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Spaceage

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  1. Does anyone know what the typical application profile looks like of a NYU/Columbia Math MS admitted student? Above a certain GPA, GRE, Research exp, work exp? Having a hard time nailing down an applicant profile to compare.
  2. Hi - Years later, mind sharing which program you picked and the experience you had? Also, whatever color around your admissions statistics you feel comfortable sharing would also be really helpful. Thank you.
  3. Now what about which Bachelor's major you see as more useful/having more flexibility and longevity? Math, Statistics, or CS? I'm going to take both CS and Math classes next semester and see what I'm more interested in/what comes more naturally, but just curious which you think is more useful. I figure that to be competitive for the top undergraduate research opportunities, I'd need to make sure I have some advanced coursework under my belt prior to applying. It seems like CS moves a bit slower in my school (prerequisites) and takes longer to get to the more advanced coursework. Though in the long run, it seems like there are more research opportunities for CS undergrads (based on my initial due diligence)?
  4. Again, thank you for taking the time to reply and offer your advice. @Stat PhD Now Postdoc - RE Masters: I meant to ask for your opinion of the preparation potential between a Masters in Statistics vs a Masters in Applied Math with regards to ML. @orchidnora - I've enrolled back at the same school that I received my first degree from, therefore, they start me on this degree with 90/120 credits, and I only have to complete the ~34 credits of Math/Stat to get the second BA in Math. I've built out a plan to take ~48 across 3 semesters with the option of maybe doing a 4th semester to throw some more graduate level courses in the mix. I'm scheduled to start back next month. Thoughts? My thinking is that I can take this Math BA (and Stat minor) with me wherever I go. Also, wouldn't that make me a more attractive candidate for top MA programs in Math/Stat? The concern I have is when will I learn Python and when will I do research.
  5. Right off the bat, thank you. Your responses are already so helpful. I know I'm overreaching in terms of timeline. I am by all means interested in Masters programs. I've mapped out the next 3-4 semesters to complete the math bachelor's degree. Again, responses from this community are incredibly helpful and I just have a few follow ups: RE Python: I'd like to get a grip on python simultaneously. I've looked through both bootcamps and online classes. Are there any that you would personally recommend? Are there alternative ways you've learned (specific books that were better than others?) RE Research: After I get a few semesters under my belt and get a grip on python, what advice can you offer around finding research opportunities within Machine Learning specifically? RE Masters: Does a Masters in Stat typically better prepare people to work with Machine Learning? I'm looking through student profiles of M.A Stat programs and it seems like a number of them go on to PhD programs in machine learning. Which of the two would you say offers more flexibility/career prospects in industry?
  6. Hi Guys - I was hoping the community would be able to offer some advice for unusual applicants. I've read a lot of threads that feature the typical undergrad Math/Stat/CS majors looking to jump right into a grad program, however, I haven't been able to find too many for people looking to switch industries or re-educate themselves with prerequisites with the intention of applying for Math/Stat/CS PhD programs. RE myself, please see below for some high-level stats : Undergrad Institution: Honors program at small US public school Majors: Pre-Med Concentrations: Cognitive Neuroscience GPA: 3.5/4.00 Type of Student: Domestic Male GRE General Test: Q: 166 (90%) V: 161 (88%) W: 5.0 (92%) Research Experience: Endocrinology research experience, no papers. Awards/Honors/Recognitions: Full tuition scholarship to undergrad For some more color, I am 3 years out of school. After school, I started/ran my own Math tutoring business and this past year, I've been interning at a large Hedge Fund in an operations role. I don't want to continue down the operations path, and I'd like to pivot into something significantly more quantitative. I've particularly interested in AI and Machine Learning after some exposure to their applications at work (I feel as though AI would be particularly interesting given my undergrad concentration). That said, I am not limited and am open to other interests as I dive deeper into math. I've made a plan to go back to school and take 3 semesters of math/stat/prob/cs pre-requisites (essentially go back and get a second B.A. in Math) in order to prepare myself/apply to Ph.D. programs. That said, I'm worried that my lack of research will be a ding against my chances, as will my atypical background/path. I can openly admit that my brain wasn't fully switched on during undergrad and I essentially skated through with little regard for the future, smugly assuming that it will all work out in the end (shrink says I'm a "late bloomer"). Since then, I've developed a strong work ethic, identified my weaknesses, and am anticipating nothing but A's this time around as a Post-bac. Do I have chances at getting into top programs? What are some things that I can do to better my chances? I'd love to find some research opportunities but they're incredibly limited at the school I'm going to for post-bac (any advice on finding research opportunities in NYC?). Open and thankful for any advice from this community. Thank you.
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