數(shù)字引領(lǐng)時(shí)代  智能開創(chuàng)未來(lái)

2022級(jí)統(tǒng)計(jì)學(xué)(經(jīng)濟(jì))碩士研究生培養(yǎng)方案

2015級(jí)數(shù)量經(jīng)濟(jì)學(xué)碩士研究生培養(yǎng)方案

2022級(jí)統(tǒng)計(jì)學(xué)(經(jīng)濟(jì)學(xué))碩士研究生培養(yǎng)方案


所屬學(xué)科門類:經(jīng)濟(jì)學(xué)

所屬一級(jí)學(xué)科:應(yīng)用經(jīng)濟(jì)學(xué)

所屬院系:統(tǒng)計(jì)與信息學(xué)院


一、培養(yǎng)目標(biāo)

本專業(yè)旨在培養(yǎng)德才兼?zhèn)洌哂屑覈?guó)情懷和國(guó)際視野,具備良好政治素質(zhì)與職業(yè)道德,具有扎實(shí)的數(shù)學(xué)、統(tǒng)計(jì)理論基礎(chǔ)和經(jīng)濟(jì)學(xué)基本知識(shí),精通現(xiàn)代定量分析方法與技術(shù),具有使用現(xiàn)代統(tǒng)計(jì)學(xué)方法和工具獨(dú)立完成對(duì)外經(jīng)貿(mào)、金融領(lǐng)域數(shù)據(jù)分析的高層次、高素質(zhì)的專門人才。畢業(yè)生既能在政府部門、金融機(jī)構(gòu)和各類企事業(yè)單位從事宏觀經(jīng)濟(jì)與微觀經(jīng)濟(jì)數(shù)字管理、數(shù)量分析等工作,又能從事創(chuàng)新性科學(xué)研究工作或自主創(chuàng)業(yè)。

二、學(xué)制

本專業(yè)學(xué)制為2.5年,全日制學(xué)習(xí)。在規(guī)定時(shí)期完成課程學(xué)習(xí),但未完成學(xué)位論文者,可申請(qǐng)延長(zhǎng)學(xué)習(xí)年限,累計(jì)最長(zhǎng)學(xué)習(xí)年限不超過(guò)4.5年。

三、研究方向

1.統(tǒng)計(jì)與計(jì)量方法

2.對(duì)外經(jīng)貿(mào)統(tǒng)計(jì)

3.金融統(tǒng)計(jì)

四、課程設(shè)置與學(xué)分要求

本專業(yè)碩士研究生在攻讀碩士學(xué)位期間應(yīng)修滿38學(xué)分,其中包括公共課7學(xué)分,學(xué)位基礎(chǔ)課18學(xué)分,專業(yè)選修課8學(xué)分(其中方向限選課至少6學(xué)分),跨專業(yè)選修課2學(xué)分,名師講座2學(xué)分,社會(huì)實(shí)踐1學(xué)分。此外,本專業(yè)碩士研究生必須通過(guò)國(guó)家英語(yǔ)六級(jí)考試,或者經(jīng)相同水平的英語(yǔ)測(cè)試,達(dá)到合格要求。具體課程安排和學(xué)分見附表。

五、社會(huì)實(shí)踐

根據(jù)本專業(yè)的培養(yǎng)方案,對(duì)于統(tǒng)計(jì)學(xué)高級(jí)研究人才的培養(yǎng),要求掌握高級(jí)經(jīng)濟(jì)學(xué)、統(tǒng)計(jì)學(xué)、程序設(shè)計(jì)等基礎(chǔ)課和專業(yè)課,掌握這些課程在科學(xué)研究中的應(yīng)用能力。

對(duì)于統(tǒng)計(jì)學(xué)人才的培養(yǎng),要求學(xué)生在研究生期間參加一定的社會(huì)實(shí)踐。通過(guò)社會(huì)實(shí)踐,培養(yǎng)學(xué)生的發(fā)現(xiàn)問(wèn)題、分析問(wèn)題和解決問(wèn)題的實(shí)踐能力,增強(qiáng)綜合運(yùn)用統(tǒng)計(jì)知識(shí)和技能的能力,增強(qiáng)學(xué)生就業(yè)競(jìng)爭(zhēng)力和適應(yīng)社會(huì)能力。社會(huì)實(shí)踐內(nèi)容的考核辦法主要包括以下幾個(gè)方面:(1)運(yùn)用統(tǒng)計(jì)學(xué)知識(shí)來(lái)思考和分析社會(huì)實(shí)踐問(wèn)題;(2)總結(jié)社會(huì)實(shí)踐中的經(jīng)驗(yàn)與教訓(xùn),并將這些經(jīng)驗(yàn)與教訓(xùn)總結(jié)成案例;(3)掌握與實(shí)習(xí)單位所屬行業(yè)的知識(shí)與技能;(4)拓展相關(guān)行業(yè)的知識(shí)與技能。圍繞上述內(nèi)容寫一篇社會(huì)實(shí)踐報(bào)告,作為社會(huì)實(shí)踐成果評(píng)價(jià)的基本依據(jù)。

具體要求見《上海對(duì)外經(jīng)貿(mào)大學(xué)碩士研究生社會(huì)實(shí)踐實(shí)施細(xì)則》。

六、科研能力

為了提高研究生學(xué)術(shù)科研能力,發(fā)揮研究生導(dǎo)師的指導(dǎo)作用,研究生在校期間必須在導(dǎo)師的指導(dǎo)下,從事科學(xué)研究,提高學(xué)術(shù)素養(yǎng)。

七、培養(yǎng)方式

統(tǒng)計(jì)學(xué)專業(yè)的課程均采取講授、討論和專題研究的方式進(jìn)行,對(duì)碩士研究生的培養(yǎng)實(shí)行導(dǎo)師負(fù)責(zé)制。

八、學(xué)位論文

研究生必須按規(guī)定時(shí)間完成學(xué)位論文撰寫,經(jīng)導(dǎo)師同意推薦答辯并通過(guò)校、院組織的論文盲審和答辯,論文質(zhì)量達(dá)到所申請(qǐng)學(xué)位的合格要求。具體要求見《上海對(duì)外經(jīng)貿(mào)大學(xué)碩士學(xué)位管理辦法實(shí)施細(xì)則》。學(xué)位論文的寫作要求見《上海對(duì)外經(jīng)貿(mào)大學(xué)碩士學(xué)位論文內(nèi)容和格式要求(2020年修訂)》。

附表:

類別

課程名稱

1學(xué)期

2學(xué)期

3學(xué)期

學(xué)時(shí)

學(xué)分

開課部門

公 共 課

中國(guó)特色社會(huì)主義理論與實(shí)踐研究

2

 

 

36

2

馬克思主義學(xué)院

馬克思主義與社會(huì)科學(xué)方法論研究

1

 

 

18

1

馬克思主義學(xué)院

高級(jí)英語(yǔ)口語(yǔ)與寫作


2

 

36

2

國(guó)際商務(wù)外語(yǔ)學(xué)院

統(tǒng)計(jì)軟件()

2

 

 

36

2

統(tǒng)計(jì)與信息學(xué)院

學(xué) 位 基 礎(chǔ) 課

學(xué)術(shù)規(guī)范與論文寫作

 

1

 

18

1

統(tǒng)計(jì)與信息學(xué)院

統(tǒng)計(jì)學(xué)前沿文獻(xiàn)導(dǎo)讀


1

 

18

1

統(tǒng)計(jì)與信息學(xué)院

高級(jí)微觀經(jīng)濟(jì)學(xué)(I

3

 

 

54

3

國(guó)際經(jīng)貿(mào)學(xué)院

高級(jí)宏觀經(jīng)濟(jì)學(xué)(I

3


 

54

3

國(guó)際經(jīng)貿(mào)學(xué)院

高級(jí)計(jì)量經(jīng)濟(jì)學(xué)

3



54

3

統(tǒng)計(jì)與信息學(xué)院

高等統(tǒng)計(jì)學(xué)

3


 

54

3

統(tǒng)計(jì)與信息學(xué)院

國(guó)民經(jīng)濟(jì)核算理論與方法

3



54

3

統(tǒng)計(jì)與信息學(xué)院

高級(jí)程序設(shè)計(jì)

2



36

2

統(tǒng)計(jì)與信息學(xué)院

理論型

 

高級(jí)計(jì)量經(jīng)濟(jì)學(xué)(II*


3


54

3

統(tǒng)計(jì)與信息學(xué)院

時(shí)間序列分析*

 

2


36

2

統(tǒng)計(jì)與信息學(xué)院

數(shù)量經(jīng)濟(jì)學(xué)研究方法*

 

2


36

2

統(tǒng)計(jì)與信息學(xué)院

時(shí)空統(tǒng)計(jì)理論及應(yīng)用*

 

2


36

2

統(tǒng)計(jì)與信息學(xué)院

國(guó)際貿(mào)易統(tǒng)計(jì)**


3


54

3

統(tǒng)計(jì)與信息學(xué)院

數(shù)理金融***

 

3


54

3

統(tǒng)計(jì)與信息學(xué)院

金融統(tǒng)計(jì)***


2


36

2

統(tǒng)計(jì)與信息學(xué)院

統(tǒng)計(jì)計(jì)算


2


36

2

統(tǒng)計(jì)與信息學(xué)院

隨機(jī)過(guò)程


2


36

2

統(tǒng)計(jì)與信息學(xué)院

非參數(shù)統(tǒng)計(jì)


2


36

2

統(tǒng)計(jì)與信息學(xué)院

復(fù)雜數(shù)據(jù)統(tǒng)計(jì)分析


2


36

2

統(tǒng)計(jì)與信息學(xué)院

多元統(tǒng)計(jì)分析


2


36

2

統(tǒng)計(jì)與信息學(xué)院

數(shù)據(jù)分析與統(tǒng)計(jì)建模

2



36

2

統(tǒng)計(jì)與信息學(xué)院

抽樣理論與應(yīng)用

 

2


36

2

統(tǒng)計(jì)與信息學(xué)院

應(yīng)用型

全球價(jià)值鏈統(tǒng)計(jì)**


2


36

2

統(tǒng)計(jì)與信息學(xué)院

國(guó)際貿(mào)易統(tǒng)計(jì)調(diào)查**


2


36

2

統(tǒng)計(jì)與信息學(xué)院

金融計(jì)量學(xué)***

3



54

3

統(tǒng)計(jì)與信息學(xué)院

高頻數(shù)據(jù)與量化交易***


2


36

2

統(tǒng)計(jì)與信息學(xué)院

優(yōu)化方法與數(shù)據(jù)分析實(shí)踐

2



36

2

統(tǒng)計(jì)與信息學(xué)院

數(shù)據(jù)科學(xué)技術(shù)與應(yīng)用

2



36

2

統(tǒng)計(jì)與信息學(xué)院

經(jīng)濟(jì)指數(shù)理論與應(yīng)用研究


2


36

2

統(tǒng)計(jì)與信息學(xué)院

社會(huì)網(wǎng)絡(luò)分析與計(jì)算方法


2


36

2

國(guó)際經(jīng)貿(mào)學(xué)院

互聯(lián)網(wǎng)前沿技術(shù)創(chuàng)新應(yīng)用案例


2


36

2

統(tǒng)計(jì)與信息學(xué)院

算法設(shè)計(jì)與實(shí)踐


2


36

2

統(tǒng)計(jì)與信息學(xué)院

高級(jí)數(shù)據(jù)庫(kù)技術(shù)

 

2


36

2

統(tǒng)計(jì)與信息學(xué)院

機(jī)器學(xué)習(xí)


3 


54

3

統(tǒng)計(jì)與信息學(xué)院

經(jīng)濟(jì)數(shù)據(jù)挖掘與量化研究



2

36

2

統(tǒng)計(jì)與信息學(xué)院

復(fù)雜系統(tǒng)與復(fù)雜網(wǎng)絡(luò)

 


2

36

2

統(tǒng)計(jì)與信息學(xué)院

跨專業(yè)

金融工程研究

 

2

 

36

2

金融管理學(xué)院

服務(wù)貿(mào)易與全球價(jià)值鏈

 

2


36

2

貿(mào)易談判學(xué)院

國(guó)際貿(mào)易實(shí)務(wù)

 

2


36

2

國(guó)際經(jīng)貿(mào)學(xué)院

市場(chǎng)營(yíng)銷專題


2


36

2

工商管理學(xué)院

國(guó)際金融研究

 

 

2

36

2

金融管理學(xué)院

投資學(xué)

 

 

2

36

2

金融管理學(xué)院

電子商務(wù)

 

 

2

36

2

國(guó)際經(jīng)貿(mào)學(xué)院

人口、資源和環(huán)境經(jīng)濟(jì)學(xué)



2

36

2

國(guó)際經(jīng)貿(mào)學(xué)院

心理與行為研究方法



2

36

2

工商管理學(xué)院



金融風(fēng)險(xiǎn)管理



2

36

2

金融管理學(xué)院

名師講座

8

2


社會(huì)實(shí)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“l(fā)ecture 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.