Mathematics with Data Science

University of Surrey

What you will study: Our mathematics with data science courses help you build on your current knowledge and gain a strong foundation across the fundamentals of mathematics, data science and statistics. This includes algebra, analysis, probability and advanced calculus. Data science and statistics modules together comprise between one-quarter and one-third of the programme. In your first year, you'll learn the fundamental role of mathematics for data science, develop your mathematical programming skills using Python (which will be further developed in Year 2) and gain experience with R programming. In Year 3, you’ll be able to choose from a broad range of optional modules in topics such as experimental design, asset pricing theory, mathematical theory of data science, Bayesian statistics, and graphs and networks. Professional recognitionBSc (Hons) - Institute of Mathematics and its Applications (IMA) This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees. Foundation yearIf you don’t meet our entry requirements, you might still be able to apply for this degree with a Mathematics and Computer Science Foundation Year. This is an extra year of study to develop your skills and make it easier for you to get started at university. On successful completion of your foundation year, you’ll be ready to progress to the first year of your BSc Mathematics with Data Science degree. To see what modules you’ll be studying, refer to the foundation tab in the 'Course structure' section.

FEPS - Department of Mathematics