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  1. I'm going to be a senior in the Fall and am interested in applying for Statistics PhD (most likely 2020 cycle but a few questions on that). Undergrad: UC Berkeley Major: Math + Computer Science GPA: 3.96 Student Type: Domestic, Asian Male GRE and Math GRE haven't been taken yet Courses: Math: Honors Linear Algebra (A+), Honors Abstract Algebra (A), Honors Real Analysis (A-), Honors Complex Analysis (A+), Numerical Analysis (A+), Grad Analysis I and II (A, A) Statistics: Probability Theory (A+), Mathematical Statistics (A+), Theoretical Statistics I, II (for PhD Students, A, A), will take grad probability in the fall Computer Science: Intro to Programming (A), Data Structures (A), Discrete Math and Probability (A+), Intro Computer Architecture (A), Databases (A), Algorithms (A), AI (A), Machine Learning (A) Programs Applying: Stats PhDs Research Experience: Currently working with a professor and his students on some theoretical stuff, pushing to get it published in a top tier journal (I contributed in a somewhat nontrivial way, deriving some lower bounds) Work Experience: Spent a summer at a startup doing some natural language processing, another summer at a quantitative asset management firm Letter of Recommendation: Professor doing research with (hopefully would be decent, but one of the big names at Cal who is very busy and I rarely spent time with him so its hard to tell), another professor that I took Theoretical Statistics with (will also hopefully be decent as I think I stood out a decent amount in that class, actively participating and going to office hours), and I don't have a good choice for the third one (that's part of the issue) I have two main questions here: 1) As I still need to take the GRE, and missing a recommendation letter, should I delay applying by a cycle? My thought were that I could spend my final year doing more research (and having some publications), getting a better letter of recs by interacting with the professors some more, and have extra time to prepare for the GRE. I was wondering about the marginal benefit of waiting a year and how much that would help my application. 2) What schools should I consider for my safeties if I do decide to apply this cycle? I want to apply to the top 10ish schools, but I don't know what else should I be considering.
  2. Hey everyone, I was hoping to get some insight into what my chances might be for admissions to PhD programs in organic chemistry. Any constructive criticism is much appreciated!! Undergrad Institution: UCLAMajor(s): ChemistryGPA in Major: 2.90, upper div: 3.0 (First two years were ROUGH--was between a 2.6-2.8 overall GPA. Third and fourth years were a significant improvement academically).Overall GPA: 3.20GRE Scores: Q: 163, V: 165, W: 5. Taking the Chem GRE in 2 weeks! Interests: Transition metal catalysis, organometallic chemistry, experimental and computational mechanistic study. Schools I'm Applying To: Princeton (my number one), UPenn, UMich, MIT, UC Berkeley, University of Wisconsin-Madison, University of MinnesotaResearch Experience: 2.5 years working in an inorganic/organic chemistry lab on boron cluster-based applications to organic synthesis. 1.5 years in a computational organic chemistry lab studying cycloadditions as well as transition metal catalysis/photoredox catalysis. Publications: First paper is inorganic/organic in Chem, authorship: 6/11. Second paper is inorganic/organic, about to submit, authorship: 2/2. Third paper is computational organic, manuscript in progress, authorship: 2/2. Fourth paper is a photoredox collaboration for which I did calculations, so I'll probably be towards the end of the authorship--manuscript in progress. Hoping to have them submitted before I apply!! Relevant Advanced Coursework: Practical and Theoretical Organic Synthesis, Organic Spectroscopic Methods, Organometallic Chemistry (grad class), Physical Organic Chemistry (grad class).Awards/Honors/Recognitions: Research fellowship for summer 2019, awarded by the department of chemistry. Pertinent Activities or Jobs: Undergraduate Teaching Assistant for lower division organic chemistry courses (Summer 2019-present), tutor for lower division organic chemistry courses (Summer 2016-present), member of AXS, the professional chemistry fraternity (Fall 2016-present).
  3. Next year I'll apply to political science Ph.D. programs. I am currently studying a terminal MA in Political Science, but my BA is in Econ. Since my background is more quantitative than qualitative (the MA program I'm studying is also fairly quantitative) I'm interested in applying to quantitatively oriented programs. I know that Rochester, WUSTL, NYU, and UCLA have very quantitative programs. Could you recommend me other programs with a similar focus? I'm interested in both American and European programs. Thanks.
  4. I am currently an undergrad, and will send in my first applications for Child/Clinical Psychology PhD programs next week. I graduate in May (2020) with a BA in Psychology, a BA English, and a minor in American Sign Language from the Honors College at my University. I have a 3.95 GPA, 154 in Quantitative, and a 157 in Verbal, and a 4.0 in writing on the GRE. I have been working in a child psych lab for nearly two years, and I have joined another child psych lab this August. I have one poster where I am third author, a poster submitted to SPP where I am first author, and another currently being proposed where I will be third author. I try to volunteer as much as I can and have been a part of PSI CHI for over a year. I know clinical psychology is the most competitive field. My GREs aren't great, and I don't have anything more than a few posters and lab experience. Applying is expensive and I currently have a list of 18 programs I am interested in. Am I wasting my money?
  5. I got a 303 on the GRE (154 V/149 Q)...I've never successfully taken this test and I struggle with standardized testing in general. Is this a score that I could even apply to a PhD program for Clinical Psych with? If not, what is a score I can reasonably work towards (people say not to expect increases by more than 5 points)? So many programs claim to be holistic now, but they still have their "average" GRE score up on the website. I've taken this test 3 times in the last 3 years....is it worth taking again? Without mentioning any of my other accomplishments, is this GRE score bad enough to automatically have my application thrown into the trash?
  6. Hi just wondering if anyone wants to give a generalized honest opinion, am I wasting my money applying to PhD programs in Media Studies when I only have my BA? I know you need to know a lot more about me and to read my writing to actually answer that with full confidence but I'm wondering if there is sort of a general rule that almost all PhD admits already have their Masters or have spent significant time working in the field. I'm sure a masters helps one's chances but is someone getting into media studies (rtf/cultural studies type) PhD programs without it an exception or just a slight minority? My professors have made it clear that it would be better were I accepted into PhD programs for money reasons, but even the ones who most intimately know my work haven't given a clear indication of if that's possible. Reading the websites of programs I'm interested many current students seem to have acquired their Masters from other schools or in other disciplines so I feel my chances dwindling. I have good numbers and some good writing but I've never published or officially presented.
  7. My girlfriend and I will be applying to French PHD programs in the NY area (Rutgers, Colombia, Princeton, NYU, UPenn) as well as in the southeast (University of Virginia, Duke) and several universities in Canada (Université de Montréal and McGill). I’m also interested, but have not yet check out, universities in California such as UCLA, Stanford, or Yale. (For the latter, I read that PHD applicants must have a year of teaching experience and this is not my case.) We are both currently in masters of comparative at Paris 3 (Sorbonne Nouvelle). For my part, l have been a resident in France for 4 yrs, having passed the “concours d’enseignement” or the CAPES and taught as a full time English language teacher for 2 years. My companion also had a stint as a highschool teacher here, but she is a native French speaker. My research interests are mainly in francophone literature and literature and economy. Hers are primarily in trauma studies. Would anybody have any information about the universities I mentioned, any helpful advice on the application process or other universities ? Thank you all advance - I signed up b/c I found a similar thread for the 2019 session and everybody seemed supportive and knowledgeable!
  8. Do graduate schools look down upon applicants who do not immediately want to pursue a career in academia? If I want to do something in between graduating with my Ph.D. and my academic career, should I leave that out of my personal statement? Specifically, I am seeking admission to a Ph.D. program in mathematics. After getting my Ph.D. I want to enlist in the Navy and become a SEAL. After I leave operational capacity, I want to serve as a mathematics professor at the Naval Academy or the Naval Postgraduate School. Should I include this in my personal statement, or only mention wanting to become a professor one day?
  9. I am planning to apply for PhD in 2020. I have got 167 in Quant, 155 in verbal and just 3.0 in AW. I know that a complete profile is a combination of SOP, LOR, etc. I just want to hear your valuable opinions. I am targeting universities between ranking 20-50. And my field is computer science. Is this a competitive one ? or should I give GRE again ?
  10. Hey everyone, I will be applying to Statistics PhD programs for fall of 2020. I am mostly interested in probability theory and general statistical theory. Any advice is greatly appreciated! Undergraduate: Small public university. Relatively small math department. Major: Mathematics GPA: 4.0 Type of Student: White Male Relevant Courses: Calculus I, II, and III, Ordinary Differential Equations, Linear Algebra, Abstract Algebra, Modern Algebra, Discrete Mathematics, Advanced Calculus I (Real analysis), Numerical Analysis I, Financial Mathematics, Life Contingencies, Intro to Statistical Methods, Applied Reg/Time Series, Nonparametric statistics, Statistical Process Control, Mathematical Statistics I and II, Foundations of Computer Science, Fundamentals of Programming, Object Oriented Programming, Intro to Algorithms and Data Structures (A's in all courses) GRE General Test: Q: 168 V: 160 W: (waiting on score) Research Experience: Statistical consultant on a medical paper currently in peer review, not expected to be officially published before application. Additionally, I worked with a professor in mathematical research. I was primarily in charge of the computer programming to simulate our enumeration problem; research stopped due to professors family crisis. Awards/Honors/Recognitions: Valedictorian of the College of Science, Outstanding Math Student Award, Dean's list each semester. Letters of Recommendation: Professor (Department Chair) I worked with closely as a TA and took courses from, Professor I took classes from, Assistant Professor I took classes from. Additional Experience: Experience working in R, SQL, Python, C++, C#, and LaTex. I have taken three actuary exams and pass all three. I have a year's experience working as an actuary. A few internships during the summers of my undergraduate career in Cyber and Actuarial Science. I have ample experience in math and statistics TAing and tutoring. Applying to: Texas A&M, Colorado State University, University of Iowa, UC Davis, Virginia Tech, (Other schools suggested?) Comments/Questions: I'm curious to know if I'm aiming for the right caliber of schools. I am concerned about not having published, how will this effect my application?
  11. tldr; I'm looking for grants and scholarships large enough to fund at least a year of a particular PhD program. I already know about the GRFP but that's a long shot even under the best of circumstances, so I need other options. I'm a white male born in the US, so diversity scholarships are a no-go for me. More detail: When applying for science policy PhD programs last year, I applied to Program A and Program B (plus others, but they're not relevant). Program A was my top choice by far and I had been in touch with a faculty member from there for a long time, so he knew I was interested. I really wanted to get in, so I spent months studying for the GRE and meticulously preparing my application. I also worked on an application for the NSF GRFP, but didn't submit it because I wasn't knowledgeable enough about what I'd research or how. It got to early April, and while I'd been accepted to Program B (with full funding plus an extra campus scholarship) and rejected everywhere else, I hadn't heard from Program A. I called and found out that the professor I expected to work with simply hadn't received funding for any projects. If he had, I would have been first in line. Program B, and the university overall, has a very good reputation and seemed like it had a lot to offer, so I figured there was no harm in going there. However, now that I'm here, I've already encountered a variety of financial, cultural, geographical and even research issues that are giving me pause. (For example, I can't make student loan payments that will count toward my Public Service Loan Forgiveness at Program B, while I can at Program A. The campus of Program B is also big and sprawling, which I don't like, whereas that of Program A is much smaller and easier to navigate. Program A is much closer to my family, while I have to take a flight from Program B.) When I put them all together, I found myself seriously contemplating the idea of transferring. I got in touch with Program A again, and they told me I could reapply, but the professor still doesn't have any funding and doesn't know if he will. (I told him I'd be happy to work on projects with other professors as well, but since he already knows me I think he's my best bet.) Therefore, he suggested to apply for outside scholarships, but didn't have any good particular leads. I've done some searching but the majority of school funding opportunities I've found appear to be for the hard sciences, whereas I'm interested in topics like telecommunications policy and innovation systems. The university of Program B does have a fellowships office, but I'm afraid if I tell them why I'm seeking these scholarships they won't support me. So I figured I'd come here to find out what other scholarships and fellowships might give me some additional financial flexibility. Another question - less of a concern right now but still worth bringing up - is if I can successfully transfer, how I would handle the summer. I'd want to tell Program B I'm transferring with enough notice for them to admit someone else to replace me, but if they know I'm leaving they might be reluctant to sponsor me for any programs or other opportunities to keep me funded during the summer. For anyone who has successfully transferred, how did you go about this part?
  12. Hi all, First off, thanks for reading my question -- I apologize in advance if the question is too broad, please feel free to ask any follow-up questions. I'm a senior at a top-20 US university, and I am currently doing a triple major (history, political science with an IR concentration, and environmental science). My GPA is 3.75 (ideally I'll pull it up higher over the course of senior year). After taking a lot of classes in various fields, doing a few internships with development-related nonprofits, and beginning to write a thesis in history (it's about Cold War proxy wars, counterinsurgency, and IR), I've decided that what I want to do is pursue a PhD in political science. Ideally IR or security studies, because those fields interest me the most. In terms of extracurriculars, I've done a lot of writing-related stuff -- I'm an editor for my university's magazine, a tutor in the Writing Center, a TA for a philosophy class, and I'm also involved in a club that raises money to build schools in a developing country. I also did research for 3 semesters on built environment/school design/architecture-related stuff just because I find it interesting. I discovered my passion for IR pretty recently (it basically took me two years to "discover" my university's political science major), so my extracurriculars are kind of all-over-the-place in terms of area. But I've been trying to do more political science stuff lately: I'm going to an undergrad international security conference soon, which I'm super excited for. I can speak decent French and am currently learning Russian on my own. What I'm curious about now is the following. I'm already committed to completing a 2-year Master's program after graduation -- really, it's more like a service program where you teach for 2 years and take summer teaching classes to eventually receive a Master's in Education. Essentially, I always say it's like Teach for America with a Master's degree added. It's administered out of my current university and is fairly prestigious. I'm excited to start it because I love to teach (one reason I want the PhD is possibly to become a professor), and I always knew I wanted to take a break for some form of post-grad service before embarking on further studies or career stuff. But I'm wondering whether the program will impact my PhD program applications. Will they care that it's not in a subject related to political science? I'm sure I'll be teaching social studies or history or something of the like, but I'm a little concerned that going two years without doing research or a Master's specifically in political science will hurt my chances. Basically, will they think I'm not "serious" enough about political science or think I'm a dilettante? I want to convey as much as possible that I really care about this and want to research, write and teach political science. I hope that the current work I'm doing, especially my undergrad thesis, will convey this strongly enough, but I'd appreciate any advice from people who have already completed the process. If I manage to get good GRE scores (I haven't taken the test yet because my Master's program doesn't require it, which buys me two years), what do you think my chances are for top-15 programs in political science or security studies given my undergrad qualifications? In the meantime, and possibly while I'm doing the Master's in Education, what can I do to advance my application and make sure I don't lose the writing/political science skills I've acquired in college? Any advice is much appreciated, thanks again
  13. Hello everyone. I've got a bit of a unique situation. I was disowned by my family in the middle of my education, so I have a gap year to explain. I teach math currently to pay my bills, and I really enjoy teaching, but I don't see myself as a middle school teacher forever. I miss the research and the conferences... Undergraduate Institution: Top 300 Nationally ------> Top 25 Best Regional South Majors: Mathematics GPA: 3.29 Major GPA: 3.44 Type of Student: Domestic White Female Courses taken: Math: Analytic Geometry and Calculus I, II, and III (B/A/A), History of Mathematics (A), Linear Algebra (A), Modern and Abstract Algebra (B), Research in Mathematics (A), Real Analysis (B), Mathematical Modeling (A-), Differential Equations (B), Survey of Geometry (C+), Senior Seminar (B) Stats: AP Stats, Probability and Statistics I (A), Probability and Statistics II (C), Advanced Statistical Methods (B) CS: Programming Language I (Java) (B), Web Applications I (B+), Database Design (B), Programming Languages (different college, a smattering of C, C++, Elm, the weird parenthesis language, and a few others) (B-), Data Structures (with Python) (A) Bio and science: Basic Biology (AP Credit), General Chemistry I and II (AP Credit), Organic Chemistry I (C), Bioinformatics (B), Physics I (B) GRE General Test: Took a practice one cold and got 159 V/161 Q. I'm aiming a little higher, but would be content with that score. GRE Subject Math: Have not taken. Research, work and publication: Current work: Teaching math at a public middle school. 2018: Attended MAA-Southeastern Section meeting at Clemson and graduated. 2017: Poster prize winner at MAA-Southeastern Section meeting for a computerized SIRS model for the Black Death; used NetLogo with Python under the hood. Some randomness was incorporated in the lifetime of the human bits in the model. Compiled an exposition of the Navier-Stokes equations for my senior seminar that I took a semester early. 2016: Transferred out of necessity and took a tutoring job with the college. Acted as a TA for a statistics section. Maintained until my graduation in 2018. 2015: Best Presentation Overall at a symposium hosted by my first college in the expansion of my earlier project. There were at least 250 presentations there. Learned to access government databases for biological information like genomes and viruses in Bioinformatics and gave a presentation in class about Fourier transforms. 2014: Symposium hosted by my college for students only about the history of probability and statistics. Was the Calculus III TA and led lecture once a week. Letters of Recommendation: Chairs of the math department from both schools, and either my supervisor for tutoring or my research advisor from my earlier symposia work. Schools: I would ideally stay in North Carolina, so NCSU is a big dream for me for their connections to the sciences. There are several programs that I'd gladly apply to, but my GPA is low for PhD. I will be an NC resident for Fall 2020 admission. I'd really like to stay in the southeast but if a better program is calling my name, I'd be stupid not to look at it.
  14. Hello, I’m a current MS student in Math (expected graduation Spring 2020) applying to PhD programs in Statistics for Fall 2020 and am looking for feedback on my tentative school list - apologies if this is posted in the incorrect place or manner! Undergraduate Institution: Top 10 US public university Graduate Institution: Local state school Majors: Economics GPA: Undergrad 3.96, Grad 4.00 Type of student: White female Relevant Courses: Undergraduate: · Introduction to Statistics (A+), Econometrics (A), Applied Econometrics (A) · Calculus I -III , Linear Algebra and Differential Equations (A) · Proof writing (A) · Intro Mathematical Probability , Mathematical Statistics I, II (A) · Advanced Calculus I, II (Real Analysis I, II) (A) · Abstract Algebra, Number Theory, Advanced Linear Algebra (A) · Numerical Analysis (A) Graduate: · Topology (A) · Measure Theory (A) · Multivariate Statistics (A) · Computational Statistics (IP) · Calculus on Manifolds (IP) GRE General: Q170 (96), V170 (99), AW5.5 (98) GRE Subject: I really don’t want to take it! Research Experience: Year long project in probability, presented at a conference, summer project in machine learning presented at a big conference and papers submitted (but I probably won’t hear back in time), current thesis in regression methods for complex data structures (being as vague as possible here because it’s pretty niche). Work Experience: Two years at a think tank, supervisor on a Math REU, instructor of undergrad mathematics (labs and lectures). Honors and Awards: a bunch of university based awards. Letters: All from Math/Stats professors, all but one of whom I’ve done research with. I expect them to be very strong. Interests: Are varied – causal inference, algebraic statistics, machine learning, anything with good theoretical meat. Concerns: I don’t have any formal training in Computer Science, but I’ve done extensive work in Python, Matlab, R (mostly R). I’m having a hard time narrowing my schools down based on research interest, since there’s so much I’ve enjoyed – all I know is that I don’t want Biostats. Am at any kind of disadvantage having an MS already? I know there are many undergrads who have about as much graduate math as I do, but my undergrad was in another field. Schools: I am obviously biased towards CA. All programs are Statistics PhD’s unless otherwise indicated. · Reach: Berkeley, Harvard · Target: NCSU, Duke, UCLA, UC Davis · Safe: UCSB, UCI, UCSD (Dept of Math and Statistics), JHU, Colorado State Questions about schools: According to US News, UCI is ranked 50th, but looking around here I’m seeing it referred to as a strong program. What am I missing? I wish I had a more realistic “reach”, but I’m very geographically biased. Suggestions? Thank you!
  15. Greetings everyone! So, I am happy to announce that I am applying for PhD Programs in English. However, there are some things that I may need help with in terms of applying. 1) I have a LOW gpa range across the board (2.55 overall, 2.6 in the last 60 units, 2.8 in the major). 2) I am not sure if I can get strong letters of recommendation from my professors, but I can still try to see if I can get some. 3) GRE Practice exam was at 143 Verbal, and 4.5 Analytical Writing. Although I have a low gpa, I KNOW what I want to pursue in terms of programs and faculty I would like to work with. Given these things, HOW do I get my GPA past an admissions committee? To my knowledge, they make cuts off the stack of applicants based on GPA. Any suggestions as to how I could shine on my application or improve my chances to applying for my prospective programs (UCI, UCSB, UCR, U of Washington, UT Austin) Thanks!
  16. Hi, I am pursuing my CSE UG (sophomore year) from one of the top 3 IITs in India. I would like to do my graduation in a top CS program, preferably in US. Can you please guide me to what should I do build my profile so that I get into one?
  17. Hi y'all! Love all the advice in this forum. I'm currently finishing up my MA in Psychology in Spring 2020. I have decided to take a year off between my MA and starting my Clinical Psychology PhD. So I'll be applying for and starting my PhD in Fall 2021. Is this a good idea? Any thought/advice/tips on what should I do in the year to amp up my PhD application? Background: BS in Biomedical Engineering Current: MA in Psychology, RA in 3 labs on campus, 1 poster presented on campus, no publications yet... Thanks!
  18. I'm honestly just curious to see if you think that with my credentials I could get into any PhD program. I'm at an odd point in my career--the original plan was to go for an Econ PhD, but I realized pretty quickly into my current job that I'm not interested enough in Economics for that. I still want to learn enough math to be able to answer interesting questions about the world, though. My current plan is to enter a statistics masters program with the hope to later apply for PhD spots, though if it's possible to just enter a statistics MS/PhD program now that would be great to know. I am NOT looking into schools in the top 20-30--I have somewhat realistic expectations, and also for me what matters more is location/what the professors specialize in. My interests lean towards environmental or applied statistics. Undergrad: Top 50 Public University Majors: Economics and Statistics GPA: 3.62 Student Type: Domestic, White Female Math Courses: Calc 1 (B+), Calc 2 (A-), Calc 3 (B+), Differential Equations (A), Probability Theory (A), Math Stats (B), C++ Programming (A), Linear Algebra (B+), Stochastic Modelling (B+), Applied Regression Analysis (B), Time Series Analysis (A-) GRE General: Haven't taken it yet, but I anticipate very good writing/reading scores and ~163 quant. Math GRE: NA Research: Undergraduate research for an Econ professor. I'm in my second year of a 2-3 year Research Assistant position at a government agency. I work daily with PhD economists. Most of my work is more data management/low-level statistics; I'm essentially on R playing with huge datasets all day. I am not on track to get my name on a paper during my time here, though I am involved in multiple projects. The work I do is not related to the field I want to go into (it's basically all finance-related). Letters of Recommendation: One will probably be an Econ professor I was close to in undergrad. Another will be my chief, who I've worked with on small projects and have a great relationship with. A final one will be the economist I do most the most research with. Concerns: My math grades are not great due to a mix of me being lazy/thinking that Econ was the most important thing to focus on in undergrad. I haven't taken Real Analysis, though I am doing so this Fall and intend to work harder in it than I did in my undergrad classes. I don't have any actual research papers to my name. Also, I don't have a clear vision for higher education (e.g. "I want to study the migration patterns of X animal since 2005 to prove that...") so I feel like I'd come off as someone who has no idea what they're doing.
  19. I am an international student (Indian), planning to apply for PhD programs in Statistics/Biostatistics this October. I would really appreciate an evaluation of my profile and my chances of getting into some of the places I'm aiming for. Undergraduate Institution : In India (Not ISI/IIT) Major : Statistics GPA : 3.94; Major GPA : 4.0; WES Evaluated US Equivalent GPA : 3.98. Graduate Institution : Duke University (Masters in Statistical Science, will graduate this May) Graduate GPA : 3.97 Undergraduate Courses: I have a more courses in Statistics, and fewer in Mathematics. Math : Real Analysis (A), Logic and Set Theory (A), Calculus and Analysis I and II (Both A), Linear Algebra I and II (Both A), Computational Mathematics I and II (Both A). Stats : Probability and Sampling (A), Statistical Estimation(A), Analysis of Variance(A), Applied Statistics I, II, III, IV (All A), Stochastic Processes(A), Linear Models I and II (graduate level, fair amount of linear algebra, both A), Probability Theory I and II(graduate level, both A), Distribution Theory and Estimation I and II(graduate level, both A), Planning and Analysis of Experiments I and II (graduate level, both A). Graduate Courses at Duke : I took the recommended MS courses, I'm listing some here. Mathematical Statistics (A), Predictive Modeling (A), Bayesian and Modern Statistics(A-), Advanced Stochastic Modeling (A), Causal Inference (A), Spatio Temporal Modeling (A), Study Design (A), Probabilistic Machine Learning(ongoing). GRE General : V :162, Q:162, AWA :4.5. GRE Math: Not taken Research Experience : 1. Working since last summer with a senior professor at Duke for my MS thesis (relates to missing data), which will culminate into a first author paper by the time I apply (it will hopefully be in submission by then). 2. Working on a project in Biostatistics since October, but it is more on the data analysis side (analysis of repeated measures EHR data and mixed modeling). We will be submitting to a conference soon. 3. Another project in Statistical Genetics, also more on the data analysis side. I don't expect publications coming out of this. Schools : I will be choosing my schools primarily based on my research interests, which is missing data &/or causal inference, rather than departmental rankings. I would really like to know my chance of being admitted to the following schools (this is not a full list of schools, I'm just listing some dream schools) - UCLA Biostats, Duke Stats, NCSU Stats, UWash Biostats, Harvard Stats, UMich Biostats,UPenn Stats. I feel most of these are outside my reach, but would really like honest opinions of what schools I should target. Letters : I will be taking letters from my three research advisors from the 3 listed projects. Concerns : 1. My GRE Quant score. The first time I took it, I was ill on the test day, but still managed to get that much. I did not retake earlier since I thought the score would do for MS programs. 2. Math subject GRE. I have not taken it before and right now, I don't think I have the time to prep for it. I will be working full time at the time I apply. I would like to know if I should retake the general GRE and aim for a higher Quant score or spend time studying for the Math GRE. I don't think I can do both. Thanks.
  20. Hi! I'm a recent graduate planning on applying to PhD programs in statistics or data science for Fall 2020. My research interest lies in the field of Natural Language Processing. Undergraduate Institution: Western-style university in Central Asia (Nazarbayev University) Majors: Mathematics, minor in Economics GPA: 3.57/4.0 (lower in the first year when my major was Chemical Engineering, and higher after I transferred to Math) Type of Student: White Female Relevant Courses: Math & Statistics: Calculus 1, 2, 3 (A, A, A) Linear Algebra (A) Probability (B) Applied Statistical Methods (A) Math Statistics (B) Regression Analysis (A-) Design of Experiments (A-) Intro to Proofs (B+) Real Analysis (B+) Nonlinear Optimization (A) Actuarial Math (A-) Computer Science: Programming for Scientists and Engineers (A) Performance and Data Structures (B+) Statistical Programming (A) Other: Econometrics (A) Economics of Financial Markets (B) Capstone Project in Math (A) GRE General: Q 167 (91%) , V 152 (56%), AW 3.5 (41%) Research Experience: My research was generally focused on the development of computationally efficient and interpretable algorithms for obtaining word embeddings and sentence embeddings. First publication: Springer "Lecture Notes in Computer Science", topic: NLP (word embeddings), first author, conference: CICLing 2019, top 10% of papers Second paper: topic: NLP (sentence embeddings), submitted to AAAI 2020 Research internship in South Korea (UNIST), topic: networks theory In plans: research internship at KAUST 1,5 years experience of working as RA Work Experience: Currently working as a Data Scientist in a Venture company Letters of Recommendation: One from the research advisor (I also took 3 classes from him) One from an academic advisor (He is currently working at the University of Minnesota) One from a professor of Nonlinear Optimization (previously he worked at University of British Columbia) Concerns: This year I was accepted to NYU MS in Data Science and UIUC MS in Statistics, but to the several financial circumstances, I was not able to join any for Fall 2019. That is why I changed my plan, and now I want to apply to the PhD program which could possibly provide the assistantship. I want to continue my research in the field of NLP, but after a search, I realized that most of the professors interested in NLP are working in CS departments (or even in linguistics), but my background is mostly related to Statistics. My dream university is NYU (Courant), but I am not sure about my chances. I will be happy to read your advice and grad schools suggestions. Thank you very much!
  21. Hi, I am new to this site so please correct me if I am doing anything wrong. I just graduated from a top 50 university last year and got into a master program immediately after graduation. My undergraduate majors are history and sociology. But the funny thing is I am studying computer science in graduate school. But after one year's study I found CS is not as fascinating and marketable as I expected before. So I am considering to come back to my original interest: history. So the question is: is it possible for persons with similar background to get a funded MA/PhD offer in history / sociology? If I decide to re-enter the field of history, should I directly apply for PhD? Finally, is there any interdisciplinary program which can let me take advantage of my CS experience? Any advises & comments are truly appreciated. P.S. I still have a valid GRE score and could probably get a few reference letters from my undergraduate professors.
  22. I am an undergraduate student and will be applying to Electrical Engineering PhD programs this fall. I am aiming for really top schools like Caltech, Stanford, MIT, UC Berkeley (not because of their rank but also because of the professors there). I recently took GRE and got 166Q/164V/5.0 AWA. Given that average quantitative GRE scores for these schools are 168Q, should I retake the GRE to be able to get into these schools? My GPA is 3.95, and I have 1 conference publication,1 submitted journal publication in review (not accepted yet), and two poster presentations at two conferences (not peer-reviewed). I am hoping to submit 1 more conference publication by the time of my application deadline.
  23. Hi everyone, Can you please let me know if it is possible to post open positions in forum? If yes, which part? Thanks!
  24. 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!
  25. Hello, everyone. I am struggling to decide if I should go towards an MTS at schools like Harvard and Yale or go straight into a Ph.D. program. For context, I have a 3.20 cumulative GPA and have done very well in my Philosophy classes. Yet I think that if I go straight into a Ph.D. program, I would be missing out on the education that Divinity school offers. Age matters as well, since I plan to be on the tenure track. Going into a Ph.D. at 22 vs 24 could make a lot of difference in the long run. Since I want to get a Ph.D. in Philosophy, I am wary of how an MTS is seen in the eyes of the Philosophy department's admissions teams. There is the sentiment that if I decline an acceptance from HDS, I would be forfeiting a one in a lifetime opportunity. If any Philosophy PhDs or HDS alums can chime in, I would greatly appreciate it.
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