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2022級應用統計專業學位碩士研究生培養方案

2022級應用統計專業學位碩士研究生培養方案


所屬學科門類：

所屬一級學科：

所屬院系：統計與信息學院

應用統計（025200）


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，具備良好的政治素質與職業道德，系統掌握統計學的基本思想和收集、整理與分析數據的方法，并能根據應用領域數據的特點選用恰當的統計方法進行調查、分析、推斷和預測，熟練應用統計軟件并具備一定的編程能力，能夠正確分析判斷和解釋統計軟件的計算結果，畢業后能夠在國家機關、經貿金融類企事業單位、咨詢企業及社會組織，從事統計調查、數據分析和決策支持等工作的高層次、應用型統計專門人才。

二、學制

本專業學制為2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，累計最長年限不超過4年。

三、研究方向

1.數據科學與商務統計

2.大數據技術與貿易統計

3.金融科技與風險管理

4.人工智能與商務數據挖掘

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，其中包括公共必修課7學分，學位必修課13學分，方向選修課至少7學分，專業選修課至少2學分，跨專業選修課2學分，實踐教學7學分（含案例分析1學分，名師講座2學分，社會實踐4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，要求學生在研究生期間參加一定的社會實踐，在政府及企事業單位的統計工作崗位實習實踐不少于半年，參與和完成一項社會實際統計調查或數據分析的實踐工作和實踐報告。同時，須將思想政治教育融入社會實踐，協同育人。

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，同時也增強學生適應社會的能力和就業競爭力。

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、培養方式

應用統計專業的課程均采取講授、討論和專題研究的方式進行。對應用統計專業研究生的培養實行雙導師制，其中一位導師來自培養單位，另一位導師來自與本領域相關的校外專家。

七、學位論文

學位論文在導師指導下，由碩士研究生本人按計劃進度獨立完成。學位論文應與實際問題、實際數據和實際案例緊密結合，可采用與數據收集、整理、分析相關的數據分析報告、應用統計方法的實證研究等形式。

應用統計專業研究生的學位論文開題報告應在第2學期完成。學位論文的寫作要求參照《上海市應用統計碩士專業學位論文基本要求和評價指標體系》和《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）》。

修滿培養方案規定的學分、完成專業實習并通過學位論文答辯者，經學位評定委員會審核，授予應用統計碩士專業學位。


附表：

類別

課程名稱

第1學期

第2學期

第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（英）

2



36

2

統計與信息學院

學 位 必

修

課

學術規范與論文寫作


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

數據分析與統計建模

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

方 向 選

修

課

數據科學與商務統計方向

統計計算*


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

算法設計與實踐*


2


36

2

統計與信息學院

商務大數據案例分析*


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

大數據技術與貿易統計方向

高級計量經濟學*

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

國際貿易統計


3


54

3

統計與信息學院

全球價值鏈統計


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

金融科技與風險管理方向

金融計量學*

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

金融科技專題選講*


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

人工智能與商務數據挖掘方向

算法導論*


2


36

2

統計與信息學院

文本挖掘技術*


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

計算機視覺*


2


36

2

統計與信息學院

深度學習*


3


54

3

統計與信息學院






專業選修課

統計學前沿文獻導讀


1


18

1

統計與信息學院

貝葉斯統計


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

多元統計分析


2


36

2

統計與信息學院

廣義線性及混合效應模型（英）


2


36

2

統計與信息學院

試驗設計與建模

 

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

經濟數據挖掘與量化研究



2

36

2

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

時空統計理論及應用


2


36

2

統計與信息學院

高級計量經濟學（II）


3


54

3

統計與信息學院

隨機過程


2


36

2

統計與信息學院

數據挖掘


2


36

2

統計與信息學院

管理決策理論與方法


3


54

3

統計與信息學院

博弈論


2


36

2

統計與信息學院

Android移動應用開發


2


36

2

統計與信息學院

互聯網前沿技術創新應用案例


2


36

2

統計與信息學院

強化學習基礎



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

跨專業選修課

服務貿易與全球價值鏈


2


36

2

貿易談判學院

可拓學專題


2


36

2

統計與信息學院

市場營銷專題


2


36

2

工商管理學院

心理與行為研究方法



2

36

2

工商管理學院

企業與公司法



2

36

2

法學院

財務管理研究


2


36

2

會計學院

公司金融研究


2


36

2

金融管理學院

創業管理



2

36

2

工商管理學院


國際貿易實務


2


36

2

國際經貿學院


金融風險管理



2

36

2

金融管理學院

實踐教學環節

案例分析



1

18

1


名師講座

8次


2


社會實踐





4


注：加*方向選修課亦可作為其他方向專業選修課。




Masterin Applied Statistics Program（2022）

Field:Statistics：

Discipline:

School:School of Statistics

AppliedStatistics（025200）


I.Objectives

Thismajor aims to cultivate both ability and political integrity, withfamily and country feelings and international vision, with goodpolitical quality and professional ethics, systematic mastery of thebasic ideas of statistics and methods of collecting, collating andanalyzing data, and can choose appropriate statistical methods forinvestigation, analysis, inference and prediction according to thecharacteristics of data in the field of application, skilledapplication of statistical software and have certain programmingability, can correctly analyze and judge and interpret thecalculation results of statistical software, and can be in stateorgans after graduation. High-level and application-orientedstatistical professionals engaged in statistical surveys, dataanalysis and decision support, economic, trade and financialenterprises, consulting enterprises and social organizations.

Ⅱ.Duration of the Program

Thefull-time student of this major is 2 years. Those who have completedthe course study within the prescribed period, but have not completedthe degree thesis, may apply to extend the study period. The maximumcumulative years of study is 4 years.

Ⅲ.Research Areas

1.Data Science and Business Statistics

2.Big Data Technology andTrade Statistics

3.Financial Technology andRisk Management

4.Artificial Intelligenceand Business Data Mining

Ⅳ.Courses and Credits

Duringthe master's degree, the students should complete 38 credits,including 7 credits for common required courses, 13 credits forrequired courses, at least 7 credits for direction elective courses,at least 2 credits for major elective courses, 2 credits forcross-specialty courses, 7 credits for practical teaching (including1 credit for case analysis, 2 credits for lectures, 4 credits forsocial practice). See the attached table for the specific coursearrangement and credits.

Ⅴ.Social Practice

Accordingto the training objectives of this major, students are required toparticipate in certain social practices during postgraduate period,and practice in the statistical work positions of the government,enterprises and institutions for no less than half a year,participate in and complete the practical work and report of a socialactual statistical survey or data analysis. At the same time, we mustintegrate ideological and political education into social practiceand educate people cooperatively.

Throughsocial practice, students' practical ability, problem-analyzing andproblem-solving skills, and the ability to comprehensively using thebasic knowledge and basic skills learned are also cultivated. At thesame time, students' ability to adapt to society and employmentcompetitiveness are also enhanced.

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.Education Modes

Thecourses of applied statistics are all finished in the patterns oflecture, discussion and research in the selected topics. A dual tutorsystem is implemented for the cultivation of graduate studentsmajoring in applied statistics. One tutor comes from the trainingunit, and the other tutor comes from outside the school and expertsin the field.

VII.Degree Thesis

Underthe guidance of the tutor, the dissertation should be independentlycompleted by the master student himself according to the schedule.The dissertation should be closely combined with practical problems,actual data and actual cases. And it may take the form of dataanalysis reports related to data collection, collation and analysis,empirical research using statistical methods, etc.

Thethesis proposal for graduate students of applied statistics should becompleted in the second semester. The writing requirements of thethesis refer to 'Basic Requirements and Evaluation Index Systemof Thesis for Master’s Degree of Applied Statistics in Shanghai'and 'Requirements for Format of Thesis for Master’s Degree inShanghai University of International Business and Economics (Revisedin 2020)'.

Thosewho complete the credits specified in the training plan, finishprofessional internships and pass the thesis defense will be awardeda master's degree in applied statistics by the degree evaluationcommittee.


AttachedTable:

Category

CourseName

Semester

CreditHours

Credit

Department

1

2

3




Common

RequiredCourses


Researchon Theory and Practice of Socialism with Chinese Characteristics(degree course)

2



36

2

Schoolof Marxism

Researchon Marxism and Social Science Methodology


1


18

1

Schoolof Marxism

AdvancedEnglish Speaking and Writing

2



36

2

Schoolof Foreign Language

StatisticsSoftware (English)

2



36

2

Schoolof Statistics and Information

RequiredCourses

AcademicStandards and Paper Writing


1


18

1

Schoolof Statistics and Information

AdvancedStatistics

3



54

3

Schoolof Statistics and Information

AdvancedProgramming

2



36

2

Schoolof Statistics and Information

DataAnalysis and Statistical Modeling

2



36

2

Schoolof Statistics and Information

AdvancedDatabase Technology


2


36

2

Schoolof Statistics and Information

MachineLearning


3


54

3

Schoolof Statistics and Information

DirectionElective Courses

DataScience and Business Statistics

StatisticalComputing*


2


36

2

Schoolof Statistics and Information

StatisticalAnalysis of Complex Data*


2


36

2

Schoolof Statistics and Information

AlgorithmsDesign and Practice*


2


36

2

Schoolof Statistics and Information

BusinessBig Data Case Analysis*


2


36

2

Schoolof Statistics and Information

OptimizationMethod and Data Analysis Practice*

2



36

2

Schoolof Statistics and Information

BigData Technology and Trade Statistics

AdvancedEconometrics*

3



54

3

Schoolof Statistics and Information

Theoryand Method of National Economic Accounting

3



54

3

Schoolof Statistics and Information

InternationalTrade Statistics


3


54

3

Schoolof Statistics and Information

GlobalValue Chain Statistics


2


36

2

Schoolof Statistics and Information

DataScience Technology and Application*

2



36

2

Schoolof Statistics and Information

FinancialTechnology and Risk Management

FinancialEconometrics*

2



36

2

Schoolof Statistics and Information

FinancialEngineering*


2


36

2

Schoolof Statistics and Information

MathematicalFinance*


3


54

3

Schoolof Statistics and Information

SelectedLectures on Financial Technology*


2


36

2

Schoolof Statistics and Information

AlgorithmsDesign and Practice*


2


36

2

Schoolof Statistics and Information

ArtificialIntelligence and Business Data Mining

Introductionto Algorithms*


2


36

2

Schoolof Statistics and Information

TextMining Technology*


2


36

2

Schoolof Statistics and Information

DistributedComputing*


2


36

2

Schoolof Statistics and Information

ComputerVision*


2


36

2

Schoolof Statistics and Information

DeepLearning*


3


54

3

Schoolof Statistics and Information

MajorElective Courses

Introductionto Frontier Literature of Statistics


1


18

1

Schoolof Statistics and Information

BayesianStatistics


2


36

2

Schoolof Statistics and Information

NonparametricStatistics


2


36

2

Schoolof Statistics and Information

MultivariateStatistical Analysis


2


36

2

Schoolof Statistics and Information

GeneralizedLinear Mixed Effects Model (English)


2


36

2

Schoolof Statistics and Information

Designand Modeling of Experiments

 

2


36

2

Schoolof Statistics and Information

InternationalTrade Statistics Research


2


36

2

Schoolof Statistics and Information

DataMining and Quantitative Research in Economics


2


36

2

Schoolof Statistics and Information

High-frequencyData and Quantitative Transaction


2


36

2

Schoolof Statistics and Information

Theoryand Application of Spatio-temporal Statistics


2


36

2

Schoolof Statistics and Information

AdvancedEconometrics（II）


3


54

3

Schoolof Statistics and Information

StochasticProcess


2


36

2

Schoolof Statistics and Information

DataMining


2


36

2

Schoolof Statistics and Information

ManagementDecision Theory and Method


3


54

3

Schoolof Statistics and Information

GameTheory


2


36

2

Schoolof Statistics and Information

AndroidMobile Application Development


2


36

2

Schoolof Statistics and Information

InternetLeading Technology Innovative Applications


2


36

2

Schoolof Statistics and Information

ReinforcementLearning



2

36

2

Schoolof Statistics and Information

ComplexSystems and Complex Networks



2

36

2

Schoolof Statistics and Information

Cross-specialtyCourses

ServiceTrade and Global Value Chain


2


36

2

Schoolof Trade Negotiation

SpecificLectures of Extenics


2


36

2

Schoolof Statistics and Information

MonographicStudy on Marketing Management


2


36

2

Schoolof Management

EmpiricalMethods in Psychology and Behavior Research



2

36

2

Schoolof Management

MonographicStudy on Enterprise and Company Law



2

36

2

Schoolof Law

Researchon Financial Management


2


36

2

Schoolof Accounting

Researchin Corporate Finance


2


36

2

Schoolof Finance

EntrepreneurialManagement



2

36

2

Schoolof Management


Practiceof Import and Export


2


36

2

Schoolof Business


FinancialRisk Management



2

36

2

Schoolof Finance

PracticalTeaching

Casestudy



1

18

1


Lectures

8times


2


SocialPractice





4


Note:* the above three elective courses can also be used asprofessional elective courses in other directions



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