BTT
BlackRock Municipal 2030 Target Term Trust
stock NYSE Closed Ended Fund

I made a plan to break into quant while being from non target school, I was wondering if my plan is solid? Please give real advice
I decided that I wanted to pursue quant dev because my mental math is not fast enough and because quant dev has swe roles for fallback.
The major I chose was CS(incls basic math anyways: lin alg, multivar calc, prob/stats basic), I considered adding another of the following majors: Data Science, Pure math, or applied math but realized it would extend my graduation time likely because I am already participating in BTT AI program. However I will be choosing classess or electives that allow me to do research in either cs or math and also learn some machine learning. That way I can support MLE as a fallback aswell due to BTT AI program which I heard people do well with after.
In the time I freed up due to not doing double major I would allocate it to leetcode and other practice that should prepare me for quant dev or swe in big tech. My main programming languages will be python and c++ only. Also due to lighter courseload I intend to take classes such that I learn and understand rather than just getting a good grade.
I will also use that extra time to build personal projects which actually interest me and also partake in coding competitions. I will also take putnam exam but not sure how well I will do
Since I am at a cuny, non target school. I was wondering if this plan is solid or should I make any changes?
thanks!

I made a plan to break into quant while being from non target school, I was wondering if my plan is solid? Please give real advice
I decided that I wanted to pursue quant dev because my mental math is not fast enough and because quant dev has swe roles for fallback.
The major I chose was CS(incls basic math anyways: lin alg, multivar calc, prob/stats basic), I considered adding another of the following majors: Data Science, Pure math, or applied math but realized it would extend my graduation time likely because I am already participating in BTT AI program. However I will be choosing classess or electives that allow me to do research in either cs or math and also learn some machine learning. That way I can support MLE as a fallback aswell due to BTT AI program which I heard people do well with after.
In the time I freed up due to not doing double major I would allocate it to leetcode and other practice that should prepare me for quant dev or swe in big tech. My main programming languages will be python and c++ only. Also due to lighter courseload I intend to take classes such that I learn and understand rather than just getting a good grade.
I will also use that extra time to build personal projects which actually interest me and also partake in coding competitions. I will also take putnam exam but not sure how well I will do
Since I am at a cuny, non target school. I was wondering if this plan is solid or should I make any changes?
thanks!