I just graduated in May 2018 with an undergraduate bachelor degree in Computer Science from a pretty good university. During my time at the university, I always had aspirations of attending graduate school for a Masters (as a terminal degree). I had considered studying Computer Science, but during my final semester, I enjoyed the 400-level "Statistics and Probability I" course immensely that I had to take, making me re-think my decision of area of study in graduate school.
I focused mainly on my undergraduate courses along with becoming a course assistant (i.e. like a TA) for a Computer Architecture course for three semesters. I did not do any research or work closely with a professor in a related field while obtaining my degree, something I strongly wish I had done. Although, I have done two computer science-related internships in my final two summers as an undergraduate.
On top of this, my cumulative GPA feels incredibly mediocre at just a 3.34.
I am left with thinking of what the best possible path from here is, in the hopes of obtaining a Masters in Statistics. I have a few options I am looking at:
1.) Graduate schools across the board require letters of recommendations. Yes, I do have the professor I was a course assistant under, another professor that has gotten to know me well through course work, and internship mentors that have seen my industry intership work. However, I have been in talks with a professor on a PhD candidate board that notes that letters of recs for graduate school should come from professors you have worked closely with (i.e. through research) (he notes no distinction from masters vs. PhD).
Should I look for a research assistant position at a university institution before applying for graduate school (i.e. spend about a year doing research - spring and fall) in hopes of gaining experience and having a professor get to know me in an academia sense?
2.) Should I apply to a Post-Baccalaureate program in statistics to demonstrate a better GPA and to find a prospecting professor to do research with? I have the mathematics foundation (e.g. Calc 1, 2, & 3 and linear algebra), however, I obviously do not have a lot of statistics under me (e.g. one course as noted above).
I am leaning towards #1, however, I see the benefits of #2 too.
If anyone has any other recommendations, please send them my way. I am a bit nervous about wasting any time any one area, unless it is the right move. I would greatly appreciate feedback!