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cc2819

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  1. Just curious. Has anyone been admitted to Berkeley's MA in Biostat? I haven't seen any acceptions this year and am wondering if they're even accepting applicants for 2019.
  2. Hi everyone! I have been admitted to the Biostat MS program at Hopkins and Yale. My goal is to pursue a PhD in Biostat after MS and eventually go into industry. I don't have a strong math background (took calculus, linear algebra, numerical analysis, prob, stats, and a few applied stats courses in undergrad) so I hope to take a few math courses during MS. I'm leaning towards JHU for many reasons (tier1 in biostat of course), but Yale is such a prestigious school (despite its lower rank in biostat) that I'd like to hear your thoughts about its biostat program. These are the reasons why I currently think that JHU might suit me better: 1. Smaller incoming class (JHU < 10 MS, Yale 20~25 MS) 2. TA & RA required in 2nd yr if pass the 75% scholarship exam (which from what I've heard, isn't hard to pass) while Yale doesn't guarantee these opportunities 3. More flexibility in coursework I think I'm able to take two or three math courses as electives in the 1st yr if I attend JHU. With Yale it seems hard to squeeze in a few math courses due to its relatively stringent degree requirements. Also, I think I'd have more research opportunities and closer interaction with faculty at JHU. If I've missed out anything about Yale that's better than JHU, please share your thoughts! Thank you!
  3. Hi, I am currently selecting courses for my last semester in college and will apply for 2019 fall biostat MS programs. I need some advice on which to choose from 3 courses: Applied Algebra (grad level), Discrete Mathematics, and Categorical Data Analysis (grad level). I am leaning towards taking Applied Algebra since it's more proof-based and I've learned from this forum that math courses carry more weight than stat courses in the process of application. I still would like to know what you guys think about these 3 courses. Thanks in advance for any advice!
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