应用统计专业型硕士研究生培养方案.doc
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1、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:(领域代码:0252,授应用统计硕士),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
2、、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 t
3、heories 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.
4、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
5、 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 a
6、reas 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,
7、 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、研究方向二、研究方向II Disciplinary Research Areas1、大数据处理与分析(含统计机器学习与挖掘算法、基
8、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) ; Large data processing and analysis(including Statistica
9、l 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 th
10、e Internet of things). Statistical 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,
11、Establishment and analysis of industry statistical model). Statistical 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 r
12、esearch on the mechanism and method of statistical work system).三、学制及学习年限三、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 stu
13、dy 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, incl
14、udingpublic degree courses not less than 4 credits, professional degree courses not less than 12 credits, electivenot less than 8 credits, professional required courses not less than 6 credits(practice course is not less than 6 months).课程类别课程类别Course category 课程编号课程编号 Course No.课程名称课程名称Course name 学
15、学 时时 Ho ur 学分学分 Cred it 开课学开课学 期期 Semest er 开课单位开课单位 School备注备注Remark 02141102自然辩证法概论 Introduction to Dialectics of Nature1811马克思主 义学院 Marxism Institute必修课 Required Courses公共课 Public degree courses01841002- 006第一外国语(英、日、 法、德、俄语) First Foreign Language (English, Japanese, French, German, Russian)5431
16、外国语学 院 Foreign Language Institute必修课 Required Courses01441308应用数理统计 Applied Mathematical Statistics5431理学院 College of Science必修课 Required Courses专业学位课 Professional Degree Courses01441309数据采集与抽样调查 Data collection and sampling survey5432理学院 College of Science必修课 Required Courses课程类别课程类别Course category
17、 课程编号课程编号 Course No.课程名称课程名称Course name 学学 时时 Ho ur 学分学分 Cred it 开课学开课学 期期 Semest er 开课单位开课单位 School备注备注Remark 01441306数据挖掘与应用 Data mining and Applications5432理学院 College of Science必修课 Required Courses01441307应用多元统计分析 Applied multivariate statistical analysis5431理学院 College of Science必修课 Required Co
18、urses01441310统计建模与计算 Statistical modeling and Computing5432理学院 College of Science必修课 Required Courses01442313大数据与数据分析 Big data and data analysis3622理学院 College of Science01442314计量经济学及应用 Econometrics and its application3621理学院 College of Science01442311统计案例实务 Statistical case practice3622理学院 College
19、 of Science01442315金融统计理论与方法 Theory and method of financial statistics3621理学院 College of Science01442316生物信息与统计 Biological information and statistics3621理学院 College of Science01442312金融 IT 开发与测试 Financial IT development and testing3621理学院 College of Science01442318统计质量管理与控制 Statistical quality manag
20、ement and control3622理学院 College of Science01442319统计预测与决策 Statistical forecasting and decision making3622理学院 College of Science01442320统计学习方法 Statistical learning method3621理学院 College of Science任选大于 6 学分 Elective (6 credits)01442310统计专业英语 Statistical English1811理学院 College of Science必选课 Required C
21、ourses必修环01444001课程实践2 22理学院课程类别课程类别Course category 课程编号课程编号 Course No.课程名称课程名称Course name 学学 时时 Ho ur 学分学分 Cred it 开课学开课学 期期 Semest er 开课单位开课单位 School备注备注Remark Practice coursesmo nth sCollege of Science01444002综合实践 Integrated practice4 mo nths33实务部门 Practice sector节 Compul sorycou rses01444003选题报告
22、 Report on topics selection13理学院 College of Science五、必修环节五、必修环节VCompulsory Courses实践环节 5 学分。保证不少于半年的实践教学,可采用集中实践与分段实践相结合的 方式。实践环节分为课程实践和综合实践两部分。课程实践主要是进行专业课程实践和科 研技能训练,合格者记 2 学分。综合实践主要是进行专业综合实践和应用能力训练,综合 实践合格者记 3 学分。课程实践和专业实践也可合并进行。非全日制专业学位硕士研究生 可免修实践环节,但不记学分,所缺学分须通过选修课程补齐。 选题报告及中期考核 1 学分。硕士研究生应在导师的
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