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Which school, if any, would be best for applying to a top 20 grad school?
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(01-14-2019, 12:43 PM)cstobler Wrote: I am trying to gauge how important work experience is to the acceptance rate. I'm assuming it is considerable, but I don't know if it means that it would be much harder for me to get in. I guess that is something I will have to figure out when I get there.

The best way is to think of your application as a package. All of the components have value. If you have a good school, the right degree, and great grades, then you might need very little work experience. If you have lots of good experience, a BALS plus a few MOOCs might do the trick. That's why I pointed you to the OMSCS online communities, you will see what different people had who did and didn't get in.

In your case, since you're already working in the field, I think that your time (not to mention money) would be better spent getting a CS degree quickly, and relying more on professional experience. In your shoes, I'd go ahead and apply as soon as you get the degree. If they don't accept you, then gather more professional experience and try again.
NanoDegree: Intro to Self-Driving Cars (2019)
Coursera: Stanford Machine Learning (2019)
TESU: BA in Comp Sci (2016)
TECEP:Env Ethics (2015); TESU PLA:Software Eng, Computer Arch, C++, Advanced C++, Data Struct (2015); TESU Courses:Capstone, Database Mngmnt Sys, Op Sys, Artificial Intel, Discrete Math, Intro to Portfolio Dev, Intro PLA (2014-16); DSST:Anthro, Pers Fin, Astronomy (2014); CLEP:Intro to Soc (2014); Saylor.org:Intro to Computers (2014); CC: 69 units (1980-88)

PLA Tips Thread - TESU: What is in a Portfolio?
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RE: Which school, if any, would be best for applying to a top 20 grad school? - by davewill - 01-14-2019, 01:18 PM

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