Grad programs--I've just heard (for the first time) that conditional admissions are A Thing. Would I have a snowball's chance with a good GRE score alone or will I have to take pre-req undergrad classes first?
("As someone once said to me: 'A second Bachelor's degree is NEVER a good option.' You want an engineering degree? Go get a Masters." posted by NotMyselfRightNow at 1:27 PM on January 25, 2011)
Well, I got a degree in business (focus in marketing) and haven't done much with it since. For a variety of complicated reasons tangentially related to the question at hand, I've been working dead-end or only-slightly-less-than-dead-end jobs since graduating. So I can't demonstrate capability to succeed via work experience in the field of the programs I'm considering.
I'm interested in getting a masters degree in Statistics or Computer Science. Once I figure out which direction I want to go, I want to go there fast. I always though I'd have to get a second bachelor's to get into a grad program, but a friend is telling me different. It is news to me. Something called a conditional admission?
Assuming that I can rustle up letters of recommendation, get a good GRE score, and most importantly, become
very sure that this time I'm taking a degree I actually want,
is it or is it not potentially possible to get some sort of admission into a grad program without a directly-relevant undergrad NOR having directly-relevant work experience? Whether or not such an admission is worth making (likely to succeed) is a related but slightly different question.
If such an admission isn't likely in my situation, I'm okay. I can certainly knock out some pre-req courses while working at my current not-entirely-horrible job and have my current company pay a portion of the tuition. I can build up a portfolio of programs and go crazy with Kahn Academy. Maybe I'll find some open source projects that I can contribute to in the mean time. If that is the case I'm curious how many pre-req classes I'd have to take (or programs I'd have to make for my git-hub account) before it starts to be worth applying to grad programs. The answer to that is obviously "it depends," but what's a realistic idea of how far down that path I'd have to go to make it worth my time to apply?
I guess I was just surprised to hear those kind of admissions actually exist. How common are they? Under what conditions are they, in your experience, extended?
I'm a bit ahead of myself thinking about grad school admissions (when I'm still figuring out basic things like CS vs. Stats), but I was curious about this wild new thing called a conditional admission I had never heard of before. What can you tell me about it?
What is certainly true in my field (math) is that if you can make the case that you'd be a good math graduate student (e.g. via strong letters attesting to your math abilities and good GRE scores) you can get admitted to graduate school in math. Yeah, it's easier if you were a math major, because you're likely to have credits and grades for a lot of undergraduate coursework we expect our students to come in knowing. But a letter from a math professor telling us that you know as much math as an entering graduate student should know can be an acceptable substitute, depending on the rest of your application.
Taking some pre-req courses is a really good idea, both to strengthen your application and to give you a clearer idea of what you actually might like studying at a graduate level. Look at the web pages for graduate programs you're interested in; most of them will tell you what coursework they expect their applicants to have completed.
As far as statistics goes, my sense is that undergraduate statistics majors in the US are pretty rare, and that tons of entrants to statistics grad programs don't have BAs in the subject. But I couldn't find any hard numbers on this.
(I am a graduate admissions director but I am not your graduate admissions director.)
posted by escabeche at 7:37 PM on September 23, 2012 [2 favorites]