Maths and Economics VS Maths with Data Science

Hello monkeys!

I am fortunate enough to big holding an offer from the LSE. I am allowed to switch to any course within the mathematics department, but I officially 'hold' the offer for Maths with Data Science.

Maths and Economics has a lot of econometrics (as well as standard micro/macro economics), where as Maths with Data Science has a lot more programming and algorithms (and more maths modules too). Both are highly flexible in the final year.

I was wondering which would be more valued for trading - from what I know:

On one hand being knowledgeable in how the economy works is helpful for macro trading, and HF/PT shops value econometric analysis.

On the other hand, being versed in programming is a requirement for the majority of quant shops. 

For S&T, does it make much of a difference?

Comments (5)

  • Intern in HF - EquityHedge

Had a SA offer at GS for s&t studying a degree that isn't that mathsy (still stem tho). Doesn't make a difference in terms of recruiting tbh.

Depending on hedge fund strategy mathsy degrees aren't really important, I'm assuming you're targeting discretionary macro or quant which I have 0 xp w so can't rly answer; for L/S hedge funds it doesn't matter - interning at one and it's not that mathsy tbh

qualea, what's your opinion? Comment below:

Have experience at both s&t/systematic HFs.

for snt doesnt really matter, quant hfs latter no brainer. Fully systematic funds really dont consider economics, finance majors seriously. 

hotdeaths, what's your opinion? Comment below:

Thanks for the response.

My only concern with the latter is that Maths at the LSE isn't generally as well recognised compared to Oxbridge/Imperial maths (which I got rejected from). Does 'prestige' matter in this context?

Mitchy, what's your opinion? Comment below:

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