Aims/Description: The unit will introduce students to a range of statistical techniques and give practice in their implementation and interpretation using modern software. It aims to help students develop the knowledge and experience to select and use appropriate statistical techniques for a variety of problems. The emphasis will be on practical application of techniques and knowledge of their scope rather than development of theoretical underpinnings (which will be met in other units). Areas to be covered include: exploratory data analysis, simple checks on data, non-parametric methods (including density estimation), linear and generalised linear modelling, time series, multivariate analysis and display and some of tree-based methods, robust methods, local regression methods, spatial data analysis, non-linear regression techniques and generalised additive modelling. The main software used will be S-PLUS and R; SAS will also be used.

Teaching Methods: Lectures, Independent Study
Assessment: Course work, Presentation

Information on the department responsible for this unit (Mathematics and Statistics):

Departmental Home Page
Teaching timetable


The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

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Teaching methods and assessment displayed on this page are indicative for 2021-22. Students will be informed by the academic department of any changes made necessary by the ongoing pandemic.

Western Bank, Sheffield, S10 2TN, UK