數(shù)字引領(lǐng)時(shí)代  智能開(kāi)創(chuàng)未來(lái)

2019級(jí)統(tǒng)計(jì)學(xué)(經(jīng)濟(jì)學(xué))碩士研究生培養(yǎng)方案


 

所屬學(xué)科門(mén)類(lèi):經(jīng)濟(jì)學(xué)

所屬一級(jí)學(xué)科:應(yīng)用經(jīng)濟(jì)學(xué)

所屬院系:統(tǒng)計(jì)與信息學(xué)院

 

一、培養(yǎng)目標(biāo)

本專(zhuān)業(yè)旨在培養(yǎng)具有扎實(shí)的數(shù)學(xué)與統(tǒng)計(jì)理論基礎(chǔ),精通現(xiàn)代定量分析方法與技術(shù),具有使用現(xiàn)代統(tǒng)計(jì)學(xué)方法和工具獨(dú)立完成貿(mào)易、金融、商務(wù)領(lǐng)域數(shù)據(jù)分析的高層次、高素質(zhì)的專(zhuān)門(mén)人才。畢業(yè)生既能在政府部門(mén)、金融機(jī)構(gòu)和各類(lèi)企事業(yè)單位從事宏觀經(jīng)濟(jì)與微觀經(jīng)濟(jì)信息管理、數(shù)量分析等工作,又能從事創(chuàng)新性科學(xué)研究工作或自主創(chuàng)業(yè)。

二、學(xué)制

本專(zhuān)業(yè)學(xué)制為2.5年。在規(guī)定時(shí)期完成課程學(xué)習(xí),但未完成學(xué)位論文者,可申請(qǐng)延長(zhǎng)學(xué)習(xí)年限,累計(jì)延長(zhǎng)學(xué)習(xí)年限一般不超過(guò)一年。

三、研究方向

1、貿(mào)易統(tǒng)計(jì)

2、金融統(tǒng)計(jì)

3、統(tǒng)計(jì)與計(jì)量方法

四、課程設(shè)置與學(xué)分要求

本專(zhuān)業(yè)碩士研究生在攻讀碩士學(xué)位期間應(yīng)修滿40學(xué)分,其中包括公共必修課7學(xué)分,學(xué)位基礎(chǔ)課16學(xué)分,選修課14學(xué)分(其中跨專(zhuān)業(yè)選修課最少必須選擇2學(xué)分),名師講座2學(xué)分,社會(huì)實(shí)踐1學(xué)分。具體課程安排和學(xué)分見(jiàn)附表

五、社會(huì)實(shí)踐及科研能力的培養(yǎng)

根據(jù)本專(zhuān)業(yè)的培養(yǎng)方案,對(duì)于統(tǒng)計(jì)學(xué)高級(jí)研究人才的培養(yǎng),要求掌握概率論、統(tǒng)計(jì)推斷、統(tǒng)計(jì)編程等基礎(chǔ)課和專(zhuān)業(yè)課,掌握這些課程在科學(xué)研究中的應(yīng)用能力。

對(duì)于統(tǒng)計(jì)學(xué)人才的培養(yǎng),要求學(xué)生在研究生期間參加一定的社會(huì)實(shí)踐。通過(guò)社會(huì)實(shí)踐,培養(yǎng)學(xué)生的實(shí)踐能力、分析問(wèn)題和解決問(wèn)題的能力以及綜合運(yùn)用所學(xué)基礎(chǔ)知識(shí)和基本技能的能力,同時(shí)也為增強(qiáng)學(xué)生適應(yīng)社會(huì)的能力和就業(yè)競(jìng)爭(zhēng)力。社會(huì)實(shí)踐內(nèi)容的考核辦法主要包括以下幾個(gè)方面:(1)運(yùn)用課堂學(xué)過(guò)的統(tǒng)計(jì)學(xué)知識(shí)來(lái)分析和思考社會(huì)實(shí)踐過(guò)程中發(fā)生的事情;(2)總結(jié)社會(huì)實(shí)踐中的經(jīng)驗(yàn)與教訓(xùn),并將這些經(jīng)驗(yàn)與教訓(xùn)總結(jié)成案例;(3)掌握與實(shí)習(xí)單位有關(guān)行業(yè)的基本知識(shí)與基本技能;(4)總結(jié)有關(guān)行業(yè)的管理知識(shí)與基本技能。成果是圍繞上述內(nèi)容寫(xiě)一篇社會(huì)實(shí)踐報(bào)告。

為了提高研究生學(xué)術(shù)科研能力,發(fā)揮研究生導(dǎo)師的研究指導(dǎo)作用,研究生在校期間必須在導(dǎo)師的指導(dǎo)下,從事統(tǒng)計(jì)科學(xué)研究,具備獨(dú)立查閱前沿文獻(xiàn)、明確科學(xué)問(wèn)題以及初步進(jìn)行科技創(chuàng)新的能力,并得到導(dǎo)師的認(rèn)可。

六、培養(yǎng)方式與成績(jī)考核

統(tǒng)計(jì)學(xué)專(zhuān)業(yè)的課程均采取講授、討論和專(zhuān)題研究的方式進(jìn)行,對(duì)碩士研究生的培養(yǎng)實(shí)行導(dǎo)師負(fù)責(zé)制。

七、學(xué)位論文

碩士研究生的學(xué)位論文開(kāi)題報(bào)告應(yīng)在第四學(xué)期初完成,由本學(xué)科碩士生指導(dǎo)小組組織進(jìn)行。學(xué)位論文的寫(xiě)作要求見(jiàn)《上海對(duì)外經(jīng)貿(mào)大學(xué)碩士學(xué)位論文內(nèi)容和格式要求2013年修訂)。


附表:

類(lèi)別

課程名稱(chēng)

第1學(xué)期

第2學(xué)期

第3學(xué)期

學(xué)時(shí)

學(xué)分

開(kāi)課部門(mén)

公共課

中國(guó)特色社會(huì)主義理論與實(shí)踐研究(學(xué)位課)

2

  

  

36

2

馬克思主義學(xué)院

馬克思主義與社會(huì)科學(xué)方法論研究

1

  

  

18

1

馬克思主義學(xué)院

高級(jí)英語(yǔ)口語(yǔ)與寫(xiě)作

2

  

  

36

2

外語(yǔ)學(xué)院

統(tǒng)計(jì)軟件(英)

2

  

  

36

2

統(tǒng)信學(xué)院

學(xué)位基礎(chǔ)課

高級(jí)微觀經(jīng)濟(jì)學(xué)(I)

3

  

  

54

3

經(jīng)貿(mào)學(xué)院

高級(jí)宏觀經(jīng)濟(jì)學(xué)(I)

3

  

  

54

3

經(jīng)貿(mào)學(xué)院

高等統(tǒng)計(jì)學(xué)

3

  

  

54

3

統(tǒng)信學(xué)院

高級(jí)計(jì)量經(jīng)濟(jì)學(xué)

3

  

  

54

3

統(tǒng)信學(xué)院

線性模型理論

  

2

  

36

2

統(tǒng)信學(xué)院

統(tǒng)計(jì)計(jì)算

  

2

  

36

2

統(tǒng)信學(xué)院

理論型

(5選3)

  

多元統(tǒng)計(jì)分析

  

2

  

36

2

統(tǒng)信學(xué)院

隨機(jī)過(guò)程

  

2

  

36

2

統(tǒng)信學(xué)院

時(shí)間序列分析

  

2

  

36

2

統(tǒng)信學(xué)院

  

數(shù)據(jù)挖掘

  

  

2

36

2

統(tǒng)信學(xué)院

  

抽樣理論與應(yīng)用

  

  

2

36

2

統(tǒng)信學(xué)院

  

應(yīng)用型(模塊I:貿(mào)易統(tǒng)計(jì)

國(guó)民經(jīng)濟(jì)核算理論與方法

  

2

  

36

2

統(tǒng)信學(xué)院

  

國(guó)際貿(mào)易

  

2

  

36

2

經(jīng)貿(mào)學(xué)院

  

貿(mào)易統(tǒng)計(jì)

  


2

36

2

統(tǒng)信學(xué)院

  

經(jīng)濟(jì)指數(shù)理論與應(yīng)用研究

  

  

2

36

2

統(tǒng)信學(xué)院

  

應(yīng)用型(模塊II:金融統(tǒng)計(jì)

金融時(shí)間序列

  

2

  

36

2

統(tǒng)信學(xué)院

  

金融統(tǒng)計(jì)

  

2

  

36

2

統(tǒng)信學(xué)院

  

精算模型

  

  

2

36

2

統(tǒng)信學(xué)院

  

金融經(jīng)濟(jì)學(xué)

  

  

2

36

2

統(tǒng)信學(xué)院

  

風(fēng)險(xiǎn)管理

  

  

2

36

2

統(tǒng)信學(xué)院

  

應(yīng)用型(模塊III:統(tǒng)計(jì)與計(jì)量方法研究)

可靠性分析

  

2

  

36

2

統(tǒng)信學(xué)院

  

生存分析

  

2

  

36

2

統(tǒng)信學(xué)院

  

商業(yè)數(shù)據(jù)庫(kù)管理

  

2

  

36

2

統(tǒng)信學(xué)院

  

空間統(tǒng)計(jì)學(xué)

  

2

  

36

2

統(tǒng)信學(xué)院

  

 

 

 

 

 

 

 

  

統(tǒng)計(jì)軟件SAS

  

2

  

36

2

統(tǒng)信學(xué)院

  

貝葉斯統(tǒng)計(jì)

  

2

  

36

2

統(tǒng)信學(xué)院

  

數(shù)量經(jīng)濟(jì)學(xué)研究方法

  

2

  

36

2

統(tǒng)信學(xué)院

  

非參數(shù)統(tǒng)計(jì)

  

  

2

36

2

統(tǒng)信學(xué)院

  

廣義線性與混合效應(yīng)模型(英)

  

  

2

36

2

統(tǒng)信學(xué)院

  

復(fù)雜數(shù)據(jù)分析

  

  

2

36

2

統(tǒng)信學(xué)院

  

試驗(yàn)設(shè)計(jì)與建模

  

  

2

36

2

統(tǒng)信學(xué)院

  

運(yùn)籌學(xué)

  

  

2

36

2

統(tǒng)信學(xué)院

  

跨專(zhuān)業(yè)(最少必須選修2學(xué)分)

金融工程研究

  

2

  

36

2

金融學(xué)院

  

高級(jí)微觀經(jīng)濟(jì)學(xué)(II)

  

2

  

36

2

經(jīng)貿(mào)學(xué)院

  

區(qū)域經(jīng)濟(jì)學(xué)

  

2

  

36

2

經(jīng)貿(mào)學(xué)院

  

高級(jí)宏觀經(jīng)濟(jì)學(xué)(II)

  

3

  

54

3

經(jīng)貿(mào)學(xué)院

  

創(chuàng)業(yè)管理專(zhuān)題

  

 

2

36

2

管理學(xué)院

  

Python程序設(shè)計(jì)

  

2

 

36

2

統(tǒng)信學(xué)院

  

固定收益證券研究

  

  

2

36

2

金融學(xué)院

  

投資學(xué)

  

  

2

36

2

金融學(xué)院

  

國(guó)際金融研究

  

  

2

36

2

金融學(xué)院

  

電子商務(wù)

  

  

2

36

2

經(jīng)貿(mào)學(xué)院

名師講座

8次

2

統(tǒng)信學(xué)院

社會(huì)實(shí)踐

  

  

  

  

1

統(tǒng)信學(xué)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 “l(fā)ecture course” credits and 1social 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 Language and Statistical Software

2

 

 

36

2

School of Statistics and Information

Required Courses

Advanced Micro EconomicsI

3

  

  

54

3

School of Business

Advanced Macro EconomicsI

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

 

3

 

54

3

School of Business

Topics in Regional Economics

 

3

 

54

3

School of Business

Python Programming

 

2

 

36

2

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