missingthefarmersmarket

Thank you so much to everyone who replied! I really appreciate any help I can get and this was definitely a wake up call for me. I really appreciate how you listed out all of the steps I need to take! So to start off, I should retake those 5 classes (Calc I, II, Linear Algebra, Probability, Statistics). Does it matter if I do them at say a prestigious university, a Cal State, or a community college? (Though I am having a hard time finding all of the classes on the community college's website, is that normal?) I'm thinking if I want to apply for Fall 2021, I might be able to do a maximum of 2 classes per semester while working. I would prioritize the courses that I got C's in, so that would leave out re-taking Linear Algebra, does that sound like the right move? If I do re-take all of those courses, would it just help me with getting into the average program or would it help put me in the running for top programs as well? Apologies if that makes me come off as snobby, I would love to get into any program at this point, but just want to know what to expect. If the schools are trying to gauge my ability in math, would taking the GRE math subject test help my admission or help cover my deficient classes? I was hoping that getting into a decent MS program and doing well there would help me with admissions to an Econ PhD, though I know I won't be aiming for anything competitive since I plan on attending quite a bit later in life (I plan to have children in between the MS and PhD). I would definitely appreciate any advice in this realm! Ah yes, I'm not too keen on the idea of attending those types of programs. Come to think of it, the program at CMU that my friend attending is called "Master of Statistical Practice." How different are programs like that from traditional Statistics MS programs? Her feedback was that it was challenging and she also made a lot of PhD friends, so I had assumed it was a traditional Statistics MS program. And correct on my prob/stat grades, I don't know if I have much of a story to tell. I would say that the classes I earned C's in are "weeder" courses but that sounds a bit whiny. How often is Real Analysis a pre-requisite? It was only required by math majors at my university so I never thought about that course until recently. What does it mean to be an unranked MS program? (Is there some kind of quick guide to grad school newbies or do people who've been interested in grad school for a while kind of just know these things from the grapevine?) I noticed that UCSD's Statistics MS program is not listed on USNews (and falls under their Math department) but it sounds like an interesting program.

Hey everyone, I'm a few years out of college and I'm planning to apply for an MS in Stats for the Fall 2020 cycle. I'm very worried about my GPA, but anyways, here is my profile: Undergrad Institution: UC Berkeley Major(s): Econ Minor(s): Stats GPA: 3.15 Type of Student: Domestic Asian female GRE General Test: Will take in 1-2 months, aiming for 165Q+ Relevant Courses: Calc I,II (C+, C+), Intro to Stats & Probability for Business (A), Linear Algebra & Differential Equations (B), Multivariate Calculus (B+), Econometrics (A-), Concepts of Probability (C-), Computing with Data (B-), Intro to Time Series (B), Concepts of Statistics (C+), Linear Modeling (B) Programs Applying: MS in Statistics, interested in applying to Econ PhD programs in the future but that would be much later down the road. If any wants to hear my life story, it's that I think a MS in statistics would greatly help my job prospects in data science and hopefully at the same time, give me the mathematical edge that I lack for an Econ PhD. I'd love to work in behavioral economics and perhaps policy work but I want to make sure my family is financially accounted for before I go to pursue my passion. Would love any advice I can get regarding the matter! Tutoring Experience: Lab assistant for Intro to CS course Research Experience: RA for a semester for a business school professor Work Experience: Data analyst for a tech company, previously an actuarial analyst Awards/Honors/Recognitions: 1st place with my team at a case comp Letters of Recommendation: I'm not too close to any of my professors unfortunately. I was thinking of asking one Econ professor (got an A in his class) and one Stats professor (he wrote a LoR for my other classmate and she got into CMU for MS Stats, though she did have better grades than me). At my work we've gone through many re-orgs so I've had multiple managers. I'm trying to decide between my first manager who hired me but I haven't worked that closely with him in a while (over a year), but he has a PhD in astrophysics and was a teaching professor. My other choice is my current manager who has only officially been my manager for a few months, but has done a lot to mentor me, he has a MS in stats from a college outside of top 50 for stats. Applying to Where: Stanford, Berkeley, UCLA, USC, UCSD, UCD, UCI, Claremont Graduate University, San Jose State, Cal State East Bay Questions: 1) Which manager should I ask for a LoR? 2) What could I do to improve my profile between now and when applications are due? I don't know if I could take a class in time since I believe applications are due ~ Dec 15th. Or do you think I should wait a year, take classes, and apply for Fall 2021? I'd like to get my MS done sooner for family planning reasons, but if I could get into a program that's only a year (like Berkeley's) then that could also work out great. Would taking the math subject GRE help my application at all? 3) What schools do you think I could realistically get into? Should I change around my list of schools I'm applying to? I would like to stay within California because all of my family is here, and it seems like there is already a great range of schools to apply for! 4) I haven't heard much of Claremont Graduate University, but happened to stumble upon it while looking for schools to apply for. Does anyone have an opinion on it? Thank you for taking the time to read my post, I'd appreciate any advice at all!