- Thread starter Buckeye
- Start date

I'm saying the above for several reasons. First, I, too, fret over forgetting some (and sometimes many) concepts after time passes. It just happens but practice and repetition is the only way to keep some skills sharp. Second, when I started my master's program, I was ill-prepared and I didn't realize it. Sure, I had all the math prerequisites, but the courses were taken here and there over five years. My undergrad intro stat class was pretty watered down and I was never exposed to ANOVA. My probability class skipped over moment generating functions. I was a TA for an undergrad math class and that consumed too much of my time that I needed to study mathematical statistics, linear models, and brush up on my weak areas of calculus.

So, your background sounds fine to me for starting a master's program in statistics. Your math undergrad background should help you and you won't be distracted by the theorems, proofs, and calculus steps. You're already doing some prep and watching videos. Coursera has some good, free statistical courses you could look into. Perhaps an overview learning how to use R will help you right out of the gate when you start your program if you don't already use R. Good luck!

I'm saying the above for several reasons. First, I, too, fret over forgetting some (and sometimes many) concepts after time passes. It just happens but practice and repetition is the only way to keep some skills sharp. Second, when I started my master's program, I was ill-prepared and I didn't realize it. Sure, I had all the math prerequisites, but the courses were taken here and there over five years. My undergrad intro stat class was pretty watered down and I was never exposed to ANOVA. My probability class skipped over moment generating functions. I was a TA for an undergrad math class and that consumed too much of my time that I needed to study mathematical statistics, linear models, and brush up on my weak areas of calculus.

So, your background sounds fine to me for starting a master's program in statistics. Your math undergrad background should help you and you won't be distracted by the theorems, proofs, and calculus steps. You're already doing some prep and watching videos. Coursera has some good, free statistical courses you could look into. Perhaps an overview learning how to use R will help you right out of the gate when you start your program if you don't already use R. Good luck!