MMath Mathematics (research placement)
About this course
Mathematics is the language of pattern, structure and logical necessity, and studying it at degree level develops a quality of thinking that is rare and consistently in demand. At the University of Sussex this four-year programme, which includes a foundation year and a research placement, is designed to show how mathematical thinking can be applied to real-world problems while also developing the theoretical foundations that make those applications possible. The research placement embedded in the programme gives you the opportunity to work alongside mathematicians on active research, experiencing first-hand what mathematical inquiry looks like at the frontier. The foundation year builds your mathematical foundations and academic confidence before the main degree begins, making the programme accessible to motivated students who benefit from additional preparation. Across the following three years you will study analysis, algebra, probability, statistics, numerical methods and applied mathematics, developing both the ability to construct rigorous proofs and the quantitative tools to model real phenomena. Sussex's mathematicians work on problems ranging from epidemiological modelling to flood prediction to the mathematics of social networks, and the research placement connects your academic studies to these live applications in a way that develops your scientific thinking as well as your mathematical technique. Mathematics graduates are among the most sought-after in the graduate labour market. Finance, data science, actuarial work, software engineering, machine learning, operations research, government analytical roles and management consultancy are among the most common career destinations. Teaching in secondary schools is a further path, and the research placement experience strengthens applications to postgraduate programmes and academic research careers. Some graduates go on to doctoral research in pure or applied mathematics or in mathematical biology, physics, economics or computer science, using the strong undergraduate foundation as the springboard for more specialised academic work.
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