- Joined
- 9/1/21
- Messages
- 47
- Points
- 18
Hi everyone!
I am currently completing my third and final year of undergrad at a top London University (think Imperial, UCL, LSE) studying Mathematics with Economics (degree is comprised of 75% math and 25% economics), and currently in the midst of applications to top MFE and MSF programs in the US and the UK.
GPA: 1st Class Honours (71% average), equivalent to a 3.7/3.8 GPA for you fellow Americans (according to charts online, correct me if I'm wrong)
GRE: 168Q 159V
Work Experience: 2 months finance internship in continental Europe this past summer. The reason that I only have this one is that I only got 2 summers during undergrad (as I'm doing a 3 year program), and one of those summers was consumed by COVID.
Status: US Citizen/Permanent Resident in the US
Relevant Coursework: Lots of Linear Algebra, lots of Probability and Statistics, and lots of various applied mathematics. I am also currently taking a Machine Learning and Data Science course (at the Masters level), an Asset Pricing Course, and will be taking a Financial Maths course next semester.
Also took a Corporate Finance course run in partnership with the Columbia Business School - ICCF
Programming: I have some experience programming in Python with past courses (and have done a few small projects on my own), however I'm currently learning a lot through my current Machine Learning course.
For MFE:
Picks for MSF:
I also need to work in the US for personal reasons, which explains my almost exclusive choice of US programs.
My questions are should I retake the GRE to increase my Quant score? From what I understand it's not high enough for the cream of the crop MFE programs. What about the "quanty" MSF programs (like MIT and Princeton)?
Do I stand a chance for those top MFE and the few MSF programs given my relatively low experience in Finance? Should I aim for lower tier programs?
Thanks a lot!
I am currently completing my third and final year of undergrad at a top London University (think Imperial, UCL, LSE) studying Mathematics with Economics (degree is comprised of 75% math and 25% economics), and currently in the midst of applications to top MFE and MSF programs in the US and the UK.
GPA: 1st Class Honours (71% average), equivalent to a 3.7/3.8 GPA for you fellow Americans (according to charts online, correct me if I'm wrong)
GRE: 168Q 159V
Work Experience: 2 months finance internship in continental Europe this past summer. The reason that I only have this one is that I only got 2 summers during undergrad (as I'm doing a 3 year program), and one of those summers was consumed by COVID.
Status: US Citizen/Permanent Resident in the US
Relevant Coursework: Lots of Linear Algebra, lots of Probability and Statistics, and lots of various applied mathematics. I am also currently taking a Machine Learning and Data Science course (at the Masters level), an Asset Pricing Course, and will be taking a Financial Maths course next semester.
Also took a Corporate Finance course run in partnership with the Columbia Business School - ICCF
Programming: I have some experience programming in Python with past courses (and have done a few small projects on my own), however I'm currently learning a lot through my current Machine Learning course.
For MFE:
- Columbia (top choice for MFE)
- Carnegie Mellon
- Baruch
- Berkeley
- ... and more (most of the top 10 on QuantNet's ranking)
Picks for MSF:
- MIT (top choice for MSF)
- Princeton
- Vanderbilt
- Georgetown?? (Have heard mixed reviews about it)
- LSE, Oxford, LBS, HEC
- WashU and USC (to a lesser extent)
I also need to work in the US for personal reasons, which explains my almost exclusive choice of US programs.
My questions are should I retake the GRE to increase my Quant score? From what I understand it's not high enough for the cream of the crop MFE programs. What about the "quanty" MSF programs (like MIT and Princeton)?
Do I stand a chance for those top MFE and the few MSF programs given my relatively low experience in Finance? Should I aim for lower tier programs?
Thanks a lot!