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The applications of statistical modelling range from economics and medicine, to social and environmental sciences. Our BSc in Statistical Modelling provides a blend of both theoretical and applied elements of modern statistics, and aims to give students the training in modelling, analysing and interpreting real data that is required in the economy, industry and research. The first two years of the programme cover basic mathematics, probability and statistics. The final two years focus on specialist topics of statistical modelling and advanced courses in Probability and Stochastic Processes. A variety of statistical computer packages are used.
Teaching excellence and student satisfaction
93% of our 2017 graduates reported in the National Student Survey that they were satisfied overall with their course.
Read more about the BSc Statistical Modelling course.
Course contentDetailed course guide
Descriptive Statistics; Introduction to University Mathematics; Calculus; Statistical Science, Professional Development Planning and options from a wide choice, including economics and finance subjects.
Statistics; Probability; Multivariable Calculus; Linear Algebra; Real Analysis and options from a wide choice, including actuarial subjects.
Statistical Inference; Linear and Generalised Linear Models; Stochastic Processes; Analysis of Data; Bayesian Statistics; Survival Models; Statistical Methods for Social Sciences and options from a wide choice, including actuarial and mathematics subjects.
Time Series; Simulation and Statistical Computing; Further Statistical Methods; Special Topics in Statistical Modelling (e.g. in Epidemiology, Ecology or Finance); dissertation and options from a wide choice, including actuarial, financial and mathematics subjects.
More in-depth information on the content of the courses listed above, how they are assessed and the learning outcomes can be accessed via our current student portal.
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