所屬學科門類:理學
所屬一級學科:統計學
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良好政治素質與道德修養,擁有堅實的統計學、數學、經濟學理論基礎,掌握現代統計分析方法和相關計算機技術,在貿易、金融與商務等領域,熟練地運用現代統計、計量分析和大數據分析與挖掘等方法解決經濟系統中相關問題的復合型與開放型專業人才。
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,累計最長年限不得超過4.5年。
三、研究方向
1、數理統計學
2、社會經濟統計學
3、金融統計、風險管理與精算學
4、數據科學與統計計算
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40學分,其中包括公共必修課7學分,學位基礎課20學分,選修課10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,并具備將所學知識應用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。社會實踐的考核方式主要包括以下幾個方面:(1)運用統計學知識分析和思考社會實踐過程中發生的事情;(2)將社會實踐中的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。
為了提高研究生科研能力,發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
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 | 高等統計學 | 3 |
|
| 54 | 3 | 統信學院 | |
高等概率論 | 3 |
|
| 54 | 3 | 統信學院 | ||
高級程序設計 | 3 |
|
| 54 | 3 | 統信學院 | ||
線性模型理論 |
| 2 |
| 36 | 2 | 統信學院 | ||
多元統計分析 |
| 2 |
| 36 | 2 | 統信學院 | ||
時間序列分析 |
| 2 |
| 36 | 2 | 統信學院 | ||
統計學習 |
| 3 |
| 54 | 3 | 統信學院 | ||
非參數統計 |
|
| 2 | 36 | 2 | 統信學院 | ||
選修 課 | 理論型 | 貝葉斯統計 |
| 2 |
| 36 | 2 | 統信學院 |
統計計算 |
| 2 |
| 36 | 2 | 統信學院 | ||
金融數學 |
| 2 |
| 36 | 2 | 統信學院 | ||
壽險精算數學(英) |
|
| 2 | 36 | 2 | 統信學院 | ||
精算模型 |
|
| 2 | 36 | 2 | 統信學院 | ||
試驗設計與建模 |
|
| 2 | 36 | 2 | 統信學院 | ||
抽樣理論與應用 |
|
| 2 | 36 | 2 | 統信學院 | ||
應用型 | 生存分析 |
| 2 |
| 36 | 2 | 統信學院 | |
空間統計學 |
| 2 |
| 36 | 2 | 統信學院 | ||
數據挖掘 |
| 3 |
| 54 | 3 | 統信學院 | ||
高級數據庫技術 |
| 3 |
| 54 | 3 | 統信學院 | ||
算法導論 |
| 2 |
| 36 | 2 | 統信學院 | ||
統計軟件SAS |
| 2 |
| 36 | 2 | 統信學院 | ||
風險管理 |
|
| 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 | ||
跨專業(最少必須選修2學分) | 國際物流與供應鏈管理 |
|
| 2 | 36 | 2 | 經貿學院 | |
電子商務 |
|
| 2 | 36 | 2 | 經貿學院 | ||
市場營銷專題 |
| 2 |
| 36 | 2 | 工商管理學院 | ||
消費者行為專題 |
| 2 |
| 36 | 2 | 工商管理學院 | ||
金融計量學 |
| 3 |
| 54 | 3 | 金融學院 | ||
金融工程研究 |
| 2 |
| 36 | 2 | 金融學院 | ||
公司金融研究 |
| 2 |
| 36 | 2 | 金融學院 | ||
固定收益證券研究 |
|
| 2 | 36 | 2 | 金融學院 | ||
國際金融研究 |
|
| 2 | 36 | 2 | 金融學院 | ||
投資學 |
|
| 2 | 36 | 2 | 金融學院 | ||
名師講座 |
|
| 8次 | 2 | 統信學院 | |||
社會實踐 |
|
|
|
|
|
| 1 | 統信學院 |
Master Program in Statistics 2020
Field: Science
Discipline: Statistics
School: School of Statistics and Information
I. Objectives
The aim of this program is to cultivate complex and open professionals with good political quality and moral cultivation, solid theoretical basis in statistics, mathematics and economics, modern statistical methods and related computer technology, and skillful use of modern statistics and big data analysis to solve problems related to the economic system in the fields of trade, finance and business.
II. Duration of the Program
The duration of the program is 2.5 years. Students who have successfully completed the coursework within the required time but have not completed their dissertation can apply for an extension of no more than one year.
III. Field of Research
1. Mathematical Statistics
2. Socio-economic Statistics
3. Financial Statistics, Risk Management and Actuarial Science
4. Data Science and Statistical Computing
IV. Courses and Credits
All students must earn 40 credits, including 7 “common required course” credits, 20 “required course” credits, 10 “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, students who are going to be researchers are required to have a good knowledge of probability theory, statistical inference, statistical methods and statistical programming. They are also required to apply the 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, students can be equipped with practical abilities to analyze and solve problems by using the basic knowledge and skills they have learned in this program, and hence, enhance their social adaptability and employment competitiveness. Social practice is to be assessed by completing a report covering the following points: 1) Analyze and consider the events occurring in social practice by using the science of statistics. 2) Sum up the experiences and lessons in social practice for case studies. 3) Be familiar with the basic knowledge and skill of the internship and the relevant industry. 4) Summarize the management knowledge and skills of the relevant industry.
To enhance postgraduate students' academic and scientific capability, postgraduate students during his or her school period are 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 | ||||||||||||
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 Language and Statistical Software | 2 |
|
| 36 | 2 | School of Statistics and Information | ||||||||
Required Courses | Advanced Statistics | 3 |
|
| 54 | 3 | School of Statistics and Information | |||||||
Advanced Probability | 3 |
|
| 54 | 3 | School of Statistics and Information | ||||||||
Advanced Programming | 3 |
|
| 54 | 3 | School of Statistics and Information | ||||||||
Linear Model |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Multivariate Statistics |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Time Series Analysis |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Statistical Learning |
| 3 |
| 54 | 3 | School of Statistics and Information | ||||||||
Nonparametric Statistics |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Optional Cours e
s | Theoretical Courses | Bayesian Statistics |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||
Statistical Computing |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Financial Mathematics |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Actuarial mathematics of life insurance |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Actuarial Model |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Experimental Design and Modeling |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Sampling Theory and Application |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Applied Linguistic Courses | Survival Analysis |
| 2 |
| 36 | 2 | School of Statistics and Information | |||||||
Spatial Statistics |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Data Mining |
| 3 |
| 54 | 3 | School of Statistics and Information | ||||||||
Advanced Database Technology |
| 3 |
| 54 | 3 | School of Statistics and Information | ||||||||
Introduction to Algorithms |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Statistical software(SAS) |
| 2 |
| 36 | 2 | School of Statistics and Information | ||||||||
Risk Management |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Generalized Linear Model and Mixed Effects Model |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Analysis of Complex Data |
|
| 2 | 36 | 2 | School of Statistics and Information | ||||||||
Interdisciplinary Courses (Students are required to take at least one interdisciplinary course for 2 credits.) | International Logistics and Supply Chain Management |
|
| 2 | 36 | 2 | School of Business | |||||||
Electronic Commerce |
|
| 2 | 36 | 2 | School of Business | ||||||||
Monographic Study on Marketing Management |
| 2 |
| 36 | 2 | School of Management | ||||||||
Monographic Study on Consumer Behavior |
| 2 |
| 36 | 2 | School of Management | ||||||||
Financial Econometrics |
| 3 |
| 54 | 3 | School of Finance | ||||||||
Research in Financial Engineering |
| 2 |
| 36 | 2 | School of Finance | ||||||||
Research in Corporate Finance |
| 2 |
| 36 | 2 | School of Finance | ||||||||
Fixed income securities Research |
|
| 2 | 36 | 2 | School of Finance | ||||||||
Research in International Finance |
|
| 2 | 36 | 2 | School of Finance | ||||||||
Investment |
|
| 2 | 36 | 2 | School of Finance | ||||||||
| 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 | ||||||||