Luke99

Thanks, I'll check them out

I'm currently an undergrad student looking into master's programs in statistics and math that would potentially prepare me for Ph.D studies. The criteria I'm looking at in order of importance: cost - Everything seems so expensive, I'm not looking to go into a bunch of debt so something that's funded, cheap, or offers big scholarships would be nice prestige - Not really a big deal to me personally but I know reputation is important Location - I prefer East Coast US but am open to anything Any recommendations would be appreciated I know that the conventional wisdom is to just apply straight to Ph.Ds from undergrad which I plan on doing as well, this is just more of a backup option in case I get rejected from everywhere

If you're still interested in financial applications I'd recommend adding UCSB's program to your list: https://www.pstat.ucsb.edu/graduate/phd/emphases/fms

I recently took a look into the US news rankings for schools in applied math and statistics. Generally, the rankings went how I expected with some occasional outliers, for instance NYU is #37 in statistics, Yale is #17 in statistics, and Harvard is #22 in applied math. I then took a look into the placements of recent graduates from the programs in question and they seem to be on par with higher-ranked programs. I'm wondering if US News is mistaken in these ranks and if ranking is indicative of the competitiveness of admissions. Thanks

I'm signed up for undergrad real analysis next semester so I should be fine in that regard. I guess my main concern is my lack of research experience, it looks like almost everybody getting into good schools is applying with either publications or multiple REUs. Thanks for the input, hearing that you got into some top 30s is reassuring

Hello, I apologize if this is the wrong forum to post this on. If so then please direct me elsewhere I'm a math and economics major entering my junior year at a state school ranked ~25th among US public schools. Some relevant classes that I've taken are calc 1-3, linear algebra, ODE, probability, some statistics, intro to proofs, grad-level econometrics, and Python programming. My GPA is 3.99 with the only non A being an A- in a history class freshman year. Currently, I'm working on my plan of study for the next two years. If all goes according to plan then I'll have PDE, numerical analysis 1-2, undergrad real analysis, grad analysis, measure theory, measure theoretical probability, math stats 1-2, stochastic processes, and machine learning done by the time I graduate. If I'm able to maintain a high GPA, do an REU next summer, and maybe do an independent study via my school's DRP program then where does that leave me for competitiveness for grad programs in applied math and statistics? I'm still figuring everything out but as of now, my interests are aligned with mathematical finance, statistics, and probability. I know I wouldn't be able to get into a top PhD program but around what range of ranks should I aim for? How beneficial would doing a masters at a top-ranked school be for my profile, I know Chicago and Stanford have some highly ranked statistics masters programs but they're expensive, and idk if I'd even be competitive for them to begin with Edit: I'm a domestic white male if that matters Thank you