所屬學科門類:經濟學
所屬一級學科:應用經濟學
所屬院系:統計與信息學院
一、培養目標
本專業旨在培養具有扎實的數學與統計理論基礎,精通現代定量分析方法與技術,具有使用現代統計學方法和工具獨立完成對外經貿、金融、商務領域數據分析的高層次、高素質的專門人才。畢業生既能在政府部門、金融機構和各類企事業單位從事宏觀經濟與微觀經濟數字管理、數量分析等工作,又能從事創新性科學研究工作或自主創業。
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,最長年限不得超過4.5年。
三、研究方向
1、對外經貿統計
2、金融統計
3、統計與計量方法
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36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10學分(其中理論型模塊、應用型模塊選修課各最少必須選擇4學分,允許學生跨模塊選修更多學分,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,對于統計學高級研究人才的培養,要求掌握概率論、統計推斷、統計編程等基礎課和專業課,掌握這些課程在科學研究中的應用能力。
對于統計學人才的培養,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,培養學生的發現問題、分析問題和解決問題的實踐能力,增強綜合運用統計知識和技能的能力,增強學生就業競爭力和適應社會領導能力。社會實踐內容的考核辦法主要包括以下幾個方面:(1)運用統計學知識來思考和分析社會實踐問題;(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)掌握與實習單位所屬行業的知識與技能;(4)拓展相關行業的知識與技能。圍繞上述內容寫一篇社會實踐報告,作為社會實踐成果評價的基本依據。
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,從事經濟統計科學研究,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
統計學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 | 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(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 | |||||
統計軟件(英) | 2 |
|
| 36 | 2 | 統信學院 | |||||
學位基礎課 | 高級微觀經濟學(I) | 3 |
|
| 54 | 3 | 經貿學院 | ||||
高級宏觀經濟學(I) | 3 |
|
| 54 | 3 | 經貿學院 | |||||
高等統計學 | 3 |
|
| 54 | 3 | 統信學院 | |||||
高級計量經濟學 | 3 |
|
| 54 | 3 | 統信學院 | |||||
線性模型理論 |
| 2 |
| 36 | 2 | 統信學院 | |||||
統計計算 |
| 2 |
| 36 | 2 | 統信學院 | |||||
選 修 課理論型模塊、應用型模塊選修課各最少必須選擇4學分,允許學生跨模塊選修,跨專業選修課最少必須選擇2學分 | 理論型 (5選2)
| 多元統計分析 |
| 2 |
| 36 | 2 | 統信學院 | |||
隨機過程 |
| 2 |
| 36 | 2 | 統信學院 | |||||
時間序列分析 |
| 2 |
| 36 | 2 | 統信學院 | |||||
數據挖掘 |
|
| 2 | 36 | 2 | 統信學院 | |||||
抽樣理論與應用 |
|
| 2 | 36 | 2 | 統信學院 | |||||
應用型(模塊I:貿易統計) | 國民經濟核算理論與方法 |
| 2 |
| 36 | 2 | 統信學院 | ||||
國際貿易 |
| 2 |
| 36 | 2 | 經貿學院 | |||||
貿易統計 |
| 2 | 36 | 2 | 統信學院 | ||||||
國際貿易實證方法 |
| 2 |
| 36 | 2 | 統信學院 | |||||
國際收支統計 |
| 2 |
| 36 | 2 | 統信學院 | |||||
經濟指數理論與應用研究 |
|
| 2 | 36 | 2 | 統信學院 | |||||
應用型(模塊II:金融統計) | 金融時間序列 |
| 2 |
| 36 | 2 | 統信學院 | ||||
金融統計 |
| 2 |
| 36 | 2 | 統信學院 | |||||
精算模型 |
|
| 2 | 36 | 2 | 統信學院 | |||||
金融經濟學 |
|
| 2 | 36 | 2 | 統信學院 | |||||
風險管理 |
|
| 2 | 36 | 2 | 統信學院 | |||||
應用型(模塊III:統計與計量方法研究) | 可靠性分析 |
| 2 |
| 36 | 2 | 統信學院 | ||||
生存分析 |
| 2 |
| 36 | 2 | 統信學院 | |||||
商業數據庫管理 |
| 2 |
| 36 | 2 | 統信學院 | |||||
空間統計學 |
| 2 |
| 36 | 2 | 統信學院 | |||||
商業數據處理 |
|
| 2 | 36 | 2 | 統信學院 | |||||
統計軟件SAS |
| 2 |
| 36 | 2 | 統信學院 | |||||
貝葉斯統計 |
| 2 |
| 36 | 2 | 統信學院 | |||||
數量經濟學方法研究 |
| 2 |
| 36 | 2 | 統信學院 | |||||
非參數統計 |
|
| 2 | 36 | 2 | 統信學院 | |||||
廣義線性與混合效應模型(英) |
|
| 2 | 36 | 2 | 統信學院 | |||||
復雜數據分析 |
|
| 2 | 36 | 2 | 統信學院 | |||||
試驗設計與建模 |
|
| 2 | 36 | 2 | 統信學院 | |||||
運籌學 |
|
| 2 | 36 | 2 | 統信學院 | |||||
跨專業(最少必須選修2學分) | 金融工程研究 |
| 2 |
| 36 | 2 | 金融學院 | ||||
高級微觀經濟學(II) |
| 2 |
| 36 | 2 | 經貿學院 | |||||
區域經濟學 |
| 2 |
| 36 | 2 | 經貿學院 | |||||
高級宏觀經濟學(II) |
| 2 |
| 36 | 3 | 經貿學院 | |||||
創業管理專題 |
|
| 2 | 36 | 2 | 管理學院 | |||||
Python程序設計 |
| 3 |
| 54 | 3 | 統信學院 | |||||
固定收益證券研究 |
|
| 2 | 36 | 2 | 金融學院 | |||||
投資學 |
|
| 2 | 36 | 2 | 金融學院 | |||||
國際金融研究 |
|
| 2 | 36 | 2 | 金融學院 | |||||
電子商務 |
|
| 2 | 36 | 2 | 經貿學院 | |||||
名師講座 | 8次 | 2 | 統信學院 | ||||||||
社會實踐 |
|
|
|
| 1 | 統信學院 | |||||
Master Program in Statistics 2019
Academic Field: Economics
Primary Discipline: Applied Economics
School offering the program: School of Statistics and Information
I. Program Objectives
This program aims to qualify students as professional statisticians needed in senior economic management. Students are expected to have solid theoretical foundation in mathematics and statistics, and to master the modern methods and techniques in data analysis. They will able to solve practical problems in economics, finance and business management using statistical methodology. They will have strong skills in data processing and computer programming. Graduates can be expect to work in government departments, financial institutions and all kinds of enterprises and institutions and to be engaged in macroeconomic and microeconomic information management, quantity analysis, etc, and work in the creative scientific research or start their own business.
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. Financial Statistics
2Trade Statistics
3. Statistical and Econometrical Methods
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 “lecture course” credits and 1“social 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 probability theory, statistical inference, statistical methods and statistical programming. 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 statistics 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 | School of Marxism | |||||||
Research on Marxism and Methodology of Social Science | 1 |
|
| 18 | 1 | School of Marxism | ||||||||
Advanced Speaking & Writing | 2 |
|
| 36 | 2 | School of Languages | ||||||||
R Langueage and Statistical Software | 2 |
|
| 36 | 2 | School of Statistics and Information | ||||||||
Required Courses | Advanced Micro Economics(I) | 3 |
|
| 54 | 3 | School of Business | |||||||
Advanced Macro Economics(I) | 3 |
|
| 54 | 3 | School of Business | ||||||||
Advanced Statistics | 3 |
|
| 54 | 3 | School of Statistics and Information | ||||||||
Linear Model |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Statistical Computing |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Advanced Econometrics | 3 |
|
| 54 | 3 | School of Statistics and Information | ||||||||
Optional Courses | Theoretical (At least 3 in 5) | Multivariate Statistics |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||
Stochastic Process |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Time Series Analysis |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Data Mining |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Sampling Theory |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Module I
Trade Statistics | National Accounting |
| 2 |
| 36 | 2 | School of Statistics and Information | |||||||
International Trade |
| ,2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Trade Statistics |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Economic Index |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Module II Financial Statistics | Time Series Analysis in Finance |
| 2 |
| 36 | 2 | School of Statistics and Information | |||||||
Financial Statistics |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Actuarial Model |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Financial Economics |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Risk Management |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Module III Statistical and Econometric Methods | Reliability Analysis |
| 2 |
| 36 | 2 | School of Statistics and Information | |||||||
Survival Analysis |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Business Database Management |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Spatial Statistics |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Statistical Software(SAS) |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Bayesian Statistics |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Methods in Mathematical Economics Research |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Experimental Design and Modeling |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Nonparametric Statistics |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Generalized Linear Models and Mixed-Effects Models |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Analysis of Complex Data |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Operational Research |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Research in Financial Engineering |
| 2 |
| 36 | 2 | School of Finance | ||||||||
Advanced Micro Economics (II) |
| 2 |
| 36 | 2 | School of Business | ||||||||
Advanced Macro Economics (II) |
| 2 |
| 36 | 3 | School of Business | ||||||||
Topics in Regional Economics |
|
|
| 2 | 36 | School of Business | ||||||||
Python Programming |
| 3 |
| 54 | 3 | School of Statistics and Information | ||||||||
Entrepreneurial Management |
|
| 2 | 36 | 2 | School of Management | ||||||||
Fixed income securities Research |
|
| 2 | 36 | 3 | School of Finance | ||||||||
Investment |
|
| 2 | 36 | 3 | School of Finance | ||||||||
Research in International Finance |
|
| 2 | 36 | 3 | School of Finance | ||||||||
Electronic Commerce |
|
| 2 | 36 | 2 | School of Business | ||||||||
| Students are required to take at least one cross-specialty course for 2 credits. | |||||||||||||
Lectures | eight times |
| 2 | School of Statistics and Information | ||||||||||
Social Practice |
|
|
|
| 1 | School of Statistics and Information | ||||||||