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2022級統計學(理學)碩士研究生培養方案(留學生)

2015級數量經濟學碩士研究生培養方案

2022級統計學(理學)碩士研究生培養方案(留學生)


所屬學科門類:理學

所屬一級學科:統計學

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,擁有堅實的統計學、數學、經濟學理論基礎,掌握現代統計分析方法和相關計算機技術,在經濟、金融與商務等領域,熟練地運用現代統計、計量分析和大數據分析與挖掘等方法解決經濟系統中相關問題的復合型與開放型專業人才。

二、學制

本專業學制為2.5年。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,累計最長年限不得超過4.5年。

三、研究方向

1.數理統計學

2.社會經濟統計學

3.金融統計、風險管理與精算學

4.數據科學與商務統計

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33學分,其中包括公共課7學分,學位基礎課15學分,選修課8學分,名師講座2學分,社會實踐1學分。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,要求掌握概率論、統計推斷、統計編程等基礎課和專業課,并具備將所學知識應用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,培養學生的實踐能力、分析問題和解決問題的能力以及綜合運用所學基礎知識和基本技能的能力,同時也為增強學生適應社會的能力和就業競爭力。社會實踐的考核方式主要包括以下幾個方面:(1)運用統計學知識分析和思考社會實踐過程中發生的事情;(2)將社會實踐中的經驗與教訓總結成案例;(3)掌握與實習單位有關行業的基本知識與基本技能;(4)總結有關行業的管理知識與基本技能。成果是圍繞上述內容寫一篇社會實踐報告。

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,發揮研究生導師的研究指導作用,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。

、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。

、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

高級漢語口語與寫作


3

 

36

2

國際商務外語學院

統計軟件(英)

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

高等統計學

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

高級計量經濟學

3



54

3

統計與信息學院

機器學習

 

3

 

54

3

統計與信息學院

統計計算

 

2


36

2

統計與信息學院

選 修

理論型

貝葉斯統計

 

2

 

36

2

統計與信息學院

線性模型理論

 

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

非參數統計


2

 

36

2

統計與信息學院

隨機過程


2


36

2

統計與信息學院

金融工程


2


36

2

統計與信息學院

數理金融

 

3

 

54

3

統計與信息學院

試驗設計與建模

 

 

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

優化方法與數據分析實踐

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

復雜數據統計分析


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

時空統計理論與應用

 

2

 

36

2

統計與信息學院

分布式計算


2

 

36

2

統計與信息學院

廣義線性與混合效應模型(英)

 

 

2

36

2

統計與信息學院

神經網絡與深度學習



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

強化學習基礎



2

36

2

統計與信息學院

全球價值鏈統計


2


36

2

統計與信息學院

名師講座

8

2


社會實踐

 

 

 

 

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 “lecture 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






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