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2022級統計學(經濟)碩士研究生培養方案

2015級數量經濟學碩士研究生培養方案

2022級統計學(經濟學)碩士研究生培養方案


所屬學科門類:經濟學

所屬一級學科:應用經濟學

所屬院系:統計與信息學院


一、培養目標

本專業旨在培養德才兼備,具有家國情懷和國際視野,具備良好政治素質與職業道德,具有扎實的數學、統計理論基礎和經濟學基本知識,精通現代定量分析方法與技術,具有使用現代統計學方法和工具獨立完成對外經貿、金融領域數據分析的高層次、高素質的專門人才。畢業生既能在政府部門、金融機構和各類企事業單位從事宏觀經濟與微觀經濟數字管理、數量分析等工作,又能從事創新性科學研究工作或自主創業。

二、學制

本專業學制為2.5年,全日制學習。在規定時期完成課程學習,但未完成學位論文者,可申請延長學習年限,累計最長學習年限不超過4.5年。

三、研究方向

1.統計與計量方法

2.對外經貿統計

3.金融統計

四、課程設置與學分要求

本專業碩士研究生在攻讀碩士學位期間應修滿38學分,其中包括公共課7學分,學位基礎課18學分,專業選修課8學分(其中方向限選課至少6學分),跨專業選修課2學分,名師講座2學分,社會實踐1學分。此外,本專業碩士研究生必須通過國家英語六級考試,或者經相同水平的英語測試,達到合格要求。具體課程安排和學分見附表。

五、社會實踐

根據本專業的培養方案,對于統計學高級研究人才的培養,要求掌握高級經濟學、統計學、程序設計等基礎課和專業課,掌握這些課程在科學研究中的應用能力。

對于統計學人才的培養,要求學生在研究生期間參加一定的社會實踐。通過社會實踐,培養學生的發現問題、分析問題和解決問題的實踐能力,增強綜合運用統計知識和技能的能力,增強學生就業競爭力和適應社會能力。社會實踐內容的考核辦法主要包括以下幾個方面:(1)運用統計學知識來思考和分析社會實踐問題;(2)總結社會實踐中的經驗與教訓,并將這些經驗與教訓總結成案例;(3)掌握與實習單位所屬行業的知識與技能;(4)拓展相關行業的知識與技能。圍繞上述內容寫一篇社會實踐報告,作為社會實踐成果評價的基本依據。

具體要求見《上海對外經貿大學碩士研究生社會實踐實施細則》。

六、科研能力

為了提高研究生學術科研能力,發揮研究生導師的指導作用,研究生在校期間必須在導師的指導下,從事科學研究,提高學術素養。

七、培養方式

統計學專業的課程均采取講授、討論和專題研究的方式進行,對碩士研究生的培養實行導師負責制。

八、學位論文

研究生必須按規定時間完成學位論文撰寫,經導師同意推薦答辯并通過校、院組織的論文盲審和答辯,論文質量達到所申請學位的合格要求。具體要求見《上海對外經貿大學碩士學位管理辦法實施細則》。學位論文的寫作要求見《上海對外經貿大學碩士學位論文內容和格式要求(2020年修訂)》。

附表:

類別

課程名稱

1學期

2學期

3學期

學時

學分

開課部門

公 共 課

中國特色社會主義理論與實踐研究

2

 

 

36

2

馬克思主義學院

馬克思主義與社會科學方法論研究

1

 

 

18

1

馬克思主義學院

高級英語口語與寫作


2

 

36

2

國際商務外語學院

統計軟件()

2

 

 

36

2

統計與信息學院

學 位 基 礎 課

學術規范與論文寫作

 

1

 

18

1

統計與信息學院

統計學前沿文獻導讀


1

 

18

1

統計與信息學院

高級微觀經濟學(I

3

 

 

54

3

國際經貿學院

高級宏觀經濟學(I

3


 

54

3

國際經貿學院

高級計量經濟學

3



54

3

統計與信息學院

高等統計學

3


 

54

3

統計與信息學院

國民經濟核算理論與方法

3



54

3

統計與信息學院

高級程序設計

2



36

2

統計與信息學院

理論型

 

高級計量經濟學(II*


3


54

3

統計與信息學院

時間序列分析*

 

2


36

2

統計與信息學院

數量經濟學研究方法*

 

2


36

2

統計與信息學院

時空統計理論及應用*

 

2


36

2

統計與信息學院

國際貿易統計**


3


54

3

統計與信息學院

數理金融***

 

3


54

3

統計與信息學院

金融統計***


2


36

2

統計與信息學院

統計計算


2


36

2

統計與信息學院

隨機過程


2


36

2

統計與信息學院

非參數統計


2


36

2

統計與信息學院

復雜數據統計分析


2


36

2

統計與信息學院

多元統計分析


2


36

2

統計與信息學院

數據分析與統計建模

2



36

2

統計與信息學院

抽樣理論與應用

 

2


36

2

統計與信息學院

應用型

全球價值鏈統計**


2


36

2

統計與信息學院

國際貿易統計調查**


2


36

2

統計與信息學院

金融計量學***

3



54

3

統計與信息學院

高頻數據與量化交易***


2


36

2

統計與信息學院

優化方法與數據分析實踐

2



36

2

統計與信息學院

數據科學技術與應用

2



36

2

統計與信息學院

經濟指數理論與應用研究


2


36

2

統計與信息學院

社會網絡分析與計算方法


2


36

2

國際經貿學院

互聯網前沿技術創新應用案例


2


36

2

統計與信息學院

算法設計與實踐


2


36

2

統計與信息學院

高級數據庫技術

 

2


36

2

統計與信息學院

機器學習


3 


54

3

統計與信息學院

經濟數據挖掘與量化研究



2

36

2

統計與信息學院

復雜系統與復雜網絡

 


2

36

2

統計與信息學院

跨專業

金融工程研究

 

2

 

36

2

金融管理學院

服務貿易與全球價值鏈

 

2


36

2

貿易談判學院

國際貿易實務

 

2


36

2

國際經貿學院

市場營銷專題


2


36

2

工商管理學院

國際金融研究

 

 

2

36

2

金融管理學院

投資學

 

 

2

36

2

金融管理學院

電子商務

 

 

2

36

2

國際經貿學院

人口、資源和環境經濟學



2

36

2

國際經貿學院

心理與行為研究方法



2

36

2

工商管理學院



金融風險管理



2

36

2

金融管理學院

名師講座

8

2


社會實踐

 

 

 

1


注:*,**, ***為方向1,2, 3限選課。方向限選課亦為其他方向選修課。







MasterProgram in Statistics for 2022


AcademicField: Economics

PrimaryDiscipline: Applied Economics

SchoolOffering the Program: School of Statistics and Information


I.Objectives

Thismajor aims to cultivate high-level and high-quality professionals whohave both political integrity and ability, have national feelings andinternational vision, have good political quality and professionalethics, have a solid foundation of mathematics and statistical theoryand basic knowledge of economics, are proficient in modernquantitative analysis methods and technologies, and use modernstatistical methods and tools to independently complete data analysisin the field of foreign trade, economy and finance. Graduates can notonly engage in macroeconomic and microeconomic digital management,quantitative analysis and other work in government departments,financial institutions and various enterprises and institutions, butalso engage in innovative scientific research orself-entrepreneurship.

II.Duration of the Program

Theacademic system of this major is 2.5 years, full-time study. Studentswho have completed the course of study within the specified periodbut have not completed the dissertation may apply for an extension ofthe length of study. The cumulative maximum length of study shall notexceed 4.5 years.

III.Research Areas

1.Statistical and Econometrical Methods

2.Foreign Economic and Trade Statistics

3.Financial Statistics

IV.Courses and Credits

Allstudents must earn 38 credits, including 7 “common required course”credits, 18 “required course” credits, 8 “major optionalcourse” credits (at least 6 credits for direction elective coursesare required), 2 “cross-specialty optional course” credits, 2“lecture course” credits and 1 “social practice” credit. Inaddition, master candidates in this program must pass College EnglishTest (CET) 6 or an equivalent test of English language proficiency tofulfil the requirement for graduation. Specific course structure canbe found in the appendix.

V.Social Practice

Accordingto the program plan, students who are going to be researchers arerequired to have a good knowledge of courses, such as AdvancedEconomics, Statistics, Programming. They are also required to applythe learned knowledge in scientific research.

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

Forspecific requirements, see the detailed rules for the implementationof social practice for Postgraduates of Shanghai University ofInternational Business and Economics.

VI.Academic Training

Inorder to improve the academic research ability of postgraduatestudents and to give play to the role of graduate student tutors inresearch and guidance, graduate students must conduct scientificresearch under the guidance of their tutors.

VII.Education Modes

Allthe courses will take the forms of intensive lectures, discussionsand study in special topics. Master supervisors are responsible forthe cultivation of their master students.

VIII.Dissertation

Graduatestudents must complete the writing of their dissertations within thespecified time, recommend the defense with the consent of theirtutors, and pass the defense organized by the University and thecollege. The quality level of their dissertations meets thequalification requirements for the applied degree. For specificrequirements, see the detailed rules for the implementation of themeasures for the administration of master’s degree of ShanghaiUniversity of International Business and Economics. For the writingrequirements of the dissertation, see the requirements for thecontent and format of the master’s thesis of Shanghai University ofInternational Business and Economics (revised in 2020).AttachedTable

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

Statistical Software (English)

2



36

2

School of Statistics and Information

Required Courses

Academic Standards and Paper Writing

 

1

 

18

1

School of Statistics and Information

Introduction to Frontier Papers in Statistics


1


18

1

School of Statistics and Information

Advanced Micro EconomicsI

3

 

 

54

3

School of Business

Advanced Macro EconomicsI

3

 

 

54

3

School of Business

Advanced Econometrics

3



54

3

School of Statistics and Information

Advanced Statistics

3



54

3

School of Statistics and Information

Theory and Method of National Accounting

3




54

3

School of Statistics and Information

Advanced Programming

2



36

2

School of Statistics and Information

Optional Courses

Theoretical

Advanced EconometricsII*


3


54

3

School of Statistics and Information

Time Series Analysis*


2


36

2

School of Statistics and Information

Research Methods of Quantitative Economics*


2


36

2

School of Statistics and Information

Theory and Application of Spatiotemporal Statistics*


2


36

2

School of Statistics and Information

International Trade Statistics**


3


54

3

School of Statistics and Information

Financial Mathematics***


2


36

2

School of Statistics and Information

Statistical Computing


2


36

2

School of Statistics and Information

Stochastic Process


2


36

2

School of Statistics and Information

Nonparametric Statistics


2


36

2

School of Statistics and Information

Statistical Analysis of Complex Data


2


36

2

School of Statistics and Information

Multivariate Statistics


2


36

2

School of Statistics and Information

Data Analysis and Statistical Model

2



36

2

School of Statistics and Information

Sampling Theory and Application


2


36

2

School of Statistics and Information

Applied

Global Value Chain Statistics**


2


36

2

School of Statistics and Information

Survey of International Trade**


2


36

2

School of Statistics and Information

Financial Econometrics***

3



54

3

School of Statistics and Information

High Frequency Data and Quantitative Transaction***


2


36

2

School of Statistics and Information

Optimization Methods and Data Analysis Applications

2



36

2

School of Statistics and Information

Data Science Technology and Application

2



36

2

School of Statistics and Information

Research on the Theory and Application of Economic Index


2


36

2

School of Statistics and Information

Social Network Analysis and Calculation Methods


2


36

2

School of Business

Application Cases of Internet Frontier Technology Innovation


2


36

2

School of Statistics and Information

Algorithm Design and Practice


2


36

2

School of Statistics and Information

Advanced Database Technology


2


36

2

School of Statistics and Information

Machine Learning


3


54

3

School of Statistics and Information

Data Mining and Quantitative Research in Economics


2


36

2

School of Statistics and Information

Complex System and Complex Network



2

36

2

School of Statistics and Information

Cross-specialty

Financial Engineering Research


2


36

2

School of Finance

Service Trade and Global Value Chain


2


36

2

School of Trade Negotiation

International Trade Practice


2


36

2

School of Business

Research on Financial Management


2


36

2

School of Accounting

Marketing Topics


2


36

2

School of Accounting

Risk Management


2


36

2

School of Statistics and Information

International Financial Research



2

36

2

School of Finance

Investment



2

36

2

School of Finance

Electronic Commerce



2

36

2

School of Business

Population, Resource and Environmental Economics



2

36

2

School of Business

Empirical Methods in Psychology and Behavior Research



2

36

2

School of Management

Lectures

eight times

2


Social Practice





1


Note:*, **, *** are restricted courses for directions 1, 2 and 3. Limitedelective courses in other directions are also elective courses inother directions.

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