For concern 1 have you ever been to the campus. The learning is set up very well where it almost seems as if the professor is there. You can press a button where the professor see's you and can answer your question in real time. It's probably the best live distance learning available. For placements its gonna be rather similar other then the fact that UCB takes more experience students whereas CMU takes in many students who don't have any experience and still get them top jobs. So, I would say placements are rather similar. Curriculum of CMU is more well rounded because it is comprised of 4 schools rather then UCB's 1 business school. You have an extra semester of learning, where you could take up to 10 mini's. This would be a lot more learning! CMU also has one of the top machine learning programs in the world, so being able to take extra classes in that as long as you could find an online version. Both schools are very good so you really can't go wrong, but I would use CMU.Main things I'm concerned about:
1. there'll be online video lectures at the CMU NY campus v/s the in-person lectures at UCB.
Actually UCB MFE focuses less on GPA. I know some guy with GPA 3.3 gets admission. I think 3.1 also has chances.My biggest weakness is a low GPA (3.1), otherwise work and research experience is solid. Which reputable masters programs are the most amenable to that?
If you don’t mind me asking, which ones were those?CMU, NYU Courant, Cornell, Baruch were most open to my application as a non-traditional student. I didn’t have a great time w Ivy / top ranked data science and MFin. A few even said they were interested in 22 year olds w perfect GPAs and 170 GRE Q.
CS is really hot recently... Top CS master like CMU is extremely hard to get in. Many candidates has 3.8 GPA, high GRE and over 1 top publication.I'm more interested in just CS, Applied Math, and Stats Masters programs than MFE stuff because I want to do buy-side signal generation and they tend to value that more from what I've seen. Does the same from above apply? Or would those programs be more competitive
i have an extremely poor cs gpa but a strong math gpa. this is more because i had zero interest in CS at the time because the way our school taught the earlier CS classes wasn't very quantitative at allcs masters are really easy to get into even for top schools cuz they are cash cow programs. most failed candidates don't have required prerequisites or performed poorly on undergrad cs classes. candidates with relevant experience, e.g. fang sde internships, can get into cs masters with 0 problem. publications are overrated for master programs most of which are just taught masters. of cos, why do they even need a master degree if they are already working at fang.
I think my undergrad college can top that. They taught us Fortran 95 back in 2004 for our CS101 and vim as the only IDE. Some hard core CS profs who genuinely enjoyed torturing the entire undergrad batch. From what I hear, they thankfully moved to Java later on and now Python, but I can relatei have an extremely poor cs gpa but a strong math gpa. this is more because i had zero interest in CS at the time because the way our school taught the earlier CS classes wasn't very quantitative at all