University Choice for QR/QT
Hi all,
I'm interested in quantitative finance (1st priority) among ib/mbb (2nd/3rd), and I am coming to decide what courses at what universities I'd like to apply for, with my fields of interest in mind.
I understand that there is a large weighting toward STEM candidates within fields like quant research / trading, something not so common in corporate finance (i.e. have seen people take a variety of degrees).
I wanted to know your thoughts on choosing between the following, with that in mind:
- St. Andrews (A semi-target?) - doing a MMaths or Statistics degree.
- UCL (Target) - doing a Social Science w/ Data Science (Watered down degree) / History, Politics & Economics degree.
I'm going to assume that for Quant it'd be much better for St. Andrews given the notorious rigour in Maths degrees + STEM candidates. Although, I'm struggling to understand how much the target/semi-target label would affect my chances at breaking into Quant, if I were to choose a less rigorous course at UCL - as the social science with data science course is watered down with non-desirable social science modules i.e. sociology - I would assume it to be near impossible here.
My opinion would be to go for St. Andrews for the best chances - but I would like to seek out some other opinions to see your thoughts, also.
Would love to hear any thoughts. Thanks!
Truth is that quant is much harder to break in; as such you really need to got to a top top uni and study maths (or physics / other quantitative heavy engineering/cs subject). In general this would be cambridge, oxford, imperial, and warwick for Maths. and just the first 3 for physics/engineering/CS.
While I agree, I've seen some have got in with doing a good STEM degree at an unknown university for undergrad, and then supplementing their profiles by going to a target/better known for an equally quantitative/STEM masters degree (as you mention oxb, imperial, w'wick, among other universities like UCL - targets for IB).
So I'm still not entirely sure; wondering what my odds are like from both perspectives.
Tempora distinctio in saepe vel. Veritatis sunt maiores inventore fugiat et magni at.
Ea temporibus possimus eligendi odit voluptates. Accusamus sed illo ad quasi cupiditate. Qui aliquid sunt dolore qui nihil. Ut aut qui atque culpa corporis architecto. Numquam quo cumque aut sint sit quis ut.
See All Comments - 100% Free
WSO depends on everyone being able to pitch in when they know something. Unlock with your email and get bonus: 6 financial modeling lessons free ($199 value)
or Unlock with your social account...