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2022級(jí)商務(wù)信息管理碩士研究生培養(yǎng)方案

2022級(jí)商務(wù)信息管理碩士研究生培養(yǎng)方案


所屬學(xué)科門類:管理學(xué)

所屬一級(jí)學(xué)科:工商管理

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)洌哂屑覈?guó)情懷和國(guó)際視野,具備良好政治素質(zhì)與職業(yè)道德,具有現(xiàn)代管理學(xué)、經(jīng)濟(jì)學(xué)理論基礎(chǔ),掌握系統(tǒng)理論、信息管理、數(shù)據(jù)分析等知識(shí),具有較高的信息技術(shù)應(yīng)用能力,有較強(qiáng)的創(chuàng)新和實(shí)踐能力,能夠應(yīng)用現(xiàn)代信息技術(shù)從事商務(wù)管理活動(dòng)的高級(jí)復(fù)合型人才。

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)學(xué)習(xí)年限不超過(guò)4.5年。

三、研究方向

1.商務(wù)數(shù)據(jù)挖掘

2.智能信息系統(tǒng)

3.網(wǎng)絡(luò)信息管理

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20學(xué)分,專業(yè)選修課6學(xué)分,跨專業(yè)選修課2學(xué)分,名師講座2學(xué)分,社會(huì)實(shí)踐1學(xué)分。此外,本專業(yè)碩士研究生必須通過(guò)國(guó)家英語(yǔ)六級(jí)考試,或者經(jīng)相同水平的英語(yǔ)測(cè)試,達(dá)到合格要求。具體課程安排和學(xué)分見(jiàn)附表。

五、社會(huì)實(shí)踐

根據(jù)本專業(yè)的培養(yǎng)方案,對(duì)于商務(wù)信息管理高級(jí)研究人才的培養(yǎng),要求掌握高級(jí)數(shù)據(jù)庫(kù)技術(shù)、管理學(xué)研究方法、運(yùn)籌學(xué)、機(jī)器學(xué)習(xí)等學(xué)位基礎(chǔ)課,掌握這些課程在科學(xué)研究中的應(yīng)用能力。

對(duì)于商務(wù)信息管理應(yīng)用型人才的培養(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(guò)社會(huì)實(shí)踐,培養(yǎng)學(xué)生的實(shí)踐能力、分析問(wèn)題和解決問(wèn)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)踐內(nèi)容的考核辦法主要包括以下幾個(gè)方面:(1)運(yùn)用課堂學(xué)過(guò)的商務(wù)信息管理知識(shí)來(lái)分析和思考社會(huì)實(shí)踐過(guò)程中發(fā)生的事情;(2)總結(jié)社會(huì)實(shí)踐中的經(jīng)驗(yàn)與教訓(xùn),并將這些經(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(jiàn)《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

商務(wù)信息管理專業(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。

八、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(guò)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(jiàn)《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(jiàn)《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(kāi)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)英語(yǔ)口語(yǔ)與寫作


2


36

2

國(guó)際商務(wù)外語(yǔ)學(xué)院

商務(wù)信息管理前沿(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

管理學(xué)研究方法

2



36

2

工商管理學(xué)院

運(yùn)籌學(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

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

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

機(jī)器學(xué)習(xí)


3


54

3

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

管理決策理論與方法


3


54

3

統(tǒng)計(jì)與信息學(xué)院

選修課

專業(yè)選修

算法導(dǎo)論


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

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

時(shí)間序列分析


2


36

2

統(tǒng)計(jì)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(jì)與信息學(xué)院

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

算法設(shè)計(jì)與實(shí)踐


2


36

2

統(tǒng)計(jì)與信息學(xué)院

ERP理論與實(shí)踐


2


36

2

統(tǒng)計(jì)與信息學(xué)院

文本挖掘技術(shù)


2


36

2

統(tǒng)計(jì)與信息學(xué)院

社會(huì)網(wǎng)絡(luò)分析與計(jì)算方法


2


36

2

國(guó)際經(jīng)貿(mào)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(jì)與信息學(xué)院

計(jì)算機(jī)視覺(jué)


2


36

2

統(tǒng)計(jì)與信息學(xué)院

商務(wù)大數(shù)據(jù)案例分析


2


36

2

統(tǒng)計(jì)與信息學(xué)院

Android移動(dòng)應(yīng)用開(kāi)發(fā)


2


36

2

統(tǒng)計(jì)與信息學(xué)院

跨專業(yè)


可拓學(xué)專題


2


36

2

統(tǒng)計(jì)與信息學(xué)院

統(tǒng)計(jì)軟件(R語(yǔ)言)



2

36

2

統(tǒng)計(jì)與信息學(xué)院

心理與行為研究方法



2

36

2

工商管理學(xué)院

新媒體運(yùn)營(yíng)管理專題研究



2

36

2

工商管理學(xué)院

金融計(jì)量學(xué)


3


54

3

金融管理學(xué)院

電子商務(wù)



2

36

2

國(guó)際經(jīng)貿(mào)學(xué)院

創(chuàng)業(yè)管理



2

36

2

工商管理學(xué)院

國(guó)際金融研究



2

36

2

金融管理學(xué)院

合同法



2

36

2

法學(xué)院

管理博弈論


2


36

2

工商管理學(xué)院

名師講座

8

2

統(tǒng)計(jì)與信息學(xué)院

社會(huì)實(shí)踐


1

統(tǒng)計(jì)與信息學(xué)院

MasterProgram in Business Information Management

for2022


Field:Management

Discipline:Business Administration

SchoolOffering the Program: School of Statistics and Information

I.Objectives

Thismajor aims to cultivate high-level composite talents with bothability and political integrity, have the feelings of home andcountry and international vision, have good political quality andprofessional ethics, have the theoretical foundation of modernmanagement and economics, master the knowledge of system theory,information management, data analysis, etc., have high informationtechnology application ability, have strong innovation and practicalability, and can apply modern information technology to engage inbusiness management activities.

.Duration of the Program

Theduration of this major is 2.5 years. Those who have completed thecourse within the prescribed period but have not completed thedissertation may apply for an extension of the study period, and thecumulative maximum study period shall not exceed 4.5 years.

.Research Areas

  1. Business Data Mining

  2. Intelligent Information System

  3. Network Information Management

.Courses and Credits

Allstudents must earn 38 credits, including 7 “common required course”credits, 20 “required course” credits, 6 “major optionalcourse” credits, 2 “cross-specialty optional course” credits),2 “l(fā)ecture course” credits and 1 “social practices” credit.In addition, master candidates in this program must pass CollegeEnglish Test (CET) 6 or an equivalent test of English languageproficiency to fulfil the requirement for graduation. Specific coursestructure can be found in the appendix.

.Social Practice

Accordingto the program plan, students who are going to be researchers arerequired to have a good knowledge of courses, such as AdvancedDatabase Technology, Methods in Management Research, OperationalResearch, Data Mining, Electronic Commerce and ERP Theory andPractice. They are also required to apply the learned knowledge inscientific research.

Forstudents who are going to be practical personnel, they are requiredto take part in social practice. Through social practice, we canequip students with practical abilities to analyze and solve problemsby using the basic knowledge and skills they learned in this program.Hence, we can enhance the social adaptability and employmentcompetitiveness. Social practice is to be assessed by the following:1) Analyze and consider the events occurring in the course of socialpractice by knowledge of business information management learned inclassroom. 2) Sum up the experiences and lessons in social practicefor case studies. 3) Command the basic knowledge and skill of theinternship and the relevant industry. 4) Summarize the managementknowledge and skills of the relevant industry. The outcome of socialpractice is a report covering the above points.

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

Thecourses of the business information management major are carried outin the form of lectures, discussions and special studies, and thetutor responsibility system is implemented for the training ofmaster's degree 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

2



36

2

School of Marxism

Research on Marxism and Methodology of Social Science

1



18

1

School of Marxism

Advanced Speaking and Writing


2


36

2

School of Languages

Frontiers in Business Information Management


2


36

2

School of Statistics and Information

Required Courses

Academic Standards and Paper Writing


1


18

1

School of Statistics and Information

Method of Management Research

2



36

2

School of Management

Operational Research

3



54

3

School of Statistics and Information

Advanced Programming

2



36

2

School of Statistics and Information

Data Analysis and Statistical Modeling

2



36

2

School of Statistics and Information

Advanced Database Technology


2


36

2

School of Statistics and Information

Machine Learning


3


54

3

School of Statistics and Information

Neural Network and Deep Learning



2

36

2

School of Statistics and Information

Management Decision Theory and Method 


3


54

3

School of Statistics and Information

Optional Courses

Major Optional Courses

Algorithms Introduction


2


36

2

School of Statistics and Information

The Design and Practice of Algorithm


2


36

2

School of Statistics and Information

Complex System and Networks



2

36

2

School of Statistics and Information

Advanced Econometrics

3



54

3

School of Statistics and Information

Time Series Analysis


2


36

2

School of Statistics and Information

Data Science Technology and Application

2



36

2

School of Statistics and Information

Optimization Method and Data Analysis Practice

2



36

2

School of Statistics and Information

ERP Theory and Practice


2


36

2

School of Statistics and Information

Text Mining Technology


2


36

2

School of Statistics and Information

Social Network Analysis and Calculation Methods


2


36

2

School of Business

Internet Leading Technology Innovative Applications


2


36

2

School of Statistics and Information

Computer Vision


2


36

2

School of Statistics and Information

Business Big Data Case Analysis


2


36

2

School of Statistics and Information

Android Mobile Application Development


2


36

2

School of Statistics and Information

Cross Specialty Courses

Specific Lectures of Extenics


2


36

2

School of Statistics and Information

Statistical Software (R)



2

36

2

School of Statistics and Information

Empirical Methods in Psychology and Behavior Research



2

36

2

School of Management

New Media Operations Management



2

36

2

School of Management

Financial Econometrics


3


54

3

School of Finance

Electronic Commerce



2

36

2

School of Business

Entrepreneurial Management



2

36

2

School of Management

Research in International Finance



2

36

2

School of Finance

Contract Law



2

36

2

School of Law

Game Theory of Management


2


36

2

School of Management

Lectures

8 times

2

School of Statistics and Information

Social Practice


1

School of Statistics and Information



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