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Found 90 results

  1. MS Biostat Evaluation

    Undergrad Institution: Large state School Majors: Mathematics, Economics GPA: 3.55 (Math: 3.3, Economics: 3.85) GRE: 162 Q, 157 V Type of Student: White male Research Experience: one semester MCMC statistical analysis with risk management professor (who holds a Phd in Economics from Stony Brook and Phd in Risk Mgmt from U Penn) Awards: Dean's List (three semesters), Hollingsworth Award (best in class for linear algebra) Jobs and Activities: Volunteer experience (IMPACT), Math tutor (1.5 years) Coursework: Math: Precalculus (D,A), Calc I (A), Calc II (C+), Calc III (A), Differential Eqs. (A), Proofs (B+), Linear Algebra (highest grade), Intro to Real Analysis (A-), Probability (A-) Stat: Intro to Stat (B+), Stat Methods (A), Econometrics (A), Time Series Econometrics (A-) Biostat: Taking med level biostat next semester Recommendations: Prof mentioned above (Strong rec), Prof with whom I took two upper division math courses (Medium rec, Harvard Grad, Renowned in field), Prof with whom I took econometrics (Medium rec) Coding Experience: R, Matlab This is my first post here. If anyone has any insight on institutions to which I might be accepted, any help would be greatly accepted. Thank you so much.
  2. Undergrad Institution: Big State School Major(s): Industrial Engineering Minor(s): Mathematics GPA: 3.31 Industrial Engineering 2.88 in Mathematics (Freshman Calculus Sequence is really killing me here, chalk it up to youthful ignorance) Type of Student: Domestic Asian Male Courses Taken: Calculus I (B), Calculus II (C), Calculus III (B), Applied Linear Algebra and Differential Equations (A), Discrete Math (A), Probability (A), Statistics (A) , Operations Research I (A-), Operations Research II (A), Statistical Process Control (A), Discrete Event Simulation (B+), Engineering Design of Experiments (A), Physics (all A's), Vector Statics/Dynamics (C/C, by far my weakest subjects), Digital Logic(B-), Strength of Materials (C), Properties of Materials (A) Courses in Progress: Theoretical Linear Algebra, Applied Regression, Upper and lower division Numerical Analysis Courses I will be taking in the future (These aren't gonna be on my app before applying): Undergraduate Real Analysis, Graduate Generalized Linear Models, Graduate Numerical Linear Algebra, Stochastic Calculus or Abstract Linear Algebra, Intro to ML GRE General Test: Q: 163 (84th percentile) V: 166 (97th percentile) W: 4.0 (60th percentile) GRE Subject Test in Mathematics: No plans on taking it Programs Applying: A mix of Stat, OR and Biostat MS/PhDs Research Experience: n/a (probably a dealbreaker for PhD programs?) May have some work beginning in January, but would be irrelevant for apps. Awards/Honors/Recognitions: Dean's list a few times, but nothing of note Pertinent Activities or Jobs: Did a fair amount of engineering work in industry. Had an 8 month full-time co-op with a major medical device manufacturer, did a major facility redesign at a different medical manufacturer for senior design project, recently had a process engineering internship at a major hospital provider. Letters of Recommendation: Two letters confirmed, one PhD in Biostat the other in Systems Engineering. No idea of quality though; scrambling to find third. No response from faculty member who knows me fairly well, so not hopeful on that front Any Miscellaneous Points that Might Help: I'm mostly interested in pursuing Bayesian methods and computational stat with side interests in ML and stochastic optimization Applying to (far from complete, please let me know if you have any suggestions, this needs to be pruned down): USA: NC State (MSc, Operations Research) OSU (MS, Statistics) Penn State (MS, Statistics) Purdue (MS, Industrial Engineering with OR focus) Purdue (MS, Statistics) UCLA (MS, Biostatistics) UCI (PhD, Statistics) UCR (PhD, Applied Statistics) UIUC (MS, Statistics) UNC (PhD, INSTORE) USC (PhD, Operations Research) USC (PhD, Biostatistics) UC Berkeley (PhD, IEOR) (waste of time?) UCSB (MS, Statistics) UMass Amherst (MS, Statistics) University of Michigan (MS, Statistics) University of Wisconsin at Madison (PhD, Industrial Engineering) UT at Austin (MS, Operations Research) UT at Austin (MS, Statistics) Canada University of British Columbia (MSc, Statistics) Simon Fraser University (MSc, Statistics) Simon Fraser University (MSc, Mathematics (with focus on Operations Research)) University of Alberta (MSc, Statistics) University of Waterloo (MMath, Biostatistics) University of Waterloo (MMath, Statistics)
  3. Undergrad/Graduate Institutions: University of Texas at Austin Major: Mathematics Cumulative GPA: 3.82 cumulative; 3.75 in major Type of Student: Domestic White Female Math/Stats Courses: Multivariable Calculus (A-), Probability (A), Linear Algebra (B+), Mathematical Statistics (A), Stochastic Processes (A), Applied Regression Analysis (A), Biostatistics (A), Real Analysis (A), Differential Equations (B) Got credit for Calculus I and II so hopefully that doesn't matter too much considering I've needed calculus in nearly every class since? Also going to graduate with 18 hours in CS classes (data visualization, basic programming in python, databases, mobile computing and numerical analysis) Quantitative/ Programming Courses: Elements of Computing (A) - this was basic programming in Python, Elements of Software Design (A) - more Python, Elements of Data Visualization (A) - included SQL, R, Tableau Elements of Databases (in progress) - SQL, Python, BeautifulSoup, learning to understand how cloud services such as AWS work 2 more classes next semester: Numerical Analysis in C and Mobile Computing where we will have to create a fully functioning app. I feel very confident in RStudio and pretty good about SQL as well. I think my coding in Python is decent but could definitely use some brushing up. GRE: Just took today and am incredibly upset. Quant: 160 - obviously don't have the percentages yet but this is much lower than I planned. This was my only run and I had a lot of anxiety surrounding it. Just couldn't get in a clear headspace due to anxiety. Verbal: 160. Don't have analytic score yet but I think it'll be > 4.0 at least. My first essay was pretty mediocre but I felt my second one was pretty good. Research Experience: 125 hours over the summer in a Human Development and Family Sciences lab; worked on coding in SAS and SPSS to calculate BMI percentiles for the teenagers in the study; also helped organize a small team to put together data for the professor's grant analysis. Recommendations: 1. The professor I worked with over the summer. She was surprised I completed the BMI percentiles task and said she expected that from a graduate student. 2. Applied Regression Professor - feel like it will be good? He said he'll discuss how I did in the class and my work ethic (i'm hoping the second part is what really stands out) 3. Stochastic processes professor who is very well-known; I can't say it'll be very personal or good but I hope that's offset by others who I feel know me more personally. 4. My Real Analysis professor. I had him for a class over the summer and he's just a really sweet guy. It might not be glowing, but I feel he can attest to my mathematical ability due to my work in the course. Other tidbits: I have worked about 20-30 hours per week consistently at my part-time job as a front desk attendant at a recreation center. This isn't really all that relevant, but I included how my daily encounters with the homeless people there have motivated me to pursue biostatistics in my personal statement. It also explains some Bs during my sophomore year as I was getting used to working. I'm mildly concerned about the B+ in linear algebra; however, I am taking Applied Linear Algebra this semester to brush up on those skills. Currently a TA for Biostatistics where I grade and assist with lecture and lab. Programs I'm applying to based on order of preference: University of Washington (biostatistics) (MY DREAM SCHOOL) but I'm feeling very discouraged atm with getting in due to my low quant and I won't have time to retake . University of Wisconsin-Madison (biostatistics) UT Health Science Center (biostatistics) Rice University (statistics) Oregon State University (statistics) Colorado State University (statistics) University of NC - Chapel Hill (biostatistics) Baylor (statistics) University of Texas Dallas (statistics) * Some of these schools only have a statistics program but with biostatistics electives; I marked whether I'm applying biostatistics or statistics. Thank you so much for reviewing. Please let me know if I should consider any other schools/drop some of these because honestly if it isn't necessary to keep schools like UT Dallas and Baylor I'd be thrilled with dropping them. Lat note: I won't have time to retake the GRE for my top 3 schools (of course >:( ); however I will be retaking it ASAP for other applications.
  4. Undergrad Institution: Small Private Liberal Arts College Major(s): BS in Biostatistics GPA: 3.514 overall (Biostats major (math,bio,chem): 3.29, math classes only: 3.63) Type of Student: Domestic Male GRE General Test: Q: 156 (63%) V: 167 (98%) W: 4.0 (59%) GRE Subject Test in Mathematics: N/A Research Experience: 1) Summer doing research with Mathematics Department, focusing on developing a model of migratory species. Used Matlab. 2) Summer REU in Pittsburgh doing data analysis of enhancer sequences. Used R. Courses: Calc I,II, III (B, A, A), Linear Algebra (B+), Applied Statistics (B), Advanced Statistics (A-), Probability (A-), Discrete Methods (A), Mathematical Modeling in SCI (A), Bio 1105 Intro to Molecular Bio (B+), Bio 1106 Evolutionary Bio (A-), Genetics (B+), Chem 1101 (B), Chem 1102 (C+) Letters of Recommendation: PI at REU (good), Undergrad math/biostats advisor (good), 2 math professors I took classes with (good, but only one class with each) Work experience: ~3 years working on campus in customer service position, ~1 year at Dana Farber Cancer Institute doing data entry Awards: Deans list, nothing significant Applying to: MS Biostats/Stats/Data Science (realize that last might be better considered in the CS forum, feel free to focus on the other two) MS: Northeastern (goal, stats or data science) Boston University (stats) Umass Amherst (stats or CS w/ conc in data science) University of Pittsburgh (biostats) Worcester Polytechnic Institute (data science) Concerns: 1. Low GRE Quant score 2. Lower score in biostats courses 3. Low Bio/Chem scores I recognize I have a weird situation here and would really appreciate any advice/insights. I'm applying to MS programs in Stats/Data Science/Biostats (all three!), please feel free to only focus on those your familiar with! Order of preference is Data Science > Stats > Biostats but wouldn't mind any of the three ...so I thought I'd apply to all three types of programs and see what I get accepted to. I'd love Northeastern: its local, offers data science as an ms, and is in walking distance from an internship I plan to apply to. Biostats MS programs I'm a bit iffy about applying to, I just am not that good at Bio/Chem (see my overall biostats gpa...) and math interests me more. More a question of whether it is realistically worth applying to though, since I don't mind context I work in so long as I'm doing math! Thanks a ton in advance to anyone who responds *edited for clarity
  5. Undergrad Institution: Top 30 US University (Top 6 Public) Major(s): Applied Mathematics (minor Public Health and have taken computer science classes) GPA: 3.87/4.00 Type of Student: Domestic Asian female Relevant Courses: Linear Algebra (A), Probability Theory (A), ODEs (A), Foundations of Math (A-), Operations Research: Stochastic Models (A), Data Analysis (A), Multivariable Calc(A), Statistical Data Mining (a grad class- A), Data Structures (A-), Mathematical Statistics (A), Foundations of Epidemiology (A). While I studied abroad (National University of Singapore), I took Statistical Methods in Epidemiology, Survival Analysis and Numerical Analysis. I withdrew from Real Analysis last semester because I had mental health problems from reverse culture shock after coming back from abroad, but I am retaking it this semester and doing much better. I am also taking a graduate theory class (Applied Linear Regression) and 2 graduate classes next semester. GRE General Test: Q: 161 (78%) V: 159 (85%) W: 4.0 (60%) (retaking the GRE in 2 weeks) Programs Applying: Biostatistics PhD Research Experience: Internship in the Biostatistics branch at the NIH (writing a paper for publication), SIBS, EXTREEMS-QED (and NSF undergraduate REU at my host university doing a computational biology project), research assistant in the math department for over 2 years and the project is now my honors thesis. I presented this project at my school's research showcase and am presenting at conferences next semester. Pertinent Activities or Jobs: Founder and President of the ASA student chapter at my school (we have no statistics department so I wanted to introduce a way for people to become more exposed to statistics, I also teach SAS and R sessions to other students at my school). Letters of Recommendation: My honors thesis advisor, my NIH research advisor (she was a former ASA president and very well known), and my faculty advisor/math stat professor. I expect them to be strong. Programs I'm applying to (all Biostat Phd): Harvard John Hopkins Emory Boston University UW UNC Columbia NC State Brown Problems: My GRE Q is low because I freaked on test day although I would get higher scores on the powerprep gre tests (168) at home. Will a 161 completely discount my profile? In addition, although I am retaking real analysis I did W from it because last semester was not the right semester for me to take it. Is my list aiming to high? Do you think I have a chance in even one school?
  6. Undergrad Institution: Small Private Liberal Arts College Major(s): BA in Mathematics and Biology (two majors) Minors(s): Computer Science, Statistics GPA: ~3.35 (Math major: 3.45, Bio major: 3.19) Type of Student: Domestic Male GRE General Test: Q: 163 (84%) V: 164 (94%) W: 3.5 (42%) GRE Subject Test in Mathematics: N/A Research Experience: 1) Summer internship at University of MN with bioinformatics research team 2) Currently doing cell biology/bioinformatic research at undergrad institution (2 months in) Courses: Calc 2 (B), Multivariable Calc (B), Linear Algebra (B), Math/CompSci Proofs (B), Math Model Building (A), Scientific Computing (A), Modern Algebra (B), Nonparametric Stats (A), Parametric Stats (IP), Dynamical Systems (IP), Comp. Sci I (A) and II (A) - not sure if these are relevant Letters of Recommendation: Professor/Supervisor at internship listed above (medium-strong), Undergrad math advisor (strong), Undergrad advisor (strong) Work experience: ~1 year as a Calculus TA/Tutor at undergrad, worked for 2+ years over holidays at construction office doing IT work Awards: Honorable Mention (2017), Meritorious Winner (2016) in COMAP Mathematical Contest in Modeling Applying to: Mostly MS Biostatisics Programs MS: UMinnesota (goal) U Washington UW Madison (Biomedical Data Science program) U North Carolina UCLA Columbia Concerns: 1. Low Analytical Writing Score. I'm fairly confident my actual writing isn't representative of that score, so I'm hoping my statement of purpose will alleviate some doubt there. 2. Low grades in core math classes As I have narrowed down my options in the past few months, I am struggling to determine how competitive of an applicant I actually am. I am feeling like a weak candidate at many of the schools I have listed and would like to add one or two more schools to that list that I would be a competitive applicant at. Thanks for any input.
  7. Hello, stat forum members! I hope some of you would be kind enough to go through this post. Undergrad Institution: India. Not one of the IITs. Major(s): Bachelors in Pharmacy GPA: ~3.4 Type of Student: International Student GRE General Test: Q: 166 V: 166 W: (waiting for official scores) GRE Subject Test in Mathematics: N/A Research Experience: No relevant research experience, I think. 1) Worked one summer in the chemistry lab. No publications. 2) Conducted a study in which I set out to evaluate the influence of personality traits on patient adherence. Unpublished but had an oral presentation in college. Not sure if it counts. Courses: Calc 1, 2 (A+)(covered in a one-semester course), Applied Math and Pharmaceutical Statistics(diff eq, laplace transformations and biostatistics) (A-) Computer Science (A), Operations Research (A+), Marketing Research Methodology (B+) Letters of Recommendation: One from calc professor and one from my chemistry lab advisor. Work experience: Have interned at pharmaceutical companies (one month in a production plant, and 4 months in the supply chain department). Not sure how much weightage that holds (if any) Applying to: MS Biostatisics Programs MS (tentative): U Columbia (Reach) U Minnesota (Reach) UT Health Science Center BU (MA Biostatistics) (Reach) Pittsburgh Vanderbilt (#1 choice overall) George Washington University (Reach) Ohio State University UIC Oregon State (MPH Biostatistics) Concerns: 1. Unsure if I my coursework meets the pre-requisites. 2. No research experience. 3. Obscure undergrad institution, bachelors in an unrelated field. I am aware that my overall profile is quite weak. I have been studying stats/biostats on my own but obviously I have quite little to show for it on paper, and of course programs would be (rightfully) skeptical of someone who claims to have "self-studied" a subject. I would really appreciate if someone could honestly evaluate my chances of getting into the universities listed above. Should I aim at even lower ranked programs? Should I wait one year and try to beef up my application (by perhaps giving the subject test)? In what other way can I improve my application? Thanks!
  8. I will be applying for Masters (and possibly some PhDs) in Statistics for Fall of 2018. I was hoping to hear how competitive my profile is at some of my target schools. Stanford (MS) is my dream school, so I'm most interested in feedback there. I'm concerned about whether to retake the GRE, since the average listed score at Stanford is a perfect score (97%). Undergrad Institution: Top 5 Public Ivy (Ranking: ~top 30-35 nationally overall, roughly top 20 in stats) Cum GPA: 3.89 Major: Statistics (3.84*), Psychology (4.0*), both B.S. *Only explicitly includes stats/psych department classes, respectively. Excludes math, astronomy, physics, & related classes that counted towards my majors, which would likely bump up my stat GPA a bit. Type of Student: Domestic White Male (DWM) from the south. GRE: 167 (93%) Quant, 164 (94%) Verbal Research/Work Experience: ~1.5 years as a statistician at a large research company. Have worked on surveys / projects with institutions such as the Bureau of Justice Statistics (BJS), Center for Disease Control (CDC), and other government bureaus. Project topics include criminology and victimization, drug usage, and general health. I presented at a large statistical conference recently (published a proceedings paper). I did some very minor research during my undergraduate classes. Awards/Recognition: Phi Beta Kappa. Dean's List GPA (3.5+) every semester. Inducted into Phi Sigma Pi Honors fraternity. Nominated for junior statistician award by coworker (winner not announced yet). Applying to: Statistics/Biostatistics, Masters (maybe PhD) Dream: Stanford (M.S.) - Statistics Reach: University of Chicago (M.S.) - Statistics** Harvard (M.S.) - Biostatistics** UC-Berkeley (M.A.) - Statistics Match: University of North Carolina (M.S.) - Biostatistics** University of Michigan (M.S.) - Statistics** NC State (M.S.) - Statistics (also looking at Advanced Analytics/Data Science) **May consider PhD, depending on how competitive I am at program
  9. Hello, I am an international student but currently staying in the USA. I pursued my Masters Program here in USA. I am in the process of applying for a PhD program in Statistics or BioStatistics. Undergrad Institution: International University (Outside USA) Major(s): Economics and Mathematics GPA: 3.57 Grad Institution: US University Major(s): Mathematics GPA: 3.8 GRE General Test: Q: 157 V: 139 W: 3.5 Program Applying: PhD in Biostatistics or Statistics Research Experience: None Awards/Honors/Recognitions: TA Assistantship for Master's Program Courses at Grad Level: Partial Differential Equations (A), Abstract Algebra (A), Advanced Differential Equations (A), Combinatorics and Graph Theory (B), Theory of Statistics (A), Introduction to Numerical Analysis (A), Analysis I&II (A-), Applied Statistics (A), Statistical Computing (B+), Discrete Modeling and Optimization (A), Actuarial Science (A), Complex Analysis (A-), Experimental Design (A), Assistant : Teaching Assistant for two years Letters of Recommendation: -Assistant Professor in Statistics (Strong) -Professor in Applied Mathematics (Strong) -Associate Professor in Mathematics (Strong) I am aware that my GRE score isn't the best and I have no research experience (but let's overlook that). I am interested in universities based in Atlanta Georgia. Based on my profile, what are my chances of getting admission into the following universities? I need your suggestions and advice. Thank you. Schools: University of Georgia (PhD in Statistics) Georgia State University (PhD in Biostatistics) Augusta University (PhD in Biostatistics)
  10. The University of Waterloo has a Masters program called MMath in Biostatistics. They seem to cover 7 courses and a thesis dissertation. From their website, it is not clear what the duration of their program is (two years?). On the other hand, the University of Pittsburgh has a reputed public health school which offers a 40-credit MS in Biostatistics from the Department of Biostatistics that includes thesis dissertation and two years of coursework. I'm wondering which of these two programs might be a better preparation for a PhD in Biostatistics. I have found positive responses from the professors of both programs, although that doesn't guarantee admission, I'm just thinking ahead.
  11. Greetings *waves* I'm new to the forum and just wanted to introduce myself, and maybe get some feedback about my graduate school pursuits. I am currently enrolled in a public health certificate program, completing the core competencies and would like to transfer these credits into an MPH program. My main concern is the employment outlook, both for supporting myself through grad school, and after completing the degree. So before pursuing public health, I got a B.S. in Psychology and a minor in Biology. I was always interested in neuroscience but iffy about the kind of career it would entail (i.e. getting a PhD and taking more biology and chemistry classes when I didn't like half the ones I'd already taken; and biology courses keeping by GPA down). I am from NYC (Queens) and the job market is supersaturated and ultra-competitive. Maybe that goes without saying, but being in the eye of the storm I don't know what it looks like from the outside so maybe that isn't common knowledge. Dramatic relocation is on my agenda. It's been fairly evident that my economic worth here is virtually 0. Bit of a catch-22: I was raised here and want to get out, but need the financial means to do so, which seem to lie elsewhere... After graduating, I looked for research assistant jobs (or something similar in the realm of health/medicine) for upwards of a year. Since graduating the only actual job (as in $$) I've had was at the end of 2015, when I worked on two research projects on a temp assignment. Since spring of 2014, I've interned as an online consultant for a company that specializes in health IT. At the advice of others last summer to find something that will give me credentials beyond a Bachelors, in fitting that to my own career goals I decided an MPH might be a good option. I've always been curious about bioinformatics and enjoyed my stats classes (and I'm not math-phobic). Leaning biostats or epidemiology, and also something mental health-related would be cool. I should mention I have other internships now as well that are more public health-relevant, but still leave me part-time availability (in the event I ever find employment before starting an MPH program..) I will be completing the certificate program this spring, basically it's all the core/general competency coursework for an MPH ([email protected] credits). For fall of next year, I'm looking at the Colorado School of Public Health. It is my first choice given that I fell in love with Colorado when I went there before, and the job market both in general and for PH, health, and biotech fields in particular seem promising. Supposedly it is not at all saturated either (or so I just read on another forum, though I think that was said 2-3 years ago). Other programs I'm considering are Rutgers, Drexel, SUNY Buffalo, U. Pittsburgh, and U. Michigan. Don't know if that's too many schools to apply to (I know for PhD programs, that's not a large number of prospects). My primary concern aside from getting into CSPH is being able to find work there to support myself. I know housing is getting pricey there, probably not on par with NYC but still. Is it reasonable to expect I will be able to find work more easily there compared to where I am now? Or am I completely screwed if I don't find anything before next fall? As far as academic stats: Undergrad GPA 3.27 (higher in later semesters, mostly Biology classes kept it down as I got a few C's) Grad courses completed so far: 2 A's; Enrolled this semester: biostats and epidemiology core Undergrad mathy/sciencey courses: 1 year of calculus, 1 year of statistics within the psychology dept, 1 semester being upper division, 1 year of chemistry (yes, my school required this amt of "hard science" for a Psych BS), and the biology minor. i.e. minimum requirements met for many MPH-biostats programs. If I have to go back and take linear alegbra, retake calculus so it's more recent, or whatever else before actually starting the Master's, at this point I don't think it's worth it. I mean I do have to eat and pay rent.. 2 professional conference presentations and 3 publication co-authorships w/ the company mentioned above GRE: N/A, will be taking in a few months most likely
  12. Specifically for PhD programs in Statistics, is there a consensus on when (if ever) extra letters of reference should be submitted? I have 5 potential letters, and I think they'll each be quite strong. If the schools I'm applying to allow for additional letters, do you think it's a good idea to submit all 5? It feels awkward talking about my research experience with a particular professor in my SOP and then not having a letter of reference from them. On the other hand, I don't want to irritate the committees with so many documents to read through. Let me know your thoughts. Thanks!
  13. Hello, I did a bachelor's in biology and environmental science, with only one 400 level statistics course. I'm taking further math classes at a community college right now, before applying for an MS in Biostatistics. I know my limited math background already puts me in a bad spot, but I'm unsure about my picks for recommendation letters as well. I was wondering if it matters that my writers dont all have PhDs, esp since only 1 is in math. Right now, I have one biology professor (PHD bio), one environmental science professor (MS env sci) and the stats lecturer (he wasnt a professor. MS applied math) They all know me well, but is that good enough?
  14. 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
  15. Hi, all, This might be some kind of unusual application. I've been out of school for more than 5 years, and been a data analyst for that long. And I got very low under GPA(2.4) but good MS GPA(3.9). I'm wondering what my chances would be of getting into a phD program, or where should I aim based on my profile. Should I retake my GRE (since only 148 in verbal), or should I take a GRE math subject test even it's not required? Any suggestion would be appreciated, thanks! Below is my profile Undergrad Institution: Top 1 university in my country GPA: 2.38 (very low...) Type of Student: international, female GRE General Test: Q 170; V 148; AW 3.5 Graduate Institution: Top 1 university in my country Major(s): Epidemiology Degree: Master of Science GPA: 3.95 Research Experience: 3 journal publications, but all not first author Pertinent Activities,Jobs: 5+ years data analyst (3+ biostatistician) Letters of Recommendation: 1 from a professor of biostatistics (my master advisor), 1 from my former employer and 1 from current employer. They should all be good. Computing Skills: R and SAS Programs Applying: PhD in Biostatistics/Statistics Want to Apply to: - John Hopkins (Biostat) - U Michigan (Biostat and Stat) - U Minnesota (Biostat) - Emory (Biostat) - Iowa State (Stat) - NC Stat (Stat) - UC Davis (Stat) - U Pittsburgh (Biostat) or any other suggested institution
  16. Hi, I am currently preparing my application for master's ( and Phd ) degree in Biostatistics. I am wondering if my background is good enough to apply for a few top ten programs. Also which are safe/ambitious for MS/ Phd. Undergrad/grad Institution: One of the old IITs Major: BS MS (dual degree) Mathematics and Scientific computing GPA: 3.8/4.0 (MS), 3.2 ( BS ) Type of Student: Asian Male Relevant Courses: Except for C in Probability & Statistics, all A, A* or B in: Probability & Statistics, Applied Stochastic Process, Time Series Analysis, Regression Analysis, Non-Linear Regression, Inference-I, Mathematical modelling, Numerical computation, Theory of Computation, Ordinary/Partial Differential Equations, Complex Analysis, bioinformatics and computational biology Data Structures & Algorithms, Probabilistic Machine Learning, Natural Language Processing, Financial Engineering GRE: V152 Q170 W3.5 TOEFL: Awaiting score Research Experience: Did an intern at IISc Bangalore, related to Markov Chains ( after my 2nd yr, so not much significant ); Will be starting my MS project on biostats this semester Recommendation: All from home school (1 strong, 2 moderate) Awards/Honors: KVPY fellowship awardee School of Interests: Johns Hopkins UMich Wisconsin Madison Columbia Yale Brown Boston University UNC Georgetown University of Minnesota, Twin Cities University of Pittsburgh UBC and SFU (joint) Waterloo UToronto McGill Thanks for your help!
  17. Undergrad Institution: Low-ranked non-flagship state school Major: Mathematics, CS minor GPA: 3.95 (4.0 in math) Type of Student: DWM Upper Division Courses: Real I/II, Mathematical Statistics, Categorical Data Analysis, Abstract Algebra, DEQ, Set Theory (grad level) GRE: 169V/170Q/5.5W Awards/Honors/Recognitions: Generic math department awards/ high gpa awards Research experience: Past summer at top 15 biostatistics department in clinical trials, two working papers in stat, one r&r in graph theory Pertinent Activities or Jobs: Student teaching assistant in math department Letters of Recommendation: Math department chair, young stat professor from department, leader of data coordinating center from top 15 biostat department Research Interest: Clinical trials, specifically Phase I and Phase II (I want small grant hell for the rest of my life), and structural neuroimaging (Plan) to apply to (PhD Biostatistics Programs): Harvard Johns Hopkins UNC Michigan Emory Minnesota Florida State (hopefully safety) SMU (hopefully safety) Possibly (PhD Statistics): Purdue Texas A&M South Carolina (safety) Random: Notre Dame AMSC (one adviser in particular) I worry I may be aiming too high on the biostats side. I would love anyone's opinion/advice! Thank you all in advance.
  18. Hi, I am currently preparing my application for master's degree in Biostatistics. I am wondering if my background is good enough to apply for a few top ten programs since I received a C in Calculus I, which worries me a lot (however, I received A+ in Calculus II: Multivariate Calculus). I appreciate any advice, thank you! Undergrad/grad Institution: The best university in my country Major: Psychology BS GPA: 3.86/4.0 Type of Student: Asian Male Relevant Courses: Except C in Calculus I, all A+ or As in: Calculus II (Multivariate Calculus), Linear Algebra, Intermediate Statistics, Advanced Statistics I & II, Multivariate Analysis, Theory of Probability, Intro to Stochastic Modeling, Numerical Analysis, Computer Programming in Statistical Analysis, Applied Linear Statistical Models, Discrete Mathematics GRE: V162 Q169 W4.0 Research Experience: currently finding... Awards/Honors: Academic Excellence Award*2 Dean's List School of Interests: Johns Hopkins UMich Columbia Yale UCLA Brown Boston University Thanks for your help!
  19. Hi guys, it's my first post here. I plan to apply for PhD program in Biostatistics in 2018 Fall. Can anyone help decide which programs to apply for? I understand that my profile doesn't look good as compared to others that I have seen on the site. Thanks in advance! Undergrad Institution: Ordinary institution in Asia (2011-2015) Major(s): Statistics GPA: 88/100 Type of Student: male, international GRE General Test: Q 170; V 160; AW 3.5 Programs Applying: PhD in Biostatistics Graduate Institution: Private research institution in New England, ranks 40 (2015-2017) Major(s): Biostatistics Degree: Master of Public Health GPA: 3.8 Research Experience: A few projects in undergrad, published a working paper for a conference, participated in project reports drafting. I worked as RA in my masters program under a research center at School of Medicine. After graduation, I was employed full time as Statistical Data Analyst at the same center. I have done 14 projects with 10 collaborators, mostly physicians at the university teaching hospital. I have submitted 4 manuscripts, and they are under review now. But I'm not sure how many of them would be published by the application deadline. Also I have an oral presentation on APHA annual meeting in Atlanta in November this year. Awards/Honors/Recognitions: Some awards in college, and a scholarship in UW summer institute 2017 (SISBID) Pertinent Activities,Jobs: I took many math classes in undergrad, algebra, probability theory, advanced calculus, nonparametric statistics, real analysis, multivariate statistics, etc. Most of them were above 85/100. My graduate courses are more applied statistics. Now I'm a full-time employee as Statistical Data Analyst. Letters of Recommendation: One from my statistical courses in grad school, one from a clinician from the teaching hospital who I collaborated with during masters program, and one from my graduate mentor, current employer. They should all be good. Computing Skills: R, SAS, Stata Applying to Where: Boston University, Vanderbilt, Ohio state? Am I too ambitious?
  20. About me: I graduated 5 years ago with a BA in English & Spanish. After working in public health for about a year I went on to do a MS in Epidemiology, which I loved and did well in. Both degrees were done in the UK. Moved back to the US 2 years ago thinking I might want to go to medical school, so have been working in clinical research at a large academic school and taking med-school pre-reqs (bio, physics, chemistry, biochem, etc) on the side. After working closely with physicians and getting to see a lot of different elements of clinical medicine/research, I am reconsidering my career path (again...), and am becoming more interested in the research/bioinformatics side of medicine. Luckily my MS was quantitatively strong and I have taken classes in calculus, biostats, bayes, and infectious disease modeling already. For those accepted to, pursuing, or graduated from a PhD in stats/biostats...what do you think my chances of acceptance are? If 0, what would improve them? Thanks for your advice!
  21. 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
  22. Hey, I am a Canadian looking to apply to (Bio)statistics programs for the Fall 2018 term. I think my profile would do pretty well at some Canadian universities, but I have no clue what my chances are at US universities and I don't want to spend too much money on a bunch of schools that will likely reject me. So here's my profile. Please let me know what you (honestly) think. Undergrad Institution: One of the big Math/Statistics schools in Canada (one of U of T, U of Waterloo, UBC) Major(s): Statistics and Math Minor(s): GPA: Cumulative: 3.89/4.0, Major: 3.93/4.0 Type of Student: Canadian Male Calculus 1-3 (A+, A, A-). Linear Algebra 1-2: (A, A-). Advanced calculus / introductory real analysis (A+). Abstract Algebra 1-2 (A+, A+). Mathematical Logic (A+). Mathematical Statistics (a la Bain/Engelhardt, A+). Regression (A+). Computational methods in Statistics (A+). Introductory stochastic processes (A+). I haven't taken the GREs yet. GRE General Test: N/A Q: V: W: Programs Applying: Statistics and Biostatistics Research Experience: One part time RA with a Statistics professor. One full time RA with a different Statistics professor. Awards/Honors/Recognitions: NSERC USRA (I believe this is similar to REUs in the US) Pertinent Activities or Jobs: Worked as a Software Engineer at a couple tech companies and as a Junior Statistician at a medical institution. Letters of Recommendation: Probably 4. Did research in some capacity with all 4. At least two of them should be very good. Any Miscellaneous Points that Might Help: Dropped a math course to make time for part-time research. This might be seen as a bad thing. Also, I am currently working on a paper but it likely won't be published until after I submit my application. However, one of my letters of rec will likely speak about it. Applying to Where: Have not decided yet. I'm looking for input here. I am heavily biased towards universities in (or close to) larger cities and schools that accept many applicants. As such, I've currently thought of: (All Statistics and/or Biostatistics PhD) Columbia Harvard UWashington-Seattle University of Minnesota - twin cities UCLA Boston University Emory North Carolina State University UChicago UPenn I'll also apply to a few Canadian schools. Thanks for your help!
  23. I am an international student from the subcontinent with almost four years of job experience in academia and a few publications in internationally recognized biostatistics and public health journals. I couldn't prepare for GRE adequately by January of this year and scored around mid 310s. I applied to several US universities for PhD in Biostatistics with that score. Later, I reappeared for the GRE and scored 328 (Q: 168, V: 160). I reappeared for GRE immediately because I thought none would take me this year and that I didn't want to wait and let the vocabularies fade away from my memory. But I couldn't submit this score anywhere as the deadlines of most good schools were already over. Recently, I have got a fully funded offer of admission from UPitt Biostatistics. I am really surprised at that. But at the same time, now I have a feeling like I should decline the offer and wait for the next cycle. Because with my latest GRE score I may find higher ranked schools. But I am extremely confused if that will really help or just be a gamble. Because from this year's experience, I think it is difficult to get admission in a PhD program as an international student. So is it worth taking the risk? The other thing I can do is accepting the offer and then try to switch next year. But that seems `unethical' to me to some extent because accepting a program means giving them a commitment. Moreover, the other schools where I wish to apply may take it negatively if I want to switch from another US institution. Your thoughts on this can help shape my decision. Really looking forward to hearing from you!
  24. I've narrowed down my final two choices for a PhD beginning Fall '17 to Johns Hopkins University's Department of Applied Mathematics and Statistics (School of Engineering) and Brown University's Department of Biostatistics (School of Public Health). I've been accepted at both. I'm interested in applied statistics (I have work experience in data science and an M.S. already), so biostatistics sounds like a natural fit. I'm curious about the reputation of the Brown program. It seems small but mighty! My concern is that by going to Brown, I'm throwing away the opportunity to rub shoulders with JHU Biostatistics (they rejected me), but I suspect it's better to like the department you're in rather than the department you're near. I haven't heard much about JHU AMS. Thanks in advance for your $0.02.
  25. I have been accepted to the master's program in biostatistics at University of Texas Health Science Center. If anybody can share their insights about the program, and also about the job scenario in Houston then it would be really helpful. I urge all the experienced members to kindly share their thoughts. Thanks in advance.