數(shù)字引領(lǐng)時代  智能開創(chuàng)未來

2022級統(tǒng)計學(xué)(理學(xué))碩士研究生培養(yǎng)方案

2015級數(shù)量經(jīng)濟學(xué)碩士研究生培養(yǎng)方案

2022級統(tǒng)計學(xué)(理學(xué))碩士研究生培養(yǎng)方案


所屬學(xué)科門類:理學(xué)

所屬一級學(xué)科:統(tǒng)計學(xué)

所屬院系:統(tǒng)計與信息學(xué)院


一、培養(yǎng)目標

本專業(yè)旨在培養(yǎng)德才兼?zhèn)?,具有家國情懷和國際視野,具備良好政治素質(zhì)與職業(yè)道德,擁有堅實的統(tǒng)計學(xué)、數(shù)學(xué)、經(jīng)濟學(xué)理論基礎(chǔ),掌握現(xiàn)代統(tǒng)計分析方法和相關(guān)計算機技術(shù),在經(jīng)濟、金融與商務(wù)等領(lǐng)域,熟練地運用現(xiàn)代統(tǒng)計、計量分析和大數(shù)據(jù)分析等方法解決經(jīng)濟系統(tǒng)中相關(guān)問題的復(fù)合型與開放型專業(yè)人才。

二、學(xué)制

本專業(yè)學(xué)制為2.5年。在規(guī)定時期完成課程學(xué)習(xí),但未完成學(xué)位論文者,可申請延長學(xué)習(xí)年限,累計最長學(xué)習(xí)年限不得超過4.5年。

三、研究方向

1.數(shù)理統(tǒng)計學(xué)

2.社會經(jīng)濟統(tǒng)計學(xué)

3.金融統(tǒng)計、風(fēng)險管理與精算學(xué)

4.數(shù)據(jù)科學(xué)與商務(wù)統(tǒng)計

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,跨專業(yè)選修課2學(xué)分,名師講座2學(xué)分,社會實踐1學(xué)分。此外,本專業(yè)碩士研究生必須通過國家英語六級考試,或者經(jīng)相同水平的英語測試,達到合格要求。具體課程安排和學(xué)分見附表。

五、社會實踐

根據(jù)本專業(yè)的培養(yǎng)方案,對于統(tǒng)計學(xué)高級研究人才的培養(yǎng),要求掌握概率論、統(tǒng)計推斷、統(tǒng)計編程等基礎(chǔ)課和專業(yè)課,并具備將所學(xué)知識應(yīng)用在科學(xué)研究中的應(yīng)用能力。

對于統(tǒng)計學(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實踐。通過社會實踐,培養(yǎng)學(xué)生的實踐能力、分析問題和解決問題的能力以及綜合運用所學(xué)基礎(chǔ)知識和基本技能的能力,同時也為增強學(xué)生適應(yīng)社會的能力和就業(yè)競爭力。社會實踐的考核方式主要包括以下幾個方面:(1)運用統(tǒng)計學(xué)知識分析和思考社會實踐過程中發(fā)生的事情;(2)將社會實踐中的經(jīng)驗與教訓(xùn)總結(jié)成案例;(3)掌握與實習(xí)單位有關(guān)行業(yè)的基本知識與基本技能;(4)總結(jié)有關(guān)行業(yè)的管理知識與基本技能。成果是圍繞上述內(nèi)容寫一篇社會實踐報告。

具體要求見《上海對外經(jīng)貿(mào)大學(xué)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(xué)術(shù)科研能力,發(fā)揮研究生導(dǎo)師的研究指導(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)計學(xué)專業(yè)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(yǎng)實行導(dǎo)師負責(zé)制。

、學(xué)位論文

研究生必須按規(guī)定時間完成學(xué)位論文撰寫,經(jīng)導(dǎo)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(zhì)量達到所申請學(xué)位的合格要求。具體要求見《上海對外經(jīng)貿(mào)大學(xué)碩士學(xué)位管理辦法實施細則》。學(xué)位論文的寫作要求見《上海對外經(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

學(xué)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(xué)院

馬克思主義與社會科學(xué)方法論研究

1

 

 

18

1

馬克思主義學(xué)院

高級英語口語與寫作


2

 

36

2

國際商務(wù)外語學(xué)院

統(tǒng)計軟件(英)

2

 

 

36

2

統(tǒng)計與信息學(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)計與信息學(xué)院

統(tǒng)計學(xué)前沿文獻導(dǎo)讀


1


18

1

統(tǒng)計與信息學(xué)院

高等統(tǒng)計學(xué)

3

 

 

54

3

統(tǒng)計與信息學(xué)院

高等概率論

3

 

 

54

3

統(tǒng)計與信息學(xué)院

高級程序設(shè)計

2

 

 

36

2

統(tǒng)計與信息學(xué)院

高級計量經(jīng)濟學(xué)

3



54

3

統(tǒng)計與信息學(xué)院

機器學(xué)習(xí)

 

3

 

54

3

統(tǒng)計與信息學(xué)院

統(tǒng)計計算

 

2

 

36

2

統(tǒng)計與信息學(xué)院

選修

理 論 型

數(shù)據(jù)分析與統(tǒng)計建模

2


 

36

2

統(tǒng)計與信息學(xué)院

貝葉斯統(tǒng)計

 

2

 

36

2

統(tǒng)計與信息學(xué)院

隨機過程


2


36

2

統(tǒng)計與信息學(xué)院

線性模型理論

 

2

 

36

2

統(tǒng)計與信息學(xué)院

非參數(shù)統(tǒng)計


2


36

2

統(tǒng)計與信息學(xué)院

高級計量經(jīng)濟學(xué)(II


3


54

3

統(tǒng)計與信息學(xué)院

金融工程


2


36

2

統(tǒng)計與信息學(xué)院

數(shù)理金融


3


54

3

統(tǒng)計與信息學(xué)院

多元統(tǒng)計分析

 

2

 

36

2

統(tǒng)計與信息學(xué)院

時間序列分析

 

2

 

36

2

統(tǒng)計與信息學(xué)院

試驗設(shè)計與建模

 

2


36

2

統(tǒng)計與信息學(xué)院

抽樣理論與應(yīng)用

 

2


36

2

統(tǒng)計與信息學(xué)院

應(yīng) 用 型

優(yōu)化方法與數(shù)據(jù)分析實踐

2



36

2

統(tǒng)計與信息學(xué)院

金融計量學(xué)

3


 

54

3

統(tǒng)計與信息學(xué)院

復(fù)雜數(shù)據(jù)統(tǒng)計分析


2


36

2

統(tǒng)計與信息學(xué)院

廣義線性與混合效應(yīng)模型(英)

 

2


36

2

統(tǒng)計與信息學(xué)院

時空統(tǒng)計理論及應(yīng)用

 

2

 

36

2

統(tǒng)計與信息學(xué)院

國際貿(mào)易統(tǒng)計調(diào)查


2


36

2

統(tǒng)計與信息學(xué)院

社會網(wǎng)絡(luò)分析與計算方法


2


36

2

國際經(jīng)貿(mào)學(xué)院

商務(wù)大數(shù)據(jù)案例分析


2


36

2

統(tǒng)計與信息學(xué)院

算法設(shè)計與實踐


2


36

2

統(tǒng)計與信息學(xué)院

分布式計算


2


36

2

統(tǒng)計與信息學(xué)院

高級數(shù)據(jù)庫技術(shù)

 

2

 

36

2

統(tǒng)計與信息學(xué)院

高頻數(shù)據(jù)與量化交易


2


36

2

統(tǒng)計與信息學(xué)院

全球價值鏈統(tǒng)計


2


36

2

統(tǒng)計與信息學(xué)院

復(fù)雜系統(tǒng)與復(fù)雜網(wǎng)絡(luò)



2

36

2

統(tǒng)計與信息學(xué)院

神經(jīng)網(wǎng)絡(luò)與深度學(xué)習(xí)



2

36

2

統(tǒng)計與信息學(xué)院

強化學(xué)習(xí)基礎(chǔ)



2

36

2

統(tǒng)計與信息學(xué)院

業(yè)

國際貿(mào)易實務(wù)


2


36

3

國際經(jīng)貿(mào)學(xué)院

電子商務(wù)



2

36

2

國際經(jīng)貿(mào)學(xué)院

人口、資源和環(huán)境經(jīng)濟學(xué)

 


2

36

2

國際經(jīng)貿(mào)學(xué)院

財務(wù)管理研究


2


36

2

會計學(xué)院

市場營銷專題


2


36

2

工商管理學(xué)院

心理與行為研究方法

 

 

2

36

2

工商管理學(xué)院

服務(wù)貿(mào)易與全球價值鏈


2


36

2

貿(mào)易談判學(xué)院

固定收益證券研究

 


2

36

2

金融管理學(xué)院

金融風(fēng)險管理

 

 

2

36

2

金融管理學(xué)院

投資學(xué)

 

 

2

36

2

金融管理學(xué)院

名師講座

8

2


社會實踐

 

 

 

 

1
















MasterPrograminStatistics for2022


Field:Science

Discipline:Statistics

School:School of Statistics and Information


I.Objectives

Thismajor aims to cultivate compound and open professionals who have bothability and political integrity, have the feelings of home andcountry and international vision, have good political quality andprofessional ethics, have a solid theoretical foundation instatistics, mathematics and economics, master modern statisticalanalysis methods and related computer technologies, and skillfullyuse modern statistics, econometric analysis and big data analysismethods to solve related problems in the economic system in thefields of economy, finance and commerce.

II.Duration of the Program

Theduration of the program is 2.5 years. Students who have successfullycompleted the coursework within the required time but have notcompleted their dissertation can apply for an extension. Thecumulative maximum length of study shall not exceed 4.5 years.

III.Research Areas

1.Mathematical Statistics

2.Socio-economic Statistics

3.Financial Statistics, Risk Management and Actuarial Science

4.Data Science and Business Statistics

IV.Courses and Credits

Allstudents must earn 38 credits, including 7 “common required course”credits, 18 “required course” credits, 8 “major optionalcourse” credits, 2 “cross-specialty optional course” credits,2 “l(fā)ecturecourse” credits and 1“social practice” credit. In addition,master candidates in this program must pass College English Test(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, students who are going to be researchers are requiredto have a good knowledge of probability theory, statisticalinference, statistical methods and statistical programming. They arealso required to apply the knowledge in scientific research.

Forstudents who are going to be practical personnel, they are requiredto take part in social practice. Through social practice, studentscan be equipped with practical abilities to analyze and solveproblems by using the basic knowledge and skills they have learned inthis program, and hence, enhance their social adaptability andemployment competitiveness. Social practice is to be assessed bycompleting a report covering the following points: 1) Analyze andconsider the events occurring in social practice by using the scienceof statistics. 2) Sum up the experiences and lessons in socialpractice for case studies. 3) Be familiar with the basic knowledgeand skill of the internship and the relevant industry. 4) Summarizethe management knowledge and skills of the relevant industry.

Forspecific requirements, please refer to the Detailed Rules for “theImplementation of social practice for master's degree students ofShanghai University of International Business and Economics”.

VI.Academic Training

Inorder to improve the academic research ability of graduate studentsand give full play to the research guidance role of graduate tutors,graduate students must engage in scientific research and improvetheir academic literacy 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 dissertation writing in accordance withthe prescribed time, and with the consent of the supervisor,recommend the defense and pass the thesis defense organized by theuniversity and the college, and the quality level of the thesis meetsthe qualified requirements of the applied degree. For specificrequirements, please refer to the “Detailed Rules for theImplementation of the Measures for the Administration of Master'sDegrees of Shanghai University of International Business andEconomics”. For the writing requirements of the dissertation,please refer to the “Content and Format Requirements for theMaster's Thesis of Shanghai University of International Business andEconomics (Revised in 2020)”.

AttachedTable

Category

Course Name

Semester

Credit

Hours

Credit

Department

1

2

3

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 SoftwareEnglish

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 literature of statistics


1


18

1

School of Statistics and Information

Advanced Statistics

3



54

3

School of Statistics and Information

Advanced Probability

3



54

3

School of Statistics and Information

Advanced Programming

2



36

2

School of Statistics and Information

Advanced Econometrics

3



54

3

School of Statistics and Information

Machine Learning


3


54

3

School of Statistics and Information

Statistical Computing


2


36

2

School of Statistics and Information

Optional Courses

Theoretical

Data Analysis and Statistical Model

2



36

2

School of Statistics and Information

Bayesian Statistics


2


36

2

School of Statistics and Information

Random Process


2


36

2

School of Statistics and Information

Linear Model


2


36

2

School of Statistics and Information

Nonparametric Statistics


2


36

2

School of Statistics and Information

Advanced Econometrics (II)


2


36

2

School of Statistics and Information

Financial Engineering


2


36

2

School of Statistics and Information

Mathematical Finance


3


54

3

School of Statistics and Information

Multivariate Statistics


2


36

2

School of Statistics and Information

Time Series Analysis


2


36

2

School of Statistics and Information

Experimental Design and Modeling

 

 

2

36

2

School of Statistics and Information

Sampling Theory and Application

 

 

2

36

2

School of Statistics and Information

Applied

Optimization Methods and Data Analysis Applications

2



36

2

School of Statistics and Information

Financial Econometrics

3



54

3

School of Statistics and Information

Statistical Analysis of Complex Data


2

 

36

2

School of Statistics and Information

Generalized Linear Model and Mixed Effects Model

 


36

2

School of Statistics and Information

Theory and Application of Spatio-Temporal Statistics

 

2

 

36

2

School of Statistics and Information

International Trade Statistics Research


2


36

2

School of Statistics and Information

Social Network Analysis and Calculation Methods


2


36

2

School of Statistics and Information

Analysis of Big Data Cases


2


36

2

School of Statistics and Information

Introduction to Algorithms

 

2

 

36

2

School of Statistics and Information

Algorithm Design and Practice


2


36

2

School of Statistics and Information

Distributed Computing


2


36

2

School of Statistics and Information

Advanced Database Technology

 

3

 

54

3

School of Statistics and Information

Global Value Chain Statistics



2

36

2

School of Statistics and Information

High-Frequency Trading and Quantitative Finance 

 


2

36

2

School of Statistics and Information

Complex System and Networks



2

36

2

School of Statistics and Information

Neutral Network and Deep Learning



2

36

2

School of Statistics and Information

Reinforcement Learning



2

36

2

School of Statistics and Information

Cross-Specialty

Practice of Import and Export

 

2

 

36

2

School of Business

Electronic Commerce

 

 

2

36

2

School of Business

Population, Resource and Environmental Economics



2

36

2

School of Business

Research on Financial Management


2


36

2

School of Accounting

Monographic Study on Marketing Management

 

2

 

36

2

School of Management

Empirical Methods in Psychology and Behavior Research

 

 

2

36

2

School of Management

Services Trade and Global Value Chain


2


36

2

School of Trade Negotiation

Fixed Income Securities Research



2

36

2

School of Finance

Financial Risk Management



2

36

2

School of Finance

Investment

 

 

2

36

2

School of Finance

Lectures

eight times

2

School of Statistics and Information

Social Practice


1

School of Statistics and Information