Jump to content

Search the Community

Showing results for tags 'ieor'.



More search options

  • Search By Tags

    Type tags separated by commas.
  • Search By Author

Content Type


Forums

  • Comment Card
    • Announcements
    • Comments, Questions, Etc.
  • The Cafe
    • City Guide
    • IHOG: International House of Grads
    • The Lobby
  • Applying to Graduate School
    • The April 15th is this week! Freak-out forum.
    • Applications
    • Questions and Answers
    • Waiting it Out
    • Decisions, Decisions
    • The Bank
  • Grad School Life
    • Meet and Greet
    • Officially Grads
    • Coursework, Advising, and Exams
    • Research
    • Teaching
    • Writing, Presenting and Publishing
    • Jobs
  • The Menu
    • Applied Sciences & Mathematics
    • Arts
    • Humanities
    • Interdisciplinary Studies
    • Life Sciences
    • Physical Sciences
    • Professional Programs
    • Social Sciences

Blogs

  • An Optimist's PhD Blog
  • coyabean's Blog
  • Saved for a Rainy Day
  • To infinity and beyond
  • captiv8ed's Blog
  • Pea-Jay's Educational Journey
  • Procrastinating
  • alexis' Blog
  • grassroots and bamboo shoots.
  • Ridgey's blog
  • ScreamingHairyArmadillo's Blog
  • amyeray's Blog
  • Blemo Girl's Guide to Grad School
  • Psychdork's Blog
  • missesENG's Blog
  • bgk's Blog
  • Tall Chai Latte's blog
  • PhD is for Chumps
  • bloggin'
  • NY or KY
  • Deadlines Blog Ferment
  • Going All In
  • In Itinere ad Eruditus
  • Adventures in Grad School-ing
  • inafuturelife
  • The Alchemist's Path
  • The Rocking Blog
  • And Here We Go!
  • Presbygeek's Blog
  • zennin' it
  • Magical Mystery Tour
  • A Beggar's Blog
  • A Senseless Game
  • Jumping into the Fray
  • Asian Studies Masters
  • Around the Block Again
  • A complicated affair
  • Click My Heels Three Times and Get In
  • dimanche0829's Blog
  • Computer Science Crossed Fingers
  • To the Lighthouse
  • Blog of Abnormally Aberrant
  • MissMoneyJenny's Blog
  • Two Masters, an Archive and Tea
  • 20/20 Hindsight
  • Right Now I'm A-Roaming
  • A Future Historian's Journey to PhD
  • St Andrews Lynx's Blog
  • Amerz's Blog
  • Musings of a Biotech Babe
  • TheFez's Blog
  • PhD, Please!
  • Blooming Ecologist
  • Brittle Ductile Transitions
  • Pleiotropic Notions
  • EdTech Enthusiast
  • The Many Flavors of Rhetoric
  • Expanding Horizons
  • Yes, and...
  • Flailing Upward
  • Traumatized, Exhausted, and Still Going
  • Straight Outta Undergrad!
  • A Hitchhikers Guide to Transferring PhD Programs
  • Conquering College Admissions
  • Reflections of an Older Student.

Find results in...

Find results that contain...


Date Created

  • Start

    End


Last Updated

  • Start

    End


Filter by number of...

Joined

  • Start

    End


Group


AIM


MSN


Website URL


ICQ


Yahoo


Jabber


Skype


Pronouns


Location


Interests


Program

Found 5 results

  1. 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.
  2. 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.
  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. 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!
  5. 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!
×
×
  • Create New...

Important Information

By using this site, you agree to our Terms of Use and Privacy Policy.