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2020級(jí)統(tǒng)計(jì)學(xué)(理學(xué))碩士研究生培養(yǎng)方案


 

所屬學(xué)科門類:理學(xué)

所屬一級(jí)學(xué)科:統(tǒng)計(jì)學(xué)

所屬院系:統(tǒng)計(jì)與信息學(xué)院

 

一、培養(yǎng)目標(biāo)

本專業(yè)旨在培養(yǎng)具有良好政治素質(zhì)與道德修養(yǎng),擁有堅(jiān)實(shí)的統(tǒng)計(jì)學(xué)、數(shù)學(xué)、經(jīng)濟(jì)學(xué)理論基礎(chǔ),掌握現(xiàn)代統(tǒng)計(jì)分析方法和相關(guān)計(jì)算機(jī)技術(shù),在貿(mào)易、金融與商務(wù)等領(lǐng)域,熟練地運(yùn)用現(xiàn)代統(tǒng)計(jì)、計(jì)量分析和大數(shù)據(jù)分析與挖掘等方法解決經(jīng)濟(jì)系統(tǒng)中相關(guān)問(wèn)題的復(fù)合型與開放型專業(yè)人才。

二、學(xué)制

本專業(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)最長(zhǎng)年限不得超過(guò)4.5年。

三、研究方向

1、數(shù)理統(tǒng)計(jì)學(xué)

2、社會(huì)經(jīng)濟(jì)統(tǒng)計(jì)學(xué)

3、金融統(tǒng)計(jì)、風(fēng)險(xiǎn)管理與精算學(xué)

4、數(shù)據(jù)科學(xué)與統(tǒng)計(jì)計(jì)算

四、課程設(shè)置與學(xué)分要求

本專業(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20學(xué)分,選修課10學(xué)分(其中跨專業(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)分見附表。

五、社會(huì)實(shí)踐及科研能力的培養(yǎng)

根據(jù)本專業(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)課和專業(yè)課,并具備將所學(xué)知識(shí)應(yīng)用在科學(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)踐的考核方式主要包括以下幾個(gè)方面:(1)運(yùn)用統(tǒng)計(jì)學(xué)知識(shí)分析和思考社會(huì)實(shí)踐過(guò)程中發(fā)生的事情;(2)社會(huì)實(shí)踐中的經(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)容寫一篇社會(huì)實(shí)踐報(bào)告。

為了提高研究生科研能力,發(fā)揮研究生導(dǎo)師的指導(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,并在學(xué)術(shù)期刊上以第一作者身份或第二作者身份(導(dǎo)師為第一作者)公開發(fā)表學(xué)術(shù)論文一篇及以上,此為研究生學(xué)位申請(qǐng)的必要條件之一。

六、培養(yǎng)方式與成績(jī)考核

 

六、培養(yǎng)方式與成績(jī)考核

統(tǒng)計(jì)學(xué)專業(yè)的課程均采取講授、討論和專題研究的方式進(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)位論文的寫作要求見《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:

類別

課程名稱

第1學(xué)期

第2學(xué)期

第3學(xué)期

學(xué)時(shí)

學(xué)分

開課部門

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)

 

 

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

高等統(tǒng)計(jì)學(xué)

3

 

 

54

3

統(tǒng)信學(xué)院

高等概率論

3

 

 

54

3

統(tǒng)信學(xué)院

高級(jí)程序設(shè)計(jì)

3

 

 

54

3

統(tǒng)信學(xué)院

線性模型理論

 

2

 

36

2

統(tǒng)信學(xué)院

多元統(tǒng)計(jì)分析

 

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

統(tǒng)計(jì)學(xué)習(xí)

 

3

 

54

3

統(tǒng)信學(xué)院

非參數(shù)統(tǒng)計(jì)

 

 

2

36

2

統(tǒng)信學(xué)院

選修

理論型

貝葉斯統(tǒng)計(jì)

 

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

金融數(shù)學(xué)

 

2

 

36

2

統(tǒng)信學(xué)院

壽險(xiǎn)精算數(shù)學(xué)(英)

 

 

2

36

2

統(tǒng)信學(xué)院

精算模型

 

 

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

抽樣理論與應(yīng)用

 

 

2

36

2

統(tǒng)信學(xué)院

應(yīng)用型

生存分析

 

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

數(shù)據(jù)挖掘

 

3

 

54

3

統(tǒng)信學(xué)院

高級(jí)數(shù)據(jù)庫(kù)技術(shù)

 

3

 

54

3

統(tǒng)信學(xué)院

算法導(dǎo)論

 

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

風(fēng)險(xiǎn)管理

 

 

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

跨專業(yè)(最少必須選修2學(xué)分)

國(guó)際物流與供應(yīng)鏈管理

 

 

2

36

2

經(jīng)貿(mào)學(xué)院

電子商務(wù)

 

 

2

36

2

經(jīng)貿(mào)學(xué)院

市場(chǎng)營(yíng)銷專題

 

2

 

36

2

工商管理學(xué)院

消費(fèi)者行為專題

 

2

 

36

2

工商管理學(xué)院

金融計(jì)量學(xué)

 

3

 

54

3

金融學(xué)院

金融工程研究

 

2

 

36

2

金融學(xué)院

公司金融研究

 

2

 

36

2

金融學(xué)院

固定收益證券研究

 

 

2

36

2

金融學(xué)院

國(guó)際金融研究

 

 

2

36

2

金融學(xué)院

投資學(xué)

 

 

2

36

2

金融學(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 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 “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, 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

 

 

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