4 ms·

Pretty cool. It’s funny. Several times in my life I’ve seen the resumes of older people (70/80s) and they’ll have some generic degree that doesn’t exist today.

Pretty cool. It’s funny. Several times in my life I’ve seen the resumes of older people (70/80s) and they’ll have some generic degree that doesn’t exist today. I wonder if 50 years from now kids will look at our CS degrees like that.

3rdAccount 8y ago
Why I left the nano engineering program super fast. Come to find out, nobody hires for that. You can go into research only. While a traditional engineering degree can do research or thousands of jobs.
- throwawaymath 8y ago
  A traditional engineering degree at the BSc level does not do research. Any exceptions you can think of are rare and have more to do with the individual than the degree.
  - 3rdAccount 8y ago
    I disagree. You can do research in industry. It just probably won't be the kind that gets published. But yea, I meant to point out that after a Masters or PhD, there is still a ton of research in EE, civE, ME, chemE, biomed, and even IE, but there is also tons of industry jobs. Not so much in the fad fields. Even nanotech companies would rather a chemE.
- PascLeRasc 8y ago
  This degree is meant for the ML high school virtuosos who know they'll be going on to grad school, just like a pre-med program. All the seven people from my undergrad's engineering physics program are in PhD programs now and I'd suspect your nanoengineering program has a similar trajectory.
  - 3rdAccount 8y ago
    Yea, but the problem is a lot of students coming out of highschool don't know that and don't learn it until it is too late. That needs to be explained up front.
autokad 8y ago
I kind of have a problem with an BS in AI. the degree itself proves no edge over a BS in com sci / stats / etc. when applying for graduate programs, and there are very few positions in the field that would hire someone that was not a masters or PHD. However the same BS in AI isn't as applicable to other said undergrad majors. seems like someone would be limiting their options for little gains.
- sjg007 8y ago
  Looks like a CS core with a stronger math and stats component than the traditional CS degree. Then add in some extra AI courses (which wouldn't have really existed years ago as separate classes -- maybe 1 undergrad and a grad course in AI). Now you can do computer vision or NLP as classes in themselves. So it actually looks harder than a traditional CS major.
- rococode 8y ago
  I wonder if it's a matter of time? Right now people only hire for masters or PhD, but perhaps that's because most CS bachelor's don't give a sufficient understanding of AI/ML for those jobs. As more AI-specific programs are developed by reputable CS schools such as CMU we may see that change and employers be more willing to accept BS degrees.

3rdAccount 8y ago

Why I left the nano engineering program super fast. Come to find out, nobody hires for that. You can go into research only. While a traditional engineering degree can do research or thousands of jobs.

throwawaymath 8y ago
A traditional engineering degree at the BSc level does not do research. Any exceptions you can think of are rare and have more to do with the individual than the degree.
- 3rdAccount 8y ago
  I disagree. You can do research in industry. It just probably won't be the kind that gets published. But yea, I meant to point out that after a Masters or PhD, there is still a ton of research in EE, civE, ME, chemE, biomed, and even IE, but there is also tons of industry jobs. Not so much in the fad fields. Even nanotech companies would rather a chemE.
PascLeRasc 8y ago
This degree is meant for the ML high school virtuosos who know they'll be going on to grad school, just like a pre-med program. All the seven people from my undergrad's engineering physics program are in PhD programs now and I'd suspect your nanoengineering program has a similar trajectory.
- 3rdAccount 8y ago
  Yea, but the problem is a lot of students coming out of highschool don't know that and don't learn it until it is too late. That needs to be explained up front.

autokad 8y ago

I kind of have a problem with an BS in AI. the degree itself proves no edge over a BS in com sci / stats / etc. when applying for graduate programs, and there are very few positions in the field that would hire someone that was not a masters or PHD. However the same BS in AI isn't as applicable to other said undergrad majors. seems like someone would be limiting their options for little gains.

sjg007 8y ago
Looks like a CS core with a stronger math and stats component than the traditional CS degree. Then add in some extra AI courses (which wouldn't have really existed years ago as separate classes -- maybe 1 undergrad and a grad course in AI). Now you can do computer vision or NLP as classes in themselves. So it actually looks harder than a traditional CS major.
rococode 8y ago
I wonder if it's a matter of time? Right now people only hire for masters or PhD, but perhaps that's because most CS bachelor's don't give a sufficient understanding of AI/ML for those jobs. As more AI-specific programs are developed by reputable CS schools such as CMU we may see that change and employers be more willing to accept BS degrees.