Mathematics and Statistics (Honours)

You’ll develop your understanding of time series analysis, multivariate data analysis, regression analysis, and hypothesis testing; and explore classical and Bayesian approaches to statistics.

Key features of the Mathematics and Statistics (Honours) course at The Open University

– Builds expertise in analytical approaches, classical and Bayesian statistics, and the underpinning mathematical theory
– Offers options to focus on either pure or applied mathematics to fit your interests and ambitions
– Provides experience in conducting and communicating statistical investigations and the use of professional software
– Offers a choice of start points to suit your level of mathematical knowledge
Skills for career development

Mathematics and statistics lie at the heart of many activities, from everyday problem solving and decision making to the formulation of economic policy and the advancement of science and technology. Mathematical knowledge is much sought after by a wide variety of employers, as shown by the Government’s initiative to increase participation in the strategically important STEM subjects (science, technology, engineering and mathematics).

By studying this degree course you’ll be equipped with the skills and knowledge required for jobs in fields such as education and finance or where they can be applied, for example, in science, social science, engineering and technology. It’s widely accepted that a degree in mathematics and/or statistics particularly enhances the following transferable and much sought-after skills:

– communicating mathematical and statistical ideas clearly and succinctly
– understanding complex mathematical and statistical texts
– working with abstract concepts
– thinking logically
– expressing problems in mathematical and statistical language
– constructing logical arguments
– working on open-ended problems
– finding solutions to problems
– interpreting mathematical results and statistical analysis in real-world terms
– conducting statistical investigations and analyses
– using relevant professional software.
Career relevance

There are some careers for which a degree in mathematics and/or statistics is specified. These include teaching, statistical work (including actuarial work), operational research and development, and some areas of computing.

Other career areas directly related to mathematics and statistics include

– accountancy
– banking
– bioinformatics
– data sciences
– economics
– financial services