Originally posted by: scott
Been there done that.
Well, solid understanding of statistical analysis techniques is very important, but is more of a prerequisite for grad school.
In other words, in grad school it will be assumed you already understand enough to work with stat with some facility. Same for calculus, etc.
Your school may require refresher courses covering subjects like calculus, statistics, matrix math, linear programming, queuing theory, etc. after you get the acceptance letter but before you actually enroll. My school did (top 10). If not, it's suggested that you voluntarily take, or retake, a course or two like that before starting your grad coursework. Those professors are fierce!
Obviously you will encounter a lot of sophisticated statistical analysis during your coursework, some types you may not even have yet heard about.
Answer to you're question mostly depends on the content of the courses your professors have developed. A lot of your grad work is through face to face meetings with the professors, and based off unpublished papers they're working on.