BSc Mathematics for Data Science

The Mathematics for Data Science BSc offered by Brunel University London is designed to give students an extensive understanding of mathematics, with a specific focus on the application of mathematics in the field of data science. The course combines a computer-based approach with pure and applied mathematics to build skills that are highly valued in the modern world. The programme develops competent data scientists who are prepared to apply mathematical principles and methods to solve complex problems.Course Content: The full-time three year course provides students with an understanding of key concepts including mathematical methods, computer programming, mathematical modelling, dynamical systems, and probability, amongst other topics. The course further combines contemporary software with real-world applications to provide students with a comprehensive view of the field of data science.Key Modules: Some of the essential modules include Mathematics for Data Science, Computational Mathematics, Statistics, Calculus, Algebra, Computer Programming, Mathematical Methods and Modelling, and Uncertainty Modelling. There is also the opportunity for students to cover specific subjects in greater detail during their final year.Accreditations: Once successfully complete, the Mathematics for Data Science BSc course offers a qualification that is accredited by the Institute of Mathematics and its Applications - the UK's professional body for mathematicians.Future Careers: Graduates of the Mathematics for Data Science BSc course will have a wide range of career possibilities available to them. The skills learned on this course apply directly to fields such as quantitative finance, data analysis, teaching, software testing and development, systems analysis and development, and operational research, amongst others. For more information on this course, please visit the official course page.