MSc Statistics (Financial Statistics)  Department of Statistics 所属院系：统计系
Program Overview, Structure, and Courses 项目概览，结构和课程 Program overview The Financial Statistics stream of the MSc Statistics programme is mainly intended for students wishing to pursue careers in the finance industry or as a stepping stone towards PhD study in statistics for finance. 统计学硕士的金融统计方向是为了希望从事金融行业的学生或作为金融统计学博士研究的基础阶段而设的。 It provides high-level training in statistics with applications in finance and econometrics. You will learn to analyse and critically interpret data, build statistical models of real situations, and use statistical software packages. 它提供高层次的统计培训，以及金融和计量经济学中的应用。您将学习分析和批判性地解释数据，建立真实情况的统计模型，并使用统计软件包。 The compulsory courses consolidate your understanding of fundamental ideas in probability and statistics and introduce advanced topics. You can choose options to focus on statistics with applications in social science or in finance and econometrics. 必修课程巩固您对概率统计基本概念的理解，并引入高级主题。你可以选择在社会科学或金融和计量经济学中应用统计数据。 Programme Structure You will take three compulsory courses which will consolidate your understanding of fundamental ideas in probability and statistics and their application in finance. In addition, you will take courses to the value of two units from a range of options, including statistics and methodology courses as well as selected options from the Department of Finance. 您将参加三门必修课程，以巩固您对概率统计学基本概念及其在金融领域应用的理解。此外，你将从一系列的选择中选修两门课程，包括统计和方法课程以及金融系的选修课程。 First term: compulsory courses必修课Statistical Inference: Principles, Methods and Computation Provides comprehensive coverage of some fundamental aspects of probability and statistical methods and principles. 提供全面的涉及概率和统计方法和原则的基本方面。 Financial Statistics Covers key statistical methods and the data analytic techniques most relevant to finance. 涵盖重要的统计方法和与金融相关的数据分析技术。 Time Series Provides a broad introduction to statistical time series analysis. 提供统计时间序列分析的概述 Second term: optional courses选修课Multivariate Methods (H) Stochastic Processes (H) Generalised Linear Modelling and Survival Analysis (H) Multilevel Modelling (H) Non-linear Dynamics and the Analysis of Real Time Series (H) Developments in Statistical Methods (H) Applied Stochastic Processes (H) Insurance Mathematics (H) (withdrawn 2017/18) Probabilistic Methods in Risk Management and Insurance (H) Computational Methods in Finance and Insurance (H) Advanced Probability Theory (H) Stochastics for Derivatives Modelling (H) Recent Developments in Finance and Insurance (H) Introduction to Markov Processes and Their Applications (H) Machine Learning and Data Mining (H) Statistical Computing (H) Econometric Analysis * Financial Risk Analysis (H) Forecasting Financial Time Series (H) Fixed Income Markets (H) Asset Markets A (H) Derivatives (H) Quantitative Methods for Finance and Risk Analysis (H) Algorithms and Computation (H) The Mathematics of the Black and Scholes Theory (H) The Foundations of Interest Rate and Credit Risk Theory (H) Quantifying Risk Modelling and Alternative Markets (H) Survey Methodology (H) Causal Inference for Observational and Experimental Studies (H) Careers 职业 The programme provides excellent opportunities for employment and further study. The programme is also conditionally accredited by the Royal Statistical Society. This means that although an accreditation is given, it will only lead to the award of 'Graduate Statistician’ if you take a specific combination of modules. 该项目为就业和进一步学习提供了极好的机会。该方案也是由皇家统计学会有条件认可的。这意味着，虽然获得了认证，但如果你接受特定的课程，只能获得“研究生统计学家”。
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来自： shenhaoyun > 《统计学硕士》
