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Found 135 results

  1. Undergrad Institution: Private liberal arts university in Texas Major(s): Biology GPA: 3.37 Type of Student: Domestic, URM, Female GRE General Test: Have not taken yet Programs Applying: Masters in Statistics or Biostatistics Research Experience: Led my own research study on vertebrate reproductive physiology, never published but data collected has been used on several published papers. Awards/Honors/Recognitions: 3 grants awarded from three different academic societies, presented at 11 conferences (2 awards), published in an undergraduate research journal (JSOURCE). Pertinent Activities or Jobs: Worked in a hospital pathology lab for 3 years after graduation because I thought I wanted to be a physician (hated it) and am now working in accounting and business. Do some light analysis using Power BI and excel for company. Letters of Recommendation: Going to ask my former Statistics prof who is also the dean of department, my former research adviser and one of the pathologists I worked with at hospital. Math/Statistics Grades: Calculus (B) Stats (B+). Plan on taking remaining pre-reqs. Have already signed up for Calc II and intro to programming. Any Miscellaneous Points that Might Help: Do a lot of volunteering. Am teaching my self to code leading up to applying. Concerns!- I am new to this field and want to know if I am a good candidate (since my GPA is not awesome) before I totally invest myself in taking all the remaining math prerequisites I need to apply. I have not idea where to find good applicant acceptance stats and have no idea what schools would be a good fit for me. Also, will taking the following courses be sufficient to apply (Calc II, Calc III, linear algebra and intro to programming)? I took a lot of chemistry and physics in college so I think I have a good math foundation. If I transition into working as a business analyst will this be helpful/ look good on application?
  2. I will be applying to master's programs (NOT PhD) this upcoming cycle, and I would like to study/research causal inference. I've noticed that this topic seems to be more commonly found in biostatistics departments than a "plain" statistics department. However, I'm not that interested in working with biomedical/genomic/cancer data. It's certainly not a deal breaker, but I do not want to silo myself to only those problems. So, is it still worth applying to biostatistics programs even though I'm more interested in the statistics/math than health/life sciences? Or should i stay away from them? Thanks!
  3. Hi! I was wondering if there was anyone who completed or is currently attending Northwestern in the MS Biostatistics program? I am leaning towards attending this school but also can't really find any information from students about the program. I hope to work in pharma after graduation or something similar to that - I was just worried since the classes seem to point more towards clinical research. thank you!
  4. Hello guys, I was fortunate to receive offers from Johns Hopkins PhD in Biostatistics and Columbia PhD in Statistics. May I have some sincere opinions on school choices? At this stage, I'm open to both industry and academia opportunities, maybe leaning towards academia. Regarding research interests, again I'm open. My slight concern is that biostatistics may be a bit narrow to land a job? I'm really not sure about this. Thank you very much!
  5. Hi everyone, I have applied to the following schools. 1) OSU (PhD Biostat) 2) MSU (Ph.D. Stat) 3) Kentucky (Ph.D. Stat) 4) Dallas (Ph.D. Stat) How many of you heard back from these schools about funding? Thank You.
  6. Hi everyone! I have been admitted to the Biostat MS program at Hopkins and Yale. My goal is to pursue a PhD in Biostat after MS and eventually go into industry. I don't have a strong math background (took calculus, linear algebra, numerical analysis, prob, stats, and a few applied stats courses in undergrad) so I hope to take a few math courses during MS. I'm leaning towards JHU for many reasons (tier1 in biostat of course), but Yale is such a prestigious school (despite its lower rank in biostat) that I'd like to hear your thoughts about its biostat program. These are the reasons why I currently think that JHU might suit me better: 1. Smaller incoming class (JHU < 10 MS, Yale 20~25 MS) 2. TA & RA required in 2nd yr if pass the 75% scholarship exam (which from what I've heard, isn't hard to pass) while Yale doesn't guarantee these opportunities 3. More flexibility in coursework I think I'm able to take two or three math courses as electives in the 1st yr if I attend JHU. With Yale it seems hard to squeeze in a few math courses due to its relatively stringent degree requirements. Also, I think I'd have more research opportunities and closer interaction with faculty at JHU. If I've missed out anything about Yale that's better than JHU, please share your thoughts! Thank you!
  7. I've been accepted to UTHealth for a PhD in biostatistics and UMD for PhD in mathematical statistics. Does anyone have any experience with or knowledge about these 2 programs that could push me one way or another? Thank you so much!
  8. 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
  9. Hi everyone, I have been recently admitted to some master programs in biostatistics: UW, Pittsburgh, Michigan, JHU, Minnesota, and Yale. I am not sure if I would love to go for a Ph.D. after graduation, or probably I would choose different programs, e.g. epidemiology. Currently, I am choosing from JHU and UW, both of which are prestigious and well-known in the field. The costs of attendance are similar since JHU provides some fellowships. Seattle seems a better place to live but would be more expensive than Baltimore, whereas Baltimore has some reputations for the crime. I would appreciate if you would provide some insights or share some experience of living in both cities. Thanks!
  10. Hello All ! I'm an international student who just finished a Master's degree in Biostatistics. I was admitted to the UNC Chapel Hill Biostats program and am waiting to hear about financial aiding. According to posts here from previous years, I have noticed that some students did not hear back about the funding even until late March. I was wondering if this is the case, and also if you know any previous students or accepted students who declined have been offered their funding at some point before accepting the offer. I am so glad and thankful to be admitted, but for a grad student, funding is such a crucial part, as I believe most of you already know and agree. I would love if any of you could share any information about this. Thanks!
  11. I just got an email from Johns Hopkins asking when I am available for a phone interview. Has anyone done this interview yet? What kinds of questions do they ask? What should I do to prepare? Interview's make me nervous so any input would be greatly appreciated.
  12. Hey guys! I saw lots of MPH forums but not one specific for epidemiology. As far as I know UofT is the only Ontario epi program that's an MPH rather than MSc, so I thought I'd make us our own discussion. I'm a fourth year Biomedical Science undergrad from University of Guelph, applying for epi programs next year. I included the schools & statuses below. My stats are a 2 year GPA of about ~3.71, experience in academic epidemiology (undergraduate thesis in population medicine), work experience in public health epi (position was health data analyst), and good reference letters (coordinator of Guelph's MPH program and a medical officer of health). However, I haven't been published yet and haven't presented at any major conferences, which I'm worried about. Toronto's MPH (epi stream) is my top choice, but judging from last year's forums I'm not expecting to hear until late april or early may, which sucks Any other epi applicants in here?? I'm getting antsy waiting to hear back. Good luck everyone! Toronto MPH Epidemiology: Under Review Western MSc Epidemiology and Biostatistics: had interview on Feb 29th, still waiting to hear back but I'm not optimistic (they wanted me to have OGS funding...) Ottawa MSc Epidemiology: Under Review Guelph MSc Epidemiology: my prof has agreed to work with me again
  13. 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!
  14. 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?
  15. 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
  16. 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)
  17. 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
  18. I'm an international student who graduated from the UK in 2016. I'm applying for PhD programs in Biostatistics/Statistics, starting Fall 2019. Please leave some comments on my profile, especially the range of schools to which I'm applying. BSc Degrees: Mathematics with specialization in Statistics from a top-10 university worldwide GPA: Top 10/~250 Master Degree: Finance from a top-10 university worldwide GPA: Top 10/~40 Type of student: Asian male Program desired: PhD in Statistics/Biostatistics Research Experience: coauthor of one published paper on an international journal in econometrics. I have also done 2 research projects (~ 3 months each) that were outsourced by private companies. Both were related to Statistics/Data Analysis. During undergraduate studies, I had 1 individual poster project, in which I made a poster on statistical classification using LaTeX and presented to faculty members, 1 group project on Support Vector Machine and Kernel Smoothing, which also involved writing a report and presented our work to professors, and 1 individual project on Pattern Recognition, which heavily involved R programming. Teaching: 2 semesters of TA in Probability & Statistics and Time Series. I will TA another 2 semesters this year LOR: 1 from my professor in the UK, who was my personal tutor. 1 from a professor, who is currently the director of the research institution I'm working at. Both should be strong. I can get the last letter from another professor, but whether it's strong or not is a question mark. Programming: Proficient in R, MATLAB. Competent in C++, Visual Basic. Proficient in LaTeX GRE: Verbal 162, Quantitative 170, Writing 5.0 GRE Subject Math: 820. Not sure if I should retake Coursework: most were A+, some were A and 1 B in Computational Maths. My first 2 years focused on developing a rigorous mathematical background while my final year consisted of graduate level courses, mainly in advanced Statistics. First year: Foundation of Analysis, Mathematical Methods I, Mathematical Methods II, Computational Maths, Mechanics, Probability and Statistics I, Geometry and Linear Algebra, Algebra I, Real Analysis Second year: Probability and Statistics II, Algebra II, Introduction to Numerical Analysis, Analysis I, Complex Analysis, Statistical Modelling, Differential Equations, Multivariate Calculus Third year: Statistical Pattern Recognition, Applied Statistics, Stochastic Simulation, Credit Scoring I, Scientific Computing in C++, Quantitative Finance, Survival Analysis, Games Risk & Decisions Research Interests: I'm interested in high-dimensional statistics and machine learning, with applications to chronic diseases and cancer research in particular Applying to: Biostatistics: Harvard UNC Wisconsin-Madison (biostatistics track) Minnesota - Twin Cities Rochester Statistics: CMU (joint statistics and machine learning) Yale Cornell North Carolina State Michigan - Ann Abor Ohio State Penn State Note: I'm currently working for a research institution, which is part of the national university in my country. I expect some more projects in this academic year, though I'm not sure if these result in publications. It's unlikely that these will come before the application deadlines anyways. The things that concern me most is the questionable 3rd LOR and the lack of published papers (only 1 for me). I've also heard that chances are much slimmer for international students.
  19. Hi, 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!!!
  20. 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.
  21. 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?
  22. 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!
  23. 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.
  24. 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?
  25. 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!!!
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