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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. |
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