2022級數量經濟學碩士研究生培養方案
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
本專業旨在培養德才兼備,具有家國情懷和國際視野,具備良好政治素質與職業道德,具有扎實的現代經濟理論和統計理論基礎,精通數量分析的基本方法和手段,具有使用量化分析工具獨立分析和解決實際經濟決策和金融風險管理問題的能力,具有一定創新創業能力,具有較強的數據處理、分析和計算機應用能力的高級經濟金融專門人才。
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,累計最長學習年限不超過4.5年。
三、研究方向
1.計量經濟學理論、方法和應用
2.金融統計與風險管理
3.經濟決策與數據挖掘
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38學分,其中包括公共課7學分,學位基礎課18學分,專業選修課8學分(其中方向必修課至少4學分),跨專業選修課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
根據本專業的培養方案,對于數量經濟學高級研究人才的培養,要求掌握高級宏微觀經濟學、高級計量經濟學、數理金融等基礎課和專業課,掌握這些課程在科學研究中的應用能力。
對于數量經濟學應用型人才的培養,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)運用課堂學過的數量經濟學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。
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。
七、培養方式
數量經濟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
研究生必須按規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 | ||
| 統計軟件(英) | 2 |
|
| 36 | 2 | 統計與信息學院 | ||
| 學位基礎課 | 學術規范與論文寫作 |
| 1 |
| 18 | 1 | 統計與信息學院 | |
| 高級微觀經濟學(I) | 3 |
|
| 54 | 3 | 國際經貿學院 | ||
| 高級宏觀經濟學(I) | 3 |
|
| 54 | 3 | 國際經貿學院 | ||
| 高級計量經濟學 | 3 |
|
| 54 | 3 | 統計與信息學院 | ||
| 高級程序設計 | 2 |
|
| 36 | 2 | 統計與信息學院 | ||
| 高等統計學 | 3 |
|
| 54 | 3 | 統計與信息學院 | ||
| 高級計量經濟學(II) |
| 3 |
| 54 | 3 | 統計與信息學院 | ||
| 選修課 | 理論型 | 高級微觀經濟學(II) |
| 2 |
| 36 | 2 | 國際經貿學院 |
| 高級宏觀經濟學(II) |
| 2 |
| 36 | 2 | 國際經貿學院 | ||
| 時間序列分析* |
| 2 |
| 36 | 2 | 統計與信息學院 | ||
| 數量經濟學研究方法* |
| 2 |
| 36 | 2 | 統計與信息學院 | ||
| 非參數統計* |
| 2 |
| 36 | 2 | 統計與信息學院 | ||
|
| 2 |
| 36 | 2 | 統計與信息學院 | |||
| 國民經濟核算理論與方法 | 3 |
|
| 54 | 3 | 統計與信息學院 | ||
| 現代經濟增長研究 |
| 2 |
| 36 | 2 | 國際經貿學院 | ||
| 數理金融** |
| 3 |
| 54 | 3 | 統計與信息學院 | ||
| 金融工程** |
| 2 |
| 36 | 2 | 統計與信息學院 | ||
| 博弈論*** |
| 2 |
| 36 | 2 | 統計與信息學院 | ||
| 應用型 | 國際貿易統計 |
| 3 |
| 54 | 3 | 統計與信息學院 | |
| 全球價值鏈統計 |
| 2 |
| 36 | 2 | 統計與信息學院 | ||
| 金融計量學** | 3 |
|
| 54 | 3 | 統計與信息學院 | ||
| 高頻數據與量化交易 |
| 2 |
| 36 | 2 | 統計與信息學院 | ||
| 機器學習*** |
| 3 |
| 54 | 3 | 統計與信息學院 | ||
| 經濟數據挖掘與量化研究*** |
|
| 2 | 36 | 2 | 統計與信息學院 | ||
| 神經網絡與深度學習 |
|
| 2 | 36 | 2 | 統計與信息學院 | ||
| 強化學習基礎 |
|
| 2 | 36 | 2 | 統計與信息學院 | ||
| 互聯網前沿技術創新應用案例 |
| 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 | ||
| 社會網絡分析與計算方法 |
| 2 |
| 36 | 2 | 國際經貿學院 | ||
| 跨專業 | 金融工程研究 |
| 2 |
| 36 | 2 | 金融管理學院 | |
| 公司金融研究 |
| 2 |
| 36 | 2 | 金融管理學院 | ||
| 國際金融研究 |
|
| 2 | 36 | 2 | 金融管理學院 | ||
| 金融風險管理 |
|
| 2 | 36 | 2 | 金融管理學院 | ||
| 投資學 |
|
| 2 | 36 | 2 | 金融管理學院 | ||
| 固定收益證券研究 |
|
| 2 | 36 | 2 | 金融管理學院 | ||
| 產業組織理論 |
| 2 |
| 36 | 2 | 國際經貿學院 | ||
| 人口、資源和環境經濟學 |
|
| 2 | 36 | 2 | 國際經貿學院 | ||
| 市場營銷專題 |
| 2 |
| 36 | 2 | 工商管理學院 | ||
| 服務貿易與全球價值鏈 |
| 2 |
| 36 | 2 | 貿易談判學院 | ||
| 名師講座 | 8次 | 2 |
| |||||
| 社會實踐 |
|
|
|
| 1 |
| ||
注:*,**,***分別為方向1、2、3的方向必修課,亦可作為其他方向專業選修課。
MasterPrograminQuantitativeEconomics for2022
AcademicField: Economics
PrimaryDiscipline: Applied Economics
SchoolOffering the Program: School of Statistics and Information
I.Program Objectives
Thismajor aims to cultivate high-level economic and financialprofessionals with both ability and political integrity, family andcountry feelings and international vision, good political quality andprofessional ethics, solid foundation in modern economic theory andstatistical theory, proficient in the basic methods and means ofquantitative analysis, the ability to independently analyze and solvepractical economic decision-making and financial risk managementproblems using quantitative analysis tools, and the ability toinnovate and start a business, and have strong data processing,analysis and computer application capabilities.
II.Duration of the Program
Theduration of this program is 2.5 years. Students who have successfullycompleted the course of study within the prescribed period, but havenot completed the dissertation, may apply for an extension of theperiod of study for a maximum cumulative period not exceeding 4.5years.
III.Research Areas
1. Theories,Methods and Applications in Quantitative Economics
2. FinancialStatistics and Risk Management
3. EconomicDecisions and Data Mining
IV.Courses and Credits
Allstudents must earn 38 credits, including 7 “common required course”credits, 18 “required course” credits, 8 “optional course”credits (including 4 or more “directional compulsory course”credits), 2“cross-specialty optional course” credits, 2 “lecture course”credits and 1 “social practice” credit. In addition, mastercandidates in this program must pass College English Test (CET) 6 oran equivalent test of English language proficiency to fulfil therequirement for graduation. Specific course structure can be found inthe appendix.
V.Social Practice
Accordingto the program plan, students who are going to get seniorquantitative economics researchers are required to have a goodknowledge of courses, such as Advanced Macro- and Micro-economics,Advanced Econometrics and Mathematical Finance. They are alsorequired to apply the learned knowledge in scientific research.
Forstudents who are going to be quantitative economics practicalpersonnel, they are required to take part in social practice. Throughsocial practice, we can equip students with practical abilities toanalyze and solve problems by using the basic knowledge and skillsthey have learned in this program. Hence, we can enhance their socialadaptability and employment competitiveness. Social practice is to beassessed by completing a report covering the following points: 1)Analyze and consider the events occurring in the course of socialpractice by knowledge of quantitative economics learned inclassrooms. 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.
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
Allthe courses will take the forms of intensive lectures, discussionsand study in special topics. Master supervisors are responsible forthe cultivation of their master 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 & Writing |
| 2 |
| 36 | 2 | School of Languages | ||
| Statistical Software (English) | 2 |
|
| 36 | 2 | School of Statistics and Information | ||
| Required Courses | Academic Standards and Paper Writing |
| 1 |
| 18 | 1 | School of Statistics and Information | |
| Advanced Micro Economics(I) | 3 |
|
| 54 | 3 | School of Business | ||
| Advanced Macro Economics(I) | 3 |
|
| 54 | 3 | School of Business | ||
| Advanced Econometrics | 3 |
|
| 54 | 3 | School of Statistics and Information | ||
| Advance Programming | 2 |
|
| 54 | 2 | School of Statistics and Information | ||
| Advanced Statistics | 3 |
|
| 54 | 3 | School of Statistics and Information | ||
| Advanced Econometrics(II) |
| 3 |
| 54 | 3 | School of Statistics and Information | ||
| Optional Courses | Theoretical | Advanced Micro Economics (II) |
| 2 |
| 36 | 2 | School of Business |
| Advanced Macro Economics(II) |
| 2 |
| 36 | 2 | School of Business | ||
| Time Series Analysis* |
| 2 |
| 36 | 3 | School of Statistics and Information | ||
| Research Methods in Quantitative Economics* |
| 2 |
| 36 | 2 | School of Statistics and Information | ||
| Nonparametric Statistics * |
| 2 |
| 36 | 2 | School of Statistics and Information | ||
| Theory and Application of Spatio-Temporal Statistics |
| 2 |
| 36 | 2 | School of Statistics and Information | ||
| Theories and Methods of National Accounting | 3 |
|
| 54 | 3 | School of Statistics and Information | ||
| Modern Economic Growth Research |
| 2 |
| 36 | 2 | School of Business | ||
| Mathematical Finance** |
| 3 |
| 54 | 3 | School of Statistics and Information | ||
| Financial Engineering ** |
| 2 |
| 36 | 2 | School of Statistics and Information | ||
| Game Theory** |
| 2 |
| 36 | 2 | School of Statistics and Information | ||
| Applied | International Trade Statistics Research |
| 3 |
| 54 | 3 | School of Statistics and Information | |
| Global Value Chain Statistics |
| 2 |
| 36 | 2 | School of Statistics and Information | ||
| Financial Econometrics** | 3 |
|
| 54 | 3 | School of Statistics and Information | ||
| High-Frequency Trading and Quantitative Finance |
| 2 |
| 36 | 2 | School of Statistics and Information | ||
| Machine Learning*** |
| 3 |
| 54 | 3 | School of Statistics and Information | ||
| Data Mining and Quantitative Research in Economics*** |
| 2 |
| 36 | 2 | School of Statistics and Information | ||
| Neural Network and Deep Learning*** |
|
| 2 | 36 | 2 | School of Statistics and Information | ||
| Reinforcement Learning |
|
| 2 | 36 | 2 | School of Statistics and Information | ||
| Internet Leading Technology Innovative Applications |
| 2 |
| 36 | 2 | School of Statistics and Information | ||
| Complex System and Complex Networks |
|
| 2 | 36 | 2 | School of Statistics and Information | ||
| Social Network Analysis and Calculation Methods |
| 2 |
| 36 | 2 | School of Business | ||
| Cross-Specialty | Research in Financial Engineering |
| 2 |
| 36 | 2 | School of Finance | |
| Research in Corporate Finance |
| 2 |
| 36 | 2 | School of Finance | ||
| Research in International Finance |
|
| 2 | 36 | 2 | School of Finance | ||
| Financial Risk Management |
|
| 2 | 36 | 2 | School of Finance | ||
| Investment |
|
| 2 | 36 | 2 | School of Finance | ||
| Fixed Income Securities Research |
|
| 2 | 36 | 2 | School of Finance | ||
| The Theory of Industrial Organization |
| 2 |
| 36 | 2 | School of Business | ||
| Population, Resource and Environmental Economics |
|
| 2 | 36 | 2 | School of Business | ||
| Monographic Study on Marketing Management |
| 2 |
| 36 | 2 | School of Management | ||
| Trade in Services and Global Value Chain |
| 2 |
| 36 | 2 | School of Trade Negotiation | ||
| Lectures | 8 times | 2 |
| |||||
| Social Practice |
|
|
|
| 1 |
| ||