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Found 7 results

  1. Hey y'all, I'm applying to IEOR and related PhDs for Fall 2022. I've had a few interviews (Georgia Tech, Northwestern, Berkeley) but still waiting for most of my top choices. Trying to figure if people have started hearing back from MIT, Stanford, or Columbia? If you're applying to any of these or other similar programs, I'd love to hear your story. I'm sure now is a tricky time for most of us so hopefully this thread helps ease some of the anxiety!
  2. 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 first authored) Received 2 grants externally for papers. Invited as a Reviewer in few Top conferences Patent: 1 provisional patent in optimization and time series prediction of cyber physical system 2 relevant internship in analytics and ML (1 famous + 1 not so famous firm) Will have 9 months of Work ex in august 2021 (at the time of Joining) as a analyst in fortune 100 firm Great extra curricular achievements and Leadership position while in my Undergraduate Few good academic projects with grants. I am open to joining applied math/Applied Stats/Applied and computational mathematics kind of programs also. Thanks in advance.
  3. 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 Anyway, good luck with your applications. And thank in advance for your sharing.
  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 my third year. I finish both my senior semesters with a 3.9. It seems that my GPA progression is hyperbolic and concaved upwards over the semesters. I will have taken up to Real Analysis, scoring A-/A in my math courses from undergrad and graduate institutions. Now, I am enrolled in my final year in a statistics masters program at a mid tier state school (to be specific - mid tier for statistics) and will be expecting a final GPA between 3.8-4.0. I will also be completing a master's paper on the topic comparing multivariate time series models using foreign exchange data (not a publication in a journal). My interest lies in financial engineering and multivariate statistics. My GRE is V:160/Q:166/W:4 (I plan on retaking. Also I am taking the GRE Math subject to hopefully scoring between the 50th to 70th percentile. The higher the better but without the math major, I don't know how feasible it is.) I have around 1 year of work experience in finance and data analytics (business strategy) as I recently finished my undergrad. So my questions for PhD programs are: 1) Besides the big names such as Columbia, Princeton, Cornell, and Berkeley, where else offers such programs with respect to my interest in financial engineering and high dimensional statistics? I'd like to stay on the coasts. 2) Which schools are more reasonable to be set as target schools? 3) Is it worth my while to work towards a post-bac in math to compensate for the GPA and gain the necessary coursework? Any advice would be much appreciated.
  5. 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 my third year. I finish both my senior semesters with a 3.9. It seems that my GPA progression is hyperbolic and concaved upwards over the semesters. I will have taken up to Real Analysis, scoring A-/A in my math courses from undergrad and graduate institutions. Now, I am enrolled in my final year in a statistics masters program at a mid tier state school (to be specific - mid tier for statistics) and will be expecting a final GPA between 3.8-4.0. I will also be completing a master's paper on the topic comparing multivariate time series models using foreign exchange data (not a publication in a journal). My interest lies in financial engineering and multivariate statistics. My GRE is V:160/Q:166/W:4 (I plan on retaking. Also I am taking the GRE Math subject to hopefully scoring between the 50th to 70th percentile. The higher the better but without the math major, I don't know how feasible it is.) I have around 1 year of work experience in finance and data analytics (business strategy) as I recently finished my undergrad. So my questions for PhD programs are: 1) Besides the big names such as Columbia, Princeton, Cornell, and Berkeley, where else offers such programs with respect to my interest in financial engineering and high dimensional statistics? I'd like to stay on the coasts. 2) Which schools are more reasonable to be set as target schools? 3) Is it worth my while to work towards a post-bac in math to compensate for the GPA and gain the necessary coursework? Any advice would be much appreciated.
  6. 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 expensive, though, and I have not received any financial support. On the other hand, Berkeley's 1-year program combines technical courses with business-oriented topics. This means there will be considerably less time to invest in pure data science work. IEOR is a very broad area but ideally I would specialize on analytics, which could get me closer to the kind of jobs I want. I know MEng alumni have pursued careers in data science and similar positions before. Of course, this program has Berkeley's amazing prestige and faculty behind it, plus a lot of networking oppportunities. Besides, it will be significantly less expensive than NYU's MS, since this is a one year program and I have been awarded a $16k grant. Any thoughts on making a decision? Thank you!
  7. 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 bet. P.S. I'm an international student. Thank you!
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