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Found 141 results

  1. I'm in my 4th year of undergrad right now. I decided to stay a 5th year to turn my math minor into a major and because I wasn't sure what I wanted to do after graduation. I've decided to go into biostatistics as my favorite parts of economics were my econometrics classes and my health economics class was super interesting. My math grades aren't stellar, but at the lower levels I have good grades. At the higher levels they started to slip. I tried to take graduate classes to compensate, but the result was mixed. Improved on my probability, but real analysis was tough (Used Rudin. Half the class failed, and I was the only UG in the class). The reason is because I lost focus. I was planning to do an Econ PhD, but as I neared graduation that seemed less appealing. I know I don't have a good shot at a good PhD program, so my plan is to get my MS in a good program if possible, do well, then apply for a PhD. Money is not an issue, as I'm graduating without student loans. Undergrad Institution: Ranked~70 State School Major(s): Mathematics, Economics Minor(s): Philosophy GPA: 3.7, Math: 3.4 Type of Student: Domestic Male GRE General Test: (Not Yet Taken) Q: V: W: Programs Applying: Biostatistics MS Research Experience: Thesis in Economics. Used Stata to do a panel regression using real world data. Nothing interesting, but gave me solid experience with data cleaning and regression. Computer Programming: R, Stata Awards/Honors/Recognitions: Cum Laude (expected) Letters of Recommendation: 1 Research Adviser 2 Math Professor who taught me Graduate Probability Theory 3 Econ Professor in Health Econ Math Classes: Calc III(A), Linear Algebra (A), Probability(C), Real Analysis (B), Mathematical Statistics (B+), Graduate Real Analysis (C), Graduate Probability (B+), Econometrics I, II (Both A) Schools: UNC UMich UPenn Columbia GWU Pitt Rutgers Drexel NCSU BU My end goal is to work in the private sector/government. I am interested in academic research, but I don't think I'll want to do it long term. Any and all suggestions for schools would be appreciated. I'd like to stay nearish to the east coast, but if there is a particularly good program I'd be willing to move further.
  2. does anyone familiar with PSU's biostatistics PHD program in the medical school? There are few information I can get from the internet, and they haven't have any PhD graduate, so dose anyone knows the pros or cons of this program? Thank you very much!!
  3. Don't worry, I'm not trying to apply under the wire for fall 2017. I'm looking to enter a program in fall 2018. Undergrad Institution: Large state school - graduating this semester Major: Marine Biology Minor: Mathematics GPA: 4.0 Type of Student: White male Courses/ Background: I went to high school at an early college program that allowed me to simultaneously finish with an Associate in Arts from a community college (4.0). I don't know if that really does anything to help me look more competitive at a graduate school level (or less because community college credits). I don't know any people from my early college program who would have any good advice on this yet because it was new when I entered it and no one has gone graduate school yet. Everything I list here was done in three years at university. Calculus 1-3, intro to statistics, intro to probability, introductory linear algebra, differential equations I have a couple of other courses that I didn't need for my major but I just dabbled in: organic chemistry II, biochemistry I (chem department), the engineering general physics sequence. I don't know if these would help my application at all given that they are typically regarded as challenging. GRE: Haven't taken yet Research: Undergraduate thesis in biology with a first author publication - involved some ANOVA. Not a top tier journal by any means, but it's international. Internship with NOAA - data sciency (used R heavily) Did part time research every semester of undergrad in someone's biology lab (and over the summer). I moved around a bit because I wanted a diverse experience. I don't have any REUs because I opted to take summer classes and do part time research on my campus. I'm not sure if my lack of REU is harmful because I see a lot of people have them when they apply to grad school. Letters of Recommendation: Biology professor I did my publication with Another biology professor (a really quantitative one) Internship advisor Why I want to enter a program in statistics instead of a more quantitative biology program: I want to be a more of a statistician interested in biology rather than a biologist interested in statistics if you catch my drift. I'm interested to delve deeper into theory, and just get a broader education in statistics in general than I would get in a quantitative biology program. I think in doing so I would leave more jobs open to myself in the future. I could see myself being a statistical consultant, a wildlife biometrician for the government, or possibly a professor if I had minimal teaching responsibilities. Programs I'm Considering: Stanford UC - Berkeley University of Washington Harvard I will add another one or two lower ranked schools later on that I am more sure I will get into, but those are my top choices. I think a statistics degree would be more versatile than a biostatistics one because I would have a better chance at making a transition to another field if I ever felt so inclined. My other problem with entering a biostatistics program is that most seem to be geared towards people looking for employment in medical field research, whereas I'm more interested in marine science. However, Berkeley and University of Washington seem to be more appropriate for me in this respect. Specific Questions: I seem to meet the minimum math requirements of top programs, but I understand many applicants come from pure math backgrounds. Do you think my background and research experience would help boost my application into being a very competitive one? How bad does it look for my application to those programs that I haven't done an analysis class? Do you think I should bother to apply to a top phd program? Any recommendations for what I could do in a gap year? I will likely end up doing something in marine science (because that's what I'm most qualified for), which could very well involve some statistics. I am open to doing a job in just statistics if I could, but I'm not sure my current skill set would give me much hope to compete with statistics undergrads in the job market. Is anyone from an early college? Are there any anecdotes of early college people in top graduate programs you know of, and did that experience made them more competitive, less competitive, or make absolutely no difference? Thank you for your help!
  4. Hi everyone, I would really appreciate an honest review of my application. I graduated as Class of 2016 as a math major and came back to my home country to take a gap year (for personal, family reasons). I am applying for only PhD programs this year (cannot afford MS) and would greatly appreciate a review of my application and even some suggestions about my current list of schools I am applying to. Undergrad Institution: Mount Holyoke College Major(s): Mathematics, Economics Minor(s): n/a GPA: 3.83, Major GPA: 3.9 Type of Student: International female GRE General Test: (did not have much time to study and will take on 11/20, but I am expecting around V:165, Q:165+, W:4) Q: V: W: Programs Applying: Biostatistics PhD Research Experience: independent research project with faculty (course credits) the whole senior year in statistical genetics (longitudinal, mixed modeling of biomarkers after injection of LPS, testing for significant snps using anova and score test statistic) \ Computer Programming: R Awards/Honors/Recognitions: Magna Cum Laude Letters of Recommendation: 1 math professor (Real analysis) 2 statistics professors (one of which was my ind. research project supervisor) Any Miscellaneous Points that Might Help: Took Real analysis (A), Linear Algebra (A), all 3 calculus classes (A), discrete mathematics (A-), complex algebra (A), abstract algebra (a-), ode (a-), stochastic processes (a-), probability (a), regression (a), mathematical stats (a) Also, the reason i do not have research experiences for the summer following my soph and jr year and why I came back to korea to take a gap year after graduation has to do with health problems of a family member... I really hope this does not put me at a great disadvantage. Should I talk about this somewhere in my application? The list of schools is not final. I know that there are a lot of really competitive and smart ppl out there and my application is not a WOW material so I really need less reach schools and more safeties... Please please help me! Thank you!! Schools: Reach: JHU (reach) UNC (reach) Umich (reach) Columbia (reach) Uwash (reach) UCBerkeley(reach) Emory UCBerkeley Uminnesota UCLA UCDavis BU Upittsburg Yale Utexas UIUC
  5. I am a Biology major / Statistics minor applying to programs in Statistics and Biostatistics. I received (flat) C's in both Cell Biology and Genetics (and the rest of the Bio grades were not all A's lol)...so I've been concerned lately about how admissions committees will view these. I've heard people say you're wasting your time to apply if you have C's in the undergrad courses directly related to your prospective graduate study. I guess what I'm wondering is... Is Biology considered DIRECTLY related to Biostat in this way? From my perspective, I consider these as somewhat irrelevant to my future interests. I've spoken with many graduate students in Biostatistics who told me their experiences have had far stronger focus on Statistics than on Biology course material (and the most Bio they took was Epidemiology). In my statement I emphasize that my specific interests are in clinical and pharmaceutical applications of statistics. I know maybe I'm just being silly... But I can't help but wonder constantly how admission committees will look upon my less-than-stellar Bio grades. Sorry for rambling, but thank you for reading this I know it's not fair to ask for judgments on my strength as an applicant on the whole with only this tiny bit of information, so I'm not asking for that--just about the strength of connection adcoms draw between bio and biostat in general >< I can tell that the C's certainly aren't helping my application, but how much do you suppose they'll hurt? Any brief input / insight at all would really be greatly appreciated!!!!
  6. I have taken a Data Analysis class during a Masters program in Epidemiology which required HL as prescribed text. I am currently enrolled in a doctoral program in Biostatistics and required to take some masters level biostatistics classes. Currently, I am contemplating taking Categorical Data Analysis (Agresti). I am having second thoughts about this since it looks quite similar to my Epi. Data Analysis Class. I would want to rather step into something new e.g. Advance Clinical Trial or Bayesian Statistics. Below is my biostatistics courses profile: Biostatistics I( Rosner), Biostatistics II( Kutner), Data Analysis (Hosmer and L), Survival Analysis (Klein and Moeshberger), Probability (Casella and Burger; Chapter 1:5). Anticipated: Mathematical Statistics ( Casella and Berger; Chapter 5:?), Categorical/Bayesian/Advance Clinical Trial
  7. Hello, I am an international student from the subcontinent and I am planning to apply this year to PhD programs in Statistics/Biostatistics. Since it is quite expensive to apply from here, I am bewildering which universities I should apply in order to get admitted with funding. Since I have already made late, I have shortlisted the universities where I can still apply. It'll be immensely helpful and kind of you if you could suggest me which of the programs listed below can actually consider my application for admission based on my profile. I am not unwilling to take risks as it will cost me nothing but some money to take some risks. But I just don't want to be insanely ambitious. I list my profile very briefly here: Education: B.Sc. and M.S. in Applied Statistics (3rd in Honors with CGPA: 3.85 and 1st in Masters with CGPA 3.93). With WES evaluation both CGPAs rise to 4. I have got Dean's award in recognition of academic excellence. GRE: 313 (Q: 161, V: 152, AW: 4). I really believe I should have prepared myself well before attending GRE. TOEFL: 107 (R: 28, L: 28, S: 26, W: 25) Job experience: I have worked at James P Grant School of Public Health for 3 months as a Statistician, at the central bank for 8 months as the Assistant Director and have been teaching Applied Statistics at the best university of my country for 3 years as a Lecturer. Apart from that I have also worked as the RA of an Australian academician. Publications: I have one article published on maternal and child health in BMC Pediatrics and another on clinical trial design in Journal of Biopharmaceutical Statistics. LOR: I hope the letters of recommendation will be good from my professors. Additional information: I was a contributor to the official population projection of the country in 2016 and wrote part of the report and did most of the analysis. The universities which have deadlines that I can catch (sorry for posting the complete listing!): Biostatistics PhD programs: Johns Hopkins, University of North Carolina, University of Pittsburgh, University at Buffalo, Virginia Commonwealth University, The University of Cincinnati, Yale University (School of Public Health), George Washington University, University of Illinois at Chicago, University of Alabama- Birmingham, Cornell University, Pennsylvania State University, University of California—Davis, University of Florida, Florida State University, University of Rochester Medical, Center Rochester, NY, University of Goergia, University of Massachusetts Statistics PhD programs: Johns Hopkins University, University of Chicago, University of Michigan—Ann Arbor, North Carolina State University, Texas A&M University—College Station, Iowa State University, Columbia University, Pennsylvania State University, University of Minnesota—Twin Cities, Perdue University, Cornell University, Ohio State University, University of California—Davis, University of Florida, University of Iowa, Yale University, Florida State University, Rice University, Rutgers, The State University of New Jersey—New Brunswick, Michigan State University, Colorado State University, University of Connecticut, University of Pittsburgh, Northwestern University, George Washington University, University of Georgia, Virginia Tech, University of California-Santa Barbara, Arizona State University, University of South Carolina, University of Virginia, University of California-Riverside, Kansas State University, University of Missouri, University of Kentuky, University of Massachusetts, San Diego State University I am mainly interested in Biostatistics programs. However, if I can get into a fairly good Statistics program, that will also be great! Could you suggest me, as an international student, which universities I should really look forward to, given my profile? Thanks in advance for your kind response.
  8. Undergrad Institution: Large State University Major: Mathematics Minor: None GPA: 3.4 Overall; 3.6 major Undergrad Institution: Large State University Major: MPH in Biostatistics GPA: 3.97 Type of Student: Domestic female Courses/ Background: Undergrad: Calc 1-3, Differential equations, linear algebra, advanced calculus, proof writing, complex variables and applications, abstract algebra 1 and 2, real analysis 1, probability theory, methods of optimization, number theory, programming course (python) Grad: statistical programming, probability/statistical Inference, generalized linear models/categorical variables, survival analysis, linear mixed models, externship, thesis, and some public health/epi related courses. Grades: all As except for one public health seminar course (A-) Currently ongoing: real analysis 2, stochastic processes The dip in my undergrad GPA mostly comes from one really bad year in undergrad. My lowest grade was a C in abstract algebra 1, but then I got an A in abstract algebra 2. My grades in the rest of my undergrad math courses are A/A- and a few B+s. My classes now are going well so far, and even though it’s a bit early to tell I think I can manage As in both (fingers crossed!). GRE scores: 160 Q; 160 V; 4.5 W (Didn't study the first time; planning to retake next month. Based on practice exams, I think I’ll do much better) Programming Languages: R, SAS, SPSS, Python, C++, MATLAB, Open/WinBUGS, STAN Research Experience: Research assistant working with survey data for an epidemiological research group, 2 analysis projects, 2 data management. No publications. Externship for MPH: 3 stats projects. 2 basic analysis projects, 1 project working with trajectory data (submitted for publication). Thesis for MPH: Working on manuscript, first author. Might not be submitted by the time I submit applications. It was an application of joint mixed modeling and latent class models. Current: Have been working as a biostatistician for a research group for one year. Work consists of: genomics, functional data analysis, wavelets, Bayesian analyses, mixed models, joint modeling of longitudinal outcomes, and analysis of neuroimaging data. No publications yet, but there are a few manuscripts in the works. Other Relevant Experience: Teaching Calculus for four years (2 years TAing during undergrad, 2 teaching university classes after graduating undergrad). Math tutor (from arithmetic through graduate level courses) for 6 years. Covering some lectures for a graduate stats course. Honors/Awards: Some scholarships in both undergrad and grad, teaching award from undergrad, a couple of small departmental math awards from undergrad (nothing exciting, just little competitions in our department) Letters of Recommendation: Current boss (biostatistician – also my thesis advisor) Another stats professor (biostatistician) Externship supervisor (biostatistician) Chair of department All know me very well and have either taught me or worked with me for a while. On list to apply to: University of Michigan University of Minnesota Emory Purdue Colombia (either PhD or DrPH in biostatistics) UCLA (either PhD or DrPH in biostatistics) UNC Chapel Hill University of Washington Brown Johns Hopkins University of Illinois Chicago I know I’m reaching with some of the schools (especially considering my undergrad GPA). I would appreciate suggestions for any schools to add/remove from the list based on my profile. I am not set on applying to all of these schools, I want to narrow the list and make it more realistic before I submit my applications. One more question: I’m working as a biostatistician right now. If I don’t get in to a school I’m happy with or don’t get enough funding, what should I do in the upcoming year to increase my chances for the next time around? Hopefully I would have some publications by then, but I’m usually not the stopgap in the process of getting the manuscripts finished, so there is not much I can do to speed up that process. I'm open to taking more courses if you have suggestions. Thank you so much!
  9. Hi everyone, I am from engineering background (Civil), and I am planning to apply for the master’s program in biostatistics. I was working in a consultancy firm for the past 2 years. I had studied math in my first three semesters as Engineering math-I, II and III. I am also waiting for the evaluation of my grades from WES. Considering the nature of my application, do I have any chance of getting in or am I wasting my time trying? If anybody could suggest me some colleges then it would be a great help. Thank you so much for your help in advance. Type of Student: International Asian Male Courses/Background Engineering math I Differential calculus-I, Differential calculus-II, Matrix algebra, Multiple integrals, Vector calculus. Engineering math II Ordinary differential equations, series solution and special functions, laplace transform, Fouries series and partial differential equation, application of partial differential equations. Engineering math III Functions of complex variable-I , Numerical Techniques – I &II Statistical Techniques I -Moments, Moment generating functions, Skewness, Kurtosis, Curve fitting, Method of least squares, Fitting of straight lines, Polynomials, Exponential curves etc., Correlation, Linear, non –linear and multiple regression analysis, Probability theory Statistical Techniques II- Binomial, Poisson and Normal distributions, Sampling theory (small and large), Tests of significations: Chi-square test, t-test, Analysis of variance (one way) , Application to engineering, medicine.Time series and forecasting (moving and semi-averages), Statistical quality control methods, Control charts. Language I had also done a lab in statistical and numerical techniques in C language in my second year. I have taken online classes in R and Python(Coursera,edX), but I don’t know whether they hold some value or not. GRE scores: 164Q; 155 V; 4.5 W
  10. Hi everyone, So I was wondering how competitive is a masters program in Biostatistics and Statistics at the top schools? I.E. I would love to get into the Statistics ms program at U.Chicago because I am really interested in the statistical genetic research being done there. I would in reality love to go to a Ph.D program but I do not believe I have a strong theoretical background in mathematics that top Ph.D programs look for (I come from a applied stats department where my only theoretical courses were Linear Algebra, Probability Theory, and Math Stats), and I have a weak overall gpa(3.4) due to badish grades in non-related courses(chemistry 2, orgo 2, and biochem). I do have a strong research background where my work for a class has been presented at a conference, I have personally presented twice at my schools research symposium, at the end of this semester I will have published 2 papers involving statistical applications on genetic sequencing data from my lab, and at the end of the spring my researches Ph.D student in Genetics will be publishing his thesis, and I will be mentioned(potentially coauthor if it is allowed). I have 3 strong letters, it is just my grades that is a downside of my application. My gre is a little late as it is on Sunday (I couldn't have taken it earlier due to scheduling problems), but my practice gre scores from Kaplan, and powerprep are good. My quant and writing are above 165 and 5 respectively, it is just my verbal that ranges from 159 to 165. Is U.Chicago masters a realistic school to apply for or should I consider weaker schools? Also since my ultimate goal is a Ph.D in biostats from a top 10 Biostatistics program would a lesser name school be bad for a masters? Thanks, ScS
  11. Would anyone be willing to critique my SOP? I am applying to Biostatistics Ph.D. programs. I don't feel comfortable posting it here directly, but I will PM you!!! Any feedback would be much greatly appreciated!!Thanks in advance!! 0
  12. I am in the process of applying to Masters in Biostatistics programs and would like some application advice/profile evaluation: Undergrad Institution: Large state school (top 15 public university) Major: Biology GPA: 3.61 Type of student: Domestic female GRE: First attempt: Q: 159, V: 158, W: 5 Second attempt: Q: 158, V: 163 W: N/A Relevant Courses: Calculus 1 (A), Calculus 2 (A), Statistics 1(A), Statistics 2 (A), Biology 2 (A), Genetics (B+) On-going: Calculus 3, Intro to Biostatistics (SAS), R Planned for Spring 2017: Linear Algebra Letters of recommendation: - Calculus 3 professor (Math Dept) - strong - Intro to Biostatistics professor (Biostats Dept) - strong - Sociology PhD student with whom I have done research for about a year and ongoing - strong Concerns: (1) My GRE quant score is lower than I would like it to be. I may try to take it again, but I won't be able to take it until mid- to late- November which many applications closing on December 1. (2) Additionally, Calculus 3 and Linear Algebra are pre-requistites for all of the programs. Those courses will be in progress at the time of my application. The adcoms will have my Calculus 3 grade (looking to be an A) but not my Linear Algebra grade. I have communicated with every school to which I am applying and they are fine with this. (3) Finally, I will be taking Computational Linear Algebra because my university strictly restricts more proof-based Linear Algebra to Math majors. I am concerned that adcoms will not like this because the course I will be taking is not as proof-based. Schools: University of Michigan University of North Carolina University of Minnesota Emory University University of California, Berkeley University of California, Los Angeles University of Florida Thanks in advance for your help!
  13. Undergrad Institution: University of Nevada, Reno Major: Molecular Microbiology & Immunology Minor: Mathematics and Chemistry GPA: 3.9+ (overall) Type of Student: White Male, First Generation College Student Courses/ Background: Quantitative Courses: Multivariable Calc (A), Linear Algebra (A), Probability (A-), Mathematical Modeling (A), Stochastic Processes (A) I'm proficient in R, Mathematica, and competent in Python. Weaknesses: No proof based classes GRE: 165 Q, 162 V, 4.0 A Research Experience: 3 years in a diagnostics Lab, 1 REU in Statistics Awards/Honors/Recognitions: Dean's List, McNair Scholar, Honors Student Pertinent Activities or Jobs: Research assistant Letters of Recommendation: -Department Chair in Mathematics -Department Chair in Microbiology -Math Professor I've taken many classes with and attended office hours regularly. Thinking of applying to: Biostatistics PhD: Berkeley, University of Michigan, University of North Carolina Chapel Hill, University of Pennsylvania, Emory University Do I honestly have a chance with these programs? I have a really strong basis in molecular biology techniques but I’m starting to lean toward more quantitative approaches. It seems rare for non-math majors to make the switch and be successful.
  14. Hello, I'm currently graduate student for master's degree from South Korea. I am curious about my GRE score. I'll apply PhD program in Biostatistics at different universitis in the U.S. Although my test score may be weak, i believe that there are some universitis that i can apply at least... My current GRE general score is as follow. V : 144, Q : 170, W : 4.0 Could you evaluate my test score with an advice?
  15. Hi everyone, I'd sincerely appreciate an honest profile review. I recently took the GRE, and unfortunately I haven't had much time to study, so my results were way less than stellar. Also, my GPA seems to be mediocre. I do have decent research experience and grades in upper-division and graduate courses. Taking all of this into account, I'm unsure of the strength of my profile. I come from a theory-heavy background, and I've only recently discovered all of the neat applications within biostatistics, so this is now the route I want to pursue. I've tried to include schools in the 4-15 range for biostatistics, but I'm unsure if this is too ambitious. Applications are expensive, so I don't want to waste a ton of money. Any advice would be extremely appreciated. Undergrad Institution: Ohio State University Major(s): Computer Science Minor(s): Mathematics GPA: 3.5 (upper-division and graduate work is 3.75+) Type of Student: Domestic white male GRE General Test: Q: 159 V: 157 W: Programs Applying: Biostatistics PhD Research Experience: REU at Duke on Topological Data Analysis; 9 months working full-time with a private research and development company on data fusion stuff; reading group on algebraic topology Awards/Honors/Recognitions: Graduating Cum Laude, University Honors program Letters of Recommendation: 2 pretty known professors within the Topological Data Analysis community, one from Ohio State and the other from Duke. My other letter writer was my boss when I worked for the private research and development company. They should all be decent. Any Miscellaneous Points that Might Help: I've taken graduate courses on Complexity Theory, Advanced Linear Algebra, Topological Data Analysis, Differential Geometry, and Algebraic Topology. All of these were either A's or A-'s. I've also taken the standard undergraduate analysis sequence and abstract algebra. I got A's or A-'s in them. Schools: - UCLA - Columbia - Berkeley (MS biostat) - Michigan (MS biostat) - Penn - UNC - Boston University - Duke - Ohio State - Rice (PhD Statistics) - Brown
  16. Undergrad Institution: Large state school (not well known for math) Major: Math (applied and statistics focus) Minor: Economics GPA: 3.9+ (overall), 4.0(Math) Type of Student: Domestic White Male Courses/ Background: Quantitative Courses: Multivariable Calc (A), Linear Algebra (A), Differential Equations (A), Probability (A), Mathematical Statistics (A), Analysis I (A), Analysis II (A), Intro Number Theory(A), Numerical Analysis(A), PDE(A), Mathematical Modeling(A), Intro to Linear Models (A), Programming 1(A), Programming2(A), Econometrics(A) I'm proficient in R, and competent in C++. GRE: Taking soon, based on practice tests I would guess 165+ Q Research Experience: 1 REU, and a research project with one of my professors Awards/Honors/Recognitions: Dean's List, on pace for Magna Cum Laude Pertinent Activities or Jobs: Research assistant, Grader, Tutor Letters of Recommendation: -Department Chair -Math professor I took independent study with/ research -Professor I've taken many classes with and attended office hours regularly. Thinking of applying to: Masters: Stats: Stanford, Chicago Biostats: Washington, Harvard, Berkeley PhD: Stats: NC state, UC santa barbara Biostats: Columbia, UCLA Is my list too top heavy? My goal is to get into medical research via statistics
  17. Thanks in advance. I am a senior in college and intend to apply to graduate programs in biostatistics, I am applying both MS and PhDs, however I am more interested in entering PhD programs Undergrad Institution: Liberal Arts College (top 20) Major: Double in Biochemistry & Mathematics GPA: 3.56 overall, around 3.7 in Mathematics and 3.5 in Biochemistry Honor & Awards: Summer Research Grant (I do competitive debate and is pretty successful) Type of student: International male GRE: Q: 165, V: 160, W: 5 TOEFL: not applicable Courses: Undergrad: Mathematical Probability, Abstract Algebra, Graph Algorithms, Computability Theory, Calculus 1-3, Linear Algebra, Mathematical Models in Biology, Organic Chemistry I/II, Biological Chemistry I/II, Statistical Thermodynamics, Medicinal Chemistry, Molecular Biology, Advanced Genetics, Descriptive Inorganic Chemistry, Advanced Inorganic Chemistry Programming: R, elementary proficiency in Python On-Going: Real Analysis, Senior Thesis, Biostatistics Plan to take: Differential Equations, Chaotic Dynamical Systems (grad level), Mathematical Statistics, finishing up a year long thesis (Research) Experience: -Undergraduate research assistant at a developmental toxicology lab in the department of biology. Analyzed RNA-Seq data using mainly R to infer the role of a transcription factor during zebrafish development. Data is time series. - I participated in a poster presentation however it is only for homecoming weekend at my institution -Research Assistant at a clinical study of "storytelling" as an intervention method to reduce lag time in patients entering hospitals for hypertension - I also took part in drafting the manuscript and will be a co-author (The paper is under review) Letters of recommendation: - P.I. in undergraduate research - Rhetoric Professor - Director of Debate - works with me a lot and knows me for my work ethic and commitment - Math professor who worked with me throughout my mathematical career. Concerns: I have an abysmal GPA due to not doing too hot on the intermediate bio courses and also since I come from a liberal arts institution, I take some courses outside my discipline that really takes a toll on my GPA (not boosting it at all). I also do not have to many research experience, mostly I did 3 different things for 3 summers. However, my undergraduate thesis/research project is really shaping up and I realized I do want to pursue biostatistics/informatics in the future. I am very interested in analyzing high-throughput sequencing data and apply statistical methods to integrative genomics. List: Harvard (reach) University of Michigan (reach) Southern Methodist Tulane Dartmouth (their new QBS program) North Carolina State (Bioinformatics) University of Iowa University of Pittsburgh Boston University Rutgers UMass Amherst Emory I know my reach schools, but unfortunately cannot identify where I land on the rest. Thanks for all the help!!
  18. Hello, My background is somewhat different since I'm looking to change fields from chemical engineering (BS and MS) to Biostatistics. I've recently worked in the pharma industry in process development and optimization using tools like DOEs. I want to look to a PhD with relevance to clinical trial design. I've taken math coursework such as calculus, linear algebra, differential equations, statistics, PDE and have some programming experience in Matlab and Python. I've been pursuing some online classes in R and data science. Is it feasible to make the switch into biostatistics? Are there any programs that may be more open to students incoming with different backgrounds?
  19. Thanks in advance. I am a senior and not confident in myself. I am interested in cancer research and genomics. Undergrad Institution: Ohio State Major: Mathematics Minor: Statistics, Computer Information System GPA: 3.97 Overall, only a B+ in probability Honor & Awards: summer research scholarship($3500), dean's list each year Type of student: international male GRE: Q 167 V158 AW3.5 TOEFL: waived Courses: Undergrad: Analysis 1(Bartle), calculus 1-3, linear algebra, probability, mathematical statistics, ODE, PDE, dynamical system, scientific computation, regression, SAS programming, time series, stochastic process, C++, Data structure, discrete structure Programming: R, MATLAB,CPLEX, C++,Python, SAS On-Going: Real Analysis 1(grad level, baby rudin), Linear Mathematics(grad level), Multivariate Statistics(grad level), Linear Optimization(grad level),abstract algebra 1 Plan to take: Real Analysis 2, Abstract algebra 2, one pending (Research) Experience: -Undergraduate research assistant at a computational clinical lab in the department of psychology. Use machine learning methods to predict and identify psychiatric disorders and its risk factors. -A funded project about using machine learning predicting alcohol use problems Letters of recommendation: - lab professor(assistant) - math professor with whom I did a small project(assistant) - biostatistics professor(assistant) or industrial engineering professor (associate) Worries: I am not confident because I think I should take more math courses (I just started math major in sophomore). And this semester I am taking some important courses but the grades will not be available before deadline of some programs. I wonder if it will influence my admission if there's no grades for on-going courses. List: By the way, Is there any "safe" school for me depending on my profile? Thanks! Emory U Pittsburgh Utexas Health Center Brown OSU Florida UC Davis Rutgers South Methodist Boston University RICE At last, I don't care a lot about funding, I mean I can afford 1 to 2 years' study. If there's a good program gives me admission without funding, I will still accept it. I just really want to pursue a phd degree.
  20. Hello, I am a Statistics Master's student and planing on applying to a Bio-/Statistics PhD program starting Fall 2017. I've been browsing through this forum for months, trying to figure out my chances of actually getting into a program. I feel like my profile is good, but being an international student makes it kind of hard for me to predict my chances. I know that international competition is hard, funding is limited and I'll have a better shot at private institutions. I am not execting to get into a top 15 program, but what do you think are my chances in the 15-25ish ranks? Will I have a better shot in biostatistics or statistics programs? I very much appreciate any advice you might have. Undergrad Institution: Large European university (best statistics program in country) Major: Statistics Minor: Theoretical medicine GPA: 3.64 Overall; 3.57 major Grad Institution: Large European university (best statistics program in country) Major: Statistics with a concentration in Biometrics Minor: Theoretical medicine GPA: 3.88 Overall; 3.85 major Type of student: International white female GRE: Didn't take it yet, but expecting Q 160+ from practice tests TOEFL: 109 Courses: Undergrad: Real Analysis I (B*), Real Analysis II (C*), Linear Algebra I+ II (B*), Linear Models (A), Estimation and Testing Theory (A), Fundamental Calculus of Probability (B), Stochastic Models and Simulations (A), Statistical Methods (B), Descriptive Statistics (A), Survey Techniques (A), Fundamental Design of Experiments (A), Statistics in Genetics (Epidemiology) (A), Case Studies (A) Grad: Probability Theory (B), Decision Theory (A), Stochastic Processes (A), Classification Methods (A), Post-genomic Analysis (A), Advanced Design of Experiemts (A), Intro to Bioinformatics (C), Seminar Changepoint Analysis (A), Case Studies (A) Programming: R, Python, SPSS, SAS On-Going: Clinical Trials, Theory of Sampling Techniques *: Yes, these are bad. They were actually pass/fail in freshman year with a failure rate of up to 80% so I was just glad I passed... (Research) Experience: - Master Thesis: Currently working on it in cooperation with a Top 3 pharmaceutical company. Presented at a national (not US) conference. 2 publications planed, but won't be submitted before application. - 1 semester of graduate research at a US university (study abroad); genomics related topic - 2 years of working for a biometrics/epidemiology academic research institute: working and analysing survey data, exploratory data cleaning, SAS programming, many small tasks in different research projects - 6 weeks internship at a biometrics and clinical research academic institution - Bachelor's thesis: survival time analysis on a big breast cancer data set - Teaching: 2 semesters analysis I+II tutor, summer math prep class Letters of recommendation: - Biostatistics prof: thesis adviser - Biostatistics prof from US university: grad research - Current boss: director in Top 3 Pharma company; supervisor of my master's thesis
  21. Undergrad Institution: Large State University (Only school in state with stat dept.) Major: Statistics Minor: Genetics GPA: 3.84 Overall; 3.95 major Type of Student: Domestic Asian female Courses/ Background: Calc I (A), Calc II (A-), Calc III (B), Statistical Methods (A), Stat Experimental Design (A), Linear Regression [Honors] (A), Stat Programming (A), Applied Linear Regression [Honors] (A), Mathematical Stats I (A), Mathematical Stats II (A-) In progress: Statistical capstone series (2 semesters) - we are assigned a project from the university consulting department. Planning to take: Intro to proofs and time series analysis GRE scores: 153 Q; 148 V; 3.5 W (Didn't study the first time; planning to retake next month) Research Experience: 1 REU working with wavelets and functional regression with genetic data (currently working on a manuscript); 2 projects at home institution - 1 will be my honors thesis. Both projects are related to genetics. Other related experience: Will present at two research conferences next month and one next spring; completed honors projects for linear algebra class (covered usage of PCA in genetics) and linear regression class. Honors/Awards: University honors program, honors program research assistantship. Letters of Recommendation: -Research PI from REU -Research PI from thesis project -MathStat I professor; I spent a lot of time in his office, so he knows my work ethic. On list to apply to: UW, Rice, Vanderbilt, Emory, UC San Diego, Pittsburgh, Ohio State, UGA, NC State Thinking of adding: UConn, UNC Chapel Hill, UC Berkeley What are your thoughts? Are there any that I should take off or add? I'm into application more than theory, but I want a strong theoretical background. My main interest is in genetics, though I'm also interested in the fields of microbiome and immunology. I'm leaning heavily towards a career in industry, but academia is still an option.
  22. Undergrad Institution: Large state school (Great stat and math program) Major: BS Statistics BA Mathematics Minor: Business Administration, Information Systems, Actuarial Science GPA: 3.5 Overall (Lower Math GPA, with explanation) Type of Student: White Male Courses/ Background: I changed majors multiple times in college. Finally settled on a double major in mathematics and statistics in the pursuit of a PhD. I took all the math classes I could in 2 years. My GPA is low because I took all these courses on an advanced schedule. I finished the mathematics major in under 2 years, and my grades suffered. I was combating a disease which should have kept me out of school. I plan on explaining this in my strong personal statement. I received 4 C's among A's in my math classes due to this. GRE: 163Q 157V, taking again in October. I took it blind the first time. I plan on taking the GRE Math Subject test and plan on doing well which should balance out my C's. Research Experience: 2 research projects in school with professors where I am listed in the acknowledgements. Chi squared tests and exploratory data cleaning, respectively. Summer Institute for Biostatistics at Emory (department loves me). I have spent the last 3 years at a large research institution where I am second author on one paper, first author on a soon to be published paper, and more (2+, most likely second author) in the coming year. My research experience involves big data. I am extremely proficient in R; I would call myself a top coder. Pertinent Activities or Jobs: Made a Shiny App for a very successful startup influencing exponential growth. This was a fun project and looked well upon by a Google data scientist. Letters of Recommendation: -Research PI at research institution -Research supervisor at same research institution -Professor who helped me discover biostatistics. I have kept in close contact with her and visited her office regularly. All strong letters. Thinking of applying to: PhD: Stats: Stanford, Penn Biostats: Harvard, Hopkins, UCLA, Penn, Emory, UNC, Michigan, UW I have connections to Hopkins, although Baltimore is a question. I have visited all these schools, and each department has loved me. I plan on making up for my poor grades with excellent research experience (could not be better), letters, and GRE scores. Ideally, I would get into Harvard's PhD program (who doesn't say that?). I say I would only do a PhD due to funding. I would accept a Harvard Master's position with the hope of receiving a PhD. My best attribute is my personality. If you see me in person, you will understand I am a statistician. If I get an interview at places, I have no doubt I will be accepted. What do ya'll think?
  23. Hi, I'll be applying to Biostatistics programs this fall. I'm finishing my last year of undergrad and my long term goal is to do a PhD in Biostatistics. However, I have no idea what research topic I would like to go into for what would be my dissertation. My research projects so far have been fairly narrow and only on one topic in Biostatistics. Do you recommend that I do a masters first to get an overview of the field and a clear idea of what topic I would like to pursue? It also seems that a large part of the interviews for PhD programs are based on potential research topics, which I would be blank on. Any thoughts?
  24. I have an Honours BA in economics, a BSc in math (the kind math teachers normally get) and am finishing up an MA in economics. All at Canadian schools, and my MA at a top 3 Canadian program. Do Canadian, or other, biostatistics PhD programs look at people without statistics degrees? Would I be considered adequately prepared? I've taken Calc I-IV, three linear algebra courses, real analysis, up to third year theoretical stats, and a few others. Plus graduate training in econometrics. Undergrad and graduate GPAs are close to a 4.0, no course grade lower than A- in undergrad and none lower than A in grad school. My quantitative GRE score is 170. Anyone have experience going from econ to biostats or know of anyone who has? Is this a thing? Thanks in advance for any help!
  25. Hi all, I am a graduating undergraduate senior deciding between master's programs in biostatistics at UNC, Johns Hopkins, and Harvard. I was wondering if anybody had any insight into these programs, because I am having a tough time deciding. My main concerns are difficulty of coursework, "friendliness" of faculty, opportunities open to master's students like research assistantships (since some schools can don't pay much attention to them), opportunities after graduation with a degree from either one, and obviously location. UNC is beautiful, but is living in Baltimore around the School of Public Health as dangerous as everyone says? I really appreciate any help on the topic. Thanks in advance!
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