Man, I don't know what to do.
I know I'm applying to Berkeley and Purdue. Probably to Carnegie Mellon. Maybe.
The more I think about it, the more I'm tempted to just go for it and apply for/consider a PhD program right away.
Aww, but there are plusses and minuses. The PhD work would be more interesting and challenging and would better facilitate my interests. Master's work would be much shorter and would get me out of school quicker an into the job market.
See, that's sort of the plan. Study for a year or two and then get a job, see how much I enjoy it, and then decide whether to go back to school.
I've never experienced a single bit of overt pressure with regards to my schooling, yet, in this decision, I feel pressure to not go completely crazy with school. Maybe that's an imagined force, I don't know.
I was fairly comfortable with the Master's route, but when I look at these programs, often the Master's degree is a bit less than what I'd like: no thesis, just relatively basic training in traditional statistical methods. Which is cool, but my ultimate goal is to dig deeper than "traditional methods".
I was thinking, I think my career dream would be to someday teach statistics at OSU or the U of O. Wouldn't that be cool?
And the other thing I thought was (something like): "Am I 22 or 23? I think I'm 23 ... let me calculate, yep, 23, no wait, that can't be right, oh yeah, whew, 22."

