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2022級(jí)統(tǒng)計(jì)學(xué)(理學(xué))碩士研究生培養(yǎng)方案(留學(xué)生)

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)(理學(xué))碩士研究生培養(yǎng)方案(留學(xué)生)


所屬學(xué)科門類:理學(xué)

所屬一級(jí)學(xué)科:統(tǒng)計(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)?,具有家?guó)情懷和國(guó)際視野,具備良好政治素質(zhì)與職業(yè)道德,擁有堅(jiān)實(shí)的統(tǒng)計(jì)學(xué)、數(shù)學(xué)、經(jīng)濟(jì)學(xué)理論基礎(chǔ),掌握現(xiàn)代統(tǒng)計(jì)分析方法和相關(guān)計(jì)算機(jī)技術(shù),在經(jīng)濟(jì)、金融與商務(wù)等領(lǐng)域,熟練地運(yùn)用現(xiàn)代統(tǒng)計(jì)、計(jì)量分析和大數(shù)據(jù)分析與挖掘等方法解決經(jīng)濟(jì)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(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)年限不得超過4.5年。

三、研究方向

1.數(shù)理統(tǒng)計(jì)學(xué)

2.社會(huì)經(jīng)濟(jì)統(tǒng)計(jì)學(xué)

3.金融統(tǒng)計(jì)、風(fēng)險(xiǎn)管理與精算學(xué)

4.數(shù)據(jù)科學(xué)與商務(wù)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33學(xué)分,其中包括公共課7學(xué)分,學(xué)位基礎(chǔ)課15學(xué)分,選修課8學(xué)分,名師講座2學(xué)分,社會(huì)實(shí)踐1學(xué)分。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),要求掌握概率論、統(tǒng)計(jì)推斷、統(tǒng)計(jì)編程等基礎(chǔ)課和專業(yè)課,并具備將所學(xué)知識(shí)應(yīng)用在科學(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。通過社會(huì)實(shí)踐,培養(yǎng)學(xué)生的實(shí)踐能力、分析問題和解決問題的能力以及綜合運(yùn)用所學(xué)基礎(chǔ)知識(shí)和基本技能的能力,同時(shí)也為增強(qiáng)學(xué)生適應(yīng)社會(huì)的能力和就業(yè)競(jìng)爭(zhēng)力。社會(huì)實(shí)踐的考核方式主要包括以下幾個(gè)方面:(1)運(yùn)用統(tǒng)計(jì)學(xué)知識(shí)分析和思考社會(huì)實(shí)踐過程中發(fā)生的事情;(2)將社會(huì)實(shí)踐中的經(jīng)驗(yàn)與教訓(xùn)總結(jié)成案例;(3)掌握與實(shí)習(xí)單位有關(guān)行業(yè)的基本知識(shí)與基本技能;(4)總結(jié)有關(guān)行業(yè)的管理知識(shí)與基本技能。成果是圍繞上述內(nèi)容寫一篇社會(huì)實(shí)踐報(bào)告。

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)。

、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。

、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)漢語(yǔ)口語(yǔ)與寫作


3

 

36

2

國(guó)際商務(wù)外語(yǔ)學(xué)院

統(tǒng)計(jì)軟件(英)

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

高等統(tǒng)計(jì)學(xué)

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

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

機(jī)器學(xué)習(xí)

 

3

 

54

3

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

選 修

理論型

貝葉斯統(tǒng)計(jì)

 

2

 

36

2

統(tǒng)計(jì)與信息學(xué)院

線性模型理論

 

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

非參數(shù)統(tǒng)計(jì)


2

 

36

2

統(tǒng)計(jì)與信息學(xué)院

隨機(jī)過程


2


36

2

統(tǒng)計(jì)與信息學(xué)院

金融工程


2


36

2

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

試驗(yàn)設(shè)計(jì)與建模

 

 

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

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

金融計(jì)量學(xué)

3


 

54

3

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

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

時(shí)空統(tǒng)計(jì)理論與應(yīng)用

 

2

 

36

2

統(tǒng)計(jì)與信息學(xué)院

分布式計(jì)算


2

 

36

2

統(tǒng)計(jì)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(jì)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(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

強(qiáng)化學(xué)習(xí)基礎(chǔ)



2

36

2

統(tǒng)計(jì)與信息學(xué)院

全球價(jià)值鏈統(tǒng)計(jì)


2


36

2

統(tǒng)計(jì)與信息學(xué)院

名師講座

8

2


社會(huì)實(shí)踐

 

 

 

 

1





MasterPrograminStatistics for2022 (Oversea Students)


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, economy, econometric analysis and big dataanalysis and mining methods to solve related problems in the economicsystem in the fields of economy, finance and business.

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.Field of Research

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 33 credits, including 7 “common required course”credits, 15 “required course” credits, 8 “major optionalcourse” credits, 2 “l(fā)ecture course” credits and 1 “socialpractice” credit. Specific course structure can be found in theappendix.

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

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


3


36

3

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 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

Data Analysis and Statistical Model


2


36

2

School of Statistics and Information

Optional Courses

Theoretical Courses

Bayesian Statistics


2


36

2

School of Statistics and Information

Linear Model


2


36

2

School of Statistics and Information

Data Analysis and Statistical Model

2



36

2

School of Statistics and Information

Nonparametric Statistics


2


36

2

School of Statistics and Information

Stochastic Process


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

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 Courses

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

Advanced Database Technology

 

2

 

36

2

School of Statistics and Information

Theory and Application of Spatio-temporal Statistics

 

2

 

36

2

School of Statistics and Information

Distributed Computing

 

2

 

36

3

School of Statistics and Information

Generalized Linear Model and Mixed Effects ModelEnglish

 

 

2

36

2

School of Statistics and Information

Neutral Network and Deep Learning



2

36

2

School of Statistics and Information

Complex System and Networks



2

36

2

School of Statistics and Information

Reinforcement Learning



2

36

2

School of Statistics and Information

Global Value Chain Statistics


2


36

2

School of Statistics and Information

Lectures

eight times

2


Social Practice





1