BSc Biology and Mathematics
About this course
Biology and mathematics is a combination whose time has well and truly come. The life sciences have been transformed in recent decades by the application of mathematical and statistical methods to biological questions, from population genetics and evolutionary dynamics to the modelling of protein structures, the analysis of genomic data, and the mathematical description of how ecosystems respond to disturbance. Students who can move fluently between biological and mathematical reasoning are in genuine demand in research, industry, and public health. At Stirling you will develop both disciplines seriously across a four-year programme. Biology study will cover cell biology, ecology, genetics, physiology, and evolutionary biology, giving you a thorough grounding in the science of living systems across scales from the molecular to the ecological. Mathematics study will develop your skills in calculus, algebra, statistics, and probability alongside the mathematical modelling methods that are directly applicable to biological problems. The combination allows you to engage with quantitative approaches to biology that are not accessible to students without mathematical training, and to bring biological intuition to mathematical problems that would otherwise remain abstract. The four-year programme includes a year abroad, giving you the opportunity to study biology and mathematics in a different national context and to develop an international perspective on research in these fields. Graduates are particularly well placed for careers in biological and biomedical research, pharmaceutical and biotechnology companies, ecological and environmental consultancy, public health agencies, and academic research. The combination of biological understanding and mathematical fluency is also valuable in data science roles with a biological or medical focus. Many students continue to postgraduate research in areas such as computational biology, bioinformatics, mathematical ecology, or quantitative genetics.
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