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2019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(mén)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)

按照國(guó)家關(guān)于研究生培養(yǎng)的總體要求,培養(yǎng)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)延長(zhǎng)學(xué)習(xí)年限一般不超過(guò)一年。

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40學(xué)分,其中包括公共必修課7學(xué)分,學(xué)位基礎(chǔ)課16學(xué)分,選修課14學(xué)分(其中跨專業(yè)選修課最少必須選擇2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(jiàn)附表

五、社會(huì)實(shí)踐及科研能力的培養(yǎng)

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)、數(shù)據(jù)挖掘、電子商務(wù)ERP理論與實(shí)踐學(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(xiě)一篇社會(huì)實(shí)踐報(bào)告。

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,并得到導(dǎo)師的認(rèn)可。

六、培養(yǎng)方式與成績(jī)考核

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。

七、學(xué)位論文

碩士研究生的學(xué)位論文開(kāi)題報(bào)告應(yīng)在第四學(xué)期初完成,由本學(xué)科碩士生指導(dǎo)小組組織進(jìn)行。學(xué)位論文的寫(xiě)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2013年修訂)

 

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(shí)

學(xué)分

開(kāi)課部門(mén)

公共課

中國(guó)特色社會(huì)主義理論與實(shí)踐研究(學(xué)位課)

2

 

 

36

2

人文社科部

馬克思主義與社會(huì)科學(xué)方法論研究

1

 

 

18

1

人文社科部

高級(jí)英語(yǔ)口語(yǔ)與寫(xiě)作

2

 

 

36

2

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

高級(jí)數(shù)據(jù)庫(kù)技術(shù)

 

3

 

54

3

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

數(shù)據(jù)挖掘

 

3

 

54

3

統(tǒng)計(jì)與信息學(xué)院

高級(jí)程序設(shè)計(jì)

3

 

 

54

3

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

 

 

 

理論型

面向?qū)ο笙到y(tǒng)方法

 

2

 

36

2

統(tǒng)計(jì)與信息學(xué)院

信息安全

 

2

 

36

2

統(tǒng)計(jì)與信息學(xué)院

算法導(dǎo)論

 

2

 

36

2

統(tǒng)計(jì)與信息學(xué)院

機(jī)器學(xué)習(xí)

 

 

2

36

2

統(tǒng)計(jì)與信息學(xué)院

 

 

 

 

 

 

 

應(yīng)用型

電子商務(wù)

 

 

2

36

2

經(jīng)貿(mào)學(xué)院

文本挖掘技術(shù)

 

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

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

 

 

 

 

 

 

 

跨專業(yè)

(最少必須選修2學(xué)分)

高級(jí)微觀經(jīng)濟(jì)學(xué)II

 

3

 

54

3

經(jīng)貿(mào)學(xué)院

國(guó)際物流與供應(yīng)鏈管理

 

 

2

36

2

經(jīng)貿(mào)學(xué)院

國(guó)際貿(mào)易實(shí)務(wù)

 

3

 

54

3

經(jīng)貿(mào)學(xué)院

資本運(yùn)營(yíng)專題

 

2

 

36

2

工商管理學(xué)院

運(yùn)營(yíng)管理專題

 

 

2

36

2

工商管理學(xué)院

國(guó)際金融研究

 

 

2

36

2

金融學(xué)院

金融風(fēng)險(xiǎn)管理

 

 

2

36

2

金融學(xué)院

數(shù)理金融

 

 

2

36

2

統(tǒng)計(jì)與信息學(xué)院

合同法

 

 

2

36

2

法學(xué)院

時(shí)間序列分析

 

2

 

36

2

統(tǒng)計(jì)與信息學(xué)院

名師講座

8次

36

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

 

 

 

 

 

 

 

Master Program in Business Information Management 2019

 

Academic Field: Management

Primary Discipline: Business Administration

School offering the program: School of Statistics and Information

 

I. Program Objectives

This program aims to qualify students as professionals needed in senior business information management. Students are expected to have solid theoretical foundation in modern economics and management, and to master the basic methods in information management. They will be able to solve practical problems in economics and management using the combination of System Theory and Information Management. They will have strong skills in data processing, analyzing and computer applications.

II. Duration of the Program

The normal duration of the program is two years and a half. Students who have successfully completed the coursework within the required time can apply for an extension of half a year, if they have not completed their dissertation. But generally, the total amount of time obtained by extensions cannot exceed one year.

III. Field of Research

1. Business Data Mining

2. Intelligent Information System

3. Network Information Management

IV. Courses and Credits

All students must earn 40 credits, including 7 “common required course” credits, 16 “required course” credits, 14 “optional course” credits (including 2 or more cross-specialty optional course” credits)  2 “l(fā)ecture course” credits and 1social practice” credit. Specific course structure can be found in the appendix.

V. Occupational Apprenticeship and Academic Training

According to the program plan, students who are going to be researchers are required to have a good knowledge of courses, such as Advanced Database Technology, Methods in Management Research, Operational ResearchData Mining, Electronic Commerce and ERP Theory and Practice. They are also required to apply the learned knowledge in scientific research.

For students who are going to be practical personnel, they are required to take part in social practice. Through social practice, we can equip students with practical abilities to analyze and solve problems by using the basic knowledge and skills they learned in this program. Hence, we can enhance the social adaptability and employment competitiveness. Social practice is to be assessed by the following: 1) Analyze and consider the events occurring in the course of social practice by knowledge of business information management learned in classrooms. 2) Sum up the experiences and lessons in social practice for case studies. 3) Command the basic knowledge and skill of the internship and the relevant industry. 4) Summarize the management knowledge and skills of the relevant industry.

The outcome of social practice is a report covering the above points.

To enhance postgraduate students' academic and scientific capability, the postgraduate student during his or her school period is required to undertake scientific research under his or her supervisor’s instruction and gain the supervisor's approval.

VI. Education Modes and Performance Assessment

All the courses will take the forms of intensive lectures, discussions and study in special topics. Master supervisors are responsible for the cultivation of their master students.

VII. Dissertation

The proposal for dissertation should be completed at the beginning of the 4th semester, with the guidance by members of a panel. Please refer to “Layout Requirements for Graduates of Shanghai University of International Business and Economics (revised edition 2013)” for details.


Attached Table

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

Department of Social Sciences

Research on Marxism and Methodology of Social Science

1

 

 

18

1

Department of Social Sciences

Advanced Speaking & Writing

2

 

 

36

2

School of Languages

Frontiers in  Business Information Management

 

2

 

36

2

School of Statistics and Information

Required Courses

Advanced Database Technology

3

 

 

54

3

School of Statistics and Information

Methods in Management Research

2

 

 

36

2

School of Management

Operational Research

3

 

 

54

3

School of Statistics and Information

Data Mining

 

3

 

54

3

School of Statistics and Information

 Advanced Programming

3

 

 

54

3

 School of Statistics and Information

ERP Theory and Practice

2

 

 

36

2

School of Statistics and Information

Optional

Courses

Theoretical

Method of Object-Oriented System

 

2

 

36

2

School of Statistics and Information

Information Security

 

2

 

36

2

School of Statistics and Information

Introduction to Algorithms

 

2

 

36

2

School of Statistics and Information

Machine Learning

 

 

2

36

2

School of Statistics and Information

 

 

 

 

 

 

 

Applied

Electronic Commerce

 

 

2

36

2

School of Business

Text Mining Technology

 

2

 

36

2

School of Statistics and Information

Statistical Software (R)

 

 

2

36

2

School of Statistics and Information

 Complex Systems and Networks

 

 

2

36

2

School of Statistics and Information

 

 

 

 

 

 

 

Cross-specialty( Students are required to take at least one cross-specialty course for 2 credits)

Advanced Micro Economics II

 

3

 

54

3

School of Business

International Logistics and Supply Chain Management

 

 

2

36

2

School of Business

Practice of Import and Export

 

3

 

54

3

School of Business

Monographic Study on Capital Operation

 

2

 

36

2

School of Management

Monographic Study on Operation Management

 

 

2

36

2

School of Management

Research in International Finance

 

 

2

36

2

School of Finance

Financial Risk Management

 

 

2

36

2

School of Finance

Mathematical Finance

 

 

2

36

2

School of Statistics and Information

Contract Law

 

 

2

36

2

School of Law

Time Series Analysis

 

2

 

36

2

School of Statistics and Information

Lectures

8 times

36

2

School of Statistics and Information

Social Practice

 

 

 

 

1

School of Statistics and Information

 

 


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