u/Outside-Bear-6973

Hi, I’m a sophomore in college and am almost done with my cs degree. I originally planned on adding a double major in math, but I feel like it’s not worth to do if I can just learn it on my own + ai can already do well on high level maths. So I’m thinking of applying to the engineering school and double majoring in EE. I think EE is genuinely worth the money and will give me a unique skill set although id be graduating a year late. So here are my options:

Plan A: cs/math, graduate on time

Plan B: cs/ee, graduate a year late

Plan C: cs, graduate a year early and do an accelerated masters in data science or statistics

My problem is I feel like theoretical degrees aren’t that useful as applied degrees simply cause ai can easily do theoretical stuff for you on the job.

Which path do you think is worth it?

Career wise, I wanna go into the software or hardware of anything ML/AI related — whether it be a Machine Learning/AI Engineer at a big tech company or a Perceptions Engineer at a hardware one, etc.

Thanks for the advice.

Hi, I’m a sophomore in college and am almost done with my cs degree. I originally planned on adding a double major in math, but I feel like it’s not worth to do if I can just learn it on my own + ai can already do well on high level maths. So I’m thinking of applying to the engineering school and double majoring in EE. I think EE is genuinely worth the money and will give me a unique skill set although id be graduating a year late. So here are my options:

Plan A: cs/math, graduate on time

Plan B: cs/ee, graduate a year late

Plan C: cs, graduate a year early and do an accelerated masters in data science or statistics

My problem is I feel like theoretical degrees aren’t that useful as applied degrees simply cause ai can easily do theoretical stuff for you on the job.

Which path do you think is worth it?

Career wise, I wanna go into the software or hardware of anything ML/AI related — whether it be a Machine Learning/AI Engineer at a big tech company or a Perceptions Engineer at a hardware one, etc.

Thanks for the advice.

Hi, I’m a sophomore in college and am almost done with my cs degree. I originally planned on adding a double major in math, but I feel like it’s not worth to do if I can just learn it on my own + ai can already do well on high level maths. So I’m thinking of applying to the engineering school and double majoring in EE. I think EE is genuinely worth the money and will give me a unique skill set although id be graduating a year late. So here are my options:

Plan A: cs/math, graduate on time

Plan B: cs/ee, graduate a year late

Plan C: cs, graduate a year early and do an accelerated masters in data science or statistics

My problem is I feel like theoretical degrees aren’t that useful as applied degrees simply cause ai can easily do theoretical stuff for you on the job.

Which path do you think is worth it?

Career wise, I wanna go into the software or hardware of anything ML/AI related — whether it be a Machine Learning/AI Engineer at a big tech company or a Perceptions Engineer at a hardware one, etc.

Thanks for the advice.

Hi, I’m a sophomore in college and am almost done with my cs degree. I originally planned on adding a double major in math, but I feel like it’s not worth to do if I can just learn it on my own + ai can already do well on high level maths. So I’m thinking of applying to the engineering school and double majoring in EE. I think EE is genuinely worth the money and will give me a unique skill set although id be graduating a year late. So here are my options:

Plan A: cs/math, graduate on time

Plan B: cs/ee, graduate a year late

Plan C: cs, graduate a year early and do an accelerated masters in data science or statistics

My problem is I feel like theoretical degrees aren’t that useful as applied degrees simply cause ai can easily do theoretical stuff for you on the job.

Which path do you think is worth it?

Career wise, I wanna go into the software or hardware of anything ML/AI related — whether it be a Machine Learning/AI Engineer at a big tech company or a Perceptions Engineer at a hardware one, etc.

Thanks for the advice.

Hi, I’m a sophomore in college and I’ve been going back and forth. Currently, I’m a cs and math major, but I wanna learn something that’s hard to learn outside of school. I feel like math is easier to learn independently than say CE or EE. Right now, I for sure wanna work in AI/ML — whether it be pure software or working with hardware such as robotics. What would be the best major combo to achieve this, CS/CE or CS/EE? If I do the former, I’d graduate a semester late. If I do the latter, I’d graduate a year late. But I also wanna study abroad which means for both I’d graduate a year late.

Would this be a wise move or should I keep doing CS/Math? I’m fine with doing software ML but I feel like much of it is automated by AI.

Also, is it bad to graduate a year late if I switch to CS/CE or CS/EE?

Hi, I’m a sophomore in college and I’ve been going back and forth. Currently, I’m a cs and math major, but I wanna learn something that’s hard to learn outside of school. I feel like math is easier to learn independently than say CE or EE. Right now, I for sure wanna work in AI/ML — whether it be pure software or working with hardware such as robotics. What would be the best major combo to achieve this, CS/CE or CS/EE? If I do the former, I’d graduate a semester late. If I do the latter, I’d graduate a year late. But I also wanna study abroad which means for both I’d graduate a year late.

Also, is it bad to graduate a year late if I switch to CS/CE or CS/EE?

Thanks for your advice.