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echlori

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  • Interests
    Statistics/Biostatistics
  • Application Season
    2015 Fall

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  1. Seems like my department is not ready for us to choose courses yet. So many things to do before school starts!
  2. If you haven't read it already, Cracking the Coding Interview is a good place to start.
  3. Undergrad Institution: Top 10 UK University (top 3 in mathematics and statistics) Major(s): Four year integrated masters programme in Statistics GPA: Second Upper Class Honours Type of Student: International Asian Male GRE Revised General Test: Q: 169 (98%) V: 164 (93%) W: 4.5 (78%) GRE Subject Test in Mathematics: M: 600 (36%) Program Applying: MS Statistics/Biostatistics/CS - my interest is mainly in Machine Learning Research Experience: - 2 summer research attachments while in undergrad - 1 first author paper and 1 second author paper. - 16 months research assistantship in Deep Learning - 1 second author paper and 1 second author patent. Awards/Honours/Recognitions: Pertinent Activities or Jobs: Currently working in a data science role in government. Applying to Where: University of Washington (Statistics): Pending University of Washington (Biostatistics): Rejected Carnegie Mellon University (CS): Accepted Rejected (Yes, I was one of those affected ) Carnegie Mellon University (ML): Rejected Carnegie Mellon University (Computational Data Science): Accepted Stanford University (Statistics): Rejected University of British Colombia (Statistics): Rejected UC San Diego (Computer Science): Accepted After 2 years of trying for a PhD, I changed my mind. While I don't entirely rule out eventually doing a PhD, my aim now is to finish my masters and continue in the data science industry. Whether this has resulted in my SOP being more "focused" or not, I have no idea. Unless UW comes with an offer, I should be headed to San Diego.
  4. Just accepted my offer for Masters in CS a few days ago. Excited!
  5. Were you referring to this?
  6. My background is in Statistics, with some working experience in machine learning (especially in language-related applications). My interest is in machine learning and analytics, and I'm aiming to work in industry as a data scientist after I finish my Masters. I've got offers from CMU's Masters in Computational Data Science and UCSD's Masters in Computer Science and while I have a good idea which one I'm picking, I'm not sure if I've missed out anything. CMU MCDS Pros: Prestige (especially in industry) Huge number of faculty who are renowned in Machine Learning Curriculum specifically for data science Slightly shorter time frame Cons: Expensive (even considering the shorter time frame) Not fond of Pittsburgh's weather Course seems to be more tightly packed Further away from my SO UCSD CS Pros: Broader scope of study (which seems to complement what I already know) Nicer weather More opportunities to work as an RA/TA and cheaper tuition Closer to my SO (Half the distance or less) Cons: Not as prestigious as CMU Longer time frame to graduation Possibly as expensive as CMU without any form of financial aid (since San Diego is not a cheap place to live in) That's mostly what I've thought of the past few weeks. Maybe I'm still missing something...? I'm not exactly sure how much the prestige thing matters in industry, and friends have given me mixed opinions as well.
  7. Yeah, same here. I'm sitting on another offer but UW is my top choice.
  8. Anyone still waiting for UW Statistics Masters?
  9. Due to time zones, I only saw the acceptance email in the morning over breakfast. I waited for a while before telling anyone else just to make sure I didn't get a retraction email again By lunchtime, it was clear that no retraction email was coming so I told my colleagues.
  10. I don't see what a lawsuit would accomplish either. Would be a nice gesture if CMU could refund the admission fee though :x
  11. It's been more than an hour and a half since I got mine. Maybe you're safe, but I would suggest emailing them. (Just don't expect them to reply quick!)
  12. Ouch...I guess I was lucky that time zones meant I only saw the first email 15 minutes before the second arrived, so I didn't even have the time to tell my parents.
  13. Calm down. I'm upset too but mistakes do happen. Besides, no point letting this affect your mood for the new year?
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