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2022級應(yīng)用統(tǒng)計專業(yè)學(xué)位碩士研究生培養(yǎng)方案

2022級應(yīng)用統(tǒng)計專業(yè)學(xué)位碩士研究生培養(yǎng)方案

所屬學(xué)科門類：

所屬一級學(xué)科：

所屬院系：統(tǒng)計與信息學(xué)院

應(yīng)用統(tǒng)計（025200）

一、培養(yǎng)目標(biāo)

本專業(yè)旨在培養(yǎng)德才兼?zhèn)洌哂屑覈閼押蛧H視野，具備良好的政治素質(zhì)與職業(yè)道德，系統(tǒng)掌握統(tǒng)計學(xué)的基本思想和收集、整理與分析數(shù)據(jù)的方法，并能根據(jù)應(yīng)用領(lǐng)域數(shù)據(jù)的特點選用恰當(dāng)?shù)慕y(tǒng)計方法進(jìn)行調(diào)查、分析、推斷和預(yù)測，熟練應(yīng)用統(tǒng)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(tǒng)計軟件的計算結(jié)果，畢業(yè)后能夠在國家機(jī)關(guān)、經(jīng)貿(mào)金融類企事業(yè)單位、咨詢企業(yè)及社會組織，從事統(tǒng)計調(diào)查、數(shù)據(jù)分析和決策支持等工作的高層次、應(yīng)用型統(tǒng)計專門人才。

二、學(xué)制

本專業(yè)學(xué)制為2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，累計最長年限不超過4年。

三、研究方向

1.數(shù)據(jù)科學(xué)與商務(wù)統(tǒng)計

2.大數(shù)據(jù)技術(shù)與貿(mào)易統(tǒng)計

3.金融科技與風(fēng)險管理

4.人工智能與商務(wù)數(shù)據(jù)挖掘

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，其中包括公共必修課7學(xué)分，學(xué)位必修課13學(xué)分，方向選修課至少7學(xué)分，專業(yè)選修課至少2學(xué)分，跨專業(yè)選修課2學(xué)分，實踐教學(xué)7學(xué)分（含案例分析1學(xué)分，名師講座2學(xué)分，社會實踐4學(xué)分）。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，要求學(xué)生在研究生期間參加一定的社會實踐，在政府及企事業(yè)單位的統(tǒng)計工作崗位實習(xí)實踐不少于半年，參與和完成一項社會實際統(tǒng)計調(diào)查或數(shù)據(jù)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(xié)同育人。

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，同時也增強(qiáng)學(xué)生適應(yīng)社會的能力和就業(yè)競爭力。

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(xì)則》。

六、培養(yǎng)方式

應(yīng)用統(tǒng)計專業(yè)的課程均采取講授、討論和專題研究的方式進(jìn)行。對應(yīng)用統(tǒng)計專業(yè)研究生的培養(yǎng)實行雙導(dǎo)師制，其中一位導(dǎo)師來自培養(yǎng)單位，另一位導(dǎo)師來自與本領(lǐng)域相關(guān)的校外專家。

七、學(xué)位論文

學(xué)位論文在導(dǎo)師指導(dǎo)下，由碩士研究生本人按計劃進(jìn)度獨立完成。學(xué)位論文應(yīng)與實際問題、實際數(shù)據(jù)和實際案例緊密結(jié)合，可采用與數(shù)據(jù)收集、整理、分析相關(guān)的數(shù)據(jù)分析報告、應(yīng)用統(tǒng)計方法的實證研究等形式。

應(yīng)用統(tǒng)計專業(yè)研究生的學(xué)位論文開題報告應(yīng)在第2學(xué)期完成。學(xué)位論文的寫作要求參照《上海市應(yīng)用統(tǒng)計碩士專業(yè)學(xué)位論文基本要求和評價指標(biāo)體系》和《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）》。

修滿培養(yǎng)方案規(guī)定的學(xué)分、完成專業(yè)實習(xí)并通過學(xué)位論文答辯者，經(jīng)學(xué)位評定委員會審核，授予應(yīng)用統(tǒng)計碩士專業(yè)學(xué)位。

附表：

類別	課程名稱	第1學(xué)期	第2學(xué)期	第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) 位必修課	學(xué)術(shù)規(guī)范與論文寫作		1		18	1	統(tǒng)計與信息學(xué)院
	高等統(tǒng)計學(xué)	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
	數(shù)據(jù)分析與統(tǒng)計建模	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
	機(jī)器學(xué)習(xí)		3		54	3	統(tǒng)計與信息學(xué)院
方向選修課	數(shù)據(jù)科學(xué)與商務(wù)統(tǒng)計方向
	統(tǒng)計計算*		2		36	2	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
	算法設(shè)計與實踐*		2		36	2	統(tǒng)計與信息學(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
	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
	大數(shù)據(jù)技術(shù)與貿(mào)易統(tǒng)計方向
	高級計量經(jīng)濟(jì)學(xué)*	3			54	3	統(tǒng)計與信息學(xué)院
	國民經(jīng)濟(jì)核算理論與方法	3			54	3	統(tǒng)計與信息學(xué)院
	國際貿(mào)易統(tǒng)計		3		54	3	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
	數(shù)據(jù)科學(xué)技術(shù)與應(yīng)用*	2			36	2	統(tǒng)計與信息學(xué)院
	金融科技與風(fēng)險管理方向
	金融計量學(xué)*	2			36	2	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
	金融科技專題選講*		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
	人工智能與商務(wù)數(shù)據(jù)挖掘方向
	算法導(dǎo)論*		2		36	2	統(tǒng)計與信息學(xué)院
	文本挖掘技術(shù)*		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
	計算機(jī)視覺*		2		36	2	統(tǒng)計與信息學(xué)院
	深度學(xué)習(xí)*		3		54	3	統(tǒng)計與信息學(xué)院
專業(yè)選修課	統(tǒng)計學(xué)前沿文獻(xiàn)導(dǎo)讀		1		18	1	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
	非參數(shù)統(tǒng)計		2		36	2	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
	廣義線性及混合效應(yīng)模型（英）		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
	國際貿(mào)易統(tǒng)計調(diào)查		2		36	2	統(tǒng)計與信息學(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
	時空統(tǒng)計理論及應(yīng)用		2		36	2	統(tǒng)計與信息學(xué)院
	高級計量經(jīng)濟(jì)學(xué)（II）		3		54	3	統(tǒng)計與信息學(xué)院
	隨機(jī)過程		2		36	2	統(tǒng)計與信息學(xué)院
	數(shù)據(jù)挖掘		2		36	2	統(tǒng)計與信息學(xué)院
	管理決策理論與方法		3		54	3	統(tǒng)計與信息學(xué)院
	博弈論		2		36	2	統(tǒng)計與信息學(xué)院
	Android移動應(yīng)用開發(fā)		2		36	2	統(tǒng)計與信息學(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)計與信息學(xué)院
	強(qiáng)化學(xué)習(xí)基礎(chǔ)			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
跨專業(yè)選修課	服務(wù)貿(mào)易與全球價值鏈		2		36	2	貿(mào)易談判學(xué)院
	可拓學(xué)專題		2		36	2	統(tǒng)計與信息學(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
	企業(yè)與公司法			2	36	2	法學(xué)院
	財務(wù)管理研究		2		36	2	會計學(xué)院
	公司金融研究		2		36	2	金融管理學(xué)院
	創(chuàng)業(yè)管理			2	36	2	工商管理學(xué)院
	國際貿(mào)易實務(wù)		2		36	2	國際經(jīng)貿(mào)學(xué)院
	金融風(fēng)險管理			2	36	2	金融管理學(xué)院
實踐教學(xué)環(huán)節(jié)	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?qū)I(yè)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
Category	CourseName	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**