我们创建了统计学硕士课程，以教您各种统计学技术背后的理论，以及如何将其应用在专业统计学家每天所面临的场景中。学生毕业后将具备专业的建模和分析技能，雇主需要解释构成21世纪许多专业基础的复杂数据集。本课程为您做好从事统计学家的职业准备。您将学习如何解决实际的统计问题并发展包括演示和时间管理在内的个人技能。<br>持续时间<br> 1年全日制<br> 2-3年兼职通过远程学习
Build up a set of statistical tools and techniques that you can use to solve problems in a range of industries. You'll develop the skills and knowledge a professional statistician needs.<br>This course will teach you the theories behind a variety of statistical techniques, and how to apply them in scenarios that professional statisticians face every day.<br><br>Youll develop a detailed working knowledge of important statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics, time series and machine learning. Youll learn how to analyse and draw meaningful conclusions from data, and develop your programming skills using the statistical computing software R.<br>This course also includes modules on how to collect data and design experiments, and the role of statistics in clinical trials.<br>Around one-third of the course is devoted to your dissertation. This may focus on investigating a data set, or a more theoretical or methodological topic. The aim is to give you skills to include on your CV, such as planning and researching a project, data acquisition, problem specification, analysis and reporting your findings.<br><br>Dissertation topics are often provided by external clients for example, pharmaceutical companies or sports modelling organisations. Distance learning students often come with projects designed by their employer.<br><br>Your career<br>You'll graduate with the specialist modelling and analysis skills employers need to interpret the complex datasets that underpin many 21st century professions from business, manufacturing and marketing to policymaking, science and healthcare. <br>Employers that have hired graduates from our School of Mathematics and Statistics include Amazon, Barclays, Dell, Goldman Sachs, IBM, PwC, Sky, the NHS and the Civil Service.<br>This degree satisfies the eligibility criteria for the Royal Statistical Society's Graduate Statistician award a stepping-stone to full professional membership of the RSS and Chartered Statistician status.