Mathematics for Data Science BSc (Hons) at Brunel University of London

Data analytics (Big Data) is a major phenomenon in the 21st century, there is an increasing demand for data analysts trained in this area who can collate, interpret and draw value from complex data sets. This programme brings together a range of techniques that modern data analyst needs. You will study blocks in mathematics, statistics, data analysis and computing, and tackle a variety of interesting and engaging problems from business and industry.

Faculty: College of Engineering, Design and Physical Sciences  |  Department: Department of Mathematics  |  Duration: 3 years full-time; 4 years full-time with placement  |  Study mode: full-time; placement year option  |  Intake: September  |  Location: London, England, United Kingdom

What you will study

By year 2 you’ll be learning through lectures, seminars and in computer labs, and an individual piece of course-work will account for a large portion of year 3. Compulsory modules by year include Year 1: Calculus 1, Calculus 2, Elements of Applied Mathematics 1, Elements of Applied Mathematics 2, Fundamentals of Mathematics, Linear Algebra, Probability and Statistics 1; Year 2: Applied Statistics, Calculus 3, Discrete Mathematics, Linear and Abstract Algebra, Machine Learning for Artificial Intelligence, Probability and Statistics 2, Professional Development and Project Work; Year 3: Practical Machine Learning, Experimental Design and Regression Analysis, Stochastic Models, Data Mining and AI for Big Data Analytics, Applied Optimisation, Data Science Project.

Career pathways

Career prospects for mathematicians are excellent. This course emphasises the relevant mathematical and statistical underpinning while providing the essential practical training needed to function in the workplace.

Official programme page