哈德斯菲爾德大學

A degree in Mathematics can open the door to a wide range of interesting and exciting careers that studying a STEM subject enables to you to pursue. Mathematicians’ ability to reason logically, to develop quantitative models and to extract information from data means their skillset is valued everywhere. These skills are required across a variety of organisations that need to interpret meaning from big data sets, a process which is often referred to as data science. Industries include, aerospace, energy, social media, environmental, pharmaceutical, finance and electronics - to name just a few of the sectors eager to employ mathematically qualified graduates. Our degree focuses on the mathematics you’ll need to solve real world problems using: * Mathematical modelling. * Data analytics. * Statistics. * Computing. We look at calculus from the basics and underlying theory all the way through to the partial differential equations used to model flowing water and financial instruments. Statistics is covered from basic probability to the frontiers of Big Data. We also include a healthy dose of numerical computing so you are able to use mathematical software and write programs making use of the techniques you’ve learned. Our teaching has a clear focus on developing thorough logical reasoning skills and meaningful quantitative models. Theoretical knowledge is extended through its analysis and practical application to real-life problems. As well as the technical skills needed, we offer modules where you work in groups to solve real world problems. This allows you to develop experience in project management and team work skills. More importantly it introduces you to the creative side of mathematics, developing new models and new techniques and explaining what you’ve done to a non-technical audience. After your second year you’ll have the opportunity to take a placement year, putting into practice the techniques you’ve learnt. Our dedicated Placement Unit have links with companies in the UK, Europe and beyond. As with many academics I love the “aha” moment when a student gets a concept. I also enjoy it when students are learning a new mathematical technique and ask me what they will ever use it for: that’s a great excuse to talk about some of the work I’ve done with industry and explain how differential equations can be used to model coffee brewing, or how integrals can be used to describe the molding of contact lenses. ~ Professor William Lee, Senior Lecturer.