Isusriourt

Thanks, omicrontrabb! I mainly want to get statistics research experience before applying so I have a better idea of what a PhD would be like, rather than to strengthen my application. If I want to keep working until I go to grad school and can't find any local options for linear algebra/real analysis courses on nights or weekends, are there any online programs that would be sufficiently reputable? I'm not yet sure about my ability to be prepared for the math subject GRE by the last 2019 testing date, given that I've never studied differential equations and haven't seriously tested my calc knowledge in years.

Undergrad Institution: Ivy Major(s): Cognitive Science GPA: 3.77 Type of Student: Domestic Male GRE General Test: Q: 170 (97%) V: 170 (99%) W: 5.0 (93%) Programs Applying: Masters in Statistics or Math - I want to get a PhD in Statistics, but I doubt I have the math background for that, and ideally I'd like to get math/stats research experience before I apply for a PhD if at all possible. Research Experience: An undergraduate research thesis in cognitive science, not published anywhere Awards/Honors/Recognitions: Distinction in the major, Psi Chi honor society in Psychology Pertinent Activities or Jobs: None Letters of Recommendation: My cognitive science thesis advisor, a computer science professor, a psychology professor Math/Statistics Grades: Calculus Functions of Several Variables: A, Game Theory: A, Design and Analysis of Algorithms: A-, Mathematical Tools for Computer Science (light linear algebra): A Any Miscellaneous Points that Might Help: I've taken a number of 400-level computer science classes. I've worked through the Coursera course on Machine Learning from Stanford/Andrew Ng, which involves some linear algebra. I've been a software engineer since completing my undergraduate degree, barring a medical leave of absence (coming up on two years back at work within several months). I became interested in statistics through working closely with statistics researchers at one of my jobs, and I'd like to go back to school to learn how to do research in statistics. However, I don't believe I have enough of a background in math, so I'm trying to study math in my free time and apply to masters programs in fall 2019 for a fall 2020 start date. I'm currently working my way through a linear algebra textbook, and once I'm done I plan to move on to a more advanced linear algebra textbook and/or real analysis. Do I have enough of a calculus background, or do I also need to study differential equations? Is this all overkill, or would it not be enough to prepare for applying to masters programs in math/statistics? Should I consider a postbacc instead?