data analysis to give a computational approach to the use of statistics.

    This degree provides a grounding in the techniques and principles commonly used by the professional statistician, with a firm foundation in the theoretical basis of the techniques, but with an emphasis on application and the use of statistical software. Meanwhile the computing element of the programme will help students understand how computer systems are developed and how to design and build them.

    As a whole, the programme presents students with an opportunity to acquire the skills of a statistician together with the ability to implement them on modern-day computer systems, a facility which will be valued by most employers.

    In response to increased interest by students wishing to pursue a career in teaching, we have developed new final year courses including Mathematics in Society, Issues in Maths Education, and the Undergraduate Ambassador Scheme. In particular, the ambassador scheme aims to encourage and nurture a new generation of mathematicians and gives students the opportunity to gain classroom experience as one of their final year options.

    Year 1

        * Computer Programming (Java)
        * Systems Building
        * Calculus and Mathematical Methods
        * Statistics – Descriptive Stats, Probability, Regression and Correlation

    Year 2

        * Internet Database Systems Development
        * Systems Building
        * Operational Research
        * Matrices and Vector Spaces
        * Statistics – Analysis of Variance, Time Series and Forecasting

    Optional Sandwich Year (Work Placement)

    Final Year

        * Individual Project
        * Option chosen from:
              o Statistical Models A / Statistical Models B
              o Design and Analysis of Experiments
              o Financial and Mareket Modelling and Analysis
              o Network Management
              o Artificial Intelligence
              o Scheduling Models and Algorithms
              o Mathematics Education and Communication (Undergraduate Ambassador Scheme- teaching experience)
              o Maths in Society
              o Issues in Mathematics Education

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