I was wondering what the difference in job prospects were for landing a quant role with a data science + economics (@Berkeley) vs data science + computational finance degree (@CMU)?
Hi, I just got off the waitlist for Berkeley! I have to decide between Berkeley and Carnegie Mellon University though. I got into Data Science for both. I asked a couple days ago too, but I said to ignore cost. However now I want to include that the cost for CMU would be $8-10k less per year than Berkeley. I also added some additional thoughts/questions I have.
Weather, campus, etc of both are fine. Which school would be better career-wise and would give me more opportunities?
I am also interested in business & entrepreneurship, and so both startups and finance seem like things that intrigue me. If I went to CMU, I might double major in Computational Finance. At Berkeley I would try to double major in business (but if not then economics). Berkeley has so many people that it's highly competitive, does this make it harder to get opportunities or jobs/internships?
I've heard that at Berkeley the classes get overcrowded or there isn't space sometimes, and that oftentimes there are TAs teaching instead of the professor. Is that true and how much of a difference does that actually make? Would having more direct professor interaction at CMU lead to a noticeably better education, or does it not make a huge difference in terms of what you actually learn?
These are just some impressions based off what I heard (idk how much of it is true so please correct me or add additional info if needed). CMU seems to offer a more structured path with stronger guidance, whereas Berkeley feels more self-directed and competitive, where you have to network aggressively and create your own opportunities. CMU students may also come from wealthier backgrounds on average (which may help with connections -- I'm not sure. Also not sure how much professor connections help?). But I wonder if Berkeley's environment, forcing you to be more independent and proactive, really becoming a "go-getter" person, might build skills that pay off more long-term in the future and career growth?
Which would you guys recommend? Any insight, any opinions, or any experiences would be highly appreciated. Thank you!!
Hi, I just got off the waitlist for Berkeley! I have to decide between Berkeley and Carnegie Mellon University though. I got into Data Science for both. I asked a couple days ago too, but I said to ignore cost. However now I want to include that the cost for CMU would be $8-10k less per year than Berkeley. I also added some additional thoughts/questions I have.
Weather, campus, etc of both are fine. Which school would be better career-wise and would give me more opportunities?
I am also interested in business & entrepreneurship, and so both startups and finance seem like things that intrigue me. If I went to CMU, I might double major in Computational Finance. At Berkeley I would try to double major in business (but if not then economics). Berkeley has so many people that it's highly competitive, does this make it harder to get opportunities or jobs/internships?
I've heard that at Berkeley the classes get overcrowded or there isn't space sometimes, and that oftentimes there are TAs teaching instead of the professor. Is that true and how much of a difference does that actually make? Would having more direct professor interaction at CMU lead to a noticeably better education, or does it not make a huge difference in terms of what you actually learn?
These are just some impressions based off what I heard (idk how much of it is true so please correct me or add additional info if needed). CMU seems to offer a more structured path with stronger guidance, whereas Berkeley feels more self-directed and competitive, where you have to network aggressively and create your own opportunities. CMU students may also come from wealthier backgrounds on average (which may help with connections -- I'm not sure. Also not sure how much professor connections help?). But I wonder if Berkeley's environment, forcing you to be more independent and proactive, really becoming a "go-getter" person, might build skills that pay off more long-term in the future and career growth?
Which would you guys recommend? Any insight, any opinions, or any experiences would be highly appreciated. Thank you!!
Hi, I just got off the waitlist for Berkeley! I have to decide between Berkeley and Carnegie Mellon University though. I got into Data Science for both. I asked a couple days ago too, but I said to ignore cost. However now I want to include that the cost for CMU would be $8-10k less per year than Berkeley. I also added some additional thoughts/questions I have.
Weather, campus, etc of both are fine. Which school would be better career-wise and would give me more opportunities?
I am also interested in business & entrepreneurship, and so both startups and finance seem like things that intrigue me. If I went to CMU, I might double major in Computational Finance. At Berkeley I would try to double major in business (but if not then economics). Berkeley has so many people that it's highly competitive, does this make it harder to get opportunities or jobs/internships?
I've heard that at Berkeley the classes get overcrowded or there isn't space sometimes, and that oftentimes there are TAs teaching instead of the professor. Is that true and how much of a difference does that actually make? Would having more direct professor interaction at CMU lead to a noticeably better education, or does it not make a huge difference in terms of what you actually learn?
These are just some impressions based off what I heard (idk how much of it is true so please correct me or add additional info if needed). CMU seems to offer a more structured path with stronger guidance, whereas Berkeley feels more self-directed and competitive, where you have to network aggressively and create your own opportunities. CMU students may also come from wealthier backgrounds on average (which may help with connections -- I'm not sure. Also not sure how much professor connections help?). But I wonder if Berkeley's environment, forcing you to be more independent and proactive, really becoming a "go-getter" person, might build skills that pay off more long-term in the future and career growth?
Which would you guys recommend? Any insight, any opinions, or any experiences would be highly appreciated. Thank you!!
Hi, I just got off the waitlist for Berkeley! I have to decide between Berkeley and Carnegie Mellon University though. I got into Data Science for both. I asked a couple days ago too, but I said to ignore cost. However now I want to include that the cost for CMU would be $8-10k less per year than Berkeley. I also added some additional thoughts/questions I have.
Weather, campus, etc of both are fine. Which school would be better career-wise and would give me more opportunities?
I am also interested in business & entrepreneurship, and so both startups and finance seem like things that intrigue me. If I went to CMU, I might double major in Computational Finance. At Berkeley I would try to double major in business (but if not then economics). Berkeley has so many people that it's highly competitive, does this make it harder to get opportunities or jobs/internships?
I've heard that at Berkeley the classes get overcrowded or there isn't space sometimes, and that oftentimes there are TAs teaching instead of the professor. Is that true and how much of a difference does that actually make? Would having more direct professor interaction at CMU lead to a noticeably better education, or does it not make a huge difference in terms of what you actually learn?
These are just some impressions based off what I heard (idk how much of it is true so please correct me or add additional info if needed). CMU seems to offer a more structured path with stronger guidance, whereas Berkeley feels more self-directed and competitive, where you have to network aggressively and create your own opportunities. CMU students may also come from wealthier backgrounds on average (which may help with connections -- I'm not sure. Also not sure how much professor connections help?). But I wonder if Berkeley's environment, forcing you to be more independent and proactive, really becoming a "go-getter" person, might build skills that pay off more long-term in the future and career growth?
Which would you guys recommend? Any insight, any opinions, or any experiences would be highly appreciated. Thank you!!
Hi, I just got off the waitlist for Berkeley! I have to decide between Berkeley and Carnegie Mellon University though. I got into Data Science for both. I asked a couple days ago too, but I said to ignore cost. However now I want to include that the cost for CMU would be $8-10k less per year than Berkeley. I also added some additional thoughts/questions I have.
Weather, campus, etc of both are fine. Which school would be better career-wise and would give me more opportunities?
I am also interested in business & entrepreneurship, and so both startups and finance seem like things that intrigue me. If I went to CMU, I might double major in Computational Finance. At Berkeley I would try to double major in business (but if not then economics). Berkeley has so many people that it's highly competitive, does this make it harder to get opportunities or jobs/internships?
I've heard that at Berkeley the classes get overcrowded or there isn't space sometimes, and that oftentimes there are TAs teaching instead of the professor. Is that true and how much of a difference does that actually make? Would having more direct professor interaction at CMU lead to a noticeably better education, or does it not make a huge difference in terms of what you actually learn?
These are just some impressions based off what I heard (idk how much of it is true so please correct me or add additional info if needed). CMU seems to offer a more structured path with stronger guidance, whereas Berkeley feels more self-directed and competitive, where you have to network aggressively and create your own opportunities. CMU students may also come from wealthier backgrounds on average (which may help with connections -- I'm not sure. Also not sure how much professor connections help?). But I wonder if Berkeley's environment, forcing you to be more independent and proactive, really becoming a "go-getter" person, might build skills that pay off more long-term in the future and career growth?
(I am not leaning towards one or the other, some of those things are just questions or can be considered positives). Which would you guys recommend? Any insight, any opinions, or any experiences would be highly appreciated. Thank you!!
Hi, I just got off the waitlist for Berkeley! I have to decide between Berkeley and Carnegie Mellon University though. I got into Data Science for both. I asked a couple days ago too, but I said to ignore cost. However now I want to include that the cost for CMU would be $8-10k less per year than Berkeley. I also added some additional thoughts/questions I have.
Weather, campus, etc of both are fine. Which school would be better career-wise and would give me more opportunities?
I am also interested in business & entrepreneurship, and so both startups and finance seem like things that intrigue me. If I went to CMU, I might double major in Computational Finance. At Berkeley I would try to double major in business (but if not then economics). Berkeley has so many people that it's highly competitive, does this make it harder to get opportunities or jobs/internships?
I've heard that at Berkeley the classes get overcrowded or there isn't space sometimes, and that oftentimes there are TAs teaching instead of the professor. Is that true and how much of a difference does that actually make? Would having more direct professor interaction at CMU lead to a noticeably better education, or does it not make a huge difference in terms of what you actually learn?
These are just some impressions based off what I heard (idk how much of it is true so please correct me or add additional info if needed). CMU seems to offer a more structured path with stronger guidance, whereas Berkeley feels more self-directed and competitive, where you have to network aggressively and create your own opportunities. CMU students may also come from wealthier backgrounds on average (which may help with connections -- I'm not sure. Also not sure how much professor connections help?). But I wonder if Berkeley's environment, forcing you to be more independent and proactive, really becoming a "go-getter" person, might build skills that pay off more long-term in the future and career growth?
I am not leaning towards one or the other, those are just some questions I have and some things I mentioned could be considered positives. Which would you guys recommend? Any insight, any opinions, or any experiences would be highly appreciated. Thank you!!
Hi, I just got off the waitlist for Berkeley! Now I am having quite a hard time deciding between Berkeley and Carnegie Mellon University though. I got into Data Science for both.
Cost of attendance is not a factor. I can adjust to the weather and location of both. Campus is also fine for both. Which school would be better career-wise and would give me more opportunities?
I am also interested in business, and so both startups and finance seem like things that intrigue me. One concern I have is that Berkeley has so many people that it's highly competitive and there may be a lack of opportunities or jobs/internships.
If I went to CMU, I might double major in Data Science and Computational Finance. Would I be able to double major at Berkeley too for business?
Which would you guys recommend (again ignore cost please)? Any insight, any opinions, or any experiences would be highly appreciated. Thank you!!
Hi, I just got off the waitlist for Berkeley! Now I am having quite a hard time deciding between Berkeley and Carnegie Mellon University though. I got into Data Science for both.
Cost of attendance is not a factor. I can adjust to the weather and location of both. Campus is also fine for both. Which school would be better career-wise and would give me more opportunities?
I am also interested in business, and so both startups and finance seem like things that intrigue me. One concern I have is that Berkeley has so many people that it's highly competitive and there may be a lack of opportunities or jobs/internships.
If I went to CMU, I might double major in Data Science and Computational Finance. Would I be able to double major at Berkeley too for business?
Which would you guys recommend (again ignore cost please)? Any insight, any opinions, or any experiences would be highly appreciated. Thank you!!
Hi, I just got off the waitlist for Berkeley! Now I am having quite a hard time deciding between Berkeley and Carnegie Mellon University though. I got into Data Science for both.
Cost of attendance is not a factor. I can adjust to the weather and location of both. Campus is also fine for both. Which school would be better career-wise and would give me more opportunities?
I am also interested in business, and so both startups and finance seem like things that intrigue me. One concern I have is that Berkeley has so many people that it's highly competitive and there may be a lack of opportunities or jobs/internships.
If I went to CMU, I might double major in Data Science and Computational Finance. Would I be able to double major at Berkeley too for business?
Which would you guys recommend (again ignore cost please)? Any insight, any opinions, or any experiences would be highly appreciated. Thank you!!
Hi, I just got off the waitlist for Berkeley! Now I am having quite a hard time deciding between Berkeley and Carnegie Mellon University though. I got into Data Science for both.
Cost of attendance is not a factor. I can adjust to the weather and location of both. Campus is also fine for both. Which school would be better career-wise and would give me more opportunities?
I am also interested in business, and so both startups and finance seem like things that intrigue me. One concern I have is that Berkeley has so many people that it's highly competitive and there may be a lack of opportunities or jobs/internships.
If I went to CMU, I might double major in Data Science and Computational Finance. Would I be able to double major at Berkeley too for business?
Which would you guys recommend (again ignore cost please)? Any insight, any opinions, or any experiences would be highly appreciated. Thank you!!
Hi, I just got off the waitlist for Berkeley! Now I am having quite a hard time deciding between Berkeley and Carnegie Mellon University though. I got into Data Science for both.
Cost of attendance is not a factor. I can adjust to the weather and location of both. Campus is also fine for both. Which school would be better career-wise and would give me more opportunities?
I am also interested in business, and so both startups and finance seem like things that intrigue me. One concern I have is that Berkeley has so many people that it's highly competitive and there may be a lack of opportunities or jobs/internships.
If I went to CMU, I might double major in Data Science and Computational Finance. Would I be able to double major at Berkeley too for business?
Which would you guys recommend (again ignore cost please)? Any insight, any opinions, or any experiences would be highly appreciated. Thank you!!
Just got off the waitlist for Berkeley! Need to decide between these two. Campus and weather and stuff are all fine for both. Ignore cost of attendance please, what are the pros/cons of each and which is better?
Hi, I just got off the waitlist for Berkeley! Now I am having quite a hard time deciding between Berkeley and Carnegie Mellon University though. I got into Data Science for both.
Cost of attendance is not a factor. I can adjust to the weather and location of both. Campus is also fine for both. Which school would be better career-wise and would give me more opportunities?
I am also interested in business, and so both startups and finance seem like things that intrigue me. One concern I have is that Berkeley has so many people that it's highly competitive and there may be a lack of opportunities or jobs/internships.
If I went to CMU, I might double major in Data Science and Computational Finance. Would I be able to double major at Berkeley too for business?
Which would you guys recommend (again ignore cost please)? Any insight, any opinions, or any experiences would be highly appreciated. Thank you!!
Hi, I just got off the waitlist for Berkeley! Now I am having quite a hard time deciding between Berkeley and Carnegie Mellon University though. I got into Data Science for both.
Cost of attendance is not a factor. I can adjust to the weather and location of both. Campus is also fine for both. Which school would be better career-wise and would give me more opportunities?
I am also interested in business, and so both startups and finance seem like things that intrigue me. One concern I have is that Berkeley has so many people that it's highly competitive and there may be a lack of opportunities or jobs/internships.
If I went to CMU, I might double major in Data Science and Computational Finance. Would I be able to double major at Berkeley too for business?
Which would you guys recommend (again ignore cost please)? Any insight, any opinions, or any experiences would be highly appreciated. Thank you!!