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Joint Maths And Economics - Enough maths for quant work/masters?

I had a couple of questions regarding a joint Maths and Economics degree (at the LSE if it matters).

1) Looking at the modules, there are a lot of traditional 'quant' modules. Lots of free options too, where I can pick relevant modules that are missing from the set course. However, there are still many modules that look good that cannot be taken. For example, in Year 2, I have to pick between econometrics 2 (time series analysis) and differential equations. Both are super interesting, but I will have to pick it up as a free module choices, meaning I cannot take options such as Stochastic Processes. Aside from programming (which I am confident in picking up in my free time), there are a few key modules that it seems I simply cannot pick. How stringent is the recruitment process in the quant trader/researcher sphere? Will I be significantly decreasing my chances in the industry by picking such a degree?

2) Kind of similar to 1). Does a joint degree teach enough mathematics to warrant a place on a mathematical based masters? If the answer to 1) is "Very likely to hinder your chances", then it makes sense to try get further education, whether that be through a MFE, Mathematical Finance or Advanced Stats masters/PHD. However, this is only plausible if, of course, a joint degree is acceptable as a pre-requisite course. I have had a look at a lot of masters, and it is unclear to me the exact requirements. It normally states 'a highly quantitative subject' (particularly the Mathematical Finance courses), but does not go any further.

Any advice is much appreciated.

Thank you.
Same question I have here.
Reply 2
Original post by crashcody
I had a couple of questions regarding a joint Maths and Economics degree (at the LSE if it matters).
1) Looking at the modules, there are a lot of traditional 'quant' modules. Lots of free options too, where I can pick relevant modules that are missing from the set course. However, there are still many modules that look good that cannot be taken. For example, in Year 2, I have to pick between econometrics 2 (time series analysis) and differential equations. Both are super interesting, but I will have to pick it up as a free module choices, meaning I cannot take options such as Stochastic Processes. Aside from programming (which I am confident in picking up in my free time), there are a few key modules that it seems I simply cannot pick. How stringent is the recruitment process in the quant trader/researcher sphere? Will I be significantly decreasing my chances in the industry by picking such a degree?
2) Kind of similar to 1). Does a joint degree teach enough mathematics to warrant a place on a mathematical based masters? If the answer to 1) is "Very likely to hinder your chances", then it makes sense to try get further education, whether that be through a MFE, Mathematical Finance or Advanced Stats masters/PHD. However, this is only plausible if, of course, a joint degree is acceptable as a pre-requisite course. I have had a look at a lot of masters, and it is unclear to me the exact requirements. It normally states 'a highly quantitative subject' (particularly the Mathematical Finance courses), but does not go any further.
Any advice is much appreciated.
Thank you.

With regards to the second question Id imagine youd be just as competitive as anyone from Physics, Engineering, Mathematics etc. This is from someone who did a joint bachelors in Maths and Econ and had no issues applying for Statistics masters. Given the amount of statistics youll do across Econometrics and the Maths modules youd arguably be more competitive than those from Physics and Engineering etc.

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