As a person who had a 2.92 GPA getting out of university(I transferred from one univ to another so while my credits were accepted from the first, the 3.3 GPA didn't carry), how critical are graduate schools of this sort of thing? I have a BS in CS, and about 9 years of real-world development experience under my belt and can probably get good recommendations from supervisors / professors. Can anyone comment on this?
Edit: I'm in the process of updating my resume and applying. While I'm still curious for anyone's thoughts for this, I figure it doesn't hurt to try anyway :)
From my experience people that have been out of school that long and don't have a good GPA usually take a few graduate courses through the non-degree program, then get a recommendation from the professors when they apply to grad school. It probably will vary from school to school. Grades alone however usually grad school will want over a 3.0 GPA and 2-3 recommendations from professors.
Thanks! That's sort of what I was afraid of, but if this might be the route I have to go then it'll give me a better shot of getting into a program. By then I'll see how well the current crop of Georgia Tech students like the program and go from there. I'm doing a Machine-Learning class from Coursera / Stanford starting next week to give me a taste of things, too :)
This is essentially how it worked for me, too. I had a 2.92 overall GPA but showed them a 3.6 GPA in my major, and was provisionally admitted (based mostly on my letters of reference and work experience). It seems admissions and department heads have quite a bit of flexibility if you can convince them to apply it. :)
Edit: I'm in the process of updating my resume and applying. While I'm still curious for anyone's thoughts for this, I figure it doesn't hurt to try anyway :)