I’m majoring in CS (SWE) and math. I’m debating on which math concentration I should go for. I’m looking for a software engineering role in the future and maybe transition to machine learning engineer after doing my masters in ML.
for DS, i need applied algebra, optimization (taking anyway, regardless), mathematical stats, numerical linear algebra, and a capstone course left.
for stats, i need like 3 applied stats classes, real analysis, mathematics stats, and elementary stochastic processes left.
honestly don’t know which to concentrate in, but doing the DS one would require less credit hours.
submitted by /u/StaySaucey_
[link] [comments]
r/cscareerquestions I’m majoring in CS (SWE) and math. I’m debating on which math concentration I should go for. I’m looking for a software engineering role in the future and maybe transition to machine learning engineer after doing my masters in ML. for DS, i need applied algebra, optimization (taking anyway, regardless), mathematical stats, numerical linear algebra, and a capstone course left. for stats, i need like 3 applied stats classes, real analysis, mathematics stats, and elementary stochastic processes left. honestly don’t know which to concentrate in, but doing the DS one would require less credit hours. submitted by /u/StaySaucey_ [link] [comments]
I’m majoring in CS (SWE) and math. I’m debating on which math concentration I should go for. I’m looking for a software engineering role in the future and maybe transition to machine learning engineer after doing my masters in ML.
for DS, i need applied algebra, optimization (taking anyway, regardless), mathematical stats, numerical linear algebra, and a capstone course left.
for stats, i need like 3 applied stats classes, real analysis, mathematics stats, and elementary stochastic processes left.
honestly don’t know which to concentrate in, but doing the DS one would require less credit hours.
submitted by /u/StaySaucey_
[link] [comments]