Hi everyone,

I am currently working as a Data Scientist at a top bank (mostly on the Operations side doing NLP). My inclination lies towards quant research (mostly utilizing ML/DL for investment research). Although I am sort of convinced about taking an MFE course, I want to reassess my decision. The major trigger is probably the curriculum which involves 1-2 ML/DL courses, and the rest of the curriculum is focused on math/finance. Also, as pointed out by a lot of folks here, and MFE won't lead directly to investment research. It involves a heavy coding background, as well as top-notch math skills to enter the quant research/trading jobs.

I am looking at the following options:

1. Operations Research - This looks like an ideal program involving a lot of math and computation. However, many have pointed out that this is a "mile wide but not a mile deep". I'm not completely sure how this could be a problem if one streamlines the curriculum according to the research interests.

2. Applied Mathematics - Too theoritical (less programming component), and I'm not sure if I'll even get in because my undergrad major is Telecommunications Engineering

3. MFE

Alternatively, if someone can provide some guidance on the basis of industry status-quo it'll be of great help. Thanks!

I am currently working as a Data Scientist at a top bank (mostly on the Operations side doing NLP). My inclination lies towards quant research (mostly utilizing ML/DL for investment research). Although I am sort of convinced about taking an MFE course, I want to reassess my decision. The major trigger is probably the curriculum which involves 1-2 ML/DL courses, and the rest of the curriculum is focused on math/finance. Also, as pointed out by a lot of folks here, and MFE won't lead directly to investment research. It involves a heavy coding background, as well as top-notch math skills to enter the quant research/trading jobs.

I am looking at the following options:

1. Operations Research - This looks like an ideal program involving a lot of math and computation. However, many have pointed out that this is a "mile wide but not a mile deep". I'm not completely sure how this could be a problem if one streamlines the curriculum according to the research interests.

2. Applied Mathematics - Too theoritical (less programming component), and I'm not sure if I'll even get in because my undergrad major is Telecommunications Engineering

3. MFE

Alternatively, if someone can provide some guidance on the basis of industry status-quo it'll be of great help. Thanks!

Last edited: