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[录取汇报] 楼主选择困难症求大家的帮助( CUHK msf/ LSE msfstat / HKUST msfm)

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291#
发表于 2017-1-18 22:38:51 | 只看该作者
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292#
发表于 2017-1-18 23:00:07 | 只看该作者
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293#
发表于 2017-1-19 00:37:53 | 只看该作者
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294#
 楼主| 发表于 2017-1-19 11:17:47 | 只看该作者
livebelieve 发表于 2017-1-18 21:47
其实好像都差不多  但是想在香港工作首选香港吧。。。。其实看了投票结果好多人叫你选统计。。。。我感觉你 ...

是啊是啊!那你觉得IC的那个项目还有NUS的怎么样呢?和港科的金数比?
295#
发表于 2017-1-21 07:18:26 | 只看该作者
可不可以请教lz HKUST金数面了哪些专业问题呀?我过两周也是郭面的= =
296#
 楼主| 发表于 2017-1-21 10:46:01 | 只看该作者
cheesechan 发表于 2017-1-12 17:01
ok, first question:
imagine you have both on hand, which one you will go with?
1. LSE MSc Fina Sta ...

Oh less than a week to decide and choose...

I have checked the course list of these four programs again and ask myself again and again.
You said the RMFE in IC is too "finance", so I want to know your perspective towards this program ( the course, the career development, the cost performance and so on), because for me the difficulty of this program seem to be suitable... I am afraid the FM in HKUST and the MFE in NUS is too hard for me since I am just a normal girl and do not have any special feeling toward mathematics.
感觉IC的RMFE比较类似LSE的RF(也是我被LSE拒的第一志愿...),课程难度适中,不那么纯金融,也不那么难,但是港科的金数(随机过程和微分,以及C++等很难的编程,不知道自己真正去学的时候会不会吃不消...)

I also want to know how you think about "the difficulty of project acceptance" 项目录取难度. You know I have tried really hard in the past two years to get a high GPA and a GMAT score. And for me the acceptance of LSE or IC is more recognition to my hard work and excellent performance than HKUST or NUS (we can see that from the number of acceptance and the level of your classmates) LSE 全球仅录取25人, 港科金数项目录取超过百人,其中包含很多非211985的学生. I have not persuaded myself yet and I really want to know your perception about this issue.

I am really looking forward to your response! Thanks a lot~
297#
发表于 2017-1-22 01:12:12 | 只看该作者
leeonkei 发表于 2017-1-21 10:46
Oh less than a week to decide and choose...

I have checked the course list of these four programs ...

1. my view is: if you want to learn those stochastic and mathematical modeling in your life, it is better to learn them now. (either HKUST MAFM, or with suitable elective in LSE Stat)
You wont be able to learn it on the job later anyway; and
you will find it more difficult to learn that later in life

of course, if you have a clear idea about your desired career, or you are quite sure that you wont need / want that, then of course you wont want them.

2. LSE's master program has smallest cohort size in general. UK business strategy is to offer many similar program (e.g. some school can have 5 finance master......) with smaller cohort, and then they take the same class......

3. yes, IC RMFE is similar to LSE RF. Some risk + some finance.
it really depends on what you want, but I dont think being female is a reason at all - unless you believe that discrimination like "female have worse math" is a reasonable one...

4. for sure, cohort intake is an issue. I will care about this because of the education effect (the treatment - have better experience when have better classmate), instead of the effort or difficulties of getting in (simply higher grade)
298#
 楼主| 发表于 2017-1-23 00:49:31 | 只看该作者
cheesechan 发表于 2017-1-22 01:12
1. my view is: if you want to learn those stochastic and mathematical modeling in your life, it is  ...

Many thanks for your really patient advice!
I got you. And now the problems are just about what I really want (我是否真的想做模型构建等需要用到随机微分以及编程能力这一类的偏技术型工作呢?) and whether I will feel deep pity for giving up the offers in UK(放弃去LSE这样顶尖的学术殿堂学习的机会是否会让我在以后回想时感到遗憾呢?)
Think ! Think ! God helps me ! (捂脸... 我还真的是满绝望的)
So the last question is :
Imagine you were me, how will you choose? (just say your instinctive thought)
And it will be better if you can say all the reasons for you choice in details.
I believe that you are a  really experienced and rational guy and I really curious about your perspective which will be of great reference.
Thank you again!!!
299#
发表于 2017-1-24 04:47:31 | 只看该作者
leeonkei 发表于 2017-1-23 00:49
Many thanks for your really patient advice!
I got you. And now the problems are just about what I  ...

I guess I will vote for LSE Financial Stat given you are not really sure that you want to be that mathematical. Kind of good mixture of everything.
more global recognized school, solid program structure (though 425 looks a bit too theoretical but the other 3 papers are/can be all useful practical stuffs)
I guess you may think that you will repeat some stuffs (as you have a stat bachelor), and I do agree.
The only solution to this question can be either (1) or (2):
(1) go mathematical. tons of financial engineering model.
(2) go finance. more business class, finance / risk soft course.
Obviously I am a fans of (1), and thus if I were you, I may have put "Risk and Stochastic" or "Financial Mathematics" in LSE as the first choice, instead of Risk and Finance. The logic behind is: (2) is very important for sure, but can be done through auditing courses (soft finance don't need coursework to force one to learn) and self-studying, and can be shown through CFA and FRM, while academics degree is next to the only way to learn (1).

the next question is: is (1) important for risk? I will say yes. Being a specialist in something is important in the field, and this can be quantitative skills, law, and etc...
finance is not in the list actually - finance is not a stand-alone discipline itself; it is an application area. Economics for the theoretical foundation, Statistics for the empirical side, Accounting is on the corporate side, and Law is clearly about regulation and contract related stuffs. Getting finance as the first major is simply just know something in everything, but being beaten by other in every field too. I believe it is better to be specialized rather than all-rounded in the very first stage of career.

of course, if you want a job in HK or SG, (and you are not HK/SG people), then HKUST or NUS will give you an edge in location.
300#
发表于 2017-1-29 18:18:46 | 只看该作者
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