I wanted to get some directions on how to prepare for a MS Degree in Mathematics.
- I'm interested in getting a Ph.D in Statistical Learning or related area in 5-6 years.
- I took some courses in Mathematical Statistics and I struggled because I do not have recent coursework in Analysis, Measure theory, etc.
- I studied electrical engineering with a very heavy mathematical component from a very decent University 20 years ago however, it is amazing how much I've forgotten.
- I've always been fascinated by mathematics and I'm very tempted to build a solid foundation before partaking in doctoral study.
- I am working at the moment - my job is flexible and I'm saving to take off a year or two for the final years of my doctoral work.
- I have a couple of graduate degrees in the area of Computer Science and Artificial Intelligence
- I'd like to build up to where I was 20 years ago: calculus, linear algebra, diff equations, calculus of complex variables, frequency domain analysis.
I'd also like to take courses that are typically reserved for math majors like proofs, analysis, group theory, algebra, etc.
I think the best way to accomplish the plan would be a decent community college or extension program like (UC Berkeley extension) that offers online classes -- any recommendation?