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  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. Hi everyone, This May I graduated with a sociology degree. My goal is to become a social science researcher. Because the field of social science research is going toward a quantitative direction, I plan to apply to applied statistics masters program this fall. After masters, I plan to work in the Industry for a few years, and then apply for a social science PhD. (economics, public policy, political science, sociology..). I will really appreciate it if you can give me some advice. Undergraduate Institution: Top 10 Liberal Arts College Majors: Sociology Minor: Statistics GPA: 3.73/4.0 Math/Statistics GPA: 3.82/4.0 Type of Student: International Asian Male Related Courses taken: Calc II (4.0/4.0) Calc III (3.7/4.0) Linear Algebra (3.7/4.0) Probability (3.7/4.0) Econometrics (using Stata) (3.3/4.0) Applied Multivariate Statistics Analysis (using R) (4.0/4.0) GRE General Test: V:165/Q:167/W:5 Research Experience: None in statistics or Math. Two summers of research assistant experience for a sociology professor (not quantitative). One year of teaching assistant experience for social theory courses. A conference presentation at 2019 American Sociological Association Annual Meeting. Working Experience: Research Assistant for a large social science research organization since this July. Working on projects that heavily involve quantitative analysis (Stata, R, SPSS, SAS...). Collaborating with senior researchers on a quantitative research paper for journal resubmission. Letters of Recommendation: Two from math/statistics professors (probability and Applied Multivariate Statistics Analysis) who told me that they will write strong letters of recommendation. For the third one, I am considering asking either my sociology advisor (who knows me very well and views me very highly in terms of social science potential. But he does not do quantitative work), or a senior researcher that I am working with on a quantitative project at work. Currently considering Masters programs: Berkeley statistics CMU statistical practice UNC Data Science and Analytics Wisconsin statistics Michigan applied statistics NCSU statistics Cornell applied statistics UCLA applied statistics Ohio State applied statistics Rice professional statistics Georgetown applied math and Statistics Also considering these masters programs: Columbia Quantitative methods in Social Science Chicago Computational Social Science Do I have a shot in getting into these programs? Should I apply to more lower-ranked programs? What are other statistics programs that would be a good fit for my level of background? Should I ask my sociology advisor from college or a senior researcher at work to write me the third letter of recommendation? Thank you!
  3. I'm an international student from South Korea, and I would like some feedback on the schools that I've chosen to apply to. My stats are: Undergrad Institution: Top 3 in South Korea (Korea or Yonsei) Major: 1st major - Business , 2nd major - Statistics GPA: 4.20/4.5 (96.6 / 100 or about 3.77 / 4.00 approximately depending on the conversion policy) Student Type: International Asian Male GRE General Test: 163 Verbal (93%) , 169 Quant (95%) , 4.5 Analytical Writing (81%) Courses: Math - Calculus I (A+), Calculus II (A) (In our school, calc I/II covers all up to multivariable), Linear Algebra I (A+), Linear Algebra II (A+), Analysis I (A+, used Rudin's PMA), Analysis II (A+), Real Analysis (A), Topology I (A+), Game theory (A+) Statistics - Multivariate Statistics Analysis (A+), Mathematical Statistics (A+), Regression Analysis (A+), Categorical Data Analysis (A), Intro to Probability Theory (B+), Sampling Theory (B) Computer Science & others - Statistical Computer Software (B+), Fundamentals of Data Science (A), Computer Science using python (EdX course from MIT, pass), Microeconomics (A+), Data Management & Business Intelligence (A+), and plenty of other finance/business courses that I think don't really matter Courses I Plan to Take (Before Graduation) : Differential Equations, Algorithms Research Experience: 1. Worked as a lab intern for a year at the industrial engineering department's supply chain value analytics lab. Helped mostly on analyzing sensor data and conducting predictive analytics for equipment fault detection. Applied LSTM models on equipment time series data to predict future equipment failures using Python. 2. Just Started working at a hospital (Arguably the best in South Korea) as a data analytics intern. Currently working on applying ML methods on genome data Programs Applying: PhD in Statistics Awards/honors: Semester High Honers for 4 consecutive years Programming Experience: Python (Keras, Pandas, Pymssql, SQLlite3), R, SQL, SAS, Latex Letters of Recommendation: One professor from the Supply chain value analytics lab (Strong, professor is from the industrial engineering dept), One professor from the Statistics dept (Strong, have taken his class and received good grades, kept in touch regularly), One professor from the Statistics dept (not as strong as the rest, just received good grades in her class), One from the Math dept (taken Analysis I/II from him and received good grades) Applying to where: Reach: Texas A&M, UCLA, UNC, U Minnesota, Penn State Normal & Safeties: Ohio State, UC Davis, UIUC, Purdue, UFlorida, UConn Concerns: 1. Worried about not having stellar stats for an international student. Especially not having the Math GRE Subject Score 2. Not sure if the list of schools is appropriate for my stats. Would really appreciate any feedback/ comments! 3. Worried about the B in sampling theory, and B+ in Prob theory and statistical computer software 4. Wondering if I have taken enough math courses. Especially considering that I've switched fields from business to stats 5. Any thoughts, comments, or just friendly words of advice would be really appreciated!
  4. Any recommendations for schools I should go for would be great, not really sure if I’m reaching too far with my current choices considering my lack of research experience. Undergrad Institution: Top 50 Public School Major: Math – Minors in Business, Computer Science, Statistical Modeling GPA: 3.94 Student Type: White Female GRE General Test: 165 Verbal, 170 Quant, 4 Analytical Courses: Linear Algebra Honors (A-), Probability (A), Calc 2 (B+), Diff Eq (A), Mathematical Statistics (A), Decision Analytics (A), Predictive Analytics (A), Applied Regression and Time Series (A), Intro to Stochastic Processes (A) Courses I Plan to Take (Before Graduation) : Two grad level statistics courses meant for first year PhDs, Real Analysis Research Experience: Bioinformatics freshman research. Did data analysis consulting for my university (kind of research). Two internships doing quant/trading work for finance firms. Going to be writing an undergrad thesis on applications of behavioral finance. Programs Applying: PhD in Statistics Awards/honors: Part of interdisciplinary honors program, 2 departmental scholarships Programming Experience: Python, R Letters of Recommendation: One from the professor who is supervising my thesis, one from a former supervisor at a job (has a PhD), one from a professor who has taught three different classes I took (but only has a Masters). Applying to where: Duke Harvard Chicago ??? Concerns: not enough research experience, also coming from a public school vs. private. Thanks!
  5. I finished my masters in Data Analytics in May. Now I want to go for a PhD in statistics. Undergrad: Computer Science at Illinois State University GPA 2.9, 3.3 in major Good grades in CS classes (As & Bs) not as good in math classes for my (unfinished) minor. One repeat and one D. Grad: Data Analytics at University of Illinois Springfield GPA: 3.7 GRE (from four years ago): Verbal 166 (97%), Quant. 157 (64%), Writing 3.5 (39%) -- I plan to take this again in September and will study more for the Quant portion! Master's closure project in machine learning and natural language processing. LoR: One confirmed from master's capstone class, pretty sure he was impressed with my project/work. Could ask for one from manager at on-campus min. wage job. Her letter might be relevant for a TA position... Not sure about #3... Research: None really. My MS program was entirely focused on getting a job. (Only one prof ever mentioned his research!) My research interests are in machine learning and creating new algorithms using statistics. My top choice is Univ of Illinois UC. Should I apply to the MS program and switch after a year? Or is there a chance of acceptance into a PhD program? If it matters I'm a female domestic, Illinois resident. Thanks for any advice!
  6. Hi all, I'm a senior undergrad in the US graduating in the spring. I'm applying to PhD programs in statistics for fall 2020. I posted my profile recently and got great feedback, and I was wondering about a few more things: 1. I changed the list of schools I'm applying to, do they seem reasonable? I wanted to apply to more reach schools to give myself a better chance of getting into one, while also applying to enough lower ranked schools to not feel worried about getting into zero schools. 2. If I'm okay with doing a master's instead of a phd(in preparation for a phd), in general will it hurt me to apply for the phd programs? I.e. are there schools where you would get rejected outright(not even offered a master's) if you applied for the phd program but where you be accepted had you only applied for the master's? Undergrad Institution: Large public university ranked top 20 in math by US news Major(s): Applied Mathematics GPA: 3.89 GRE General Test: Q: 166 (89%) V: 165 (96%) W: 4.0 (57%) Math Subject Test: (probably won't take) Programs Applying: Statistics PhD/M.S Research Experience: Did a project related to Dynamical Systems with an applied math professor, and this summer have been doing a project with a statistics professor that I'll continue into the fall semester. Letters of Recommendation: Two from the professors I did projects with. The applied math professor will probably write an at least ok letter and I think the stats prof will be able to write a strong one. I'm going to ask a physics prof I took quantum mechanics with for the last letter because I did very well and I thought he liked me. Grades: Mathematics: Calc III(took in hs and it stayed on my transcript :///) (B), Linear Algebra and Differential Equations(honors and proof based) (A), Multi-Variable Calculus(honors and proof based) (A), "Applied Mathematical Analysis" which was a mixture of harder calc III and some complex analysis(honors) (A), Intro. to PDEs (B), Analysis I, II (A, A), Intro. to Measure Theory and Integration (A-), Intro. to Probability Theory(proof based) (B), Modern Algebra I, II (A, A), Numerical Linear Algebra (B+), Intro. to Mathematical Optimization (A), Intro. to Combinatorics (A) Computer Science: Intro. to programming (A), Data structures (A) Physics: 3 intro classes (A,A,A) a lab course (A), quantum mechanics (A), thermodynamics (A), classical mechanics (A), electrodynamics (A) Additional courses I will have taken before applying: Numerical Analysis, Stochastic Processes Schools I'm thinking about applying to:(For statistics phd unless otherwise indicated) "Safety"(not really of course): Iowa State, Madison, Illinois UC, Purdue, John Hopkins(applied math/statistics) Reach: Chicago, Columbia, U Washington, CMU, U Penn Any suggestions/feedback would be great! Thanks
  7. Hi all, I'm a senior undergrad in the US graduating in the spring. I'm applying to PhD programs in statistics/biostatistics for fall 2020. I'm wondering about several things: 1. Are programs in biostats vs statistics significantly different? I think I'm interested in a more theoretical/mathematical training so if biostatistics programs put a lot less emphasis on that then I'm not sure I'd want to attend those programs. 2. Are the schools I'm applying for reasonable? Suggestions on where else to apply would also be great. 3. Will not taking the math GRE subject test significantly weaken my application to higher ranked schools? I'm not sure if putting in the time to prepare and take it is worth it; I was planning on taking a practice test and seeing how that goes. 4. Should I retake the general GRE? I think I could get at least a 4.5 writing score and a higher quantitative score with not that much more preparation. Undergrad Institution: Large public university ranked 15-20 in math by US news Major(s): Applied Mathematics GPA: 3.89 GRE General Test: Q: 166 (89%) V: 165 (96%) W: 4.0 (57%) Math Subject Test: (not sure if I will take) Programs Applying: Biostatistics or Statistics PhD Research Experience: Did a project related to Dynamical Systems with an applied math professor, and this summer have been doing a project with a statistics professor that I'll continue into the fall semester. Letters of Recommendation: Two from the professors I did projects with. The applied math professor will probably write an at least ok letter and the statistics prof I think will be able to write a strong one. I'm going to ask a physics prof I took quantum mechanics with for the last letter because I did very well and I thought he liked me. In general I didn't form that close of relationships with my professors so I'm sort of worried about this last letter but I have several professors I took classes with as backups. Grades: Mathematics: Calc III: B Linear Algebra and Differential Equations(proof based): A Multi-Variable Calculus(proof based): A "Applied Mathematical Analysis" which was a mixture of harder calc III and some complex analysis: A Intro. to PDEs: B Analysis I, II: A, A Intro. to Measure Theory and Integration: A- Intro. to Probability Theory(proof based): B Modern Algebra I, II: A, A Numerical Linear Algebra: B+ Intro. to Mathematical Optimization: A Computer Science: Intro. to programming: A Data structures: A Intro. to Combinatorics: A Physics: I took 3 intro classes, a lab course, quantum mechanics, thermodynamics, classical mechanics and electrodynamics and got all As. Initially I thought I wanted to do a physics PhD which is why I took so many physics courses and not so many statistics courses. Additional courses I will have taken before applying: Numerical Analysis Stochastic Processes Schools I'm thinking about applying to(and US news ranking): John Hopkins biostats 3 University of Chicago stats 6 University of Michigan Ann Arbor 12 Duke stats 12 Columbia stats 16 University of Wisconsin Madison stats 16 Iowa State University stats 20 Minnesota twin cities stats 24 Ohio State University 37 University of Illinois Urbana-Champaign stats 37 Any suggestions/feedback would be great! Thanks
  8. Hi all, I was thinking about graduate school, but I'm not sure where I could get in given my grades. I would like to apply to Statistics PhD programs. I'm planning to just take the standard GRE. Undergraduate Institution: Columbia University Major: Mathematics-Statistics GPA: 3.88 Type of Student: Domestic Asian Male Relevant Classes: Statistics Courses: Statistical Inference (Casella and Berger) (A) , Bayesian Statistics (A), Statistical Machine Learning (A-), Stochastic Processes (A), Probability Theory (A), Math Courses: Calc III-IV (A), Linear Algebra (A), Optimization (A), Algebra I (B+), Analysis I-II (A), Probability Theory (measure theoretic) (A-), Fourier Analysis (B), Numerical Methods/Analysis (A+), ODE (A) MISC: Data Structure and Algorithms (A) GRE: Haven't taken Research Experience: Got accepted to a biocomputing conference and gave an oral presentation (Bayesian classification). Currently working with a professor on machine learning projects applied to neuroscience. Recs: They should be standard. I'm mainly worried about my B+, and B in Algebra and Fourier Analysis, (and a little about my A- in Probability Theory). I feel like my math background is still rather light and those grades look rather bad. I'd really appreciate comments.
  9. Hello, everyone! I'm a rising senior thay has just recently made the decision to pursue a MS in biostatistics rather than the original path I've been working at for the past couple years (PhD in Clinical Psychology). Clearly, this is a major shift in my plans so I have been attempting to familiarize myself with the field and what credentials I'll need in order to be admitted into such a program. The underlying question of this post: do I even have a chance of admission for Fall 2019 or I should apply for the following year? Undergraduate Institution: Large Public University (top 60 in national universities, top 20 in public universities) Major(s): Psychological Sciences, BS GPA: 3.92/4.0 (I had an "off" semester) Type of Student: Domestic URM Female GRE General Test: (TBD, expecting 165 Q and V) Programs Applying: MS Biostatistics Research Experience: 2 years as a research assistant for five laboratories in different areas of psychology (not all at once, currently in two), 1 year as a project manager for a large meta-analysis in clinical psychology, 1/2 year developing a senior's thesis pertaining to pathological personality under the guidance of a mentor as part of a research-focused honors program for a small cohort of PSY students (program will last until graduation, culminating in a potential publication and poster presentations), just started in a lab this summer in the area of quantitative methods lab and clinical psychology (I'm their only research assistant so I'm getting the opportunity for meaningful involvement in projects involving advanced quantitative methods) Activities or Jobs: (N/A for work in statistics but to give more background) 1 year as a mental health technician for a group home for adults with severe mental illness, 1 year as president of mental health advocacy organization, 1 year as crisis counselor for Crisis Text Line Letters of Recommendation: research mentor (strong), supervisor for meta-analysis (strong), quantiative methods lab supervisor (strong) Relevant Coursework: Psychology - Introduction to Statistics in Psychology, Research Methods in Psychology, Understanding and Analyzing Experiments (ANOVA and Research Design), Introduction to Bayesian Statistics, Honors Research Seminar I (all As) Math & Statistics: Calculus I (AP credit) Honors and Awards: Phi Beta Kappa, Office of Undergraduate Research Scholar ($1000 scholarship program), Psychological Sciences Research Focused Honors Student Skills: programming in R (developing skill under the guidance of the quantitative methods lab I'm in, hope to become proficient) Plan of Action: Fall - Calculus II Spring - Calculus III, Linear Algebra, Statistics Summer (considering) - Real Analysis, ODE, Probability Questions: 1. Unfortunately, I'm currently in a position of playing catch up on prerequisite coursework. I have a plan to take the classes I need, but my grades will of course not be finalized in time for the many programs that have application deadlines in early December. My concern is that the programs will have nothing to go on as far as my ability to take rigorous math courses and will thus not be able to seriously consider me for admission. For the programs that have early spring deadlines, they will only be able to see my grade in Calculus II. This is the primary reason I'm asking if I even have a chance of admission. Thoughts? 2. If I do have a chance, which range of programs should I be applying to? My worry is that many programs I've been looking into are out of reach given my background. 3. If I likely don't have a chance of admission, what kind of jobs can I pursue in a gap year that will be benificial on my application for the following year? 4. I'm truly trying to set myself up for success this next year, but I also have a lot on my plate given commitments I made prior to this change in post-graduation plans. From what I've gathered, grades and letters of recommendation are the strongest selling points on an application. Therefore, I've been thinking of stepping down from the research focused honors program in order to give myself the chance to study more for the math classes I need to excel in (I would have more time for studying without the significant amount of credit hours from research seminars, individual study, and meetings that will take up my schedule in the fall and spring). My concern is that I would me removing perhaps one of the few pulls, if there even are any, to my application. Is this experience even something admission committees would look at favorably to warrant the added stress? I don't want to stretch myself to thin and not perform well in my courses. I know this was long so I'm grateful for you sticking with me. Any and all feedback is appreciated. Thank you!
  10. Undergrad Institution: big midwest state school ( ranked <30 on statistics) Major(s): math and stat double GPA: 3.83 Type of Student: international female Grad Institution: not good private school (ranked 50-70 on stat US News) Concentration: statistics MS GPA: 4.0 GRE General Test: Q: 170 V: 151 (52%) W: 3.5 (<50%) GRE Subject Test in Mathematics: M: took two years ago, did really bad TOEFL Score: N/A Programs Applying: Statistics and Biostatistics PhD Research Experience: Summer data analysis in a biology lab, haven't done much, only used basic lm and glm. Another biostat related machine learning summer research in an ivy school, may publish paper, not sure if it can be first author Awards/Honors/Recognitions: 2 years Dean's list for undergrad, tuition fellowship for MS program Pertinent Activities or Jobs: tutored for a year, TAed for a year. Both are for introductory stat undergraduate classes. Letters of Recommendation: 1 my advisor for my master program, took his class and got an A. 2 chair of the department, took his class and got an A. 3 research supervisor from the ivy school Math/Statistics Grades: Have taken a good amount of undergraduate math courses, got mostly A's, only 2 B+. Have taken master level probability and statistics (Casella & Berger) (A). Also took some applied statistics courses on both undergrad and grad levels. Any Miscellaneous Points that Might Help: currently in a stat master program, and plan to take two PhD level probability and inference in Fall 2019 I want to apply to biostat phd program in Columbia, UCLA, Penn, Yale, Brown, BU, Duke, UNC and UMN, and stat PhD in UCLA , JHU, NCSU and UC Irvine. But I have no idea if the goal is too high for me? Which should be reasonable schools to apply? Also, my GRE score is one of my biggest concerns. Should I take GRE again to improve my verbal and writing? I don't know if GRE score is that important...
  11. I'm looking for advice on what tier of school I'd be competitive for. Any input would be highly appreciated. Undergrad: The Ohio State University Majors: Mathematics/Economics Ethnicity: South Asian Overall GPA: 3.92 Math GPA: 3.79 Econ GPA: 4 Courses: (including all the math and only some economics) Except the first two calculus classes and the economics classes, all are proof based and honors level. Single variable calculus (A) Multivariable calculus (A) Intro to Proofs (A) Real Analysis I (A-) -- single variable real analysis Linear Algebra and Ordinary Differential Equations (B) Real Analysis II (A) -- metric topology and multivariable analysis Applied Algebraic Topology (A) Combinatorics (A-) Probability (A) -- measure theoretic Complex Analysis (A) Econometrics I (A) Econometrics II (A) GRE -- Haven't taken it yet Research Experience: None Other highlights: Am doing reading course type option with two statistics professors (e.g. reading papers and meeting weekly to discuss for this summer. This fall I'll be taking the first of a 2 course sequence in abstract algebra along with a mathematical statistics course. I'm not too worried about either. Interests: Still unsure, but I'm interesting in more theoretical programs than applied ones. Type of Program: Statistics PhD programs My main weakness is probably going to be limited research, but I'm hoping that I will have good letters to compensate.
  12. Hi, Can you guys suggest some universities ranging from safe to moderate to ambitious based on my profile for computer science steam ? Many thanks !! Profile: 10th : 93.1 %. 12th : 93.1 %. Undergrad CGPA : 8.8 (Comp science - SRM university - among top private universities in India). GRE : 318 (164Q, 154V). ielts : yet to give. Work ex : Working as a software dev in a product based company for past 2 years, the role is purely DEV and involves contribution in mission-critical web services and webapps. Projects: A mobile application. A web application for automating many manual tasks at work. A vanilla JS router implememtation for implementing routes inside a web app. A chatbot for hotels using AWS. A Virtual reality based mobile app for exploring hotel before you book them. Best regards, Varun singhal
  13. I am an International student from India and have applied for the Ph.D. program in Chemical Engineering with a focus in drug delivery, nanomedicine and tissue engineering at MIT, University of Michigan, UPenn, UIUC, Cornell, JHU, UCLA. I have also applied for the Ph.D. program in Biomedical Engineering at Duke University and Materials Science and Engineering at the University of Wisconsin Madison. However, I have not heard back from any of the schools although many students have already received their admits. I am surprised that I have not received admit from any of the schools. Can anyone please help me with the same? I have the below-mentioned profile: B.E. (Chemical Engg): 8.72/10 (top tier university) M. Tech (Chemical Engg): 9.88/ 10 (IIT Bombay, topper) GRE: 323 (V: 153, Q: 170, AWA, 3.5) TOEFL (110) Presently working in Tata Steel R&D Research projects: 5 (1 junior year research project (published), Summer internship at IIT Kanpur (not published), B. Tech thesis (published), M. Tech thesis (published and patented), Tata Steel R&D project (Patented)) Journal publications: 1 first authored paper, 1 second authored paper, 1 first authored review paper, 1 first authored research paper under revision Conferences attended: 4 Patents: 2 Awards: Silver Medalist (M. Tech), Best M. Tech thesis award, Ambuja Young Researcher's Award in India Fellowships: SURGE Fellowship for Summer Internship at IIT Kanpur, GATE Fellowship for Master's Students LOR: Strong
  14. 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.
  15. 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?
  16. 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 .
  17. 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.
  18. 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.
  19. 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.
  20. 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
  21. 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.
  22. 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!!
  23. 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,
  24. 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?
  25. 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.
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