应用统计学专业本科培养方案
Undergraduate Program for the Specialty of Applied Statistics 一、培养目标
I．Educational Objectives
应用统计学专业培养具有良好的数学素养，掌握统计学的基本理论和方法，能熟练地运用计算机分析数据，能在企业、事业单位和经济、管理部门从事统计调查、统计信息管理、数量分析等开发、应用和管理工作，或在科研、教育部门从事研究和教学工作的高级专门人才。
The program is designed to build a solid background for students in mathematics, offers students a variety of courses, including fundamental theory and methodology of mathematics, statistics and economic statistics, computer data processing and analysis, and statistical programming. The program is aimed to prepare students for careers in business, industry, management science, economic finance, science research, education and others.
二、培养要求及特色
II．Requirement and Features
毕业生应获得以下几方面的知识和能力：
1、具有扎实的数学基础，受到严格的科学思维训练；
2、掌握统计学的基本理论、基本知识、基本方法和计算机操作技能；具有采集数据、设计调查问卷和处理调查数据的基本能力；了解统计学理论与方法的发展动态及其应用前景；
3、掌握与社会经济、金融统计相关的基本知识；
4、能熟练使用各种统计软件包，有较强的统计计算能力；
5、掌握资料查询、文献检索及运用现代信息技术获取相关信息的基本方法；具有一定的科学研究和实际工作能力；
6、掌握一门外语，能顺利阅读本专业的外文资料。
As a student of this course, you are supposed to have：
1.Solid grounding and well training in mathematics.
2.The knowledge in fundamental theories and methods of statistics, and the ability to program and process data with computer. Mastery of the advance and the prospects of statistics.
3.The basic knowledge related to economical and financial statistics.
4.The ability of statistical calculation with software packages.
5.Mastery of data query, document retrieval and the basic methods to obtain information using modern technology. The ability of science research and solving actual problems.
6.Mastery of a foreign language and the ability to employ technical resources documents in foreign language.
三、学制与学位
III．Length of Schooling and Degree
修业年限：4年
Duration: 4 years
授予学位：理学学士学位
Degrees conferred: Bachelor of Science
四、主干学科
IV．Major Disciplines
数学Mathematics、统计学Statistics 、经济学Economics、计算机Computer.
五、核心课程
V．Core Courses
统计学导论Introduction to Statistics、数学分析Mathematical Analysis、高等代数Advanced Algebra、解析几何Analytical Geometry、概率论Probability Theory、数理统计Mathematical Statistics、数学软件Mathematical Software、C程序设计语言C-Programming Language、数据挖掘Data Mining、统计计算（1）Statistics Computation（1）、统计计算（2）Statistics Computation（2）、常微分方程Ordinary Differential Equation、多元统计分析Multivariable Statistics Analysis、回归分析Regression Analysis、时间序列分析Time Serial Analysis、试验设计Test Designing、应用随机过程Applied Stochastic Process、抽样调查Sampling Survey、微观经济学Microeconomics、宏观经济学Macroeconomics、计量经济学Econometrics、精算数学Actuarial Mathematics、民族地区经济Minority Regional Economics、金融数学Financial Mathematics.
六、主要实践性教学环节
VI．Main Internship and Practical Training
课程实验，教学实习，毕业实习，毕业论文
CurriculumExperiments, Teaching Practice, Graduation Practice, Graduation Thesis
七、主要专业实验
VII．Main Experiments
C程序设计语言实验，时间序列分析实验，非参数统计实验，统计计算（1）、（2）实验，多元统计分析实验，回归分析实验，试验设计实验，数学软件实验，数学建模（C）实验，数据挖掘实验C-Programming Language Experiments，Time Serial Analysis Experiments，Non-parameter Statistics Experiments，Statistics Computation Experiments （1）、（2），Multivariable Statistics Analysis Experiments，
Regression Analysis Experiments，Test Designing Experiments，Mathematical Software Experiments，Mathematical Modeling （C）Experiments，Data Mining Experiments
八、学时与学分
VI．Hours/Credits
学时学分构成表
Table of Hours and Credits
九、教学进程计划表/IX．Teaching Schedule Form
表一：通识课程平台/Form 1:General Courses Platform 表一（A）：通识必修课程（通修课）
表二：学科基础课程平台
学生应选修7.5学分，选修分两组：前三门为一组，后三门为一组，建议选修第一组. 第二学期至少选4学分，第三学期至少选1.5学分，第五学期至少选2学分.
Demand of Elective Credit: 7.5. Selective courses are separated into 2 groups, the first three courses are in group 1 and the last three courses are in group 2. group 1 is suggested. 4 credits required in 2nd semester, 1.5 credits required in 3rd semester, 2 credits required in 5th semester.
表三：专业课程平台
专业选修课分两组，前8门为一组，后8门为一组，建议选修第一组。
第三个学期至少选2学分，第四个学期至少选5学分，第五个学期至少选4.5学分，第六个学期至少选7学分.
Demand of Selective Credit: 18.5. Selective courses are separated into 2 groups, the first 8 courses are in group 1 and last 8 in group 2. 2 credits required in 3rd semester, 5 credits required in 4th semester, 4 credits required in 5th semester and 7.5 credits required in 6th semester.
表四：实践教学平台。