统计支持现代世界的许多方面，从科学技术到金融和商业。它们使我们能够克服科学，工业和社会问题，对硕士学位的理解对许多职业都是有益的。<br> <br>我们的皇家统计学会（RSS）认可的硕士学位计划将理论研究与实际研究相结合，世界应用。这意味着在这一年中，您将发展高级统计技能和知识，同时有机会将所学知识付诸实践并获得宝贵的现实经验。因此，毕业后，您将有理想的位置去追求自己的事业抱负，并在自己的领域取得进步。
By successfully completing the programme you will join our existing alumni who can be found working in both the private and public sectors, helping to find solutions to medical, scientific, industrial and social challenges.<br><br>Why Lancaster<br>Our Royal Statistical Society-accredited MSc Statistics programme is the perfect blend of mathematical theory with real-world application. Over 12 months you will develop an advanced statistical skillset and understanding, with multiple opportunities to put what you learn into practice. Upon graduating, you will be ideally placed to pursue a career as a statistician or to apply for a PhD programme. Whatever your final destination, our graduates can be confident in their mathematical understanding and the analytical, programming, and critical-thinking skills that they have gained during their time with us.<br><br>Our MSc Statistics is the product of almost 25 years of experience in delivering top-quality training to graduates of undergraduate programmes in mathematics and statistics. The programme is carefully structured to provide a progressive learning experience.<br><br>In the first term, our students develop and strengthen their core knowledge and skills in classical and modern statistical methods and inference. Topics covered include frequentist and Bayesian inference, generalised linear models, statistical programming and communication.<br>In the second term, students select from a set of advanced specialist modules. These modules, which vary in their balance between theory, methods and application, cover a wide variety of statistical topics. Students are supported in selecting modules that best reflect their own interests and career aspirations.<br>In the third and final term, our students undertake an individual project. These projects are tailored to the interests and needs of the individual student: some may use them to progress their understanding of a topic covered in a taught module, others to investigate a methodological topic not covered by one of the taught modules, and others to expand their data analysis skills. Regardless of the contents of the project, all students work under the guidance of an experienced statistical researcher, progressing beyond classroom learning to develop a working understanding of statistical methodology and build their confidence in working independently and leading the statistical direction of a project.<br>Medical Statistics<br>The medical, healthcare and pharmaceutical sectors are one of the largest employers of our graduates. For those interested in a career in one of these areas we recommend our Medical Pathway, taking modules in Clinical Trials, Principles of Epidemiology, Multilevel and Longitudinal Data Analysis and Survival and Event History Analysis.