Mathematics for Data Science, BSc (Hons)

Data analytics, particularly Big Data, is a pivotal field in the 21st century, with growing demand for skilled analysts capable of compiling, interpreting, and deriving insights from complex datasets. This programme integrates essential techniques in mathematics, statistics, data analysis, and computing, allowing students to address real-world problems from business and industry. It builds a strong foundation for developing algorithms that detect patterns and extract value from vast data, while fostering key graduate skills like problem-solving and communication through project-based learning. For instance, in the second year, students explore neural networks and deep learning, combining linear algebra, nonlinear functions, and optimisation to create and explain their own models, emphasising practical application and mathematical understanding.The four-year Professional Placement option provides opportunities for well-paid placements with leading companies, enhancing employability through transferable skills. Typical modules include Algorithms and their Applications, Calculus, Statistical Programming for Data Analytics, Decision Making in the Face of Risk, Stochastic Models, and Scientific Computing. Assessment combines formative methods, such as quizzes and exercises, with summative evaluations via coursework and exams, with the final degree classification weighted twice as heavily on the final year compared to the second year.

Typical Modules Algorithms and their Applications Calculus Statistical Programming for Data Analytics Decision Making in the Face of Risk Stochastic Models Scientific Computing For a full list of modules please visit our website https://www.brunel.ac.uk/study/undergraduate/mathematics-for-data-science-bsc