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undergrad degree for quant?

ive got a slight issue, idk where to apply or what for. ive heard math is the best with a masters for quant (aiming to go into quantitative analytics) so im gna do an integrated masters undergrad. should i be doing math alone or maths with stats or maths with cs? apparently LSE is the best for breaking into quant but they dont do IMs and their maths dept isnt all that (so ive heard).
im looking to apply to COWI (i have the grades for it), i just dont know which ones and for what course. do employers look at the uni you went to when hiring or is it just the skills that u get from the course? also ive heard people talking about quantitative courses but idk what that means so clarity on that would be helpful.
im most likely gna do CQF later on cus masters postgrad gets expensive
any help would be appreciated :smile:
(edited 3 weeks ago)

Reply 1

The name of the uni plays a big part due to CV screening, COWI is your best shot (not saying LSE isn’t a good option but it’s not tier 1 for quant like COWI) as most firms recruit from there. For courses that aren’t elite you should leverage a 1st in them to get into an elite masters.

For picking courses maths and stats would be good. Look for through modules for subjects like:

Stochastic processes
Linear algebra
Probability theory
Financial maths
Game theory
And many more I can’t be bothered listing them all (maybe ask chat GPT)

Reply 2

Any subject with a science or maths focus is considered a 'quants' subject e.g. Chemistry, Physics, Engineering, Maths. You do not have to study quants at uni to be considered for quants jobs in industry. My friend did a physics degree at Warwick became a trader.

The top consultancy firms (McKinsey, PwC etc) and investment banks (JP Morgan, Citibank etc) recruit from Oxbridge, LSE and Imperial mainly. Yes other unis get a look in but there definately a pecking order. Better for you to go to LSE and study one of their quants degrees - data science, econometrics & mathematical economics, actuarial science etc.

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