BSc Mathematical Modelling
About this course
Mathematical modelling is the art and science of using mathematics to represent, analyse, and predict the behaviour of real systems. From the spread of infectious diseases and the flow of fluids to the dynamics of financial markets and the mechanics of engineering structures, mathematical models are central to how we understand and make decisions about the world around us. The discipline sits at the intersection of pure mathematics, applied mathematics, and statistics, and it develops a set of quantitative and analytical skills that are among the most broadly applicable in higher education. At Aberystwyth University, this three-year full-time degree teaches you how to use mathematical theory to develop predictive models in the physical and life sciences and in engineering. You will gain expertise in mathematical analysis and statistical modelling, learning to evaluate hypotheses and analyse real-world problems with rigour. At the same time you will develop a firm grounding in the techniques of data collection, classification, organisation, analysis, and interpretation, which are core skills for any mathematically trained professional. A typical entry tariff of 120 points applies. You will study differential equations, linear algebra, numerical methods, statistical modelling, computational mathematics, and the mathematical methods specific to different application domains. The degree develops not just mathematical knowledge but the problem-solving habits and logical thinking that make mathematicians and statisticians highly valued by employers across many sectors. Graduates from mathematical modelling programmes go on to careers in data science, actuarial work, financial analysis, engineering consultancy, environmental science, pharmaceutical research, software development, and the civil service. Postgraduate study in applied mathematics, statistics, data science, or a specialist application domain is a natural route for those wishing to deepen their expertise or pursue research careers.
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