Data analytics, particularly Big Data, has become a pivotal force in the 21st century, outstripping traditional data processing and heightening the need for skilled analysts who can synthesize, interpret, and derive insights from complex datasets.This programme equips students with essential techniques in mathematics, statistics, data analysis, and computing through engaging business-oriented problems. It fosters key skills like problem-solving and communication via project-based learning, including topics such as neural networks and deep learning in the second year. Students can opt for a four-year Professional Placement to gain industry experience with leading companies. The course targets accreditation for the Chartered Mathematician designation and uses formative and summative assessments, with final grades weighted more heavily on second- and final-year performance. Typical modules include Algorithms and their Applications, Calculus, and Statistical Programming for Data Analytics.
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
A local representative of Brunel University London in Singapore is available online to assist you with enquiries about this course.