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Found 128 results

  1. Undergrad/grad Institution: large public university Major: Biology-Cellular/Physiology Track (BS), Mathematics (BA) Minors: Global Public Health GPA: 3.82 (Biology: 3.58, Math 3.93) Type of Student: Domestic Relevant Courses: Transfer from HS (Dual Credit): Computer Science, Advanced Computational Problem Solving, Calculus I, Calculus II, Bioinformatics, Molecular & Cellular Biology, Genetics Undergrad Biostatistics (A), Adv Biostatistics* (A), Adv Biostatistics II* (A), Intro to Biostatistics - SIBS* (A), Calculus III (A+), Linear Algebra (A), Intro to Higher Math (A-), Probability (A), Real Analysis (A); numerous biology courses, chemistry courses (through organic II), and public health courses *graduate level, used R and/or SAS Courses in progress: Modeling qPCR Curves (independent study/undergraduate research with biostatistics professor, R programming), Discrete Math, Math Statistics GRE: 166V, 164Q, 3.5W (will be retaking now that ETS confirmed accommodations) Programs Applying: Biostatistics PhD Research Experience: Bioinformatics (Past): annotated a section of a virus genome – results in GenBank research project on virus distribution – used Mathematica, resulted in 2 poster presentations Current: qPCR curve modeling - using R, modeling curve in order to predict absolute starting concentration of template DNA from raw fluorescence values Teaching Experience: Tutor for microbiology and biostatistics at university tutoring center Pertinent Activities or Jobs: ASA member - attended JSM for the last two years Recommendation Letters: Will be asking this week: biostats professor (with whom I am currently working on research), director of the biostats summer program I attended (who offered to write one), calculus 3 professor Coding Experience: R, Mathematica, Bash, SAS, Java, dabbling in others Other: LaTeX (I typeset all of my math homework), virtual machines, porting Windows software to Unix systems Definitely Applying to: Emory University (SIBS) grad program at home institution I am particularly wondering about what "tiers" of programs I should apply to (which programs would be "safeties", reaches, etc.) and whether there are any programs that would be interested in applicants with extensive biology background. Any recommendations regarding my profile are greatly appreciated!
  2. Undergraduate Institution: Top 10 by US News Ranking (Ivy League/MIT/Stanford/Duke/UChicago) with top 5 stats program Major//Minor: Statistics major and CS minor Cumulative GPA: 3.79 Major GPA: 3.82 Student Type: International Asian Male GRE General Test: Quant:170, Verbal: 160, AW: score hasn't been out yet GRE Math Subject: not planning to take it Classes: Statistics: Bayesian Stats (A+), Machine Learning (A), Mathematical Stats (A), Regression Analysis (A-), Statistical Consulting (A), Decision Analysis (A-), Causal Inference (in progress) Mathematics: Linear Algebra & Differential Equations (A), Multivariable Calculus (A-), Probability (A), Basic Real Analysis (in progress) Research Experience: I worked on applied statistics research on the topics of missing data imputation and prediction model for my senior thesis in statistics (It is a year-long project). I had a good working relationship with my advisor, and really learnt a lot from this experience. I am currently working on methodology research in causal inference and ML with two other faculties in the statistics department. The research has been going well, and we are publishing the paper in the upcoming few weeks. I have also worked on interdisciplinary research in energy data for about a semester, where I got acknowledged contribution for the published paper. Research Interests: I am interested in both applied and methodology research in statistics. Specifically, based on my past research experience, I find causal inference a fascinating field, and can see myself working on problems related to this field in the future. In addition, I also enjoy building prediction model, and apply advanced statistical techniques and machine learning to problems related to social science/healthcare. Publications: To be submitted: I am submitting my causal inference research paper in the next few weeks. Acknowledged Contribution: Scientific Data (accepted) Teaching Experience: I was a TA for undergrad level mathematical statistics and graduate level bayesian statistics class. Letters of Recommendation: I haven't asked my advisors for rec letters yet. If everything works out, I will have one strong letter from a senior faculty in stats department, where I worked with this faculty for a year for my senior thesis. Another letter from a junior faculty in stats, where I have working relationship with this faculty (research + TA) for around 5 months. Another letter from a senior faculty in stats/CS (also 5 months of research with this faculty). My Questions: Since I am applying for both statistics/biostatistics PhD, there are lots of options. I would like to narrow down my options to 15 - 20 schools. I am leaning more toward statistics program, so I will apply to more stats than biostats school. My target programs are Harvard, UW, U Chicago, and CMU. What are my reach school and safety school? Is it bad if I apply to the same school for both stats and biostats programs?
  3. Undergraduate Institution: NC State Major//Minor: Statistics, Minors in Math, English, German Cumulative GPA: 4.00 Major GPA: 4.00 Student Type: Domestic White Male GRE General: Q: 168 (94 %tile) V: 168 (98 %tile) W: 4.5 (82 %tile) Classes: A+: Java, Intro to Advanced Math, Statistical Computing, Regression Analysis A: Calc 3, Intro to Stat, Linear Algebra, Survey Sampling, Experimental Design, Data Science, Operations Research A-: Differential Equations, Math Stat I, Math Stat II B: Real Analysis I (honors section if that counts for anything) In progress: Nonparametric Statistics, Applied Time Series, Real Analysis II Programming Experience: R, SAS Certified, SQL Research Experience: SIBS at Boston University, statistical genetics REU, functional data analysis research with professor at NC State Work Experience: Internship as Data Scientist at Boeing, applied statistics work for fundraising office at NC State Research Interests: Statistical genetics, machine learning, unsure Publications: None Letters of Recommendation: Strong letter from REU mentor, letter from advisor and letter from professor I did research with at NC State Schools: Statistics PhD: Carnegie Mellon, Ohio St, Penn St, NC State, Cornell, Minnesota Biostatistics PhD: Harvard, Washington, UNC, Boston U My concern: low grade in analysis, lack of other high level math courses
  4. Undergraduate Institution: Relatively medium sized state university in South, nationally unranked Major: Mathematics Minor: Statistics and Economics Cumulative GPA: 3.95 Major GPA: 3.92 Student Type: International, South Asian GRE General Test: 164Q, 151V, 3.5AW Classes: Calculus I,II,III (A,A,A),Vector Calculus (A),Differential Equation (A) Linear Algebra (B) Intro to Adv. Maths (A),Real Analysis I,II (A,A), Abstract Algebra I (A) ,Discrete Mathematics (A),Numerical Analysis (A) Graph Theory (A) Introductory Statistics(A),Statistical Computation and Analysis(A), Mathematical Statistics I (A)Experimental Design (A),Regression Analysis (A), Econometrics(A),Independent guided study (B):it was a single credit course In progress: Complex Analysis,Topology (Expected A in both) Courses last semester : Mathematical Statistics II &Abstract Algebra II (will talk about this in SOP) Programming Experience: R, C++,(Took a class for both, have very preliminary knowledge) Research Experience: One summer REU at one of the top 5 (USnews) stat PhD University this summer.Worked on applied math project.Produced a paper and submitted to journal for publication but have not heard anything yet. Worked with an oncologist on a paper about "ROLE OF STATE LEVEL AND NATIONAL LEVEL CANCER DATABASES IN LEUKEMIA RESEARCH".Poster presentation was done in a conference in Hawaii. Apart from those, I have worked on some little math projects with my professors and presented them twice at national conference and thrice in university conference.I am in touch with another oncologist who is working on precision medicine, so if everything goes well, I will start working on a paper with him from coming January. Research Interests: I have figured out fields like Clinical Trials Design and Analysis, Precision Medicine, Imaging,High Dimensional Data Analysis,Statistical genetics, Biostatistics theory,Survival Analysis,Environmental and Spatial Statistics in biostatistics.I don't know in depth about any of these. I want to work on applied field.Please suggest me a good one which is less explored. Also, In statistics I have figured out fields like Bayesian Statistics, Multivariate and Time series Analysis, Robust Statistics, Regression Modeling.Please add some more you know and suggest me an applied research field. Recommendations:First one is from my Math Chair and should be a really good one.Second from my statistics professor, do not know how that is going to be but he knows me really well and I have A in all his classes.Third one is from my research advisor at REU.Hope that would be a pretty good one. Awards/Achievement:Nothing much but Calculus competition Winner,Inducted to Pi Mu epsilon honor society,Math Club President. I am planning to apply 15-20 universities.Please suggest me at least 7/8 for both (statistics and biostatistics)
  5. Undergraduate Institution: Small Southern University Major: Mathematics Minor: Physics GPA: overall: 3.73 Math: 3.66 (I had one rough semester of mostly B's and one A that I will explain the extenuating circumstances behind) Type of Student: Domestic White Female Courses Taken: Intro to Mathematical Proofs (A), Differential Equations (B), Probability and Statistics (A), Intro to Abstract Algebra I (B), Intro to Real Analysis I (A), Calculus 3 (B), Statics (B), Mechanics (B) THIS Semester (intended grade): Functions of a Complex Variable (A), Discrete Mathematics (A), Computational Tech in Physics (A), Undergrad Research in Statistics (A) ** note that the schools currently on my list will receive this semester's grades as their deadlines will be after grades are due GRE General: Q: 183 (83 %tile) V: 158 (80 %tile) W: 4.0 (59 %tile) (Plan on retaking as my practice tests had my in the 90+% for quant) Subject test: TBD Programs Applying: A mix of OR, Biostat, and one ME MS Research Experience: Currently working on an honors thesis focusing on the PDE heat equation and hopefully finding an accurate experimental way to model it in two dimensions so I can then model via program and mathematically. I am also required to do a senior project which will be based on the combinatorics or a particular board game Awards/Honors/Recognitions: Dean's list a few semesters, Honors graduate, graduating a four year program in only three years, a few university scholarships Letters Of Recommendation: Two confirmed. One from a professor I had for linear algebra, proofs, and abstract. The other I had for calculus three, differential equations, and complex variable and he is also my thesis adviser. Next Semester Schedule: Numerical Analysis, Stochastic Processes, and either Abstract Alegbra 2 OR Nonlinear Dynamics and Chaos (any suggestions here would also be appreciated) Schools: ( I appreciate any and all guidance, especially in this category) ME MS- Boston University's LEAP (engineering masters program for non engineering undergrads) OR Programs (MS unless otherwise noted) NCSU Simon Fraser Ohio State Bowling Green GT- (i have a fee waiver, so why not?) *PHD Biostat Programs (MS unless otherwise noted) Louisville Northwestern Iowa UNC University of Georgia Georgetown Thank you for any and all feedback! *Note that this is only my third year so if i should stay another semester, that's also another option
  6. I'm an international student who graduated from the UK in 2016. I'm applying for PhD programs in Biostatistics/Statistics, starting Fall 2019. Please leave some comments on my profile, especially the range of schools to which I'm applying. BSc Degrees: Mathematics with specialization in Statistics from a top-10 university worldwide GPA: Top 10/~250 Master Degree: Finance from a top-10 university worldwide GPA: Top 10/~40 Type of student: Asian male Program desired: PhD in Statistics/Biostatistics Research Experience: coauthor of one published paper on an international journal in econometrics. I have also done 2 research projects (~ 3 months each) that were outsourced by private companies. Both were related to Statistics/Data Analysis. During undergraduate studies, I had 1 individual poster project, in which I made a poster on statistical classification using LaTeX and presented to faculty members, 1 group project on Support Vector Machine and Kernel Smoothing, which also involved writing a report and presented our work to professors, and 1 individual project on Pattern Recognition, which heavily involved R programming. Teaching: 2 semesters of TA in Probability & Statistics and Time Series. I will TA another 2 semesters this year LOR: 1 from my professor in the UK, who was my personal tutor. 1 from a professor, who is currently the director of the research institution I'm working at. Both should be strong. I can get the last letter from another professor, but whether it's strong or not is a question mark. Programming: Proficient in R, MATLAB. Competent in C++, Visual Basic. Proficient in LaTeX GRE: Verbal 162, Quantitative 170, Writing 5.0 GRE Subject Math: 820. Not sure if I should retake Coursework: most were A+, some were A and 1 B in Computational Maths. My first 2 years focused on developing a rigorous mathematical background while my final year consisted of graduate level courses, mainly in advanced Statistics. First year: Foundation of Analysis, Mathematical Methods I, Mathematical Methods II, Computational Maths, Mechanics, Probability and Statistics I, Geometry and Linear Algebra, Algebra I, Real Analysis Second year: Probability and Statistics II, Algebra II, Introduction to Numerical Analysis, Analysis I, Complex Analysis, Statistical Modelling, Differential Equations, Multivariate Calculus Third year: Statistical Pattern Recognition, Applied Statistics, Stochastic Simulation, Credit Scoring I, Scientific Computing in C++, Quantitative Finance, Survival Analysis, Games Risk & Decisions Research Interests: I'm interested in high-dimensional statistics and machine learning, with applications to chronic diseases and cancer research in particular Applying to: Biostatistics: Harvard UNC Wisconsin-Madison (biostatistics track) Minnesota - Twin Cities Rochester Statistics: CMU (joint statistics and machine learning) Yale Cornell North Carolina State Michigan - Ann Abor Ohio State Penn State Note: I'm currently working for a research institution, which is part of the national university in my country. I expect some more projects in this academic year, though I'm not sure if these result in publications. It's unlikely that these will come before the application deadlines anyways. The things that concern me most is the questionable 3rd LOR and the lack of published papers (only 1 for me). I've also heard that chances are much slimmer for international students.
  7. Hi, I am planning to apply to Statistics and Biostatistics PhD programs for Fall 2019. I'm an international student. I completed my undergraduate degree in Statistics and Math in a top 15 university. I'm currently doing a MS in Biostatistics at a top 15 university. I have a undergraduate major GPA of 3.5, I had some mental health issues that screwed up my life pretty badly during my junior and senior year, which caused a major decline in my grades in a few statistics and math classes. I've been continuously involved in one research project after another since summer of sophomore year. After I began my MS program, I tried a lot harder to put my life back on tracks, I also did my best to take graduate versions of the courses I did badly in college to try to make up for them. My graduate GPA is 3.85. As of now, I've had 4 research projects, one poster at a Statistics conference, and no publication, although I am working towards publication, so I may have one or two papers in submission by the time I apply. I'm also taking the GRE math subject test later this Fall. I'm still assembling my list of schools, but right now I have Columbia Stat, UPenn Stat, Harvard Biostat, CMU Stat, Yale Stat and Data Science, and JHU Biostat. I would appreciate any honest assessment of my profile, suggestions to programs that would suit me, and any suggestions to improve my application. Many thanks in advance!!!
  8. I know this probably isn't quite a usual post, but since a couple peers have suggested that the answer to the given rhetorical question might be "yes", I figure I should run it by the experts: I'm applying this upcoming year, and I anticipate graduating with 4 majors -- pretty much, I was double-majoring in Econ and Psych, and then added Math and Stat later on. Will admissions committees see my CV/transcript and think that, say, I have a hard time being decisive, or won't be committed to statistics long-term? Should I at least spend a portion of my personal statement explaining (in more words than above) how I came to have 4 majors, so as to help explain my situation and prevent any presumptions of waffling? While I'm at it, is there any chance admissions committees would think this is a positive? Most people here appear to be double-majors at least, so I'm assuming not, but if schools really look at GRE scores in any detail like this post (https://forum.thegradcafe.com/topic/99147-what-im-looking-at-when-i-review-applications/) would suggest, then maybe they would look at strange numbers of majors too? Well, have fun skewering me, hopefully at least I've made y'all's weekends more enjoyable by laughing at this topic.
  9. Undergrad/grad Institution: Vanderbilt Major: Molecular and Cellular Biology Minors: Scientific Computing, Chemistry, (maybe math, if I decide to take diff eq) GPA: 3.8 Type of Student: Domestic Asian Male Relevant Courses: Single variable calc 1 and 2 (5 on AP test), multivariable calc (A-), intro to stats and probability (A-), stats lab (A), biostats (A), genome science (A), thermodynamics (A-), calc-based physics lecture and lab (A), Data Science Methods for Smart Cities (A) Courses in progress: Foundations in bioinformatics (grad course), linear alg, real analysis GRE: Taking in a week, but I got 180 quantitative on all practice tests, 155-160 on verbal Career goals: Leaning towards industry. Interested in bioinformatics, and I want to get a solid education in the statistical theory behind it Programs Applying: Biostatistics PhD (only applying to MS programs if PhD apps don't work out) Research Experience: Two years worth of research at Vanderbilt (one project on RNAseq analysis, new lab focused on machine learning for genetics) One summer internship in industry focused on machine learning and medical imaging Just got back from 3 week Summer Institute in Statistical Genetics at UW. Mostly just attended lectures, but I luckily got to talk to the UW professors a little Recommendation Letters: One from biostats prof, the other two from PIs from two diff labs, one of whom is a big name in evolutionary genomics Coding Experience: R, Python, Matlab Applying to: University of Washington University of Michigan University of Minnesota UNC Yale UPenn MD Anderson Duke University of Pittsburgh Boston University University of Rochester I know my math background is lacking, but I only recently became interested in biostats, and I'm trying to make it up by taking more math courses senior year. Any tips? Or schools you would add/remove from my list?
  10. 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!
  11. jjj02027

    PhD applicants: Fall 2018

    Hi, Thought I'd start this topic for 2018 fall applicants specifically for Public Health. I realise there is a general one for all applicants, but thought it might be useful to have one for just a Public Health field (in the most broad sense). I apologise if this post is redundant. I just wanted comments on whether my choice of universities were too strong. Although these were the only programmes which matched my interests. Feel free to comment/share your experience so far. Undergrad Institution: Imperial College London, UK (Top for science in UK)Major(s): Biomedical SciencesMinor(s): n/aGPA in Major: no GPA system in UK (Upper 2nd class)Overall GPA: n/aPosition in Class: Type of Student: International female Postgrad: MSc in Public Health (GPA 3.88) at London School of Hygiene and Tropical MedicineGRE Scores (revised/old version):Q: 160 (76%)V: 167 (98%)W: 4.5 (82%)B:TOEFL Total: n/aResearch Experience: 2 years in health services researchAwards/Honors/Recognitions:Pertinent Activities or Jobs: some teaching assistanceAny Miscellaneous Accomplishments that Might Help:Special Bonus Points:Any Other Info That Shows Up On Your App and Might Matter:Applying to Where:Harvard, John Hopkins, UNC, UCLA, UCSF, Northwestern, Brown, Ohio State, Iowa, Standford
  12. I would like to ask for your opinion regarding my application for PhD programs in Biostatistics 2019. All programs seem to require strong background in mathematics, demonstrated by several semesters in Linear Algebra, Advanced Calculus, ideally Real Analysis and Numerical Analysis as well. Some top programs seem to favor students with previous experience in programming languages such as Python, R or MATLAB. However, I am not sure if PhD programs in Biostatistics also require previous exposure to Biology and/or Genetics of any sorts. I graduated with a bachelor and a master degree with heavy mathematical/statistical components from a top UK institution (my bachelor degree was in fact mathematics with specialization in statistics). But I am not sure if the lack of formal training in biology will be a big disadvantage to me when applying for top Biostatistics programs. Apart from PhD programs in Biostatistics, I am also applying to Statistics programs, where there are faculty members with interests in biomedical sciences. Thanks very much for your opinions.
  13. I've heard of a lot of people who applied to University of Michigan's Biostatistics PhD program and got offered admission to their MS to PhD fast track. My question is should I apply for just the MS, just the PhD, or both programs if I want to get that fast track offer? I'm a molecular and cellular biology major, with a little higher than a 3.7 math GPA (only took "multivariable calc" and "intro to statistics and probability and the associated lab", and I'm taking linear algebra this fall, maybe another math class spring semester). I also saw on the UM website's tableau graph that around 70% of applicants get into their MS program. Am I just imagining that?
  14. Hi everyone, It's near April 15 now. And I still can't decide on this two programs. --- UNC pros: Higher rank in biostatistics, and better location (triangle area). I do believe UNC is more than well-regarded in this field. Does it mean their student will have better opportunities in finding academics and industry jobs? UNC cons: As an international student, I still haven't received any funding. And it looks like it has always been a problem for UNC. To me, it kills the creativity when you have to worry about money in PhD life. --- UW Madison pros: It's full-funded. The curriculum of UW Madison seems legit to me. They provide 3 course sequences in Biostatistics Theory and Methods, Computer Science, and some Specialization Topics. I really like the CS sequences, because I'm major in Statistics now, and didn't get much CS training, which I think will be of huge importance in graduate study & research. UW Madison cons: As opposed to the UNC pros, it's not as highly ranked. The location and weather are not as good I guess? And it is a new program. I literally can't find any insider's experience. There are too many uncertainties. --- Any thoughts on this two programs? Please help me, any comments or thoughts will be much appreciated. Thanks!!!
  15. I am trying to decide between two MS Biostatistics programs and am wondering if anyone can offer insight. 1. Boston University MS Applied Biostatistics. This is a 12 month (full time) program is in a School of Public Health, but incorporates a research component (500 hours total). 2. Northwestern University MS Biostatistics. This is also a 12 month (full time) program in the School of Medicine. My goal is to work as a data analyst in a hospital or university, with specific interests in clinical epidemiology. Although I’m still open to pursuing a PhD (most likely in Epidemiology), I also want a robust quantitative background that would allow me to work after the Masters. Both are similar in that they are more applied biostatistics programs that are flexible if I choose to later on work full or part time during the program. I feel as though Northwestern has a better name/prestige but BU’s main draw is the location in Boston which has so much opportunity in the biomedical sector. However I’m worried that even if I were to choose BU that I would be overshadowed by those with more prestigious degrees or schools in the Boston area. If you have any advice, please help me in my decision. Edit: In terms of program “fit”, I’m attracted to BU because I’ll be closer to my long-term partner who was also accepted to another school in Boston. In terms of research interests, Northwestern has an edge (and less competition for opportunities due to the smaller program).
  16. Hey everyone! I am admitted to MS biostatistics programs at UNC and Michigan. Both schools have an internal process and a preference of admitting their own master’s students to their own PhD program, especially UNC. I was wondering would it be bad if if apply for an internal transfer as well as trying to apply for other TOP biostatistics programs like Harvard or JHU in the meantime? Would it be a bad impression for the faculties? Thank you!
  17. Hello all, So my name is John Thomas, rising senior at Ursinus College. I am doing undergraduate research at both Ursinus and Temple, and doing an internship at a national taste testing facility known as RDTeam. I created my own major in Statistics here and am the first of my kind. Starting out as Bio, I had grades in the mid 2's , speaking GPA. I have climbed up to a 3.12 cumulative and will be taking probability in the fall. This is also when I will be applying but my fear is that I will not be considered since I will not have taken 3 courses in my major (Differential Equations, Mathematical Statistics, and Linear Regressions) at the time of my application. I would ideally like to get into a PhD program right out of college but I fear without these courses on my transcript I will not be able to. What are some ways I can overshadow this, or should I just put all my marbles into starting out as a Masters student? Also, if anyone has any east coast theoretical statistics programs, please list! Thank you all -John
  18. Hello! I've been accepted into Columbia and UNC's Biostatistics MS programs and I'm having trouble deciding between the two! I'm leaning towards Columbia but it worries me that their Stats department is apparently not well regarded. Does this reputation extend to their Biostats department, even though their department is still in the top 10? I know that UNC is a better program overall and has more renowned professors, but if my end goal is to pursue a PhD, does it matter where I get my MS? Cost is not a strong factor because I consider living in NYC to be a once in a lifetime opportunity. I am also more interested in eventually working in industry if that helps. (I've heard that Columbia has more ties in industry and UNC is more theoretical with difficult quals) Thanks so much for any replies!
  19. So I received a PhD offer from UNC Biostats last week, yet the offer letter did not mention funding details and says 'funding will be determined separately'. I looked through several threads about UNC biostats from last year, and found some applicant admitted to UNC biostats PhD program seems to be unfunded (at least until last March, the date that thread was posted). I am an international student and I feel it might be more difficult for me get funded, so I am a bit worried, and wanted to ask if anyone knows about the funding opportunity at UNC. Thanks a lot!
  20. So, those are the only two schools I got into. University of Maryland SPH, and Milken Institute SPH (GWU). Milken is significantly more expensive (about double UMD) but doable w/ loans if I work part time. I'm fine with both of the actual programs themselves in terms of courses offered, but is either one held in significantly higher regard than the other? Will the school's reputation matter much for an MPH in Biostatistics anyway? I talked to a couple of advisors but didn't get any definite answers.
  21. I was wondering how much weight does having a decent GRE Math Subject Test has on an application. If so, what should the target range be for domestic/international students?
  22. I recently received admission offers from U of Michigan's MS in Biostatistics program and Purdue's Statistics program, and I'm having trouble deciding between the two! I plan to pursue a Ph.D. after graduation. Both programs have pros and cons, and it is tough to reach a decision. For example, the U of Michigan's Ph.D. in Biostatistics highly prefer their own MS students and has a higher ranking. While Purdue allows MS students, who wish to transfer to the Ph.D. program take the qualifying exams. I don't have a clear research interest yet. Will an MS or Ph.D. in Biostatistics narrow my choice in the future? I'm leaning towards Purdue since I am more interested in working in IT industry. Thanks in advance for any suggestions!
  23. I'm trying to decide between M.S. Biostatistics at Columbia and M.S. Applied Biostatistics at Boston U. The appealing thing about Boston U is that the program is only one year, as opposed to two at Columbia. Anyone familiar with the program at Boston U and if it would be better to tough it out for the extra year at Columbia for the benefit in the long run? Thanks!
  24. Touch Chicken

    UTHealth at Houston 2018

    Hi all, I am going to UTHealth for PhD in biostatistics this fall. Is anyone going for the admitted student day on April 6? Never been to Houston before, hopefully, it will be a fun trip.
  25. Does anyone know about biostatistic programs in Canada and how they are viewed in the academic/research field? Specifically McGill/uoft/waterloo. From what I have found McGill - some good professors (highly cited/good journals). Students are competitive in top PhD programs like Harvard/UNC/UW/JH . DLSPH- The school itself is at top public health school in the world. The statistics department at u of t is highly regarded as well. I do not know a lot about the biostatistics program, however, seems very applied. Waterloo - Heard this program is the best in terms of training (though not necessarily global reputation). People who work in the field have told me that Waterloo graduates are highly skilled.
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