应用统计专业型硕士研究生培养方案

应用统计专业型硕士研究生培养方案

（领域代码：0252，授应用统计硕士）

Education Plan for Professional Graduate in Applied

Statistics Major

（Discipline Code:0252,Award Master Degree of Applied Statistic）

一、培养目标

I Objectives

掌握马克思主义基本原理和中国特色社会主义理论体系，具有良好的政治素质和职业道德。具有严谨的学风及开拓进取、勇于创新的科学精神，具有应用统计专业理论知识水平、应用统计能力及一定的解决实际问题的能力。对本专业相关的应用方向有较广泛的了解，充分掌握现代应用统计的动态及前沿发展趋势。能有效地进行统计应用研究，并突出统计理论与实践问题的结合。具有较强的数据采集、分析处理及统计建模、统计软件开发运用的能力，具有很好的统计计算、统计推理的能力。能掌握应用统计涉及的相关案例领域的专业知识背景，较熟练地掌握一门外语，能阅读本专业外文资料，有一定的口语交流能力及运用外文撰写应用统计的科研论文。能胜任应用统计专业或相关专业的科研、教学、开发、咨询、管理等工作。重点为政府部门和大中型企业培养高层次、高水平的复合型应用统计专门人才。

Grasp the theories of Marxism and Theoretical System of the Chinese characteristic socialism, form good political quality and professional ethics. Have rigorous style and innovative spirit of science; have a solid theoretical knowledge of Applied Statistics; have a certain ability to solve practical problems. Have a broader understanding of the relevant application direction of this major; fully grasp the trend of the modern application of statistics and the trend of development. Can effectively carry on the statistical application research, and highlight the combination of the statistical theory and the practice question. Have the ability of strong data acquisition, analysis and processing and statistical modeling, statistical software development and application, great statistical calculation and statistical inference. Be able to master the professional knowledge background of the relevant case areas involved in the application of Statistics, master a foreign language, can skillfully professional foreign language materials, have a certain ability of oral communication and writing research papers of application statistics in foreign language. Be competent for research, teaching, development, consulting, management and other work of Applied Statistics or related profession. Focus on developing high level of composite applications statistics specialist for the government departments and large and medium-sized enterprises.

二、研究方向

II Disciplinary Research Areas

1、大数据处理与分析（含统计机器学习与挖掘算法、基于统计学方法的数据挖掘与数据结构、数据特征挖掘及应用、数据可视化挖掘技术及应用、面向社会数据挖掘的应用、智慧城市与物联网的大数据分析应用）。

2、统计建模与统计计算（含自主研发的统计软件、多元统计方法与SAS系统应用，线性与广义线性模型、WinBUGS软件、S语言及R软件应用、行业统计模型的建立与分析）；

3、经济与金融统计分析（含金融衍生产品定价、投资组合分析与优化、金融风险管理、物价与指数、经济预测与决策、国民经济统计、统计工作体制机制和方法创新研究）；

①Large data processing and analysis(including Statistical machine learning and mining

algorithm, Data mining and data structure based on statistical method, Data feature mining and its application, Data visualization mining technology and its application, The application of data mining oriented society, Big data analysis applications of smart city and the Internet of things).

②Statistical modeling and statistical computing(including Independent research and development of statistical software, Multivariate statistical method and application of SAS system, Linear and generalized linear models, WinBUGS software, S language and R software application, Establishment and analysis of industry statistical model).

③Statistical analysis of economy and finance(including Pricing of financial derivatives, Investment portfolio analysis and optimization, Financial risk management, Price and index, Price and index, Statistics of national economy, Innovation research on the mechanism and method of statistical work system).

三、学制及学习年限

III Educational System and Years of Study

应用统计硕士专业学位研究生学制2年。采用全日制非定向/委培方式培养，学习年限一般为2年；非全日制委培方式培养，学习年限一般为2年。

The educational system for a full-time professional graduate of applied statistics is two years. The study period lasts generally two years for full-time mode and two years for part-time mode. 四、课程设置及学分要求

IVCurriculum System and Credit Requirements

毕业总学分不低于30学分，其中公共课不少于4学分，专业必修课不少于12学分，专业选修课不少于8学分，必修环节不少于6学分（其中实践环节不少于6个月）。

The Master course requires 30 or more total credits, includingpublic degree courses not less than 4 credits, professional degree courses not less than 12 credits, electivenot less than 8 credits,