The curriculum is designed to provide students with a solid foundation in statistical methods, with an emphasis on programming and hands-on experience tackling datarelated, real-world problems. In the first year, you will gain a broad overview of the basic principles of statistical modelling and reasoning, while subsequent years enhance this knowledge with a mixture of theoretical and applied modules to give you a well-rounded learning experience in statistics. Notably, you will learn how to use current statistical software packages, giving insight into how statistical methods are used in practice.
BA Joint Honours
Statistics as part of a BA can be combined with one of nine Arts and Humanities subjects including English, Music, Irish and History.
First Year
Statistics (including statistical modelling) • Mathematics (including calculus) • Plus other subject • Elective Module
Second Year
Statistics (including probability and inference, Bayesian statistics, predictive models) • +1 other subject • Elective Modules
Third Year
Statistics (including advanced predictive models, time series, machine learning, data programming) • +1 other subject • Elective Modules
BSc Social Sciences Joint Major
Statistics as part of a BSc can be combined with one of seven subjects, including Economics and Sociology.
First Year
Statistics (including statistical modelling) • Mathematics (including calculus, linear algebra) • Plus other subject • Elective Module
Second Year
Statistics (including probability and inference, Bayesian statistics, predictive models) • Elective Modules
Third & Fourth Year
Statistics (including advanced predictive models, time series, machine learning, data programming) • Research portfolio • Internship opportunity • Study abroad opportunity • +1 other subject • Elective Modules
Assessment
Assessment will be through a combination of end-of-trimester written examinations, projects and continuous assessment.