国际学生入学条件
A bachelor degree with a 2:1 (hons) in a subject containing a substantial mathematical and statistical component You’ll have a foundation in statistics including strong grades in statistical modules (no key marks below 2:2) We may ask for further detailed module information if these are not clear on your transcript We do not normally accept degrees in Accountancy or Finance International We accept a range of international equivalent qualifications For more information, please contact the Admissions Team.
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IDP—雅思考试联合主办方

雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:88
- 托福笔试总分:160
- 其他语言考试:PTE - 64 overall and no less than 60 in any component.
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
该课程将对主流高级统计建模的深入培训与金融数学专业相结合。带有财务应用程序的统计MSc是一个重点学位课程,使您能够拓宽和加深对统计和财务应用程序的理解。除了数学学院的统计专业知识外,理学硕士还利用金融数学的经验,这是数学学院与利兹大学商学院之间的合资企业。<br> <br>该课程的前两个学期将由讲授的模块组成,在第三学期,您将把时间用于主要论文。在每个学期中,您将选修三个必修模块,其中一些可选模块可满足您的个人需求,以拓宽您的统计学知识。在第一学期,您将被介绍给统计计算,重点是基于采样的方法,包括Mark
Data is integral to our society and there’s an ongoing demand for numerate specialists in a broad range of industries. From finance to governmental departments, the emergency services to gaming – the career opportunities that’ll open up to you with a Statistics MSc could be far-reaching. Our Statistics with Applications to Finance MSc is a focused degree programme which enables you to broaden and deepen your understanding of statistics and financial applications. It combines in-depth training in mainstream advanced statistical modelling with a specialisation in financial mathematics. As well as the statistics expertise from within the School of Mathematics, the MSc also draws on experience in financial mathematics from Leeds University Business School. Both the School of Mathematics and the Leeds University Business School are home to specialist facilities and passionate academics who are experts in their fields. These Schools are also responsible for delivering internationally excellent research and have strong links with industry and a whole range of research institutions. This means, once you’ve graduated, you’ll be fully equipped with the most up-to-date practices and techniques, alongside the technical skill set you’ll need to pursue an exciting career in a variety of job roles. Why study at Leeds: This Masters degree is accredited by the Royal Statistical Society. Our globally-renowned research conducted right here on campus in the School of Mathematics and Leeds University Business School feeds directly into the course, shaping your learning with the latest thinking in areas such as probability and financial mathematics, modern applied statistics and analysis. Benefit from our School’s close links with organisations like Leeds Institute for Data Analytics, Leeds Institute for Fluid Dynamics and the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence. Advance your knowledge and skills in key areas of statistics, risk management and time finance. Tailor the degree to suit your specific interests with a large selection of optional modules to choose from, with everything from programming to statistical computing, mixed models to linear regression – plus many more. Put theory into practice by conducting a project which focuses on a topic that matches your interests, giving you the chance to apply the knowledge acquired throughout the course and demonstrate independent research skills necessary for a professional or academic career. Access excellent teaching facilities and computing equipment throughout the school, complemented by social areas and communal problem-solving spaces. Experience expert theoretical and practical teaching delivered by a programme team made up of academics who specialise in a wide range of areas in mathematics and statistics. Be part of a diverse and supportive community of mathematicians from all over the world. Enhance Your Academic and Subject-Specific LanguageAs part of your course, you will have access to the Professional and Academic Communication module that provides valuable insights into studying a postgraduate degree in the UK while helping you develop your academic and subject-specific vocabulary. Through a combination of in-person workshops and independent online study, you will explore the use of technology—such as translation tools and generative AI—to support effective communication. You will also build the language and literacy skills necessary to become a more confident and capable communicator throughout your studies. AccreditationRoyal Statistical SocietyAccreditation is the assurance that a university course meets the quality standards established by the profession for which it prepares its students. This course is accredited by the Royal Statistical Society.
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