BSc Mathematics and Psychology
About this course
Mathematics and psychology is a combination that might at first seem to sit at opposite ends of the academic spectrum, but the two disciplines are deeply interconnected in practice. Mathematics develops the analytical, logical and quantitative skills on which modern psychological research increasingly depends: statistical modelling, experimental design, data analysis and computational approaches to understanding the mind all require the kind of rigorous quantitative thinking that mathematics training provides. Psychology, meanwhile, gives mathematical thinking a rich and important domain of application. At the University of Stirling you will follow a four-year programme, developing mathematical skills across areas such as pure mathematics, statistics, and mathematical modelling while also engaging with the full range of psychological science, from cognitive and biological psychology to social and developmental approaches. The programme includes a year abroad, giving you the opportunity to study in an international context and encounter different research traditions in both fields. Stirling's emphasis on mathematics as a driver of careers in science, technology, and finance is complemented by its psychology department's reputation for rigorous experimental and applied research. Graduates of mathematics and psychology have a distinctive combination of skills that is valued across many sectors. The quantitative training is directly applicable in data science, finance and insurance, market research, health informatics, AI and machine learning, and any role requiring statistical analysis. The psychology component adds understanding of human behaviour, cognition and social processes that is valuable in UX research, organisational consultancy, HR, healthcare, education, and marketing. Many graduates go on to postgraduate study in psychology, statistics, data science, cognitive science, or neuroscience, and some pursue doctoral research in areas where mathematical and psychological methods converge, such as computational cognitive science or psychophysics.
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