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Found 6 results

  1. Hello everyone, Need help evaluating profile and shortlisting universities. I am aiming for Operation Research(PhD or MS) / Data Science(MS) I have good experience in working on optimization, mathematical modelling and Applied ML I have degree in bachelor in EE GRE: 322(169Q + 152V) (I don't know if this is anymore useful since all Top programs have waived GRE) TOEFL: yet to attempt GPA: 7.85 Under Graduate Research Assistant for 2 years Papers: 4 papers in moderate to good IEEE conferences & 1 paper submitted to top Journal(all fir
  2. Hi guys(girls), I am applying for the Fall 2019 IEOR Ph.D. program. Is there anyone else also applied to IEOR Ph.D. If you are, you can share your story here. Also, you can ask some questions that you concern about the application, result, programs etc. About me, I have applied MIT(ORC S.M.) Columbia Berkeley Northwestern Umich VT TAM Stanford(MSE) Princeton(ORFE) Gatech. I have got an offer from VT and interviewed Umich and TAM. Since I haven't heard anything from NWU, Berkeley, and Columbia, I think the possibility for me to get admitted is very small (sad story
  3. Hi all, I am not going to ask you guys to chance me, as I know the application cycle will be an uphill battle for me from a low GPA and non-traditional background. I majored in Economics at an Ivy League with minors in Math and Statistics. I didn't do so well in the Economics with a few C's, a few A's, and mostly B's,(major GPA ~ 3.1) while my Math (mostly A's with an occasional A-), Stat, and other STEM courses such as CompSci and Econometrics was around 3.75. My cumulative GPA including the 'general ed' courses was right below 3.40, with the lowest semester being the first semester of
  4. Hi all, I am not going to ask you guys to chance me, as I know the application cycle will be an uphill battle for me from a low GPA and non-traditional background. I majored in Economics at an Ivy League with minors in Math and Statistics. I didn't do so well in the Economics with a few C's, a few A's, and mostly B's,(major GPA ~ 3.1) while my Math (mostly A's with an occasional A-), Stat, and other STEM courses such as CompSci and Econometrics was around 3.75. My cumulative GPA including the 'general ed' courses was right below 3.40, with the lowest semester being the first semester of
  5. I (international student) got accepted into these two programs, which are quite different, but I believe both could lead me to a good position as a data scientist, in the US preferably. I am struggling to make a decision. On the one hand, NYU's 2-year Master is a top-10 program in the subject that would allow me to dive deep into data science core subjects as well as to do an internship during the summer. I feel that I would learn a lot in this program, get to know a commnity that is doing cutting edge work on the field and, hopefully, access good job opportunities The program is expensiv
  6. I want to go into industry after my masters. I have a couple of questions, seriously torn between the two options. Both Berkeley and Michigan are my dream schools :/ a) Do employers view a MEng differently? Is the one-year duration a handicap for a student fresh out of undergrad, in that is it harder to secure a job? Also, wouldn't the technical depth of the program be less as compared to that of an MS? Is the Berkeley tag, alumni base and industry exposure superior to that of Michigan? c) Are there enough jobs in Mechanical Engineering in the US? IEOR seems to be the safer be
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