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[IEOR] 持续更新各大IEOR高校就业情况 欢迎补充

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calalia 发表于 2015-12-21 04:42:50 | 显示全部楼层 |阅读模式

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大家比较关注的 有columbia berkeley 之类的
只关注中国人(非ABC) 包括海本

公校gatech 14届是100%. 1point3acres.com/bbs

大多数数据来自于Linkedin手搜

欢迎补充

主要因为觉得 大家问XX就业怎么样 说percent啥的 或者随便评价下 太过主观 故而查点数据 更加客观. 鍥磋鎴戜滑@1point 3 acres

补充内容 (2016-4-14 20:10):
我感觉吧 工作了以后做business owner可能我的perspective不太适合New Grad 我现在给的 Point可能比较High Level 有问题的同学欢迎加我Wechat 我可以拖刚刚找到工作的在对口岗位的小伙伴来跟大家聊

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 楼主| calalia 发表于 2015-12-29 00:44:21 | 显示全部楼层

在Data没有火之前 IE是这样的
Data火了之后 OR就跟着统计和Data项目去抢Data了 我系Data跟传统IE比8:1以上 顺应潮流加入Data吧 Target传统IE又说工作不好找 属于给自己刨坑 主要是同学都面试多找的快 工资还高 活还轻 搞一搞还能升PM 情何以堪

曾经的IE
IE是个万精油,所以你如果觉的你哪个方面有所长,能和人家专业的拼拼,那你可以去试一下。 有人说我学OR找什么样的工作,答案是没有你能做的工作。这里不是说学OR找不到工作,而是你要具体到什么应用领域。真正设置专门做OR的单位很少,而且可以说要的都是Phd,招人的一般是国防部门(你没戏),带研究中心的大型医疗机构,大咨询公司。至于master,Consultant喜欢要IE的,但是进去很难,他们一般喜欢有美国本科学历的,而且这是个跟人打交道的行业,所以我上面交代的准备工作没做好的话,你也不要对他报什么希望,参考公司ZS associate。 传统的制造业里,如果你本科不是IE或是没相关实习工作经验的比较难。做supply chain 的一般是商学院的会和你竞争,比没优势,你可以选择偏向做modeling的职位,比如Fedex 有operations research analysis I 这样的职位,做供应链的建模仿真,所以这就要求你学好线性规划,network,库存管理,simulation还有相关解线性规划问题的软件和仿真软件,对计算机编程要求高。另外一行能找到工作的是做质量管理,这就要凸现你统计的优势,上好TQM,6sigma,考个green belt,熟练应用其中process improvement的方法和模型,用好minitab。找到这种职位工作的几率比较大。 如果你对这些没兴趣,其他我真心觉的你应该去学计算机。

其实我觉的在美国找工作,不分专业,第一就是口语,第二就是和系主任拉好关系,借别人的关系网,自己去多问多争取,机会不会自己来敲门。===马克
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 楼主| calalia 发表于 2015-12-27 23:57:48 | 显示全部楼层
wlfjqcj 发表于 2015-12-27 07:51
我有个同学在UTA读会计本科,她说UTA会计进4大很容易
感觉学姐的这份工作好棒!
能用到技术还比较清闲 ...

你可以看看随机的课 随机过程的书 我觉得还好啊. 1point 3acres 璁哄潧
分人吧 我觉得可能他以前是文科生吧还是啥
我整个硕士读的很懒 但是统计概率Track的都是A 不要选NLP LP啦
统计概率Track的课都是什么期望值啊 方差的延伸 不存在读不下去 商科转过来的好好学都好多人拿100. more info on 1point3acres.com
我现在是偏制造的读不下去 虽然很简单 但是唯一一门制造 惨不忍睹 还好毕业了

本来大家都和Phd一起上课 但是你有选课的权利 选随机过程那块的吧 还有马尔科夫. 鐣欏鐢宠璁哄潧-涓浜╀笁鍒嗗湴
别选整数规划 非整数规划 混合整数规划
再说 就算读不下去 还是能毕业啊
我有个学姐本科平均分刚到80 因为去清华蹭了科研去了Gatech 挂过三门 差点被劝退 但是人家还是毕业了找到工作了 485都拿到了
我觉得有些妹子比较水吧 不是脑子不好是懒吧(其实我也挺水的 不过心情好的时候学的还不错)还有就是心理暗示。
我觉得整数规划那块的 都是在做NP问题的算法 经常要考证明 证明起来都是矩阵什么的定理 有点太纯数了 我线性代数不好 也记不得几本书上的几百个定理去找其中几个正推反推。。。。而且跟找工作实在没关系 我也就没有半点动力学
统计概率相关的随机 一个如果你找Data Scientist虽然不会直接用上 但是machine learning data mining 都是统计其实 本质很相似
我觉得OR间接上对算法都有点帮助 我以前做随机启发式算法(就是在不确定 有Noise的环境下 用各种改进的遗传算法啊 神经网络啊 找最优)这几天在看AI的论文 也是蛮爽的
我觉得数学这个 大家除了数学系的 本科基础都差不多 也就是微积分 线代 概率 就没了
微积分概率学的不吃亏 90分以上的都没问题
所以我觉得 可以看看高中数学基础吧 如果高中在班上数学很虎的 就更没问题了

IEOR非整数规划Track的也是比CS容易多了。大多数时候在于听课啊 做题理解 但是题摆在那里 你花时间搞懂就好 毕竟算术题 CS主要是要Bug Free 多了很多环节
IEOR平时作业还能讨论 抱大腿 CS分分钟被查重 . 涓浜-涓夊垎-鍦帮紝鐙鍙戝竷
我觉得IEOR偏数据的Track跟统计一模一样 找工作也是 面试的时候老碰面
没听说过有人说 统计太难 读不下去的啊

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 楼主| calalia 发表于 2015-12-24 10:19:43 | 显示全部楼层
补充一个美版知乎的美丽回复

大S MSE的教授回的

不过我还是想读他家CS. 鍥磋鎴戜滑@1point 3 acres

For example, if you want to work on Wall Street, an MBA from Wharton, Columbia, HBS, Stanford GSB, MIT Sloan, and Chicago Booth is probably a better credential than the Stanford MS MS&E.  However, there are plenty of Stanford MS MS&E alumni working in the best Wall Street banks, hedge funds, etc.  If you want to work for McKinsey, Bain, and the Boston Consulting Group, most of those same top-tier MBA programs that I mentioned above offer you a chance to get a job at higher pay and with greater responsibility than most MS MS&E alumni can get right after graduation.  This is based on the assumption that most MS MS&E fresh graduates are younger, have less work experience, and have much smaller loans to pay off than students who have taken two years out of the workforce to earn an MBA at one of those other world-class institutions. But make no mistake - all of the top-tier strategy consulting firms recruit both bachelors and Masters in MS&E students.

However, if you want to start a company, being in the Stanford MS MS&E is as good or better than any of the top brand MBA programs.  First, you're more likely to have classmates that are CS, EE, Civil and Environmental Engineering, Product Design, and other engineering and science majors in MS MS&E  than you will at  the leading MBA programs.   Second, more of your classmates will be able and willing to make the leap into co-founding a startup or working for a startup than is the case in the leading MBA programs, where many of your classmates are headed to jobs and strategy consulting, investment banking, hedge funds, and marketing jobs in consumer products companies.
. visit 1point3acres.com for more.
If you want to work for a large global technology company such as Google, Facebook, Apple, HP, Cisco, Intel, Applied Materials, and Accenture, or rising stars like Twitter and Pinterest, etc. an MS MS&E is a great credential, and there are MS MS&E alumni in all of those companies.


If you want your first job out of graduate school to be in China, Singapore, India, Korea, any of the ASEAN nations, as well as Chile, Columbia, and Mexico an MS MS&E will be very valuable. There are networks of alumni from those countries in Silicon Valley, as well as in the entrepreneurial ecosystems in those countries.  There are also lots of MS MS&E alumni throughout the rest of Latin America, Eastern and Western Europe, the Middle East, and sub-Saharan Africa, but my personal focus has been  helping to build bridges between the entrepreneurial ecosystems in Silicon Valley, Los Angeles,  San Diego and Seattle with Pacific rim countries including those in Asia and Latin America mentioned above.  

3-2: Value of the Brand of the School
. 鐣欏鐢宠璁哄潧-涓浜╀笁鍒嗗湴
If you are comparing an MBA from any school that is not in the top 5 MBA programs with a Masters in MS&E from Stanford, my personal belief is that the Stanford Masters in MS&E degree will open more doors throughout your career. There are some exceptions, such as the value of a degree from Cal Berkeley or UCLA in certain companies and industries, and in certain parts of the US and Asia. Those are both great universities with outstanding MBA programs.  An MBA from University of Texas at Austin may have greater value in Texas than a Stanford MS MS&E degree in some circles.
鏉ユ簮涓浜.涓夊垎鍦拌鍧.
3-3: THe Value of A Unique Educational Experience.. 鐣欏鐢宠璁哄潧-涓浜╀笁鍒嗗湴
. 鐣欏鐢宠璁哄潧-涓浜╀笁鍒嗗湴
In terms of the educational experience itself, especially your ability to learn from your peers by working on projects together, the MS MS&E program is unique, and extremely valuable. And there are lots of projects where students work in teams on real-world companies ranging from Global Entrepreneurial Marketing to Strategy for Technology Companies to Global Project Coordination to Supply-Chain Management and beyond.

MBA programs have team-based learning too. But the main reason team based learning via projects is so valuable is that there is great diversity in the student body.  There is diversity across many disciplines.  You take courses with fellow Masters in MS&E students, as well as Masters and PhD students in other engineering disciplines and the sciences who want to learn a little bit about business, and a few very talented and motivated undergraduate students who work extra hard because they been allowed to take a graduate course with people like you.   

Another element of diversity is that there is a larger percent of international students in the Masters in MS&E program then in most of the leading MBA programs.

Many of your classmates may have less work experience. But my experience as a faculty member is that classes which include young, very bright students with limited work experience and older, equally bright, students with some work experience are much better than classes where almost everyone is in a similar age bracket has and a similar number of years experience.   
. 鍥磋鎴戜滑@1point 3 acres
3-4: Value of the Alumni Network

When the Department of Management Science and Engineering was formed in 2000 by a merger of three separate departments, it created what is now the Masters in MS & E degree.  Students who had graduated before 2000 had earned one of the following masters degrees: MS Industrial Engineering (MS IE), MS Engineering Management (MS EM),  MS Industrial Engineering and Engineering Management (MS IEEM), MS Engineering Economic Systems (MS EES), MS Operations Research (MS OR), ME Engineering Management and Operations Research (MS EESOR).   I believe that the new department has allowed alumni who had earned any of those degrees to now be called Masters in MS&E, so that the new students graduating can identify and get guidance and support from alumni from earlier years.


3-5: The Quality of the Faculty and Course Assistants

You may recall that I told you that I had the privilege to teach in the MBA programs at the Harvard Business School and Stanford GSB. My faculty colleagues in those institutions were extraordinary. Teaching alongside of them was both a humbling and a delightful experience. That said, my faculty colleagues in the Department of MS&E are as good or better then the best faculty in those two prestigious institutions.  The course assistants for Masters or PhD students that help me to teach my courses, are also amazing. It is been an honor to teach with my faculty colleagues and my course assistants and to learn from them from 1990 to the present.  

I often tell my alumni, my clients, and the entrepreneurs and investors that I work with outside of Stanford that I wake up each day both motivated and grateful to be able to do what I do for a living.  I'm living in paradise, doing work that matters, with people I love.  That sounds awfully sentimental, but if you are lucky enough to get into the Masters in MS&E program, and learn from both your classmates and the faculty and course assistants that are learning with you, you will understand what I'm talking about. It doesn't get any better than this!

3-6. MS MS&E is NOT an MBA!
. 1point3acres.com/bbs
I believe that the faculty in MS&E would stress that a Masters in MS&E is not the equivalent of an MBA. MS MS&E is a shorter program, and requires participants to have some knowledge in engineering, or mathematics, or science, or some other quantitative disciplines because part of your core courses will be "Quant."   

This technical foundation is important because the objective of the MS MS&E which you prepare students for careers across a broad variety of for-profit companies large and small, nonprofit organizations, and government agencies where some understanding of technology, or the ability to understand and apply decision analysis, operations research, mathematical modeling, and other analytical tools to diagnose, analyze, and solve complex problems is fundamental to doing an effective job. Those problems and opportunities span domains as diverse as investment banking, commercial banking, venture capital, impact investing, economics, public policy, information technology, medical technology, clean technology, automotive, aerospace, defense, and many other industries.  

Some students combine an MS MS&E with a Masters or PhD in a technical discipline or a law degree. These combinations can be quite powerful, and give you a unique set of capabilities that MBAs from the best business schools cannot match.

A few students go on to earn MBAs at places like Harvard Business School Stanford GSB, MIT Sloan, and Wharton.  Those that do have commented to me that many of the courses that they took in the MS MS&E program were is challenging, and the students were as talented, as their classmates in these top-tier MBA programs. They are also very happy to have both a Stanford MS&E degree and an MBA, especially if it's from another university such as HBS, Wharton or MIT Sloan, or Kellogg/Northwestern.  The reason is that they have credentials that will allow them to traverse to alumni networks when they are looking for jobs, funding, or talented people to join their companies.

Thanks for your patience in reading this very long reply to three very important questions.
鏉ユ簮涓浜.涓夊垎鍦拌鍧.
And remember, this is not any official statement of the MS&E department… just my personal observations as a part time, consulting faculty member.  So take it all with a grain of salt, and get other opinions.

Good luck in your career.

Tomk
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 楼主| calalia 发表于 2016-5-17 14:25:58 | 显示全部楼层
ymh 发表于 2016-5-16 20:39
女神学姐~~~我之前在NU的MPM和TAMU的ISE里面纠结最后选了TAMU~~求问TAMU ISE的就业前景怎么样?去加州神马 ...

哪里去加州都是一样的
地址改成加州的 就都一样了
从来不觉得人家看学校

只看地点
近水楼台优先
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 楼主| calalia 发表于 2016-1-4 11:22:30 | 显示全部楼层
johuhu 发表于 2016-1-3 21:19
请问 您觉得本科会计硕转Data有戏么 需不需要很强的编程基础 找工作的话是不是也会要求编程能力很强
. From 1point 3acres bbs
编程能力+用英语扯淡能力=常数
你编程不行
英语扯淡能力就要强
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 楼主| calalia 发表于 2016-4-15 07:14:06 | 显示全部楼层
johnson139 发表于 2016-4-14 16:56
楼主你好,我现在有Umich IOE, georgetown data science,哥大统计的录取
之后相往data science方向发展, ...

如果一定要读博 Umich吧 专排无所谓 感觉他们Master of Science 比较适合博士Track
疙瘩偏金融了

Umich的Research可能不是很DS 但是如果老师能给你自由度
DS很多靠自学

很多是博士 不是因为博士学的东西多相关 是因为博士五年有时间自学 和积累 培养
除了数学 主要还是编程 数学这块的学生会缺 只有公式你不写程序 只是纸上谈兵
比如学Java C++  你一个Master 如果不是自律性自学能力极强 或者底子好 有课程又要找工作 一年半载也就学个皮毛.鐣欏璁哄潧-涓浜-涓夊垎鍦
然而五年 加上兴趣 可以有码农水平了.1point3acres缃

但是DS其实定义很广泛
你Master做DS 能找到9万的加州 德州可能7万多  Phd找的一些DS都是加州工资超过程序员的 比如 Base 13万 然后各种RSU
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lihuihan 发表于 2016-3-28 16:02:45 | 显示全部楼层
本帖最后由 lihuihan 于 2016-3-28 18:38 编辑

LZ你好!~~
求比较Columbia MSIE 和 GATech MSIE。
GATech已经收到录取了,Columbia最近才面试完,等待消息ing,想提前打听一下Columbia IE的情况,以免措手不及~~

.鐣欏璁哄潧-涓浜-涓夊垎鍦
现在已知的是GATech  IE的就业很好,基本100%,工资神马的税前平均70000w左右。 我本科是材料成型及控制工程(和机械有点像),想毕业后先在美国工作几年,以后回不回国待定。所以最看重就业率和就业质量吧。感觉做技术的话GATech更加适合一点。但是Columbia在纽约,确实机会很多,而且也想见见大世面啊,毕竟扭腰! 在官网上看到哥大IEOR的整体就业信息,60%都在consulting行业。这个数据是IE和OR一起算的,感觉在NYC找工作IE还是不如OR有优势。。不知道作为一个本科机械出身的学生,能不能在研究生阶段成功转型,走consulting,financial什么的,本身并不排斥consulting, financial。 . 1point3acres.com/bbs
.鐣欏璁哄潧-涓浜-涓夊垎鍦
现在整体给我的感觉是,如果去GATech就业什么的有保障,可以设想到自己未来几年会干什么,但是可能工资一般。如果去哥大的话,风险大回报也大?如果成功转型的话,收益不错,但是也有很大的几率当炮灰,而且哥大IEOR很多是数学,金融出身的,不知道和他们的差别是不是通过努力一年半可以补回来的。。。但是IE在哥大的IEOR Dept.貌似是鄙视链底端?。。另外GATech的性价比确实很高,但是Columbia毕业能找到工作的话,学费应该很容易就赚回来了吧。

不知道LZ了不了解哥大MSIE的就业情况?.鐣欏璁哄潧-涓浜-涓夊垎鍦
在此先谢谢楼主啦~~~


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wlfjqcj 发表于 2015-12-29 23:12:30 | 显示全部楼层
calalia 发表于 2015-12-29 00:15
EE转CS 好找 不转CS 钱少 但是也好找
统计和OR都找Data。 Data坑多的不得了 所有公司都有一堆Data . 涓浜-涓夊垎-鍦帮紝鐙鍙戝竷
IEO ...

美硕压力好大!
一两年的硕士不就得刚入学就跑各种career fair了
坚定OR track,往Data上面靠,会几门编程语言
未来有方向了!!!
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 楼主| calalia 发表于 2015-12-26 00:49:00 | 显示全部楼层
wlfjqcj 发表于 2015-12-25 09:43
gatech这样看就业真的挺不错的
国内进PG的北大光华的学生都挺难,gatech读出来可以去那真的非常可以啊! ...

我同学跟我说的是general的就业 我认识的Gatech出来的直接去PG的是印度人 职位是industril engineer 偏质量管理 六西格玛考个黑带啥的
但是其实PG反正又没要求citizen
只要水平棒 中国人也可以. 鐣欏鐢宠璁哄潧-涓浜╀笁鍒嗗湴
. 鐗涗汉浜戦泦,涓浜╀笁鍒嗗湴
以前问过gatech的学姐 她也说这一块比较不错 谁家供应链大 需要的IE就多
gatech的PG校友也挺多的 这种公司 去做个Intern肯定能return IE相关的岗好像在总部

国内好像是因为PG工资比较高 才有资格挑学校吧~在国内 联合利华都敢挑人家学校╭(╯^╰)╮
但是美国PG 工资跟cummins 啊 AA的差不多 不过再总部 7,8万也是不错了 cummins在总部明尼苏达州8万
IT里的analyst也差不多这样 好一点的到9万左右 amazon IE 8,9万吧. 涓浜-涓夊垎-鍦帮紝鐙鍙戝竷
起薪其实不要紧,干的好的一年就promotion了

有6万以上就行 低了 5万多不给办H1B的
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 楼主| calalia 发表于 2015-12-24 10:04:48 | 显示全部楼层
SOLONG09 发表于 2015-12-23 11:04. Waral 鍗氬鏈夋洿澶氭枃绔,
报告楼主!想了解密歇根安娜堡的OR!求贴!!

好像大部分还没更新全职
-google 1point3acres
Customer Manufacturing@RB:RB is the world's leading consumer health and hygiene company, with brands (such as Nurofen, Strepsils, Mucinex, Dettol, Lysol Finish and Vanish) sold in nearly 200 countries and operations in over 60 countries.  营养品?
@Detroit Manufacturing
@Pfizer 巨大的生物制药公司 It  Discovers, develops, manufactures and markets prescription human and veterinary medicines, and consumer healthcare products.. 涓浜-涓夊垎-鍦帮紝鐙鍙戝竷
好像还有去GM啥实习的~~

基本上都是制造业和医疗
医疗还好
制造业不推荐女生

没有人做data science和data analytics 可能底特律那边气氛是这样
local没有data 岗
学校貌似有coop
应该通过这个拿full time容易些

如果想做比较潮的 咨询金融IT三大块 就不要去了吧 ann arbor地理位置真的很捉急
适合安安静静做科研 底特律这儿 汽车制造啥的 已经衰退了 90年代初及以前就像现在的湾区~~
然而现在╭(╯^╰)╮
如果读个phd可能好点

去TAMU USC都更加接近目标些
咨询哥大去EY
金融选Cornell和哥大
工业界 dartmouth
IT的话 加州USC /德州 UT TAMU/西雅图 UW 或者其他的数据分析专业
物流供应链 gatech
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 楼主| calalia 发表于 2015-12-21 04:46:48 | 显示全部楼层
Columbia Operations Research

不论percent 贴一下搜出来的公司 方向

Marketing:
1)SimpleSearch: A轮 10M  founded in 2010
aggregates and analyzes real-time data across social media to identify what content is driving traffic and where paid distribution dollars are best spent. The company offers big data solutions for web content providers.

2)SafeRock: Cross Channel Solutions for Retail c
Crunchbase无数据

Finance:
. more info on 1point3acres.com1)Nomura 野村投资 上市企业 跨国大公司 日企. From 1point 3acres bbs
2)RBC Capital Markets 5001-10000employees
3)CRISIL Global Research & Analytics  1001-5000 employees
4)Trexquant Investment LP  11-50 employees Trexquant is a quantitative investment firm focused on developing and trading statistically-based medium-frequency equity strategies.. visit 1point3acres.com for more.
. more info on 1point3acres.com
Other:
One Acre Fund 。Agriculture nonprofit
Pangaea Abroad 1-10 employees education management

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 楼主| calalia 发表于 2015-12-21 04:54:03 | 显示全部楼层
Berkeley IEOR MEng
BridgeEdge?

Traditional IE
Navis- software company
Industrial Engineer@ Sandisk*2- large hardware company

Berkeley IEOR Master of Science
Consultant@Capegemini

Berkeley IEOR Phd
SC&logistics@GAP.鏈枃鍘熷垱鑷1point3acres璁哄潧
Algorithm trader@jump trading jump trading has been at the forefront of algorithmic trading since its founding 15 years ago. We pride ourselves on being an industry leader that quietly sets the standard for sophisticated trading strategies. With a strong track record of success through all market conditions, the firm has grown to over 400 people


很多人木有Linkedin
读博的多
没有LInkedin的估计是回国的 感觉回国的多. Waral 鍗氬鏈夋洿澶氭枃绔,
方向可以看出来 比较传统的物流/supply chain比较多. From 1point 3acres bbs
industrial Engineer是很传统的IE工作
当然也有做algorithm trading的 UCB资源还是很好 想做这一块去找FE的大大 也是木有问题
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 楼主| calalia 发表于 2015-12-21 05:12:34 | 显示全部楼层
COrnell IEOR Meng 2015/5毕业的
job placement: close to 60%

1)Consultant at Axtria - Ingenious Insights  Management Consulting  501-1000 employees  (top公立海本)
2)Data Scientist at LogicNow  (top公立海本) 公司信息:Help desk 201-500 employees ;SaaS. 27M raised.LogicNow is a cloud based customer service platform that lets companies manage customer emails, web support and twitter communication.
3) Supply chain at UPS (top公立海本)
4) 精算@ Aon Hewitt 人力资源public company HR Benefits Consulting and Outsourcing
5)E. & J. Gallo Winery 葡萄酒公司 * 2
中间吐槽一下 OMG好多美女!


top 公立海本定义 Gatech Umich UT UIUC 等等
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 楼主| calalia 发表于 2015-12-21 05:17:08 | 显示全部楼层
UT Austin ORIE好不好就业?
sorry木有数据. 涓浜-涓夊垎-鍦帮紝鐙鍙戝竷

14年入学的人之前 中国人少于5个 大部分人都读博 不找工作-google 1point3acres
14届的还木有毕业
. visit 1point3acres.com for more.
--------------------------------------------.鐣欏璁哄潧-涓浜-涓夊垎鍦
感觉大家申的比较火的就这几个了
upenn SE不属于本版 懒得查了
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平行度纪检员 发表于 2015-12-23 17:00:50 | 显示全部楼层
怎么没人关注?又来干货了,顶一个!!!!
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SOLONG09 发表于 2015-12-24 01:04:20 | 显示全部楼层
报告楼主!想了解密歇根安娜堡的OR!求贴!!
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 楼主| calalia 发表于 2015-12-24 01:17:59 | 显示全部楼层
SOLONG09 发表于 2015-12-23 11:04
报告楼主!想了解密歇根安娜堡的OR!求贴!!

哦哦 我去看看 我就记得有个去亚马逊做数据科学的大神
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 楼主| calalia 发表于 2015-12-24 10:17:08 | 显示全部楼层
SOLONG09 发表于 2015-12-23 11:04
报告楼主!想了解密歇根安娜堡的OR!求贴!!

IE专排里已知的就业好的

Gatech fall2014已经毕业了 中国人就业率100%
UT austin公司多 项目人少 大小公司的都有 大部分都是IT 虽然大家这届还没毕业 但是dell apple Deloitte Goldman Sachs Microsoft FB Google Indeed 各种面试都有 出名的小公司也很多 毕竟硅丘 学校上又木有竞争对手 今年好像扩招了
另外普度和UIUC没有查过 但是靠近芝加哥肯定不会差 chicago也是个好学校少 工作多的地方
另外 UW USC适合转CS USC有直接去FB的 LA公司也不少 虽然这俩学校录取标准低一些

MEM的话 最好的dartmouth 经济危机的时候中国人placement都100%
其次Duke 北卡金三角
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 楼主| calalia 发表于 2015-12-24 10:34:40 | 显示全部楼层

aha 看了一下你的背景 感觉你很适合去gatech啦
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wlfjqcj 发表于 2015-12-24 13:52:49 | 显示全部楼层
calalia 发表于 2015-12-24 10:34
aha 看了一下你的背景 感觉你很适合去gatech啦

如果最后我申的学校都中了,应该会在gatech和uta中选一个吧
觉得自己还是对供应链和数据分析这一块比较感兴趣
顺便问一句
dartmouth就业真的这么好吗
貌似地理位置很村
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wlfjqcj 发表于 2015-12-24 14:34:21 | 显示全部楼层
calalia 发表于 2015-12-24 10:34. 涓浜-涓夊垎-鍦帮紝鐙鍙戝竷
aha 看了一下你的背景 感觉你很适合去gatech啦
. Waral 鍗氬鏈夋洿澶氭枃绔,
另外想问问学姐,gatech OR好就业吗
gatech强是强在IE,还是整个IEOR,包括analytics都很强呢
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tiany12 发表于 2015-12-24 17:11:18 | 显示全部楼层
太良心了,感觉可以做ps里的career goal的参考
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 楼主| calalia 发表于 2015-12-24 23:52:46 | 显示全部楼层
wlfjqcj 发表于 2015-12-24 00:34
另外想问问学姐,gatech OR好就业吗
gatech强是强在IE,还是整个IEOR,包括analytics都很强呢

刚躺着在Pad上码了好多字 都被我一抹点费了。。。。我还是起来码
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 楼主| calalia 发表于 2015-12-25 00:09:26 | 显示全部楼层
wlfjqcj 发表于 2015-12-23 23:52
如果最后我申的学校都中了,应该会在gatech和uta中选一个吧
觉得自己还是对供应链和数据分析这一块比较 ...

那就是供应链物流。 还是IT数据分析 选一个的问题
Gatech去向都是供应链物流 USPS UPS Fedex Amazon物流 还有快消物流 PG Walmart 可口可乐啥的

IT的话 就地里码农报面经的那些 其中的大公司 Startup的数据分析运营啥的肯定要有经验的 去大公司呆几年差不多也能去了 而且很多还没开始招这方面 像Uber 就有了

Dart招人严格 班小 据说当年30多人 所以学校转的机会可以Cover每个人的工作吧 虽然村但是Tuck校友很强 项目好像会给每个人安排好几个校友Mentor 都是大公司的中高层 据说有GE 一开始跟我推荐这项目的学长在经济最差的时候都找到了大公司工作 工作了几年回国做了一段时间咨询 然后现在自己创业还挺成功。Dart算的上是半个精英项目啦 至少我认识的几个Dart的人都是精英气质
. 涓浜-涓夊垎-鍦帮紝鐙鍙戝竷
最近的 13届有毕业出来直接在硅谷Top30大公司做Analyst的学姐 也有毕业以后做了一段时间实习 然后在我奥村找到IT数据分析的
你看康奈尔也是个村 但是帖子里的就业 都挺好的 康藤和Dart毕竟藤校 哥大是因为已经扩招太多年 花街大行 还有德勤MBB 不是太想🐦他们 不过花街很多其他的金融咨询 肯定是可以去的
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 楼主| calalia 发表于 2015-12-25 00:10:13 | 显示全部楼层
. 涓浜-涓夊垎-鍦帮紝鐙鍙戝竷
前几天看了 我喜欢这电影。你头像那个
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