StatSig

Top 50 biostatistics program, and top 20 US news for undergraduate studies. Yeah I'm sorry I forgot to mention my GRE, but I have a 167 in Math and 335 overall.

@Applied Math to Stat are you talking about the top programs or all of them in general. I doubt I'd be competitive for the top few, but would I be out of the running for mid to low rank programs as well without a master's degree?

I'm an applied math and stats major. I had subpar performance freshman year and junior year, but made it up during my sophomore and senior years (graduated already and am currently working as a data analyst). My lower grades junior year were due to a string of personal problems with family and relationships, and I worked my ass off senior year (took more advanced math, and even the graduate analysis sequence at my school) to make up for it. That being said all of my grades are either As or B's. I received a c+ in linear algebra my first year, but I retook the class at another University (my school doesn't allow repeats for those who passed), and aced it. My in major GPA is around 3.5 as well. My undergrad istitution is well known, and also has a top 50 biostatistics program, but I'm looking at general stats, and undergraduate students don't really interact with the biostatistics Dept.

I'm new to this forum, and will be applying to graduate schools as a domestic applicant in a year. I'm slightly worried about my GPA though: I have a 3.51, and some applied stats research experience. I've been reading a lot of the posts, and it seems like a majority of people here have 3.8+, so I'm slightly worried that I might not even stand a chance. Would my GPA be enough, or would taking 2 years and going through a master's program be a better call?

This profile looks similar to my own, though with more research experience and fewer math classes. I'm curious to see some advice.

In the case that one has to pursue a master's before a PhD due to undergraduate grades that seem borderline competitive (3.5) at graduate schools in Statistics, which route is a better call? I'm tempted to think the master's in statistics, but going through the coursework requirements at many schools, it seems like there really isn't too much mathematical rigour in MS statistics programs. I understand PhD programs are far more theoretical in coursework (and possibly thesis research, if that's the direction on which one takes it), so would and MS in math be better?

That inspires some confidence, thank you! I'm a little surprised though; there are a few threads on this website that list down profiles and admission results, and everyone seemed to have 3.8+ gpas with research experience. It just begs the question as to how the admissions game works.

Sounds about right! I know that while my gpa is above a 3.5, it's still lower than a ton of applicants, so that has definitely been a point of stress. Really hoping my experience with graduate level math and my recs get me through the door. Sometimes I feel like the only place I may have a realistic shot is at the bottom of the barrel lol

Sounds about right, and I was kind of expecting that. I was thinking about ranks 30-70, but I'm worried that I'm still being unrealistic?

I'm going to be applying fro statistics phd programs, and I'd like an honest opinion of where I'd have a realistic shot. All advice (no matter how brutal) is appreciated. Undergrad Institution: Top 20 undergrad (US news) Major(s): Applied Math and Statistics GPA: 3.51 Type of Student: American (Indian descent) Male GRE General Test: V: 164 Q: 167 W: 4.0 Intended program: PhD in Statistics Research Experience: Year long senior statistics capstone project which involved applied statistics and data analytics for a large company. I was part of a team of students that worked under 2 professors. Both of them are fairly accomplished, and will be writing my recommendations. LORS: two from research profs, and one from graduate math prof Coursework: Calc2/3 (B+,B) (I retook calc 3 at another university post graduation and got an A); Linear Algebra (C+) (retaken at another university post graduation and got an A); Probability (B+); Abstract Vector Spaces(Very Theoretical linear algebra) (A-); Intro to proofs (A); Mathematical Stats (A-); Real Analysis 1/2 (B,B); Graduate complex analysis (A); Graduate Real Analysis (Measure Theory) (A); Time series (B); Generalized linear models (B); Numerical Analysis (A); Partial Differential Equations (A); Differential Equations (A); regression analysis (A). Current position: Business analytics at a small company in NYC My interests are all over the place, but I'm not super into bio statistics because it seems like a very niche route and I'd like to have a more "generalist" background. I'm definitely not going to be looking at Harvard and Berkeley (Or anything in the top 10 for that matter), but I'm having a tough time placing myself. Thoughts? I'd like to try and avoid a masters programs because of the cost.