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Found 1,302 results

  1. I'm very interested in the work being done in the sociology department at The New School, but I've heard funding for PhD students is a nightmare. Does anyone know if this is still the case? Also- I was surprised as to how low in the rankings NSSR stands. Their faculty members are well-known and they produced Berger, after all. Does anybody know why they fare poorly in the rankings? thanks in advance
  2. leecy77

    Realistic Grad Schools

    So I'm in the process of picking graduate schools to apply to and Im having a hard time of getting past the mentality of applying for the best schools in my field and seeing what happens? (Yale BBS, NYU, Northwestern, Princeton, Brown-basically all the reaches). I can stay a second year in my current postbacc fellowship and have been advised to do so if i want a shot at these schools, but as i have fee waivers and the worst they can say is no, my head is stuck on aiming high and just taking feedback this round. Wondering what some match schools would be though! Also, unsure if id have a somewhat better shot applying to biology umbrella programs for neuroscience or straight into neuroscience? Undergrad Institution: Big stateMajor(s): NeuroscienceOverall GPA: 3.3, in major probably around 3.05 (pretty average student except for chem/ochem-mostly B's, pretty much few equal in science A's-C's cancelled out)Type of Student: (Domestic/International, male/female, minority?): Domestic, female, Puerto Rican & African AmericanGRE Scores:Q: 156/61%V: 159/83%W: 4.5/82% Other: Several extensive research experiences, (3 academic years, 2 summer fellowships, presented posters at 2 university conferences and won awards, ABRCMS national conference poster award, 2 travel awards, 1 middle author publication in submission, writing a review paper with a well known PI now), 3 pretty good LORs, and the typical grad cv full of extracurriculars I held 2 jobs most of my 3 years of undergrad, and graduated in 3 years rather than taking the 4th to improve my gpa due to financial considerations. Im currently in an NIH funded postbacc at Mayo Clinic. Bless you for reading this far, any and all advice is greatly appreciated!
  3. I would like to provide some information regarding the reality of getting admitted to top 5 ranked Canadian graduate schools in the Computer Science Program. I work in the field and it appears to me that many applicants are not aware of some of the basic requirements to be admitted that are not overtly stated but definitely required. Unfortunately, I am unable to reveal my university or position as I wish to remain anonymous. Most of the time, you MUST have previous degree from a top school of your country, especially for students with a degree outside of Canada/USA/UK. This is extremely crucial for international students and unless you meet this requirement, it is extremely difficult to be admitted. For most countries, you will need to be in the top 5-10 universities in your country (excluding Canada/US/UK/India). For India, UK, and Canada you will generally need to be in the top 20 universities and for the US, top 50 may be considered, however, top 20 has a greater chance of being admitted. One of the first considerations of the reviewer is the school in which you graduated and how that school ranks in your country. To elaborate, having a degree from a top university is important because this is the only sure way to prove that you are performing well academically because the teaching standard and research caliber of top schools are widely recognized and can easily be compared top Canadian universities. It is impossible for each top Canadian university to understand the teaching, grading and research standard of hundreds of thousands of universities in the world, including many in a foreign language with public and private systems and most reviewers will not dig around for information regarding unknown institutions. For example, there are some universities that give a grade of 75% or above to only one in a few thousand students, whereas another university can have a graduating average of 3.7 GPA. With variations like these, unless you graduated from a top university in your country where the general grading trend and teaching quality is recognized by the Canadian school, your chances of admission are slim to none. Furthermore, the other reason a top university is important is that reviewers want to see reference letters from colleagues or faculty they know and value the opinions of. Since most top researchers in Computer Science meet in major conferences, presentations and events around the world, they are aware of each other’s work, reputation and standards when writing and reading reference letters. Most of these outstanding members of the academic community are also positioned in top schools coinciding with the reviewer’s search applications from top schools. The top Canadian graduate programs in Computer Science receive over 1000 and sometimes even over 2000 applications per year, with three reference letters per application this is an astronomical number of letters to read. Taking this number into account, while the content of reference letters matter, the respectability of the reference writer is arguably even more important. For example, a reviewer reading 100 applications a day would have to read 300 reference letters, 100 of them may indicate that the student is in the top 10% of their program. In the end, being top 10% may not mean anything because there are too many top 10%s and it does not indicate the quality of the student or education. Moreover, there have been examples where the same reference writer indicated that three different students from the same year and class were the number one student in their class. In cases like these, reviewers go back to looking at the top universities, since the caliber of education is known, and they may know the reference writers, therefore, ensuring the letter is reliable. If you believe that there are many exceptions to the rule, consider that the admission data from the previous year from one of the top Canadians schools: only TWO offers out of more than 100 offers made were outside of the guidelines above. Of course, an excellent statement, GPA, reference letters, GRE, and English proficiency are also required even from a top university. Moreover, other factors such as publications, conference experience, research projects and work experience, other achievements are also considered, however, if you do not meet the top university requirement, you will likely need astounding achievements in the other factors to even be considered for admission. The information provided refers to research Master’s and PhD programs in top Canadian universities and does not necessarily reflect industry targeted master’s programs in Computer Science. I am happy to answer any questions or clarify any points, feel free to contact me or respond to this post.
  4. Esenabla

    Submitting Transcripts

    Hey all, I have received a copy of my official transcripts from my undergraduate university. I am applying to 10 PhD programs. Could I simply scan a copy of my transcript 10 times and send the schools those or must I send each school an actual transcript in the post? Thanks in advance
  5. Hi guys. I'm currently getting a research mscs in a top10 university in US (top10 cs undergrad in the states as well, both rankings are major rankings), and about to apply for CS PhD this fall. Here's some info:- GRE: 161 verbal, 170 quant, 4.0 writing- intern: 3 summer interns in the bay area- research & publication: 1 first author at ISIT, 1 second author at ACL, 1 second author at EMNLP, 1 third author at EMNLP.- GPA: undergrad 3.84, grad~3.9- recommendation letters: my advisors are pretty good, although they may not write super strong recommendationsI would like to do research in learning theory, also tcs or mixed integer programming. Here's my list:- reach: UCB, Stanford, MIT, CMU, Princeton, TTIC- match: UT-Austin, UWashington, UPenn, GeorgiaTech (ACO program), UWaterloo (ACO), UCSD? Cornell?My concern is that, although I have 4 papers, only 1 is about learning theory, the other 3 are about NLP, which I'm not sure whether would help with applications for learning theory direction. ML is getting very very popular nowadays and I know ML applicants who have a lot of papers get rejected by all the universities they apply... On the other hand, is learning theory a little easier to get in compared to ML? Since the former is theoretical. Also does anyone know how hard it gets to change research topics? I have no research experiences except for some courses (and reading on my own) in TCS or MIP, but they really appeal to me.So am I being too optimistic about these choices? Thanks a lot for any suggestions!
  6. Hi all! I could really use some help. I am working towards my BS/MS in Biomedical Engineering, thesis option. I want to pursue my PhD in MSE with a focus on biomaterials, particularly for diagnostics, biomimetics, and drug delivery. GPA: 3.55 (not great) GRE: 161V, 163Q Research: 2 publications (1 first author, 1 2nd), 3 conference presentations, 3 years research at Tier-1 research institution, summer internship at top international uni I will be applying to: University of Minnesota, U of Wisconsin, Boston University, Oregon State, UC Riverside, and maybe Washington State I am hoping to add 1 or 2 safety schools to this list, as I feel I am shooting above where I can realistically get in. I have no problem finding research I am interested in, but I don't know how to tell if I have a decent chance at admission. Also, is there any way to determine likelihood of full funding? I have heard many horror stories lately.
  7. I am planning on pursuing a PhD in astronomy (extragalactic/cosmology). I hear conflicting advice on contacting potential PhD advisors, but I figured I'd try to be a little proactive even if it might not be too helpful in my application process. What's the best way in contacting professors - especially in the sciences? To those who have had successful correspondence, how did you go about this? What kind of questions did you ask? Did you find it helpful? Forgive me for asking the dumb questions...I'd rather sound dumb here than in the email or the application! haha I'd appreciate any insights! Thanks:)
  8. Is is really that much important the reputation of the university? I have been accepted to the MALS Dartmouth, Queen's MA in Political Legal Philosophy, St. Andrews MLitt in Legal and Constitutional Studies and Sherbrooke University for the Master of Laws (LLM). So far, the advices I have received are really to go with the prestigious school - Dartmouth, Queen's St. Andrews and to not keep Sherbrooke University. However, I do believe there is a value in their degree -- LLM. It is normally quite impossible to enter in that degree without a prior law degree so I have to say that despite their lower reputation, I felt it was quite attractive to have this chance to study law at the graduate level. More particularly, if I had the chance to pursue a doctorate in law, I believe this program would be my only chance to pursue legal research or teach law later on.
  9. anxiousarthistorian

    Dealing with the aftermath of deciding

    I am coming off of what feels like a string of amazing luck and yet I can't quite bring myself to feel happy about anything, because it has required a set of incredibly difficult decisions about my future. I applied to six PhD programs split between Canada and the US and I was lucky enough to be accepted to all of them. I visited each school and weighed the pros and cons of funding, POI, cost of living etc. and it ultimately came down to deciding between attending the program where I did my MA and a large, well-respected American ivy league school. I really tried not to let the "prestige factor" impact my decision, but everyone I spoke to still weighted it pretty heavily in terms of post-grad work and also spoke very highly of the program I ultimately selected. At the same time, this program offered full tuition coverage and a guaranteed stipend while the Canadian program offered great funding, but I would have to pay the tuition costs every year out of that stipend. I later found out that I was awarded a doctoral SSHRC that they would have let me keep the whole amount of, meaning that I could have been making equal to what I would make at a an early-career level position at any major museum. But, I didn't find out about the scholarship until after I had to make my decision. Now I'm dealing with the struggle of less financial security, because my chosen school doesn't really allow me to combine their stipend with my external award, and the costs of visas etc. that also would have been covered by some of the other American schools I declined. For reference, the major American competitor was a school of equal calibre, but one that I had heard very negative things about. It seemed to me that people in the program were not happy in general and not a single person I knew recommended that I should attend. But, they offered a larger financial package (in part due to higher cost of living), guaranteed access to campus housing and a better healthcare package than the school I chose. On top of ALL of this, I was blessed to be offered a year long contract position at a major museum as a curatorial assistant for a job I applied to mostly out of duty and did not expect to hear back from. In the end, I decided to turn down the position because I already have considerable museum experience and felt that I really should just get started on my PhD instead of delaying one more year. But now I am left feeling unsure about ALL of my decisions: did I pick the right school? Should I have taken the job and deferred my PhD (but I would have lost the scholarship)? Is it too late to change my mind? How do I come to terms with my incredible good luck and feel good about my decisions instead of feeling gut wrenched by overanalyzing everything?
  10. I am in my second year of Masters and I am contemplating about applying for a PhD program next year. I am not sure about how much stipend I could get since it would vary in each university. But I want to calculate how much I would be able to save (to pay off my study loan). Again, I know it would depend on the number of months I am getting the stipend for and the living expenses according to the location of the university. I am currently in TU Delft and I know what my expenses are and the (possible) stipend I could get as a PhD candidate. I want a general estimate according to the experience of other PhD students in other universities.
  11. Hi everybody! I am currently planning on pursuing a PhD in Mechanical Engineering with a focus on robotics. While researching schools to apply to, I keep coming back to the same question. How strong is my application? I've listed credentials below and will just let you know right away that my biggest weaknesses in my application are my GPA , Letters of Recommendation, and lack of research experience. Major: Mechanical Engineering from UT Austin GPA: 3.31/4.00 GRE: Quan: 168 (94%) Verb: 159 (83%) AW: 5.0 (92%) LOR: Three professors (Either all three from engineering, or two from engineering and one from business). I'd say they will all be lukewarm letters. Research Experience: None Work Experience: Currently 1 year in manufacturing (unrelated to what I want to study my PhD in) Let me know what you all think! I'm currently looking at schools with grad mechanical engineering programs ranked 40-80. Also, should I consider doing a master's to acquire a better GPA and add research experience? Is it worth paying out of pocket? Thanks!
  12. I am new to this forum and not sure how this works. I have been working for 2 years post my Masters degree and I am considering applying for PhD programs this year to start in Fall 2019. I would like to get so advice to set some realistic goals when it comes to selecting my universities. I have copied the template from another post: Undergrad Institution: (D.Y.Patil University (India) not a big league school)Major(s): Biotechnology and BioinformaticsOverall GPA: the scoring scale was not GPA. I have sent it to WES for evaluation.Position in Class: AverageType of Student: International, Male. grad Institution: Georgetown University, Washington DCMajor(s): Biochemistry and molecular Biology.Overall GPA: 3.86Position in Class: top 5% Type of Student: International, Male. GRE Scores (revised/old version): I have not given my GRE yet I am going to give it in the next month. How much will that score matter in terms of aiming for top 10 schools.Research Experience: 6 month thesis dissertation for undergraduate degree followed by 1 year experience post degree working on the same project in India. 6 month thesis dissertation for graduate degree followed by 2 and a half year experience. Publications: 2 (2nd author, in reputed journals of impact factor: 8 and 10)Awards/Honors/Recognitions: undergraduate research project was awarded at a recent conference in India. Honors degree for academic performance at graduate level. Pertinent Activities or Jobs: In all, a research experience of 3 years + (2) 6-month thesis. I have worked on wide range of topics from diabetes, lung cancer, wound healing, breast cancer, neuroinflammation and cancer immunotherapy. Applying to Where: I am mainly attracted to transnational research in cancer Biology/molecular Biology with recently developed fascination for immunotherapy. I am hoping my profile is competitive enough to apply to the top schools but I am not sure. Any advice in much welcomed and appreciated.
  13. I'm planning to apply for a PhD in English (Literature) and I'm wondering about the foreign language component. All of the schools I'd most like to apply to require 1 or usually 2 foreign languages examined by the end of the second year or so. Yale also mentions on its admission requirements that they want 'preparation in languagessufficient to satisfy the language requirement' and Harvard says that 'While there are no specific prerequisites for admission, a strong language background helps to strengthen the application'. None of the others seem to mention languages at all in their admissions sections, only in the details of what's required during the course. Does anyone know how important the language background is relative to other elements of the application? My personal situation: I have a UK A-Level in Latin and a GCSE in German. I've been working on my German online (duolingo etc.) but I have no new qualifications to show evidence of progress. I did an informal assessment at the Goethe Insitut in London, and they reckon I could probably handle a B1 exam, which the internet reckons is about equivalent to a UK AS-level, halfway between GCSE and A-Level, but I don't know if it really counts for as much on an application. If I did take the exam, it might show that my German is ongoing and improving, but I have relatively little time to prepare for the exam, it's alarmingly close to the application deadline, so if my results don't come on time it might count for nothing anyway, and I think it might be a better use of time to work on my writing samples/preparing for GREs etc. Any advice would be very much appreciated. Thanks a lot.
  14. abbyt

    Future PhD on my CV?

    Maybe a little off-topic from this forum, but who knows, maybe this is a common dilemma. I need to send my CV to a professor who's considering me for an RA-ship at the school that I've already been admitted to for my PhD that I'm starting this fall. What's the best way to put "incoming PhD" on my CV? I don't have anything close to an estimated completion date or anything, but presumably I would put the fact that I am actually attending the school on my CV, right? I already have my MA, but if I don't put anything about starting the PhD on my CV there won't be any indication that I'm in the field that I'm going into (the PhD is a pretty big jump from my MA area). Thanks!
  15. loopyunicorn21

    DAAD 2018-2019

    A place for all who have applied for DAAD PhD research grant for 2018-2019. Share your updates
  16. Greetings everyone! I am planning to apply for Biostatistics Ph.D./statistics master programs this fall. I am humbly and sincerely asking for your gracious advice! Below is my background: Institution: Top UC's (Statistics program ranking: 31) Major: Applied statistics (concentrating field: mathematics) I know it is weird... My intention is to learn more math since I switch my major from applied mathematics. GPA: 3.5 Type of Student: International Asian Male GRE General Test: Not taking yet, will do soon Programs Applying: Ph.D. in Biostatistics/Statistics Research Experience: 1 year of RA in biostatistical research experience and currently working on Large-scale biostatistical data mining. Teaching Experience: One-quarter of Learning assistant for calculus Letters of Recommendation: One from my research advisors, two from my statistics professors Relevant Courser Work: (P means Pass, some are optional) Math and Stat Courses: Cal 1-4: All (A's) | Linear Algebra: (B) | Elementary Statistics: (A) | Intro to Abstract Math: (C+) (with 70% of the class below C- range) | Differential equations for: (P) | Real analysis_1: Pass | Real analysis_2: C | Regression analysis: B | Statistical Data Science: B+ (right after I switched to statistics from Applied math major, without any R experience beforehand, worked really hard) | Probability theory: (P) | Time series: (C-) (was taking 5 upper divs at one quarter, trying to allay from my tuition burden, trying to finish in 4 years, therefore admitted sacrifice) | Nonparametric statistics: (C) (medical condition) | Analysis of categorical data: (C+) (medical condition) | Analysis of Variance: (B+) (mental medical condition)| Mathematical statistics: (A-) (medical condition) | Euclidean Geometry: (B+) (still in love with proof writing, want to prove myself) | Applied statistics: (B+) | Advanced statistics undergraduate independent study: (P) | Programming and problem solving: (B) (C language) Computing Skills: R (Proficient, but still learning and exploring), Matlab Applying to: UC Berkeley-biostatistics (master) Stanford - statistics (master) UCR - statistics UCSC - statistics SMU - biostatistics Duke - Biostatistics Columbia - Biostatistics University of Michigan - Biostatistics UIUC - statistics Notre Dame - Statistics University of Minnesota - Biostatistics CMU - statistics in Public policy University of Pittsburg - biostatistics NCSU - statistics Uccon - biostatistics ISU - Statistics USC - Biostatistics UCLA - biostatistics Yale - Biostatistics I am pretty sure that I am not competitive enough since both my math/statistics class rarely curved (Statistics department is known for the epitome GPA deflation ) I am preparing for the worst to come. Please enlight me and guide me through this, thanks! Please be critical for my school selection!
  17. Hey everyone ? I'm an international student who has been accepted in a university in the US (PhD program) with a fellowship for the first year, & then an assistantship. I'm considering also application for a scholarship in an Australian university this July, which has a research center that I'm highly interested in. However, the results of Australian apps only appear in the start of the American academic year, whence I will probably have started my PhD in the American university. I'm asking if it would be possible, or bad to leave that American university (after I started there, with a fellowship) if I get accepted in the Australian program that I prefer? I highly need your advice, please, because I'm very confused. Have anyone passed through a similar experience before?
  18. Abhirup Basu

    TOEFL

    I will be applying for Ph.D. in chemical engineering in FALL'19. I have just received my TOEFL score and my overall score is 110. (R-28, L-30, S-23, W-29). However, in the university website of UIUC and UCLA, although the overall minimum score is 87, the cutoff for speaking section is 24. As you can see my overall score is much greater than the minimum requirement, but my speaking score is one mark less than the requirement. Will it interfere with my application process? Or should I need to retake the TOEFL again? Please let me know regarding the same.
  19. Hey, I just got admit from Vanderbilt Biomedical Engineering PhD. I was interviewed on 13th April and the following day got an admission. "If you are out there... if anyone is out there... I can provide food, I can provide shelter, I can provide security. If there's anybody out there... anybody... please. You are not alone."
  20. Hi all-- I'm currently working on my application for a Biological and Biomedical Sciences PhD program, and was wondering...What are the best resources for getting help writing a Statement of Purpose? I've already written my Statement, but am looking for feedback and ways to make it better. Any suggestions would be helpful. (I looked into paid editing services already, but was told that most schools don't allow this, or discourage applicants from using these services.) Thank you for your help.
  21. Hi everyone, I am looking for some help about my list for Ph.D. programs in statistics. I figured now is as good as ever to post a profile especially because I am starting to work on my personal statement, SOP, and am trying to figure out my life a little more before senior year starts. Any advice is really appreciated as I am pretty different from most of the posters who are on this forum, so I hope my profile will help those who are in a similar boat to me! I apoloigize for the length but my background really isn't the traditional application you would see. Undergrad Institution: Small LAC in PA Major: Mathematics and Finance GPA: 3.45 (overall), 3.3 (Math) Type of Student: Domestic White, also a very well decorated NCAA athlete, if that helps Courses/ Background: Calculus I-III (B+), Linear Algebra (C+) , Mathematical Statistics I&II (B) , Transition to abstract math (proof writing) B+, Combinatorics and Graph Theory (B), Math Analysis (B), Experimental Mathematics (A), Independent study: Statistics; researching rivalries (A), Independent Study: Statistics; predicting voter turnout (A) Next semester I will be in: Math: Abstract Algebra, Linear Algebra (Graduate level to show I can do linear algebra because I was dealing with personal issues that semester), Statistical Models, CS: Multimedia in Python (if relevant) GRE: Retaking! 158 Q / 156 V (I'm a terrible standardized test taker, but hope to hope to be around 160-163 Q) Research Experience: 3 total years of research. One paper in statistics on assessing the prevalence of gerrymandering is in review now (done with my advisor and I), we are currently working on another project related to voter turnout (a paper will come out of it by the fall, again by my advisor and I), Previously a research assistant on researching rivalries in baseball (with a very famous mathematician) ,Have an OEIS sequence pending review now for publishing (I constructed a new sieve to find all prime numbers), Finally, Will be a Researcher in algebra in the Spring Letters of Rec: I will have 4: 1 from my advisor, 2 from professors I have done research with, and 1 from the research coordinator. I would say they will be pretty good. I am very close with my major advisor and he is a very good writer, and knows a lot about me. My statistics research advisor graduated from PSU a few years ago, and we have been doing research for 2+ years, onto 3. My other research letter is from the dept head who I did baseball research with. He is very well known in sabermetrics (baseball statistics), and I hope that will help. Finally, my last letter writer is the REU program head, and I have had him in numerous classes. He was one of the directors of DIMACS at Rutgers and he not only knows a lot of people but is also pretty famous. He worked with some of the most famous graph theorists and knows a lot about the process as he has sat on graduate committees for 20+ years, so I hope he knows what to write! Awards/Honors/Recognitions: Dean's List, Outstanding poster award at JMM18 for statistics (given to 3 kids), Presented research at 7 conferences (including JMM), Have research grants over the last 2 years including 2 summer REU's in number theory. Given my academic record is all over the place (I dealt with crippling migraines which I have every day for 2 years, hence my poor performance) I will be applying to a lot of school. However, the two semesters I haven't dealt with migraines, including the last semester, I received a 3.8 so my grades are on the way up, and the trend can be seen in my math GPA as well! Schools: GW Temple South Carolina UConn NCSU (Because of all my spatial statistics research, I know its a reach) FSU UNC Charlotte (applied math) UNH PSU (research advisor just graduated a few years ago from there) VT Rutgers UMich (family friend runs a bio lab there) UMD (best friends dad has a astrophysics lab there) George Mason UVA OSU UC Riverside UNC UGA UF I know the list is very long but that is because I would be happy going to pretty much all of them, I just need to get into one! Thanks so much for any of your help! Ben
  22. 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.
  23. I've looking for MA and PhD courses in the US. I like what the State University of Washington and NYU are offering. What I don't understand is why is it necessary to know a foreign language while doing PhD? What if I choose to research on something that doesn't require knowing any foreign language?
  24. Going into my 3rd year and I've been thinking about graduating a year early (i.e., in 2019). Should I even consider graduating early and applying to PhD programs with the following profile? Undergrad Institution: US Top-5 in Statistics Major: Statistics GPA: 3.95 Major GPA: 4.0 Type of Student: Asian Canadian Male Courses: Real Analysis (A), Probability Theory (A+), Statistics Theory (A+), Linear Algebra 1-2 (A+, A), Data Computing (A+), Discrete Math (A+), Calculus 1-3 (all A+), Data Science (A) Courses for Next Year: Real Analysis II, Stochastic Processes, Abstract Algebra, Machine Learning, Numerical Analysis, Linear Modelling GRE: Q: 169 V: 165 W: 5.5 Program Applying: Statistics PhD Research Experience: 1.5 years in psychology lab helping with database management and surveys (no publications). 1 semester in a independent reading project in pure math. Recommendation Letter: 1 from research advisor, 2 from professors/lecturers I've had. I don't expect any to be particularly strong. Coding Experience: R, Python Programs Considering: Michigan Wisconsin Toronto UCLA UC Irvine UT Austin Michigan State UC Santa Barabara I've done well with the courses I've taken so far, but I've only really completed the bare requirements and I'm not sure if I should even consider applying for 2019. If I were to apply for 2020, I'd have actual grades for the courses I'm planning on taking next year instead of just "In Progress," a second major (math), and likely stronger recommendation letters. Any thoughts, comments, or advice would be much appreciated!
  25. 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.
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