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2020級商務信息管理碩士研究生培養方案


 

所屬學科門類:管理學

所屬一級學科:工商管理

所屬院系:統計與信息學院

一、培養目標

按照國家關于研究生培養的總體要求,培養具有現代管理學、經濟學理論基礎,掌握系統理論、信息管理、數據分析等知識,具有較高的信息技術應用能力,有較強的創新和實踐能力,能夠應用現代信息技術從事商務管理活動的高級復合型人才。

 

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,累計最長年限不超過4.5

 

三、研究方向

1. 商務數據挖掘

2. 智能信息系統

3. 網絡信息管理

 

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34學分,其中包括公共必修課7學分,學位基礎課16學分,選修課8學分(其中跨專業選修課最少必須選擇2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、社會實踐及科研能力的培養

根據本專業的培養方案,對于商務信息管理高級研究人才的培養,要求掌握高級數據庫技術、管理學研究方法、運籌學、數據挖掘、電子商務、ERP理論與實踐等學位基礎課,掌握這些課程在科學研究中的應用能力。

對于商務信息管理應用型人才的培養,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。社會實踐內容的考核辦法主要包括以下幾個方面:(1)運用課堂學過的商務信息管理知識來分析和思考社會實踐過程中發生的事情;(2)總結社會實踐中的經驗與教訓,并將這些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。

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,并在學術期刊上以第一作者身份或第二作者身份(導師為第一作者)公開發表學術論文一篇及以上,此為研究生學位申請的必要條件之一。

 

六、培養方式與成績考核

商務信息管理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。

 

七、學位論文

碩士研究生的學位論文開題報告應在第四學期初完成,由本學科碩士生指導小組組織進行。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(2013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(學位課)

 

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

外語學院

商務信息管理前沿(英)

 

2

 

36

2

統計與信息學院

學位基礎課

高級數據庫技術

 

3

 

54

3

統計與信息學院

管理學研究方法

2

 

 

36

2

工商管理學院

運籌學

3

 

 

54

3

統計與信息學院

數據挖掘

 

3

 

54

3

統計與信息學院

高級程序設計

3

 

 

54

3

統計與信息學院

ERP理論與實踐

2

 

 

36

2

統計與信息學院

選修課

理論型

面向對象系統方法

 

2

 

36

2

統計與信息學院

算法導論

 

2

 

36

2

統計與信息學院

機器學習

 

 

2

36

2

統計與信息學院

應用型

電子商務

 

 

2

36

2

經貿學院

文本挖掘技術

 

2

 

36

2

統計與信息學院

統計軟件(R語言)

 

 

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

(最少必須選修2學分)

 

高級微觀經濟學II

 

2

 

36

3

經貿學院

國際物流與供應鏈管理

 

 

2

36

2

經貿學院

國際貿易實務

 

2

 

36

2

經貿學院

資本運營專題

 

2

 

36

2

工商管理學院

運營管理專題

 

 

2

36

2

工商管理學院

國際金融研究

 

 

2

36

2

金融學院

金融風險管理

 

 

2

36

2

金融學院

數理金融

 

 

2

36

2

統計與信息學院

合同法

 

 

2

36

2

法學院

時間序列分析

 

2

 

36

2

統計與信息學院

名師講座

8

36

2

統計與信息學院

社會實踐

 

1

統計與信息學院


Master in           Business Information Management 2020

 

Field: Management

Discipline: Business Administration

School: School of Statistics and Information

 

I. 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.

 

. 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.

 

. Field of Research

1. Business Data Mining

2. Intelligent Information System

3. Network Information Management

 

. Courses and credits

All students must earn 34 credits, including 7 “common required course” credits, 16 ”required course” credits, 8 “optional course” credits (including 2 or more “cross-specialty optional course” credits), 2 “lecture course” credits and 1 “social practices” credit. Specific course structure can be found in the appendix.

 

. 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 Research, Data 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 classroom. 2) Sum up the expeiences 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. Degree Thesis

The proposal for degree thesis 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

 Required Courses

Socialist Theory and Practice with Chinese Characteristics (Degree Course)

 

2

 

36

2

Department of Social Science

Research on Marxism and Methodology of Social Science

1

 

 

18

1

Department of Social Science

Advanced Speaking and Writing

2

 

 

36

2

School of Languages

Frontiers in Business Information Management

 

2

 

36

2

School of Statistics and Information

Core Courses

Advanced Database Technology

 

3

 

54

3

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

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

Elective

Courses

Theoretical

Courses

Method of Object-Oriented System

 

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

Linguistic

Courses

Electronic Commerce

 

 

2

36

2

School of Business

Text Mining Techonolgy

 

2

 

36

2

School of Statistics and Information

Statistical Software (R)

 

 

2

36

2

School of Statistics and Information

Complex System and Networks

 

 

2

36

2

School of Statistics and Information

 

 

 

 

 

 

 

Interdisciplinary Courses

(  Students are required to take at least one interdisciplinary course for 2 credits.)

Advanced Micro Economics(II)

 

2

 

36

3

School of Business

International Logistics and Supply Chain Management

 

 

2

36

2

School of Business

Practice of Import and Export

 

2

 

36

2

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

2

School of Statistics and Information

Social Practice

 

 

 

 

1

School of Statistics and Information

 


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