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发表于 2015-1-13 02:28:54
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本帖最后由 cheesechan 于 2015-1-13 02:42 编辑
陈筱蓝 发表于 2015-1-13 02:01 
其实是看到几个比较喜欢的学校applied mathematics最后是教做derivatives,觉得学得比较技术性,以后出来 ...
basically you are targeting into quantitatie fina / financial mathematics, MFE.
最最基本要有calculus, lin algebra, prob stat, regression, 但這個正常只夠those MFE offered by business school, which focus more on business/finance side rather than mathematical modeling and proofs.
大多數真正夠硬, 可以place to quantitative related role的MFE, 你的數理背景是很難申得上的.
ODE, Numerical Analysis, Stochastic Process, Time Series等等好幾個最核心的課程你一個也沒有, programming 到year 3還是在玩SPSS就算了吧 (如果之前不懂 R / MATLAB / equivalent的話, 之後就開心了.....)
歐陸最硬最top的master in quant fina, just to list some, 你可以看看, 之後便明白了.
e.g. Paris VI M2 prob and fina, ETH MQF, also have a look in EPFL MFE, Imperical MSc Math Fina, Oxford MSc Comp Math Fina. Look at their mathematics requirement.....
就算你向後找, 也對mathematics有相類似的要求, 最最最少是要econ/fina degree with lots of math/stat.
at the end this is not only the requirement by the school, but indeed the requirement by the field, both acdemically and on the job.
one thing more important is, 這一行的對口工作岡位不多, 通常只有大金融機構才有需要, i.e. you have to get into a really good, or at least decent 的 university / program, else 入行無限接近impossible.
這樣說法或許有一點殘酷:
就是當某君在本科時沒有選某些課目, 他以後想再走這一條路, 很難.
especially mathematics is something better to be learnt when young, 而不像某些學科般在有更多人生經驗後更易研讀.
basically, when you choose to do your bachelor in a pure business school, 你的人生已經遠離了really solid quantitative finance. 之後要N倍的努力才能讀回.
比較技術性的岡位, 是留給本科讀數學, 物理, CS之類的人做的; business school的人, 絕大多數幹不了, 亦不想幹.
多讀一年bachelor / grad dip will be a joke in most case.
建議你申幾家decent的business school的Master in Finance, which have the flexible in the program structure (這樣你可以選擇一些較quantitative的課程, 但admission requirmeent 不會太數學).
what come to my mind in the first minute includes: Imperical MSc Fina (or RMFE), Bocconi MS Fina, HSG MBF, SSE Master Fina (investment)
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