数据科学数学数学

全球组织收集和存储的数据量呈指数增长，给所有部门带来了机遇和挑战。对具有组织，分析和从大量结构化和非结构化数据中获得见识的能力的毕业生的需求很高。通过与行业合作开发，我们的综合数据科学数学MMath通过理论与现实实践相结合的方式探索了数学的高级领域，达到了硕士水平，为博士学习或您所选的职业做好了充分的准备。与活跃的研究人员一起学习，您将通过项目工作来开发研究技能，并探索诸如数据管理，数据挖掘，随机建模和人工智能等专业主题。您将使用逻辑和创造力，以及复杂的数学和统计软件（例如Maple，MATLAB，SPS
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.<br><br>Full-time 4 years and With placement year 5 years