数字引领时代  智能开创未来

2020级统计学(经济学)硕士研究生培养方案


 

所属学科门类:经济

所属一级学科:应用经济学

所属院系:统计与信息学院

 

一、培养目标

本专业旨在培养具有扎实的数学与统计理论基础,精通现代定量分析方法与技术具有使用现代统计学方法和工具独立完成对外经贸金融、商务领域数据分析的高层次、高素质的专门人才毕业生既能在政府部门、金融机构和各类企事业单位从事宏观经济与微观经济数字管理、数量分析等工作,又能从事创新性科学研究工作或自主创业。

二、学制

本专业学制为2.5年。在规定时期完成课程学习,但未完成学位论文者,可申请延长学习年限,最长年限不得超过4.5年。

三、研究方向

1、对外经贸统计

2、金融统计

3、统计与计量方法

四、课程设置与学分要求

本专业硕士研究生在攻读硕士学位期间应修满36学分,其中包括公共必修课7学分,学位基础课16学分,选修课10学分(其中理论型模块、应用型模块选修课各最少必须选择4学分,允许学生跨模块选修更多学分,跨专业选修课最少必须选择2学分),名师讲座2学分,社会实践1学分。具体课程安排和学分见附表

五、社会实践及科研能力的培养

根据本专业的培养方案,对于统计学高级研究人才的培养,要求掌握概率论、统计推断、统计编程等基础课和专业课,掌握这些课程在科学研究中的应用能力。

对于统计学人才的培养,要求学生在研究生期间参加一定的社会实践。通过社会实践,培养学生的发现问题、分析问题和解决问题的实践能力,增强综合运用统计知识和技能的能力,增强学生就业竞争力和适应社会领导能力。社会实践内容的考核办法主要包括以下几个方面:(1)运用统计学知识来思考和分析社会实践问题;(2)总结社会实践中的经验与教训,并将这些经验与教训总结成案例;(3)掌握与实习单位所属行业的知识与技能;(4)拓展相关行业的知识与技能。围绕上述内容写一篇社会实践报告,作为社会实践成果评价的基本依据

为了提高研究生学术科研能力,发挥研究生导师的研究指导作用,研究生在校期间必须在导师的指导下,从事经济统计科学研究,并在学术期刊上以第一作者身份或第二作者身份(导师为第一作者)公开发表学术论文一篇及以上,此为研究生学位申请的必要条件之一。

 

六、培养方式与成绩考核

统计学专业的课程均采取讲授、讨论和专题研究的方式进行,对硕士研究生的培养实行导师负责制。

七、学位论文

硕士研究生的学位论文开题报告应在第四学期初完成,由本学科硕士生指导小组组织进行。学位论文的写作要求见《必赢626net入口首页硕士学位论文内容和格式要求2013年修订)


附表:

类别

课程名称

第1学期

第2学期

第3学期

学时

学分

开课部门

公共课

中国特色社会主义理论与实践研究(学位课)

 

2

  

36

2

马克思主义学院

马克思主义与社会科学方法论研究

1

  

  

18

1

马克思主义学院

高级英语口语与写作

2

  

  

36

2

外语学院

统计软件(英)

2

  

  

36

2

统信学院

学位基础课

高级微观经济学(I)

3

  

  

54

3

经贸学院

高级宏观经济学(I)

3

  

  

54

3

经贸学院

高等统计学

3

  

  

54

3

统信学院

高级计量经济学

3

  

  

54

3

统信学院

线性模型理论

  

2

  

36

2

统信学院

统计计算

  

2

  

36

2

统信学院

课理论型模块、应用型模块选修课各最少必须选择4学分,允许学生跨模块选修,跨专业选修课最少必须选择2学分

理论型

(5选2

  

多元统计分析

  

2

  

36

2

统信学院

随机过程

  

2

  

36

2

统信学院

时间序列分析

  

2

  

36

2

统信学院

数据挖掘

  

  

2

36

2

统信学院

抽样理论与应用

  

  

2

36

2

统信学院

应用型(模块I:贸易统计)

国民经济核算理论与方法

  

2

  

36

2

统信学院

国际贸易

  

2

  

36

2

经贸学院

贸易统计

  


2

36

2

统信学院

国际贸易实证方法

 

2

 

36

2

统信学院

国际收支统计

 

2

 

36

2

统信学院

经济指数理论与应用研究

  

  

2

36

2

统信学院

应用型(模块II:金融统计)

金融时间序列

  

2

  

36

2

统信学院

金融统计

  

2

  

36

2

统信学院

精算模型

  

  

2

36

2

统信学院

金融经济学

  

  

2

36

2

统信学院

风险管理

  

  

2

36

2

统信学院

应用型(模块III:统计与计量方法研究)

可靠性分析

  

2

  

36

2

统信学院

生存分析

  

2

  

36

2

统信学院

商业数据库管理

  

2

  

36

2

统信学院

空间统计学

  

2

  

36

2

统信学院

商业数据处理

 

 

2

36

2

统信学院

统计软件SAS

  

2

  

36

2

统信学院

贝叶斯统计

  

2

  

36

2

统信学院

数量经济学方法研究

  

2

  

36

2

统信学院

非参数统计

  

  

2

36

2

统信学院

广义线性与混合效应模型(英)

  

  

2

36

2

统信学院

复杂数据分析

  

  

2

36

2

统信学院

试验设计与建模

  

  

2

36

2

统信学院

运筹学

  

  

2

36

2

统信学院

跨专业(最少必须选修2学分)

金融工程研究

  

2

  

36

2

金融学院

高级微观经济学(II)

  

2

  

36

2

经贸学院

区域经济学

  

2

  

36

2

经贸学院

高级宏观经济学(II)

  

2

  

36

3

经贸学院

创业管理专题

  

 

2

36

2

管理学院

Python程序设计

  

3

 

54

3

统信学院

固定收益证券研究

  

  

2

36

2

金融学院

投资学

  

  

2

36

2

金融学院

国际金融研究

  

  

2

36

2

金融学院

电子商务

  

  

2

36

2

经贸学院

名师讲座

8次

2

统信学院

社会实践

  

  

  

  

1

统信学院

 

 

 

 

 


Master Program in Statistics 2019

 

Academic Field: Economics

Primary Discipline: Applied Economics

School offering the program: School of Statistics and Information

 

I. Program Objectives

This program aims to qualify students as professional statisticians needed in senior economic management. Students are expected to have solid theoretical foundation in mathematics and statistics, and to master the modern methods and techniques in data analysis. They will able to solve practical problems in economics, finance and business management using statistical methodology. They will have strong skills in data processing and computer programming. Graduates can be expect to work in government departments, financial institutions and all kinds of enterprises and institutions and to be engaged in macroeconomic and microeconomic information management, quantity analysis, etc, and work in the creative scientific research or start their own business.

II. Duration of the Program

The normal duration of the program is two years and a half. Students who have successfully completed the coursework within the required time can apply for an extension of half a year, if they have not completed their dissertation. But generally, the total amount of time obtained by extensions cannot exceed one year.

III. Field of Research

1. Financial Statistics

2Trade Statistics

3. Statistical and Econometrical Methods

IV. Courses and Credits

All students must earn 40 credits, including 7 “common required course” credits, 16 “required course” credits, 14 “optional course” credits (including 2 or more cross-specialty optional course” credits)  2 “lecture course” credits and 1social practice” credit. Specific course structure can be found in the appendix.

V. Occupational Apprenticeship and Academic Training

According to the program plan, students who are going to be researchers are required to have a good knowledge of courses, such as probability theory, statistical inference, statistical methods and statistical programming. They are also required to apply the learned knowledge in scientific research.

For students who are going to be practical personnel, they are required to take part in social practice. Through social practice, we can equip students with practical abilities to analyze and solve problems by using the basic knowledge and skills they learned in this program. Hence, we can enhance the social adaptability and employment competitiveness. Social practice is to be assessed by the following: 1) Analyze and consider the events occurring in the course of social practice by knowledge of statistics learned in classrooms. 2) Sum up the experiences and lessons in social practice for case studies. 3) Command the basic knowledge and skill of the internship and the relevant industry. 4) Summarize the management knowledge and skills of the relevant industry.

The outcome of social practice is a report covering the above points.

To enhance postgraduate students' academic and scientific capability, the postgraduate student during his or her school period is required to undertake scientific research under his or her supervisor’s instruction and gain the supervisor's approval.

VI. Education Modes and Performance Assessment

All the courses will take the forms of intensive lectures, discussions and study in special topics. Master supervisors are responsible for the cultivation of their master students.

VII. Dissertation

The proposal for dissertation should be completed at the beginning of the 4th semester, with the guidance by members of a panel. Please refer to “Layout Requirements for Graduates of Shanghai University of International Business and Economics (revised edition 2013)” for details.


Attached Table

Category

Course Name

Semester

Credit

Hours

Credit

Department

1

2

3

Common Required Courses

Socialist Theory and Practice with Chinese Characteristics ( Degree Course)

2

 

 

36

2

School of Marxism

Research on Marxism and Methodology of Social Science

1

 

 

18

1

School of Marxism

Advanced Speaking & Writing

2

 

 

36

2

School of Languages

R Langueage and Statistical Software

2

 

 

36

2

School of Statistics and Information

Required Courses

Advanced Micro EconomicsI

3

  

  

54

3

School of Business

Advanced Macro EconomicsI

3

  

  

54

3

School of Business

Advanced Statistics

3

 

 

54

3

School of Statistics and Information

Linear Model

 

2

 

36

2

School of Statistics and Information

Statistical Computing

 

2

 

36

2

School of Statistics and Information

Advanced Econometrics

3

 

 

54

3

School of Statistics and Information

Optional

Courses

Theoretical

(At least 3 in 5)

Multivariate Statistics

 

2

 

36

2

School of Statistics and Information

Stochastic Process

 

2

 

36

2

School of Statistics and Information

Time Series Analysis

 

2

 

36

2

School of Statistics and Information

Data Mining

 

 

2

36

2

School of Statistics and Information

Sampling Theory 

 

 

2

36

2

School of Statistics and Information

Module I

 

Trade Statistics

National Accounting

 

2

 

36

2

School of Statistics and Information

International Trade

 

,2

 

36

2

School of Statistics and Information

Trade Statistics

 

 

2

36

2

School of Statistics and Information

Economic Index

 

 

2

36

2

School of Statistics and Information

Module II

Financial Statistics

Time Series Analysis in Finance

 

2

 

36

2

School of Statistics and Information

Financial Statistics

 

2

 

36

2

School of Statistics and Information

Actuarial Model

 

 

2

36

2

School of Statistics and Information

Financial Economics  

 

 

2

36

2

School of Statistics and Information

Risk Management

 

 

2

36

2

School of Statistics and Information

Module III

Statistical and Econometric Methods

Reliability Analysis

 

2

 

36

2

School of Statistics and Information

Survival Analysis

 

2

 

36

2

School of Statistics and Information

Business Database Management

 

2

 

36

2

School of Statistics and Information

Spatial Statistics

 

2

 

36

2

School of Statistics and Information

Statistical Software(SAS)

 

2

 

36

2

School of Statistics and Information

Bayesian Statistics

 

2

 

36

2

School of Statistics and Information

Methods in Mathematical Economics Research

 

2

 

36

2

School of Statistics and Information

Experimental Design and Modeling

 

 

2

36

2

School of Statistics and Information

Nonparametric Statistics

 

 

2

36

2

School of Statistics and Information

Generalized Linear Models and Mixed-Effects Models

 

 

2

36

2

School of Statistics and Information

Analysis of Complex Data

 

 

2

36

2

School of Statistics and Information

Operational Research

 

 

2

36

2

School of Statistics and Information

Research in Financial Engineering

 

2

 

36

2

School of Finance

Advanced Micro Economics II

 

2

 

36

2

School of Business

Advanced Macro Economics II

 

2

 

36

3

School of Business

Topics in Regional Economics

 

 

 

2

36

School of Business

Python Programming

 

3

 

54

3

School of Statistics and Information

Entrepreneurial Management

 

 

2

36

2

School of Management 

Fixed income securities Research

 

 

2

36

3

School of Finance

Investment

 

 

2

36

3

School of Finance

Research in International Finance

 

 

2

36

3

School of Finance

Electronic Commerce

 

 

2

36

2

School of Business

 

Students are required to take at least one cross-specialty course for 2 credits.

Lectures

eight times

 

2

School of Statistics and Information

Social Practice

 

 

 

 

1

School of Statistics and Information

 

 

 

 


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