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Found 46 results

  1. There seem to be a lot of threads asking the same thing popping up lately and I figured it might make sense to make an overall guide thread and then those who feel their answers still haven’t been adequately answered can post below for an idea of what their chances are. Here is a brief rundown of factors affecting your likelihood of getting into top-tier and well respected programs. If you fall below par in any one of these factors you can bump it up by being stellar in one of the others. I'll add to this if others point out other things I've left out. School requirements: Your first stop should be the school admissions website – this will tell you what prerequisites you need, give you an idea of GRE and GPA requirements and what work experience is expected (if any) GPA: From what I’ve seen/read over the years any GPA over 3.4 and you should be competitive. That’s not to say if your GPA is lower than 3.4 you’ll have no chance, but if you have a GPA above 3.4 you should be in good shape. GRE score: GRE scores seem to be most important for schools with demanding quantitative programs and for securing the top financial aid. Most schools will state the average GRE scores for their incoming classes on their website – use these to see how competitive you are. By and large you should be competitive if you score over 650 on verbal and quantitative and over 4.0 on the AWA. For the top schools over 700 seems to be closer to the mark. Work experience: For most programs it will be expected that you have at least 1-2 years of relevant experience in your field. This can be lowered a little if you have other pseudo-relevant work experience (management in the for-profit sector etc.) but you should have shown some level of professional interest in the area you hope to study at grad school. Applicants coming straight out of undergrad may find it very hard to get into the programs aimed more at junior/mid-career professionals such as Johns Hopkins SAIS and Princeton’s WWS. Language skills: For a lot of programs being able to speak a second language is a must, while for others it is just a very good selling point. If you can show experience working in a foreign language this will show adaptability and will endear schools looking to enrol a diverse group of applicants. Quantitative requirements: A lot of schools will want you to show experience in micro/macroeconomics and some maths/statistics courses. You can fullfil these through undergrad classes or by taking courses at a community college/diploma program. Overseas experience (work, study and teaching): Work overseas and study abroad are also viewed extremely favourably by admissions committees and if you have taught English abroad, worked in the Peace Corps or otherwise gained experience living in a developing country this will really strengthen your application. It also shows you to be a go-getter, and that you can bring this outside experience to grad school study. Statement of Purpose: This is where it all comes together. This is your chance to impress the admission committee and show how your personal 'arc' has brought you to this point - being the perfect addition to their grad school. This more than any other part of your application will determine how admit committees view you as an applicant and it's also one of the only application variables that's completely under your control. Having a cohesive narrative that brings together life experience, past academic history and professional experience is a must. It also gives you a great chance to showcase your writing style - so make sure no grammar/spelling mistakes make it into your final revision. Great list of SOP pitfalls If your profile matches at least 3 or 4 of the criteria listed above then you are competitive to apply to an MPA/MPP/IR program. What is most important about any grad school application is showing fit – that is how your profile matches the speciality of that school and its program. If you can’t articulate compelling reasons why you are a good match for them and vice versa, question whether you should be applying to that program. A note on applying to top schools: It is worth noting that nobody here can tell you what your chances of getting into a top program (Harvard, Princeton, Georgetown etc.) because getting into a top program requires a certain amount of luck as well as a great profile. Some people get offers from Harvard with a 2.9 GPA, but also happen to have singlehandedly retaken an allied command post in the Korengal valley. It’s down to who reads your application and what they happen to be looking for with the current application cycle. Spend time improving the elements of your application that you can (GRE, work experience, languages) and don’t waste time freaking out about the things you can’t change (GPA). If you’ve read all of the above and really still can’t tell if your application is competitive, post your profile below.
  2. Andromeda3921

    'Am I competitive? ' thread (Sociology)

    I went through the hugely popular 'Am I competitive'? Thread in Government Affairs and was wondering if it made sense to create an overall thread in this forum as well. I only noticed three very specific threads on here (linking the one I found to be slightly more general). Hopefully, I get answers and others who are asking themselves the same/similar questions get on here and find answers as well! Program: PhD in Sociology Schools Applying To: Columbia University, University of Chicago, Stanford University, University of Pennsylvania, National University of Singapore, University of California - Berkeley, London School of Economics, Sciences Po Long-listed Schools: Harvard University, University of California - Los Angeles, Yale University, Princeton University, University of Wisconsin - Madison, University of Amsterdam, New York University, Cornell University, Massachusetts Institute of Technology, University of North Carolina, University of Texas -Austin, Brown University, Duke University, Boston University, John's Hopkins University, Northwestern University, University of California - Irvine, University of California - San Diego, University of Maryland Interests: Urban sociology - Qualitative Transportation, Identities, Spatiality, Heritage ; Comparative Sociology; Applied Sociology; International Development; South Asia; Public Policy Expectations from Programmes: Program: Interdisciplinary, Allowing students to choose courses across departments, emphasis/known for applied approach Resources: Ongoing projects with vibrant research space, Access to funding, Encouraging collaborations, Good enough brand to ensure employment on completion of programme, preferably located in an urban area to aid fieldwork.  Graduate Institution: Indian Institute of Technology, Madras, India Graduate Major/Degree: MA in Development Studies (Integrated Course, no undergraduate degree granted separately) Graduate GPA: 7.99/10 Undergraduate Minor: Operations Research GRE: V 168/ Q 156 / AW 4.5 TOEFL: 113 (iBT) Age: 25 Languages: English & Tamil - Fluent ; German - A2 completed, B1 in progress ; Hindi - Working Knowledge Work Experience: (2 years research experience currently, 3 years professional experience by Fall 2019) > 1.4 years at Indian Center of International policy think-tank : Spearheaded research project on on-going urban policy scheme in India > Currently freelancing as urban research consultant for local organization apart from volunteering with organizations dealing in gender and mental health advocacy > Multiple research internships as student > Policy report & newspaper OpEds published > Presented in multiple International conferences since undergraduate days SoP: Not begun yet, but will focus on specific research I hope to do (along lines of a proposal) LORs: 1 from Masters supervisor (senior Indian Urbanist and extremely well known internationally for seminal work on Urban informality) ; 1 from Professor during Masters degree (rising Anthropologist in India, knows me well personally) Can obtain 1 from previous boss (Head of Research at International policy think-tank, Member of PM's Economic Advisory Council in India) - however, would be one year since I quit the job. Concerns: 1. Low Graduate GPA 2. No academic/journal publications yet 3. Applied to Northwestern, NYU, U.Penn & U.Minnesota for Sociology PhD for Fall 2018 and got rejected by 3. U.Minn placed me on the Waitlist, but did not convert to an admit Would really love feedback if I am competitive for the range of schools I plan to apply to. I am posting early only to gain an understanding of what I can fix for the next round of applications.
  3. I connected my Facebook to The GradCafe so that I could post things because I'm a little lazy with accounts and stuff. Why does everybody here use nicknames instead of their full names? Does anybody connect their Facebook to this site?
  4. Hello everyone, I have been having trouble lately matching my profile with potential MS ECE programs and would greatly appreciate it if anyone could help me with shortlisting potential MS programs to apply to. I aim to apply mostly to universities in Canada and Europe, basically anywhere but the US (as I won't be able to take the GRE in time). I am also mainly looking for research/thesis based degrees, and preferably RA/TA funded degrees. My profile: Undergrad: B.Sc. ECE from an unknown institution internationally, but known regionally and undoubtedly one of the best nationally, Score: 83%. Research Interest: Electromagnetics and optics. IELTS: 9. Publications: 1 Accepted international conference paper in my field of interest. Research Experience: A few undergrad RA experiences/internships (summer internships during undergrad). I have been working as an RA for the last few months, potentially a couple more publications are in the works. Which Canadian/European/Australian/Asian universities can I target with this profile for example for a funded research based MSc. degree? I don't want to waste time and money applying to prestigious institutions where I have no chance, so I would like to know where my 'level' is so to speak. I am an EU citizen if that makes any difference. Would really appreciate any feedback, please let me know if any extra info is needed. TIA .
  5. Hi, everybody. To be honest, I come from a rural community and don´t have the money to apply to several graduate programs. That is why I want help so I can narrow my choices and avoid spending money on application fees for universities I don´t even have a decent chance to get accepted at (I don´t know how my profile compares to average international students). Here is my profile: Major: Two at UNAM in México. One in Physics and other in Mathematics GPA: both 9.5/10 Research experience: Several posters, seminar talks and worked as associated student at various institutes TOEFL: 113 GRE: 163 V / 169 Q / 4.0 AWA Awards: Some summer schools, scholarships and finalist at math competitions I would really appreciate if anyone can have a look at my profile and give me some advice. Thank you very much in advance.
  6. I'm an international student who graduated from the UK in 2016. I'm applying for PhD programs in Biostatistics/Statistics, starting Fall 2019. Please leave some comments on my profile, especially the range of schools to which I'm applying. BSc Degrees: Mathematics with specialization in Statistics from a top-10 university worldwide GPA: Top 10/~250 Master Degree: Finance from a top-10 university worldwide GPA: Top 10/~40 Type of student: Asian male Program desired: PhD in Statistics/Biostatistics Research Experience: coauthor of one published paper on an international journal in econometrics. I have also done 2 research projects (~ 3 months each) that were outsourced by private companies. Both were related to Statistics/Data Analysis. During undergraduate studies, I had 1 individual poster project, in which I made a poster on statistical classification using LaTeX and presented to faculty members, 1 group project on Support Vector Machine and Kernel Smoothing, which also involved writing a report and presented our work to professors, and 1 individual project on Pattern Recognition, which heavily involved R programming. Teaching: 2 semesters of TA in Probability & Statistics and Time Series. I will TA another 2 semesters this year LOR: 1 from my professor in the UK, who was my personal tutor. 1 from a professor, who is currently the director of the research institution I'm working at. Both should be strong. I can get the last letter from another professor, but whether it's strong or not is a question mark. Programming: Proficient in R, MATLAB. Competent in C++, Visual Basic. Proficient in LaTeX GRE: Verbal 162, Quantitative 170, Writing 5.0 GRE Subject Math: 820. Not sure if I should retake Coursework: most were A+, some were A and 1 B in Computational Maths. My first 2 years focused on developing a rigorous mathematical background while my final year consisted of graduate level courses, mainly in advanced Statistics. First year: Foundation of Analysis, Mathematical Methods I, Mathematical Methods II, Computational Maths, Mechanics, Probability and Statistics I, Geometry and Linear Algebra, Algebra I, Real Analysis Second year: Probability and Statistics II, Algebra II, Introduction to Numerical Analysis, Analysis I, Complex Analysis, Statistical Modelling, Differential Equations, Multivariate Calculus Third year: Statistical Pattern Recognition, Applied Statistics, Stochastic Simulation, Credit Scoring I, Scientific Computing in C++, Quantitative Finance, Survival Analysis, Games Risk & Decisions Research Interests: I'm interested in high-dimensional statistics and machine learning, with applications to chronic diseases and cancer research in particular Applying to: Biostatistics: Harvard UNC Wisconsin-Madison (biostatistics track) Minnesota - Twin Cities Rochester Statistics: CMU (joint statistics and machine learning) Yale Cornell North Carolina State Michigan - Ann Abor Ohio State Penn State Note: I'm currently working for a research institution, which is part of the national university in my country. I expect some more projects in this academic year, though I'm not sure if these result in publications. It's unlikely that these will come before the application deadlines anyways. The things that concern me most is the questionable 3rd LOR and the lack of published papers (only 1 for me). I've also heard that chances are much slimmer for international students.
  7. Hi guys, I'll be applying for a 2019 PhD program. I greatly appreciate your time and advice! Below is my profile: Undergrad: Smaller state school in PA Major: Mathematics Minor: Statistics, Actuarial Science GPA: 3.9 (Only 1 B from Abstract Algebra) Type of student: Domestic White Male Program desired: PhD in statistics Research Experience: 1 published paper, 2 large projects in sports analytics. I've presented them at IFORS and SAS Global Forum (Oral presentations, not poster). Both accepted for presentation at INFORMs 2018 annual meeting. 1st was done entirely in SAS, uses SQL and IML and simulates baseball games (Win/Lose accuracy about 70%). Second is about optimizing pitcher rotations with a fully functional front-end. Coded all in Python. Starting another project within a few weeks, probably about sports, using machine learning. Teaching: 1 semester as a TA in a stats class, 4 semesters working in math tutoring center. Other: 1 actuarial internship at large insurance company in actuarial/analytics role, passed first two exams (P and FM) Programming: Strong: Python, SAS, R, SQL, Latex Proficient: C++, VBA GRE: Haven't taken yet Course Work: Calc 1-3, Mathematical Statistics 1-3, Statistical Computing, Statistical Modeling (grad level), Data Mining (grad level), Abstract Algebra, Linear Algebra( this fall), Real Analysis (this fall), Deterministic Models of Operations Research, Stochastic Models of Operations Research Plan on applying to: Ohio State Michigan NC State NC State Chapel Hill Pitt Penn State CMU Stanford Iowa State (maybe) Duke Columbia Rochester Please criticize my schools, or add any you think. I've just started the list and know I need to add quite a few more. Let me know what you think! Thanks again.
  8. Hi, I know I have a very weak academic profile, but I was wondering if I'd have any chance to get into a Stat PhD program, say top 30-40 ish. I'm currently majoring in Mathematics and Statistics at UChicago. To give you a little explanation about my low GPA, I was not thinking about academia and was mainly looking for a job in Finance until 2nd quarter of my junior year. The job I was seeking for doesn't really care about what kind of courses I take, so I took a lot of junk classes in order to compensate for my low math grades. UChicago by itself is a pretty harsh grader (GPA 3.25/4.00 makes deans list), and our math program is known to be pretty hard (have to take 1 full year of real analysis and 2/3 year of abstract algebra), but I wonder if PhD program admission's office care about this at all... I recently got interested in Statistics, so I decided to double major in it. Luckily, there are a lot of overlaps, so it's very feasible for me. I think the rigor of the classes that I took and am planning on taking are not bad, but I wonder if I'll be able to overcome my low grades. I'm willing to work a couple more years as a research assistant after I graduate if that'll make a significant difference. So to summarize, I just want to know if I have any shot to get into top 30-40 stat PhD program. If so, I still have one more year left, so I'll try my best to get grades and work as a research assistant. Thanks a lot in advance! Undergrad Institution: University of Chicago Major: Math and Statistics GPA: 3.65+ (overall), 3.3+ (Math) Type of Student: Asian international student Courses/ Background: Math: Honors Calculus 1 (B+), Calculus 3 (A), Intro to Analysis & Linear Algebra (A-), Multivariable Calculus (A), Real Analysis I (B), Real Analysis II (B+), Real Analysis III (took twice, pass/failed the first one, and got A- second time), Abstract Algebra 1 (B+), Abstract Algebra 2 (A) Stat: Elementary Statistics (A), Statistical Theory/Method-1 (B), Analysis of Categorical Data (B+), Mathematical Probability (Accelerated) (A) Others: Computer Science with Applications 1 (Pass), Computer Science with Applications 2 (B+), Computer Science with Applications 3 (A) Planning on taking: Math: Complex Analysis, Ordinary Differential Equations Stat: Nonparametric Inference, Machine Learning, Time Dependent Data GRE: Haven't taken it. (1600/1600 SAT) Research Experience: 3 months of research assistant at Booth School of Business at UChicago, helped with data mangement (wrote STATA algorithms) Awards/Honors/Recognitions: Dean's List
  9. Hi all, I am a junior year student thinking about applying for a finance/economics phd program and I need advice on how to improve my profile/what schools to apply for. Here is my background: Undergraduate: Top 10 US Ivy, major in applied math and minor in econoimcs, GPA 3.8 Research interest: macro-finance, behavioral finance, asset pricing GRE: haven't taken Math/engineering courses: Linear Algebra, ODE, PDE, dynamical systems, probability/stats, stochastic process, optimization, financial engineering, real analysis, numerical methods Econ courses: micro/macro, econometrics, financial econ, behavioral finance, game theory, time series. Research experience: currently writing a thesis on macro-finance, under the supervision of a young econ professor and an operations research professor. Also doing a project with an adjuct faculty in operation research on data science. Also will do a summer research in finance in a top quantitative hedge fund which is very academic. Recommendation: one from thesis advisor, an operations research professor slightly related to finance/econ, one from an econ professor who guided my thesis. Potential third one from the adjuct data scientist I worked for but I am concerned with the weights of a LOR from an adjuct faculty. Here is my concerns: 1. I am thinking of working 1-2 years in investment industry doing research since it can open my eyes and find more interesting/realistic topics to do research. How hard is it to go back to phd program in finance after working in the industry for a couple of years? 2. None of my professors seems to have a strong influence in finance research. Should I switch to another well known professor but may not know me too well? 3. Any suggestions on the type of schools I should apply for? I am aiming for top 10 financial econ programs, with Booth, NYU stern and Harvard being my top choice. Am I being to ambitious? Thanks.
  10. I appreciate any feedback! I know my profile is very very VERY weak, I was not aware that I wanted to apply for PhD programs until a few months ago, and I wasn't trying my hardest Freshman, Sophomore year. However, I just want to know if I have a chance getting into ANY PhD program for Statistics or Data Science. I'd prefer schools in the NJ, PA, NY, MD, DE area! Please be honest with me, if I have no chance getting into any PhD programs in any school, I need to know! Undergrad Institution: The College of New Jersey Major: Mathematics with a specialization in Statistics GPA: 2.8 (this will definitely be above a 3.0 by the time I graduate) Type of Student: White Female Upper Division Courses: Math: Calc III (C), Linear Algebra (C), Probability (C, I'm retaking this class right now and will get an 'A'), Mathematical Statistics/Statistics Theory (retaking this class next semester, will be 'A'), Bayesian and Computational Statistics (B-), Regression Analysis (B+), Multivariate Analysis (B), Design of Experiments (B-) Next Semester, and Fall 2018: Operations Research, Probability (retaking), Mathematical Statistics (retaking), Real Analysis, Statistics Capstone Others: Data Management & Analysis (A), Gen Chem (B), Physics (B-), all of the rest are liberal learning classes and I got A's or B's in all of them. GRE: haven't taken yet. Awards/Honors/Recognitions: - Pertinent Activities or Jobs: Interning with a government agency, helping them with a project that involved statistical analysis and coding in SAS and R, will be the co-author of a published report. Letters of Recommendation: -Two statistics professors (that I've had many classes with) - My data management and analysis professor Plan to apply to (Phd Statistics Programs): Anywhere where I can have some sort of a chance getting in. I need help with researching schools. Is there a good website where I can see the percentage of applicants accepted, average GRE score, etc. Thank you so much again!!
  11. Hello Folks, Well guys, I am planning for MS in CS . I need your help to evaluate my profile, and suggest universities in Canada. I have total 8 years of IT experience with organization like Cisco Systems, BMC, Atos etc. IELTS score 7.0 overall GPA 7 out of 10 10th 60% 12th 60% Please suggest. Thanks,
  12. Here is my profile, Undergrad Inst.: 1st in my country Major: Computer Science GPA: 3.78 Grad Inst.: 1st in my country Major: Computer Science GPA: 3.88 I wrote my master thesis in Bayesian statistics. I should mention that I did not take any real analysis course. Type of Student: International male GRE General: 150V, 169Q, 3AW TOEFL: Not taken yet, but expected ~100 Programs Applying: PhD in Statistics Research Experience: 1 paper was submitted and presented, 2 will be submitted before the application. Letters of Recommendation: One is from my thesis advisor, two are from math&cs professors Computing Skills: Fluent in many PLs: Python, C/C++, Java, Matlab, R, .... I've written many statistical inference programs. Applying to Where: This is where i need your suggestions. I do not know where to begin. My only criteria is I need funding. What would be my safe picks?
  13. Borun

    Profile Evaluation

    Major: CSE GRE: 300( Q-164, V-136, AWA-2.5) TOEFL: 84( R-21, L-22, S-20, W-21) CGPA: 3.72 Job experience: almost 3yrs as a software engineer Research Interest: Machine Learning, Computer Vision, Data Mining,NLP I know my profile is not good. But still there is a chance, right? I searched some universities. According to my profile, somebody can advise me to choose university correctly for Ph.D. It would be a great help to me.
  14. abnimbal-MPP

    Applying for MPP/MPA- Profile review

    Hi, I am applying for MPP/MPA program with following profile- GRE 308 (M-163, V-145, AWA-3.0) TOEFL 96 (R24,L26,S22,W24) GPA 3.7 I am having around 5 years of experience with around 3 years experience in Government of India on large scale projects. I have drafted some major policies for flagship schemes in government. Having good volunteer experience. I am having SOP aligned with dedication for serving people as well as strong LOR from from government officials. I am very keen to get into MPP and shortlisted following Universities- 1) Duke University 2) UChicago (MS-CAPP) 3) U of Austin 4) CMU Heinz 5) Ford School (Michigan) 6) University of Washington Please suggest safe university to apply. Or should I apply to Germany or Canada Universities. Kindly need help.
  15. arthurdw98

    AeroAstro application

    Hi all, This year I am applying for some top universities AeroAstro graduate programs : MIT, Stanford, Caltech, ... but I don't really know if I have a competitive profile. Could you guys tell me what you think? I am currently in third Bachelor year of polytechnic engineering at the Belgian Royal Military Academy. My score average for the last two years is 15/20 (last year 15.7/20) but there's only one guy in the school who's got more than 16/20, so I am very good. I am also formed in military fields : command, management, combat, sports, etc. I skipped three grades in elementary school. Haven't taken the GRE yet : assume AW 4-5, QR 165+, but not very good VR (maybe 160). TOEFL 110. Three good letters of recommendation. However, as I am only 19 and still in Bachelor, I have never done any research, internships or publications. Do you think this is going to penalize me? My Bachelor's thesis is about the WTW efficiency of electrical cars. Thank you all for your answers, Arthur
  16. So I've got kind of a unique situation and posted a very similar question over in the Economics subform, however I am also exploring PhD programs in PoliSci/IR and would like to get similar feedback on those. I'm currently a JD student at Yale Law School but I very much would like to be able to transition into academia at some point, perhaps sooner than later. While I initiated my legal education with a major focus on public policy and government work, I feel like graduate studies in a social science field would be beneficial in a number of ways including allowing me to keep the door open to teaching later on, something I'm intensely interested in doing and, given the fact that I'm already at YLS which places the most number of new law profs nationwide feel it would be good to take advantage of that and set myself on a course that would allow me to teach easily. However, aside from teaching and academia, I feel like it may still be worthwhile for a career path involving international law and foreign policy at places like the State Dept. In any case, I've decided that I'd like to at least explore the option of doing graduate studies in International Relations (which I majored in undergrad along with Economics) after I complete law school. But given that this is an entirely new idea to me that I haven't really explored much in the past, I don't know much about how the process works and right now just want to get feelers as to how an applicant with a background like mine would even be viewed and potentially what I should start thinking about right now if I want to apply in a few years. Not necessarily looking for feedback on whether this is even a worthwhile endeavor for a JD student...those conversations I will be having with professors I know who know my background and goals better, including a professor I have who did basically this exact same thing (PhD after JD). For now I'm just curious about whether I'd even be able to get into a program to make this worthwhile Background on me-- - JD student at YLS - Majored in Political Science and Economics in undergrad, graduated with a 4.0 and almost all A+'s in my Econ classes. I have decent relationships with my political science professors but only one professor that really knows me and my work well (she was my senior thesis advisor, and my senior thesis was in IR and political psychology). Neither my PoliSci nor Econ degrees were hugely quantitative so I worry about not having a quant background that may be looked for. I did get through multivariable calc in college and did excellent in my courses, but other than my senior thesis I didn't do other independent research. In addition, I went to a UC and, with large class sizes and professors that don't make teaching a priority, even though I did really well I feel like I may not have the requisites that a grad program would look for. I would have the opportunity to produce even more major research projects at YLS, however I'm not sure if a PhD program would really care about this type of work. - Haven't taken the GRE yet but i'm typically very good at standardized tests, I got 99th percentile on the LSAT, so I'm confident I could knock that out How would schools view an application from a JD student interested in teaching (perhaps, law teaching)? Does it help at all coming from YLS? Will publishing while in law school help? And how much of an impact will not having research experience in undergrad outside of a senior thesis hurt? Appreciate the feedback
  17. Hey New gradcafe user and prospective MS applicant for an MS in Operations Research / Statistics / Management Science for Fall 2018. Please evaluate my profile and whether I'm being too ambitious/do I stand a chance here? Key features of my profile - Low undergrad GPA, high quant GRE score, related work ex Here's my profile followed by an initial university shortlist GRE 324 - Q 166 (91st percentile) V 158 (80th percentile) (Might give again to offset low undergrad GPA) TOEFL - Yet to give Undergrad CGPA - 6.3/10 from the National Institute of Technology Warangal in Mechanical Engg - Top 10 India for engineering Work Experience - 3 years 1.5 years - Data Analyst for a Fortune 200 MNC (1 promotion) + 3 good projects - Quantitative Sales/Marketing analytics 1.5 years - Senior Analyst for a Loyalty Card company (jump in designation from previous org) Fair amount of projects on quantitative modelling work Research papers/Publications: None Certifications: 1. SAS certified base programmer 2. SAS certified statistical business analyst: Regression and Modelling 3. Machine Learning from Coursera Recommendations: 1. HOD from work - ex prof at a premier MBA school in India - Strong 2. Team Leader from previous org - Moderate 3. Professor from college - Moderate SOP structure: Considering that my weakest point is my undergrad GPA, I'll bring in a point about how I messed up the first year but post that my gpa has been increasing plus ever since starting work I've been really driven and talk about my projects as proof. Programs I'm looking to apply for: 1. Statistics (with electives from the CS department) 2. Operations Research Not applying for "Analytics" or "Data Science" masters because I feel such programs have breadth but seriously lack depth. Current university shortlist: 1. Columbia 2. University of Chicago 3. UCLA 4. Georgia Tech 5. University of Michigan 6. John Hopkins 7. University of North Carolina at Chapel Hill 8. University of Illinois at Urbana Champaign 9. Duke 10. Cornell Questions: 1. What is my profile like? 2. How would you categorise the above universities considering my profile as Safe, Moderate, Ambitious and reasons for the same? 3. Thoughts on the SOP structure?
  18. Hello everyone! I'm just gearing up to finalize a list of schools to apply to, and just wanted some guidance on that, given my profile. I just want to make sure I'm being realistic. I'm set on applying to an MA program, and not a PhD, even though I will graduate with an MA in a few month in a different area- simply because I'm not sure if I'm ready to put in the commitment of PhD level research just yet, but still want to kind of dip my toes in the political science field. I'd just really appreciate knowing what I can expect, or where I should be applying realistically, and how competitive my profile is. Thanks! Undergraduate +Graduate Institution: Number 1 ranked (or within top three, depending on the ranking list checked) University in India by Ministry of Human Resource Development. Undergraduate + Graduate Degree: 5 year Integrated MA in Development Studies, minor in Economics (i.e. you do a BA and an MA coursework in the five year period, but you graduate with an MA) GPA: 8.57/10.0 (apparently converts to around 3.6 on a 4 point scale, roughly)- I'll improve it, but the 8.57 is what will go in applications GRE: verbal- 163, quant-160, analytical writing- 5.5 TOEFL- 119/120 on the internet based test internships/work- I'm a founding member of a small NGO that works in my country, i've interned at a tech start up, and at the World Bank. Teaching experience: TA for my thesis guide Research Experience: My MA thesis is just currently underway, and that won't get done till the end of the year. Letters of Recommendation: Will get from tenured faculty members- most of whom have their PhDs from top universities in India, or in the US. Research Interests- American politics/ elections Just a note on the TOEFL- I've only taken it just in case. I'm an American studying abroad in an institution where the medium of instruction is english. So most schools seem to say it's unnecessary but it's also very unclear to me. So, just in case. I'm looking at applying to terminal MA programs in the US- preferably around Washington DC/New York, and preferably top 20-30 programs. Is that at all realistic? Thanks a bunch! Any advice at all will really help me decide how to go about this!
  19. Hello Everyone, I'm new here and of course the first post I make has to be about "How competitive am I as an applicant?" My basic problem is that I don't know what range of schools I should even be looking at. I am looking into Materials engineering programs and related research at places like UC San Diego, Ohio State, University of Illinois Urbana-Champaign, Penn State etc. I have heard from my fatigue analysis prof that they have very good programs and he has personally worked with several professors from those schools. Or if I should focus on schools further down on rankings with less diverse research going on such as University of Colorado Boulder. I'm not sure 100% what I want to research to be honest. I'm generally interested in Materials engineering and improving materials manufacturing and processing for better designs. Research on fatigue in composites is interesting currently. I suppose i'm more excited about research that directly relates to design decisions and methods, but I guess everyone would say that about their own research. I'm graduating this spring with a B.S. in Mechanical Engineering from George Mason University. Current GPA: (3.27/4.0), That will certainly be better over the next two semesters, but not when applications are sent out in December. GRE: 159V 162Q 4.5W LORs: Professor who does fatigue research at University of Maryland, taught two of my materials related tech electives. Is helping me with this search, I participate a lot in his classes as they are the most interesting ones i've taken. Great guy. Professor who has been by advisor all throughout undergrad. Have been in his Thermo 2 and heat transfer classes. We've talked a lot through the years. Former Boss from Williams Notaro if 3 LoRs are needed. I was well liked at that job, did good work and made sure I knew what I was doing and asked questions before making mistakes (if possible). Engineering Work Experience: If you count FIRST Robotics at all, I did that for 4 years in high school. Was one of a small team of primary designers for the robots and the main person putting that design into CAD iterating on it. Two years at a Home Care Robotics Startup (INF Robotics). Was in charge of designing all mechanical systems for the prototype, and fabricating many of them. The Beta models were outsourced for manufacturing under my coordination. There were many advantages to working here, but the issue of having no mentor was a large one. I could mostly go off of what I previously had done or research into the field. I wanted to stop doing robotics for a while, and not wanting to work for a startup, and got my next job. 7 Months at a 12 person MEP consulting firm doing many large and many smaller projects. Williams Notaro worked on a few larger scale projects like the new Navy Federal Credit Union and Boat USA's new building. Each of these projects I helped with drafting in AutoCAD as well as checking everything was okay from a technical standpoint while drafting. While I wasn't a PE of any sorts, the team made sure to educate me, and I read up on my own about how all of these systems worked. So it was my job not just to draft markups or existing conditions, but also understand what everything represents and if it makes sense. It certainly wasn't the most cutting edge technology, but the methodology behind it was very interesting and I learned a lot by reading up on why all of these systems are designed how they are. There was a lot that I didn't know that I didn't know, it was a great time. Research Experience: Senior Design this year is in progress. Design of a UAV protection cage of minimal weight and minimum aerodynamic detriment. Will be using a lot of FEA and CFD in design and testing to validate. Undergrad Research Assistant this semester. The work is generally on developing models to describe the deformation and "failure" of Lithium Ion Batteries under various conditions. This current line of research is on modeling the deformation specifically of the Anode/Cathode polymer separator. The current work I am doing is related to image processing from a SEM and seeing if I can track deformation of certain voids as they grow. Still very early in the process If anyone can give me some clue of where to look, I'd appreciate it greatly. Thanks so much. Glad I discovered this forum. There is plenty of great information here on living in different cities and the whole process of graduate school. -Joe
  20. Undergrad Institution: Top International School Major(s): Mathematics Minor(s): Computer Science GPA: 3.33/4.3 (major GPA: 3.56) Type of Student: International Asian Female GRE General Test: Q: 170 (97%) V: 159 (83%) W: 4.0 (60%) GRE Math Sub: 790(77%) will take again Programs Applying: Applied Math PhD/MS, Statistics MS, OR MS Research Experience: Summer Research @Top3 Applied Math Institute in the US, Undergraduate Supervised Study (Reading Course) at top math school in the US Awards/Honors/Recognitions: Pertinent Activities or Jobs: 4 month internship at a startup company as BI developer Letters of Recommendation: Two from Professors that I have done research/reading with and one that I have taken advanced analysis course with. They are all from very prestigious school in the US. One from home institution. Any Miscellaneous Points that Might Help: One semester exchange at a top3 public school in the US, got straight A in math&stat classes (3 math, 1 stat). Programs considering: Reach(Throwing money away): NYU Courant, PhD Mathematics UNIVERSITY OF CALIFORNIA,BERKELEY, PhD Statistics California Institute of Technology, PhD Computing and Mathematical Sciences Brown, PhD Applied Math GeorgiaTech, PhD Computational Science and Engineering Umichigan, PhD Applied and Interdisciplinary Mathematics Match (Would be very very happy if got into any one of these): UCSB, PhD Applied Math UCSD, PhD Applied Math Purdue, PhD Applied Math PennState, PhD Applied Math Upenn, Master in Applied Math and Computational Sciences Stony Brook, PhD in Applied Math CMU, MSIN (Master) Safe(..?): Yale, MS in statistics Harvard, MS in statistics Columbia, MS in statistics/data science Do you think my profile is competitive for the schools on the list? I'm still trying to find more schools that are more of a safety/match given my low GPA. I would like to hear your advice on my school selection!
  21. Hello. My name is Madhuvanthi. I am from India. I really need some help/advice regarding my Graduate applications. I am looking forward to apply for PhD in behavioural neuroscience for the fall 2018 batch. I have a BA in JPE ( journalism, psychology and English) where I scored 69.43%, and have pursued masters in psychology( MSc Psychology) with a CGPA of 7.14, both from India. I have a master's dissertation which i wrote during my final semester. I worked for a year for an IB school. I am taking the GRE in September mid. I am really confused about several things. I don't really know how strong my profile is. I did find a few universities which aligned with my interests but i want to know whether i have a chance to get into those universities. Some of those universities are Stony brook university, Northeastern university, Arizona state university and Boston university. it would be helpful if you could rate my profile and suggest me a few universities in the US.
  22. Undergrad Institution: Low-ranked non-flagship state school Major: Mathematics, CS minor GPA: 3.95 (4.0 in math) Type of Student: DWM Upper Division Courses: Real I/II, Mathematical Statistics, Categorical Data Analysis, Abstract Algebra, DEQ, Set Theory (grad level) GRE: 169V/170Q/5.5W Awards/Honors/Recognitions: Generic math department awards/ high gpa awards Research experience: Past summer at top 15 biostatistics department in clinical trials, two working papers in stat, one r&r in graph theory Pertinent Activities or Jobs: Student teaching assistant in math department Letters of Recommendation: Math department chair, young stat professor from department, leader of data coordinating center from top 15 biostat department Research Interest: Clinical trials, specifically Phase I and Phase II (I want small grant hell for the rest of my life), and structural neuroimaging (Plan) to apply to (PhD Biostatistics Programs): Harvard Johns Hopkins UNC Michigan Emory Minnesota Florida State (hopefully safety) SMU (hopefully safety) Possibly (PhD Statistics): Purdue Texas A&M South Carolina (safety) Random: Notre Dame AMSC (one adviser in particular) I worry I may be aiming too high on the biostats side. I would love anyone's opinion/advice! Thank you all in advance.
  23. Hey, I am a Canadian looking to apply to (Bio)statistics programs for the Fall 2018 term. I think my profile would do pretty well at some Canadian universities, but I have no clue what my chances are at US universities and I don't want to spend too much money on a bunch of schools that will likely reject me. So here's my profile. Please let me know what you (honestly) think. Undergrad Institution: One of the big Math/Statistics schools in Canada (one of U of T, U of Waterloo, UBC) Major(s): Statistics and Math Minor(s): GPA: Cumulative: 3.89/4.0, Major: 3.93/4.0 Type of Student: Canadian Male Calculus 1-3 (A+, A, A-). Linear Algebra 1-2: (A, A-). Advanced calculus / introductory real analysis (A+). Abstract Algebra 1-2 (A+, A+). Mathematical Logic (A+). Mathematical Statistics (a la Bain/Engelhardt, A+). Regression (A+). Computational methods in Statistics (A+). Introductory stochastic processes (A+). I haven't taken the GREs yet. GRE General Test: N/A Q: V: W: Programs Applying: Statistics and Biostatistics Research Experience: One part time RA with a Statistics professor. One full time RA with a different Statistics professor. Awards/Honors/Recognitions: NSERC USRA (I believe this is similar to REUs in the US) Pertinent Activities or Jobs: Worked as a Software Engineer at a couple tech companies and as a Junior Statistician at a medical institution. Letters of Recommendation: Probably 4. Did research in some capacity with all 4. At least two of them should be very good. Any Miscellaneous Points that Might Help: Dropped a math course to make time for part-time research. This might be seen as a bad thing. Also, I am currently working on a paper but it likely won't be published until after I submit my application. However, one of my letters of rec will likely speak about it. Applying to Where: Have not decided yet. I'm looking for input here. I am heavily biased towards universities in (or close to) larger cities and schools that accept many applicants. As such, I've currently thought of: (All Statistics and/or Biostatistics PhD) Columbia Harvard UWashington-Seattle University of Minnesota - twin cities UCLA Boston University Emory North Carolina State University UChicago UPenn I'll also apply to a few Canadian schools. Thanks for your help!
  24. June_T

    Suggestions and advice needed

    Hi, I am 28 and a business graduate from a developing country. I graduated last year and worked as a financial analyst for 10 months. I would like to go for a second masters degree preferably in International Business. I am sharing my profile and would like you all to take a look and comment on the chance I have of being accepted by any North American University (especially Canada) next fall. FYI, aiming for Mcgill, Queen's and Western. BBA (finance): CGPA 3.09; 3 month internship MBA (finance): CGPA 3.50; no publications Job experience: 10months as a financial analyst at a multinational Venture Capital After leaving my job last August, I sat for cfa level 1 last December and sucessfully passed the exam. I haven't been working since then and have passed basic french course and now preparing to sit for GRE later this July. Suggest ways so that I can improve my profile before applying next fall. Your comments would be appreciated. Thanks!
  25. Swayam

    Request for profile evaluation

    International applicant . GRE - 323 . Q - 163 , V - 160 , AWA -3.5. TOEFL - 116/120 . Completed Bachelors (best ranked university in country, 73%) and Masters degree(one of top 10 public universities, 9.16 CGPA) in Economics. Interested in New institutional Econ, Cultural Econ. 2 summer internships (one from well known institute). No paper publications. Looking to apply to UCLA, UMass Amherst, SUNY Buffalo,Michigan, Northwestern, Duke University, Erasmus for PhD Econ 2018. Is Q score on GRE too low ? Can I take the GRE-advanced Math to show an improvement over General GRE ? Suggestions for other colleges. Thank you !
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