Schools What Math PhD Programs Can a Smart, Hardworking Student Aim For?

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The discussion centers on the challenges faced by a hardworking math major seeking a PhD in pure mathematics, particularly regarding the selectivity of various institutions. The individual expresses uncertainty about their chances at prestigious schools like Stanford, MIT, Michigan, Wisconsin, Cornell, and Berkeley, despite having completed eight graduate courses at a "lower Ivy" and coauthoring papers. They acknowledge the competitive nature of admissions, noting that top schools have become increasingly selective, and emphasize the importance of applying to a range of institutions. Concerns are raised about the vague admissions criteria provided by schools, which often state general requirements that do not reflect the competitive landscape of applicants. The consensus suggests that applying broadly across a spectrum of schools is a strategic approach, as outcomes are unpredictable.
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Realistically speaking, what league of schools does a hardworking, smart but not brilliant math major have a shot at for a PhD in pure math? Let's say I might apply with 8 graduate courses at a "lower Ivy", coauthored 1-2 papers, solid recommendations.

I am not getting my hopes up for Stanford or MIT. But just how selective are Michigan and Wisconsin? Cornell? What about Berkeley?

I will probably have a conversation very much like this with my professors in the not-too-distant future, but I would appreciate your thoughts!
 
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I don't have a direct answer for you, but I can say that I'm in a similar boat (only with 3 grad classes and no papers and at a school nobody's heard of, not a "lower ivy"... probably extremely good letters though), and it's not easy to get a solid answer to this question. I think probably ultimately it just comes down to, "No one knows for sure, and it's something of a crapshoot, so just apply to a lot of schools across the whole spectrum you would be willing to go to."

My professors have encouraged me to apply to Harvard and Princeton, but looking at the current grad students there and talking with some people, I'm sure I have exactly zero chance of getting in there. I've heard that admissions at top schools have become more competitive recently and that some profs aren't aware of that. So I actually am applying to MIT, but I'm not holding out a whole lot of hope about that one, and I'm also applying to 9 other schools across the range of the "top 25". It's possible even this is too ambitious, and I won't be shocked (very disappointed, but not shocked) if I don't get in anywhere.

The schools themselves aren't very helpful; the web pages of extremely well regarded schools will say something like "successful applicants to our graduate program usually have taken courses in advanced calculus, linear algebra, and a course in either abstract algebra or topology." ?? Well since that probably includes just about EVERY math major EVERYWHERE, what the heck is the point of even saying this? Obviously such a program wants to see a heck of a lot more than 3 math classes that everyone is required to take.
 
Hey, I am Andreas from Germany. I am currently 35 years old and I want to relearn math and physics. This is not one of these regular questions when it comes to this matter. So... I am very realistic about it. I know that there are severe contraints when it comes to selfstudy compared to a regular school and/or university (structure, peers, teachers, learning groups, tests, access to papers and so on) . I will never get a job in this field and I will never be taken serious by "real"...
Yesterday, 9/5/2025, when I was surfing, I found an article The Schwarzschild solution contains three problems, which can be easily solved - Journal of King Saud University - Science ABUNDANCE ESTIMATION IN AN ARID ENVIRONMENT https://jksus.org/the-schwarzschild-solution-contains-three-problems-which-can-be-easily-solved/ that has the derivation of a line element as a corrected version of the Schwarzschild solution to Einstein’s field equation. This article's date received is 2022-11-15...

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