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[统计] MS.AD[Stat@Columbia,UIUC,GWU,UCI,BU MPS@Cornell] 学校情况说明+选校求助(不断更新) [复制链接]

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发表于 2011-3-31 15:37:29 |只看该作者
本帖最后由 三千越甲 于 2011-3-31 15:39 编辑

美国第二大最大证券交易所
世界最大的期货交易市场
美国第三大城市
美国重要的港口城市,美国的心脏复地,水路铁路航空四通八达
芝加哥大学有81位校友曾获诺贝尔奖(请参考至2007年诺贝尔奖得主最多的大学),其中包括华裔物理学家李政道、杨振宁、崔琦。
LS的,你还想期望太多么?

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发表于 2011-3-31 16:28:08 |只看该作者
要是Uchicago或UCLA或Umich要我,我早去了。。。个人倾向于Cornell是因为看了他的课程设置,还是挺紧张的吧,毕竟是一年,课程安排的也很多样。我想如果学不到什么凭什么去找工作呢?毕竟华人是有身份限制的,到了那边还是要靠实力说话。去哥大我感觉学业上有点荒废了。

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发表于 2011-3-31 16:35:32 |只看该作者
本帖最后由 xiaoxinshou 于 2011-3-31 16:36 编辑

chicago地理位置不如纽约但也不能说不行吧,金融中心纽约之后不就是芝加哥了..........但是那个项目没有哥大这个有非议,排名也很高吧,所以我也觉得还是chicago好些

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发表于 2011-3-31 22:55:36 |只看该作者
lz你不会是我学姐吧。。。。。cufe么。。。。。
balabala...下半年在瑞典要开心

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发表于 2011-3-31 23:00:34 |只看该作者
本帖最后由 brilliant777 于 2011-3-31 23:02 编辑

49# haoyangcufe

我表示LZ不太可能是你学姐。。。
2011Fall Statistics Master
AD: 10
REJ: 4

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发表于 2011-3-31 23:15:05 |只看该作者
49# haoyangcufe
我是swufe的。。。

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发表于 2011-3-31 23:18:06 |只看该作者
50# brilliant777
brilliant777 难不成我们认识?

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发表于 2011-4-1 01:41:50 |只看该作者
谢谢前面同学们的热烈讨论,我感觉大家主要还是在比较Cornell的MPS和Columbia Stat MA,所以楼主我又来总结一下了:

大家的焦点主要集中在:

1,两个program的课程比较。我把两个program的core course的description都粘过来了,大家可以对比一下
Cornell:
要求:30 credits. Most students take five courses per semester.

STSCI 5010 and 5020:covering a wide range of statistical applications, computing, and consulting. These core courses consist of a series of modules on various topics in applied statistics. We expect to draw on the expertise of practitioners for some of the modules. A part of the course is dedicated to working on the MPS project and presentation skills. SAS programming skills are taught and emphasized. Students are expected to pass at least the Base SAS Certification Exam, which is administered in our MPS computer laboratories in 301 Malott Hall in conjunction with the SAS Institute Inc.这门课据前面的帖子反映说就是在教SAS,比较水

Mathematical probability and statistics (STSCI/BTRY 4080 and 4090):
-BTRY 4080 Theory of Probability (also STSCI 4080)
Fall. 4 credits. Prerequisites: MATH 1110, 1120, at least concurrent enrollment in 2130 or 2220 or equivalents. Recommended: at least one introductory course in statistical methods.
Introduction to probability theory: axiomatic foundations; combinatorics and equally likely events; conditional probability and independence; discrete and continuous random variables, their distributions and moments; generating functions; transformations; extensions to problems involving two or more random variables; and random samples. Can serve as either one-semester introduction or a foundation for a course in statistical theory.
-BTRY 4090 Theory of Statistics (also STSCI 4090)
Spring. 4 credits. Prerequisites: BTRY 4080 or equivalent and at least one introductory statistics course.
Introduction to classical theory of parametric statistical inference that builds on the material covered in BTRY 4080. Topics include sampling distributions, principles of data reduction, likelihood, parameter estimation, hypothesis testing, interval estimation, and basic asymptotic theory.

Statistical consulting (STSCI 5951 and 5952):找不到CD,把别的帖的原话粘过来:“不用考试的课,为project做一些指导而已”

Option II的specific core courses:
Databases (CS 4320 and 4321, or equivalent):
-CS 4320 Introduction to Database Systems
Fall. 3 credits. Prerequisites: CS 3110 (or CS 2110, 2111, and permission of instructor).
Introduction to modern database systems. Concepts covered include storage structures, access methods, query languages, query processing and optimization, transaction management, recovery, database design, XML, and XQuery. The course focuses on the design and internals of modern database systems.
-CS 4321 Practicum in Database Systems
Fall. 2 credits. Pre- or corequisite: CS 4320. CS majors may use only one of the following toward their degree: CS/INFO 3300 or CS 4321.
Students build part of a real database system in C++.

High performance computing and scripting (STSCI 4060 or equivalent):
没有STSCI 4060的CD 只找到下面这门课
STSCI 4500 Databases and Statistical Computing
Spring. 4 credits. Exposure to multiple linear regression and logistic regression strongly recommended.
The intent of the course is to provide the statistician with the computational tools for statistical research and applications. Topics including random number generation and Monte Carlo methods, regression computations and application to statistical methods of optimization, and sorting.
这两门都是偏CS的课,我觉得也是和哥大core course有最大不同的地方。大概这也就是为什么前面有筒子说“Cornell学得很偏CS,去那里感觉大多数走的都是IT方向的。”

其他:At least two semesters of applied statistics BTRY 6010 and 6020 (Statistical Methods I and II)
-BTRY 6010 Statistical Methods I (also ILRST 6100)
Fall. 4 credits. Prerequisite: graduate standing or permission of instructor.
Develops and uses statistical methods to analyze data arising from a wide variety of applications. Topics include descriptive statistics, point and interval estimation, hypothesis testing, inference for a single population, comparisons between two populations, one- and two-way analysis of variance, comparisons among population means, analysis of categorical data, and correlation and regression analysis. Introduces interactive computing through statistical software. Emphasizes basic principles and criteria for selection of statistical techniques.
-BTRY 6020 Statistical Methods II
Spring. 4 credits. Prerequisites: graduate standing or permission of instructor; BTRY 6010 or equivalent.
Continuation of BTRY 6010. Emphasizes the use of multiple regression analysis, analysis of variance, and related techniques to analyze data in a variety of situations. Topics include an introduction to data collection techniques; least squares estimation; multiple regression; model selection techniques; detection of influential points, goodness-of-fit criteria; principles of experimental design; analysis of variance for a number of designs, including multi-way factorial, nested, and split plot designs; comparing two or more regression lines; and analysis of covariance. Emphasizes appropriate design of studies before data collection, and the appropriate application and interpretation of statistical techniques. Practical applications are implemented using a modern, widely available statistical package.

Columbia:
W4105:Introduction to Probability:A calculus-based introduction to probability theory. Topics covered include random variables, conditional probability, expectation, independence, Bayes' rule, important distributions, joint distributions, moment generating functions, central limit theorem, laws of large numbers and Markov's inequality.

W4107:Introduction to Statistical Inference:Calculus-based introduction to the theory of statistics. Useful distributions, law of large numbers and central limit theorem, point estimation, hypothesis testing, confidence intervals, maximum likelihood, likelihood ratio tests, nonparametric procedures, theory of least squares and analysis of variance.
和Cornell的 STSCI/BTRY 4080 and 4090一样 就是大家本科学过的概率论与数理统计

W4315:Linear Regression Models:Theory and practice of regression analysis, Simple and multiple regression, including testing, estimation, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data.

W4325:Generalized Linear Models:Statistical methods for rates and proportions, ordered and nominal categorical responses, contingency tables, odds-ratios, exact inference, logistic regression, Poisson regression, generalized linear models.   

W4437:Time Series Analysis:Least squares smoothing and prediction, linear systems, Fourier analysis, and spectral estimation. Impulse response and transfer function. Fourier series, the fast Fourier transform, autocorrelation function, and spectral density. Univariate Box-Jenkins modeling and forecasting. Emphasis on applications. Examples from the physical sciences, social sciences, and business. Computing is an integral part of the course.   
另外3门core course和cornell的BTRY 6010 and 6020 (Statistical Methods I and II)就差蛮多了。cornell的statistical method感觉就是个大杂烩,从CD上看是什么都教一点,内容比较浅,但不知道具体上课的情况是怎么样,是做很多course project这种东西吗?Columbia的这3门本科学统计的同学应该都接触过一些,理论的东西看上去比Cornell多。

在选修课方面,据反映两个program选课都比较自由,别的系的课都可以选的。哥大每学期最多可以选18credit的课,full time要求至少3门,所以每学期可以上3-6门。Cornell选课的规定是怎么样我不清楚,有人知道吗?

2,Cornell有project要求,哥大没有。从Specifications of an MPS Project上看,感觉不错,不过想问一下client是自己找吗?

3,招生人数,师生比例

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发表于 2011-4-1 03:13:44 |只看该作者
尽管选课自由,但是值得注意的是两个信息:
CORNELL的MFE学姐说:MPS的人可以跟他们选很多相似的课,这样的模式可以朝金数方向自我培养,看来选课限制不大。当然这个信息还有待大家分头找MPS在读生核实。
COLUMBIA 的在读生说:STAT尽管选课自由度挺大,但是因为哥大相似的项目太多:MFE MAFN MSOR STAT, 所以在选课方面有限制,意思是尽管给你选课自由,可是热门的课必然很抢手,首先得优先MFE MAFN 甚至MSOR,最后才能轮到STAT。这样来看,STAT选课方面真的不能很好的培养自己了。

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发表于 2011-4-1 10:29:42 |只看该作者
弱弱的问一下,如果读MPS延长到两年,把MFE的课能选的都选,那岂不是和MFE上的没啥区别了?
另外,不太看好读一年再申请一个硕士,感觉刚去才开学又要申请,背景根本没有增强多少,还要重新准备
T,推荐信,PS啥的,累死啊……当然,愿意折腾的话另当别论。
不知能不能修个undergrad level的math minor什么的。

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发表于 2011-4-1 10:30:36 |只看该作者
46# 三千越甲
呵呵,这些大家都能在网上看到,但实际的就业情况你给问问在校的stat学生,呵呵。

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发表于 2011-4-1 14:52:32 |只看该作者
我也觉得纠结,手上都是乡下学校的ad,cornell的牌子还是诱人,希望这个项目的就业真的不错,这样我就义无反顾的从了

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发表于 2011-4-1 16:16:44 |只看该作者
了解来了解去,咨询了一圈感觉名校虽然机会挺多但是对国际学生来说1年的项目都挺白瞎的...............

想一年后直接找正式工作还是比较难的.............哪都一样..........

身份、语言、文化都是问题.....普通公司都懒得给你弄签证去,大公司吧竞争激烈缺少实习经验的话(而且还得是大公司的实习经验)正式的工作也很难找到......这个2年的项目就能先实几次习,一年的话可能毕业还是得先实习............(经常被举这样的例子教育我:国际学生A如何如何好,美国当地人B如何如何弱,找实习或工作最后要B)

所以我现在感觉找工作上分不出胜负 - 。-!喜欢大城市的感觉就选哥大吧,喜欢班级小点能跟同学教授多点交流的感觉就康奈尔吧..........我现在是这样感觉的了,囧

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发表于 2011-4-1 16:26:50 |只看该作者
58# xiaoxinshou 这个项目可以读成两年 第一年数学 第二年MPS 其实硕士都差不多 我觉得找工作才是王道 这个MPS我问了毕业和在读的学生口碑都不错

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发表于 2011-4-1 16:42:05 |只看该作者
59# ozncuyang
恩,哥大和康奈尔我还是比较偏向康,觉得还是人少点好吧,只不过我现在已经不再奢望通过选一个program就能比另一个program找工作容易很多

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RE: MS.AD[Stat@Columbia,UIUC,GWU,UCI,BU MPS@Cornell] 学校情况说明+选校求助(不断更新) [修改]

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MS.AD[Stat@Columbia,UIUC,GWU,UCI,BU MPS@Cornell] 学校情况说明+选校求助(不断更新)
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