MMath (Hons) Mathematics for Data Science
The volume of data collected and stored by organisations across the globe has grown exponentially, bringing opportunities and challenges to all sectors. Graduates with the ability to organise, analyse and gain insight from large sets of structured and unstructured data are in high demand.Developed in consultation with industry, our integrated Mathematics for Data Science MMath explores advanced areas of mathematics to masters-level through a blend of theory and real-world practice, providing excellent preparation for doctoral study or your chosen career.Learning with active researchers, you will develop research skills through project work and explore specialist subjects such as data management, data mining, stochastic modelling and artificial intelligence.You will build your problem-solving abilities using logic and creativity, working with sophisticated mathematical and statistical software such as Maple, MATLAB, SPSS, Lindo, R and SAS.Supported by your lecturers and fellow students, you learn in small groups which creates a close-knit working environment. You will develop your understanding of technical maths and the ability to communicate complex ideas in a clear way to non-specialists. And you will apply mathematical techniques to real-world scenarios such as applying statistics to real data sets and the theory behind the applications.This course is accredited by the Institute of Mathematics and its Applications (IMA).
The volume of data collected and stored by organisations across the globe has grown exponentially, bringing opportunities and challenges to all sectors. Graduates with the ability to organise, analyse and gain insight from large sets of structured and unstructured data are in high demand.Developed in consultation with industry, our integrated Mathematics for Data Science MMath explores advanced areas of mathematics to masters-level through a blend of theory and real-world practice, providing excellent preparation for doctoral study or your chosen career.Learning with active researchers, you will develop research skills through project work and explore specialist subjects such as data management, data mining, stochastic modelling and artificial intelligence.You will build your problem-solving abilities using logic and creativity, working with sophisticated mathematical and statistical software such as Maple, MATLAB, SPSS, Lindo, R and SAS.Supported by your lecturers and fellow students, you learn in small groups which creates a close-knit working environment. You will develop your understanding of technical maths and the ability to communicate complex ideas in a clear way to non-specialists. And you will apply mathematical techniques to real-world scenarios such as applying statistics to real data sets and the theory behind the applications.This course is accredited by the Institute of Mathematics and its Applications (IMA).
