所屬學科門類:管理學
所屬一級學科:工商管理
所屬院系:統(tǒng)計與信息學院
一、培養(yǎng)目標
本專業(yè)旨在培養(yǎng)德才兼?zhèn)?,具有家國情懷和國際視野,具備良好政治素質與職業(yè)道德,具有現代管理學、經濟學理論基礎,掌握系統(tǒng)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(chuàng)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(yè)學制為2.5年。在規(guī)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,累計最長學習年限不超過4.5年。
三、研究方向
1.商務數據挖掘
2.智能信息系統(tǒng)
3.網絡信息管理
四、課程設置與學分要求
本專業(yè)碩士研究生在攻讀碩士學位期間應修滿38學分,其中包括公共課7學分,學位基礎課20學分,專業(yè)選修課6學分,跨專業(yè)選修課2學分,名師講座2學分,社會實踐1學分。此外,本專業(yè)碩士研究生必須通過國家英語六級考試,或者經相同水平的英語測試,達到合格要求。具體課程安排和學分見附表。
五、社會實踐
根據本專業(yè)的培養(yǎng)方案,對于商務信息管理高級研究人才的培養(yǎng),要求掌握高級數據庫技術、管理學研究方法、運籌學、機器學習等學位基礎課,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(yǎng),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(yǎng)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(yè)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(fā)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(yè)的基本知識與基本技能;(4)總結有關行業(yè)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。
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、科研能力
為了提高研究生學術科研能力,發(fā)揮研究生導師的指導作用,研究生在校期間必須在導師的指導下,從事科學研究,提高學術素養(yǎng)。
七、培養(yǎng)方式
商務信息管理專業(yè)的課程均采取講授、討論和專題研究的方式進行,對碩士研究生的培養(yǎng)實行導師負責制。
八、學位論文
研究生必須按規(guī)定時間完成學位論文撰寫,經導師同意推薦答辯并通過校、院組織的論文盲審和答辯,論文質量達到所申請學位的合格要求。具體要求見《上海對外經貿大學碩士學位管理辦法實施細則》。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(2020年修訂)》。
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 | ||
商務信息管理前沿(英) |
| 2 |
| 36 | 2 | 統(tǒng)計與信息學院 | ||
學 位 基 礎 課 | 學術規(guī)范與論文寫作 |
| 1 |
| 18 | 1 | 統(tǒng)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(tǒng)計與信息學院 | ||
高級程序設計 | 2 |
|
| 36 | 2 | 統(tǒng)計與信息學院 | ||
數據分析與統(tǒng)計建模 | 2 |
|
| 36 | 2 | 統(tǒng)計與信息學院 | ||
高級數據庫技術 |
| 2 |
| 36 | 2 | 統(tǒng)計與信息學院 | ||
機器學習 |
| 3 |
| 54 | 3 | 統(tǒng)計與信息學院 | ||
神經網絡與深度學習 |
|
| 2 | 36 | 2 | 統(tǒng)計與信息學院 | ||
管理決策理論與方法 |
| 3 |
| 54 | 3 | 統(tǒng)計與信息學院 | ||
選修課 | 專業(yè)選修 | 算法導論 |
| 2 |
| 36 | 2 | 統(tǒng)計與信息學院 |
復雜系統(tǒng)與復雜網絡 |
|
| 2 | 36 | 2 | 統(tǒng)計與信息學院 | ||
高級計量經濟學 | 3 |
|
| 54 | 3 | 統(tǒng)計與信息學院 | ||
時間序列分析 |
| 2 |
| 36 | 2 | 統(tǒng)計與信息學院 | ||
數據科學技術與應用 | 2 |
|
| 36 | 2 | 統(tǒng)計與信息學院 | ||
優(yōu)化方法與數據分析實踐 | 2 |
|
| 36 | 2 | 統(tǒng)計與信息學院 | ||
算法設計與實踐 |
| 2 |
| 36 | 2 | 統(tǒng)計與信息學院 | ||
ERP理論與實踐 |
| 2 |
| 36 | 2 | 統(tǒng)計與信息學院 | ||
文本挖掘技術 |
| 2 |
| 36 | 2 | 統(tǒng)計與信息學院 | ||
社會網絡分析與計算方法 |
| 2 |
| 36 | 2 | 國際經貿學院 | ||
互聯網前沿技術創(chuàng)新應用案例 |
| 2 |
| 36 | 2 | 統(tǒng)計與信息學院 | ||
計算機視覺 |
| 2 |
| 36 | 2 | 統(tǒng)計與信息學院 | ||
商務大數據案例分析 |
| 2 |
| 36 | 2 | 統(tǒng)計與信息學院 | ||
Android移動應用開發(fā) |
| 2 |
| 36 | 2 | 統(tǒng)計與信息學院 | ||
跨專業(yè)
| 可拓學專題 |
| 2 |
| 36 | 2 | 統(tǒng)計與信息學院 | |
統(tǒng)計軟件(R語言) |
|
| 2 | 36 | 2 | 統(tǒng)計與信息學院 | ||
心理與行為研究方法 |
|
| 2 | 36 | 2 | 工商管理學院 | ||
新媒體運營管理專題研究 |
|
| 2 | 36 | 2 | 工商管理學院 | ||
金融計量學 |
| 3 |
| 54 | 3 | 金融管理學院 | ||
電子商務 |
|
| 2 | 36 | 2 | 國際經貿學院 | ||
創(chuàng)業(yè)管理 |
|
| 2 | 36 | 2 | 工商管理學院 | ||
國際金融研究 |
|
| 2 | 36 | 2 | 金融管理學院 | ||
合同法 |
|
| 2 | 36 | 2 | 法學院 | ||
管理博弈論 |
| 2 |
| 36 | 2 | 工商管理學院 | ||
名師講座 | 8次 | 2 | 統(tǒng)計與信息學院 | |||||
社會實踐 |
| 1 | 統(tǒng)計與信息學院 |
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.
Ⅱ.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.
Ⅲ.Research Areas
Business Data Mining
Intelligent Information System
Network Information Management
Ⅳ.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.
Ⅴ.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 |