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Found 22 results

  1. Hey everyone, I am an international student and I have received 2 offers from UCLA and Minnesota for my masters in Biostatistics program. I would like to know which is better program for Biostatistics. My priorities right now are job prospects and good teaching faculties. I will be taking out a loan to fund my masters program so I will need to secure a decent paying job after I complete my program. I researched a lot and found out that Minnesota is a better and cheaper program in comparison to UCLA but UCLA has a major location advantage which might improve my chances for a job/internship. I am completely confused and would really appreciate your insights. Moreover, I understand that most of the masters students do not receive any teaching/research assistantships in their 1st year but do a significant amount of masters students secure any form of assistantship in their final year of the program [This would help me fund my masters program]?
  2. I saw last year's post and thought it would be a nice time to start an application thread. Additionally, I believe emails for interviews for PhD biostatistics programs have started rolling in.
  3. Hi all! I'm in the process of applying for graduate schools (in both the US and Canada) and was hoping for realistic feedback so that I can manage my expectations. I think I'm a relatively strong applicant but a good reality check can always be helpful! Undergrad Institution: McGill University Undergrad Major: BSc Joint Biology and Mathematics GPA: 3.80 Relevant Courses: Math: Calc I (A), Calc II (A), Calc III (B+), Linear Algebra (A), Analysis I (A-) and II (A), differential equations (A), probability (B+), statistics (with R) (B+), stochastics (S/U'd), linear regression (A) and mathematical statistics (in progress) Biology: two semesters of intro bio (both As), two semesters of genetics (both A's), quantitative biology (A), multiple neuroscience courses Computer Science: Introductory programming in Python (A), Introduction to Computer Science in Java (B+) GRE General: V/Q/A: 164/169/5.5 Programs Applying MS: Boston University, University of Michigan, McGill University, University of Toronto Programs Applying PhD: University of Washington, New York University Research Experience: Summer grant-funded research and poster presentation in bioengineering department of my university, two years in quantitative physiology lab with one published paper (not 1st author) Teaching Experience: TA for General Chemistry 1-2, Organic Chemistry 1-2 and Intro computer science Employment: Online tutor for web-based company (~2 years, still employed), four month remote internship as laboratory assistant in Cusco (not sure if worth mentioning) I financed my degree on my own so I know I'm lacking a bit in extracurricular/leadership activities but I'm hoping my grades and research experience help me out a bit, please let me know if I'm shooting too high as I do have time to apply to other MS programs!
  4. Hi I am a 3rd year life sciences major, and am hoping to apply to the UofT biostatistics program next year. My grades are decent (high 80 average), I have an okay background in math as I am also a math minor (I have completed all of the math course requirements for the MSC program), and I know python and some R. However, I do not have any relevant work or research experience. With COVID the one internship I had lined up fell through and it has been really tough to find other ones. I was just wondering how relevant relevant work/research experience is for admission for this particular program.
  5. Fully funded PhD Rice Statistics program (option to do joint Biostatistics training program with MD Anderson and Baylor College of Medicine) vs MS UPenn Biostatistics. UPenn is my dream school and I just don't want to leave the north east. MS and PhD students at UPenn share the same course work and MS can take qual exam. However, a spot in MS UPenn does not guarantee me an acceptance to PhD. I'm international. Should I follow my heart?
  6. Thanks for reading this. I will be attending a Top 3 biostat master program next fall, and I want to seek for advice on how to become a competitive applicant for phd program in stat/biostat 2 years later, especially as an international student. FYI, I graduated from a top flagship state university with a major in statistics&computer science. I also have a minor in math but most math course I took are not proof-based and I only took one elementary analysis class (A+ grade). I also have done several research projects but do not have any publications. Specifically, I want to know given my background, should I prioritize taking more advanced proof math/analysis/probability class, or focusing more on doing research and possibly making some publications during my master study?
  7. Hi all!! I am seeking suggestions on where to go for the master program. I was admitted by MS in biostatistics in UW-Seattle (Capstone track) and Umichigan, but still cannot make a decision by far and I am now getting worried since 4.15 is approaching. My brief background: double major in genetics and statistics (but I took much more courses in genetics). I applied for MS program in order to get more rigorous theoretical training in mathematics and statistics, and my current thought is to continue in a PhD program after graduation if possible. My current thoughts about two schools are: UW-Seattle Pros: top biostats program and has diverse research projects relatively low tuition ($55k) for 18 months good location for seeking for jobs small class (probably 10-20 ppl) Cons: fixed schedule (three tracks: ds/stat gen/modelling) less theoretical compared to the thesis program very new program and do not have any graduate stats (this year is the second year of the program) Umich Pros: super strong in statistical genetics with a huge group of faculty working on it flexible schedule (12 credit electives) high acceptance rate for internal transfer to PhD program Cons: high tuition ($~85k) for two years, a small chance to find TA/RA to cover some in 2nd year large size of class > 40 ppl less tolerance to snow days even though I have spent 4 years in similar condition already I think my concerns mainly come from uncertainty how each school prepares and benefits me getting into a PhD program later. For internal transfer, Umich definitely has a higher chance (13-15/ 30+ applicants) compared to UW (0-2 ppl). I assume the possibility to get successful transfer in UW close to 0 right now and really have no idea what schools their graduates could enter for a PhD degree due to the lack of information. Meanwhile, I think my background matches very well with stat gene and Umich will definitely be a good choice in that field, UW not bad either though. However, I have not done any biostatistics relevant research yet so I am really not sure if I want to go for stat gene in the future. Last, I do vote for rain instead of snow in terms of weather. lol I do appreciate anyone can help and gives some suggestions!
  8. Hey everyone. I was admitted to Duke's Master of Biostatistics program with a $20k/year scholarship. I would like to know what people think about this program if they have any experience with it. I'm pretty compelled to go from a financial and academic standpoint, with the only better pending offers coming from Michigan, UNC, and UMN. However, I don't know how likely it is for these schools to give funding to MS students. Let me know what you think. Thanks!
  9. Hello, I am an international student applying for Stat and Biostat PhD programs. Today I got an email inviting me to an interview for the Biostat and Bioinfo PhD program at Duke and they are asking if I have some faculty I would like to invite as interviewers. How would you answer this, or, how DID you answer for this?
  10. Hi there! I am hoping to get some advice regarding where I stand as an applicant for a MS in Biostats. I graduated a few years ago with a BA in Biology and Environmental Studies with a 3.52 GPA. Since then, I have been working to meet the prerequisites for graduate programs by taking Intro to Stats (though I did take a Biostats course in college too) and all three Calculus courses. So far, I earned A's in all of them. I will be starting Linear Algebra this semester as well. I have also been working as a lab specialist in the medical field for the past year in hopes that some research experience might provide a beneficial perspective. However, I am not a huge fan of the job and hope to switch to something that allows me to work with any sort of data. I am not really sure what tier of schools I might be able to get into, so am reaching out for some recommendations! Any other suggestions for improving my strength as an applicant will be greatly appreciated :)
  11. Hey guys! I am currently a masters student in Biostatistics and will be applying to Biostatistics PhD programs for Fall 2021 admission. I was wondering if you could help me choose a range of school or give me any adivice about my current list. I would like to apply to programs within top 30 range in both US and Canada, but I am not sure if that is unrealistic or not. I would be appreciated if anyone can give me some helpful advice. Undergrad Institution: Rank around top 40 University of science and engineering in Asia GPA: 3.87 Majors: Math Graduate Institution: University of Waterloo GPA: 3.9 Degree: MS in Biostatistics GRE General Test: Q: 170V: 152W: 3.5 TOFEL: Waive Type of Student: International student Programs Applying: PhD in Biostatistics. Mostly focus on survival analysis and genetic association analysis. Research Experience:  Attended several projects and submitted two papers last month during co-op program. Our work mainly focus on survival and genetic analyisis collaborating with other clinical researchers, 2020. Attended Statistics Student Conference in Canada this year. Plan to submit a report to competition. Worked as TA in two terms, 2019-2020. Honorable Price in Mathematical Contest In Modeling, 2018. Letters of Recommendation: one great letter of recommendation from the professor in my research program. One from currect supervisor in colleage. One from assistant professor in class. My current list: Tier 0: JHU biostat Tier 1: Umich biostat , Umich stat , UNC biostat, UNC stat Tier 2: Wisconsin stat, Wisconsin biostat In data science, UMN stat, UMN biostat, UTeXas MD biostat, OSU stat,PSU stat, Emory biostat, UBC stat, Mcgill biostat Tier 3: UWaterloo biostat, UToronto biostat I think this year will be very competitive applying for PhD in biostatistics. Due to COVID-19, I have confirmed that many schools in my current list do not require GRE for 2021 application. That's why I do not choose to spend much time on getting a higher mark. Thank you in advance for your help!
  12. Hey everyone, I would appreciate a rundown of my profile and would love some advice/tips. Thanks. I'm entering from a mostly unrelated field. Undergrad Institution: Large State School Major(s): Criminal Justice/Criminology Minor(s): Mathematics (Post-bacc mostly) GPA: 3.5 (4.0 since start of Junior year) Type of Student: DWM, LGBT but I probably won't be mentioning that in my application. GRE General Test: I'm a very bad test-taker and will be retaking. Q: 157 (62%) V: 161(88%) W: 4.5 (80%) GRE Subject Test in Mathematics:n/a TOEFL Score:n/a Grad Institution: n/a Concentration: GPA: Programs Applying: Statistics/Biostatistics (Master's only). Research Experience: Unpublished firearm policy/casualty trends research conducted through R. My mentor on this project is an epidemiologist at my university and will be writing one of my letters of rec. I've also been listed as a contributor on a submitted-for-publishing epidemiology study. I also have one presentation at a conference under my belt. Nothing too exciting. Awards/Honors/Recognitions: Nothing outside of president's list. Pertinent Activities or Jobs: TA'd a Calculus course for economic/business majors. Also employed as a math tutor at my university. Letters of Recommendation: Two letters from math professors I know very well (including the one I TA'd for) and the previously mentioned epidemiologist. Math/Statistics Grades: Calculus 1-3 (A), Discrete Math (A), Linear Algebra (A), Intro to Statistics (A). I'm also taking Probability, Diff Eq, and a prerequisite course to Real Analysis this upcoming semester. Any Miscellaneous Points that Might Help: Without being too specific, a lot work I did in undergrad had ties to public-health in minority populations. My main interest is using/developing statistical methods to better study aspects of healthcare, especially those that are more related to SES issues. I don't know how programs would view this since my background isn't strictly in Math/Biology/Statistics. Also, if I fail to increase my GRE Quant to 163+ before the deadline, how badly do you think my chances will be impacted? Applying to Where: (All Master's) (You're welcome to add suggestions, although I'd prefer to not be on the West Coast.) University of Florida University of Georgia University of South Carolina University of North Carolina-Chapel Hill University of Iowa University of Minnesota University of Michigan Duke University Emory University Thank you!
  13. Major: BS Mathematics and BS International Business 2013 GPA: 3.25 Math classes mostly Bs. Gre Q: 160 - 73rd V: 158 - 80th AW: 4.5 - 81st Experience: I have 7 years analyst work, 2 of them as a statistical analyst using SPSS, and 4 years writing automation scripts and programming with python. I would say my academics are weak, but passing exclusion. I'm hoping my experience can shoulder some weight. Assuming I apply to a broad range of schools, will I be considered?
  14. Hello all! I'm interested in applying for an MS in Biostatistics (Fall 2021) but am having trouble finding admissions data so I was wondering what you all thought about my application profile and how much of a chance I stood at the schools I'm interested in. Here's my profile: Undergrad Institution: The College of William and Mary Undergrad Major: B.S. Self-designed major called Epidemiology & Biostatistics GPA: 3.80 Relevant Courses: Math: Calc I and II, Linear Algebra, Multivariable Calculus, Prob. and Stat. for Scientist, Statistical Data Analysis Biology: 2 Semesters of intro bio, Biostatistics, and Quantitative Biology CompSci: Programming for Data Science Health Science: Foundations of Epidemiology, Public Health, Human Physiology, and Microbes in Human Disease GRE General: V/Q/A: 157/160/4 Programs Applying: Biostatistics MS at.. Emory, George Washington, Georgetown, Columbia, Brown, and Yale Research Experience: 4 years in undergraduate psychology research lab Teaching Experience: TA for Foundations of Epidemiology (1 semester), TA for Intro to Biostatistics (1 semester), and Library tutor for Calc I and II (2 semesters) Public Health Experience: 90h internship at my local health department, 70h volunteering at my local free clinic, and 30h shadowing surgeons (not sure if this is relevant enough to put on my applications) Leadership Experience (not sure if this is relevant either): Co-Fundraising Chair, Vice President, and President of my college choir in successive years Thanks! Please let me know what you think! Also, I'd love to hear any advice you have on applying in general!
  15. Hello. I've been fortunate to be accepted into the master's program in biostatistics at both Brown and at UWashington-Seattle. I was wondering if any of you have any thoughts or experience with these programs. They are both great schools, so I don't the quality of education at either place but I was more curious about the opportunities during/after the program and about the biostatistics communities at these schools. The Washington program costs about $10,000 less and is only a 1.5 years, while Brown is a 2 year program. But I like the fact that Brown is small and the Ivy name is really tempting as well. Anyways, any help in choosing between the two programs will be very much appreciated. Thanks!
  16. Hello! I got accepted into Columbia and UNC's MS biostatistic programs and I need some help in making my decision! So, as of right now, I'm not really considering pursuing for a PhD after the master program. But I've heard that getting a PhD in biostatistics really gives you advantages in the job market that you kinda have to have a PhD to get a job that pays well (although this applies to all fields I guess), so if anyone knows about this, please help! My main concern is about the schools themselves. For Columbia, I've heard that the MS program is easy and that they give a lot of admissions for this program every year. Given this, I'm a little concerned whether the program is really that good and whether it worth the money to go there. Also, my friend told me that UNC is closer to the firms in the industry so that it actually gives more job opportunity than Columbia does. As for UNC, I know its got a better program and higher ranks academically speaking, but I think its location has less advantage. Also, I feel like UNC's program has less "freedom" than Columbia's in the sense that it's got such a rigorous program that if I go there, I probably should be determined in biostatistics. Not that I don't, but I feel like going to Columbia and NYC can give me more leeway if I want to explore something else. Please help if you have any suggestions! I appreciate any replies!
  17. Hi all, I have received fully funded (and relatively comparable in $$$) admission offers to the UNC Biostatistics PhD program, Colorado Biostatistics PhD program, and University of Michigan M.S. program. I'm having a tough time discerning differences between the programs and would appreciate comments on the strengths, weaknesses, and possible reasons to favor each program. I'm currently having a hard time deciding between the three, but I will choose to attend one of the listed programs. I don't necessarily have a particular research interest, but I think my end goal is to get an industry job focused more in data science. This might play into picking PhD vs. masters or vice versa, but I'm not sure. I'm definitely looking for a collaborative environment, a good place to live, and a school that has strong job placement outcomes (isn't that the goal of this anyway?). From what I know, UNC and Michigan are ranked 4 & 5 behind Harvard/Hopkins/Washington so they're definitely more well-regarded in the field. Colorado is most intriguing due to the location in the Denver area with mountains close-by and their laidback community. I've had a chance to visit both UNC and Colorado, but my campus visit to UM was cancelled due to the coronavirus. I appreciate any insight that can be given on the three programs to help me with my decision!
  18. I am an International student completing Master's in an US institute. I am applying for Ph.D. programs in Biostatistics for Fall 2020. I have a good GPA, industrial and research experience and strong LORs. My main concern is my low GRE score and that I don't have any publications. I will be publishing my Master's thesis but not before I complete the applications. Undergrad Institution: International, one of the top universities, good reputation Major: Statistics GPA: 72% (converted using WES - 3.58 GPA) Grad Institution: Top 100 in USA Degree: MS. Applied Statistics 50% scholarship GPA: 3.89/4.0 Student: International, female Courses: Courses (Sem I, II, III and IV): Fundamentals of Statistical Theory (A), Regression Analysis (A), Statistical Software – R and SAS (A), Design of Experiments (A), Predictive Analytics (B+), Design & Analysis of Clinical Trials (A), Categorical Data Analysis (A), Non-parametric Statistics and Bootstrapping (A -). GRE: 160 Q, 150 V, 3.5 AW, scores are 3 years old TOEFL: 104 Research/Work Experience: 3 years as a Data Analyst in a global Fortune 500 Market research company (native country), during Masters in USA - 2 and half years as a Teaching Assistant with 6 professors, 1 year as Research Assistant with 2 professors, 6 months with a startup as a Statistical Analyst Intern. Currently working as a Clinical Research Assistant within an Analysis unit at a Medical Center of a reputed University. Judge and Mentor for a Datathon arranged for Undergrad students. Have attended a conference in 2019. Both events were associated with American Statistical Association. Two Awards of Excellence when I worked as Data Analyst before Master's. Won Best Teaching Assistant Award as well. Expecting strong Letters of Recommendation. Applying to: University of Rochester Ph.D. in Statistics - concentration in Bioinformatics & Computational Biology University of Maryland - Ph.D. in Statistics - Biostatistics and Bioinformatics concentration University of Buffalo - Ph.D. in Biostatistics University of California, Riverside - Ph.D. in Applied Statistics University of California, Davis - Ph.D. in Biostatistics Penn State - Ph.D. in Biostatistics University of Texas, Dallas Is my choice of Universities appropriate with my profile? Am I aiming too low considering my work experience, research experience and GPA. Which of the above Universities conduct an interview before giving an admit? Please suggest some top universities which might be a good fit with my profile.
  19. Hey all! I'm looking for advice on where to apply, and an idea of where I'd get into for Fall 2020. I’m looking for schools that also have a PhD program in case I decide to keep going after Master's. I know my grades are not the highest and my GRE isn’t the best either, but I’m hoping I still have a chance. Thanks for your help! Undergrad Institution: Big state school Major(s): Statistics & Math Minor(s): n/a GPA: 3.758 Type of Student: Domestic white female GRE General Test: Q: 159 (70%) V: 153 (60%) W: 4.5 (81%) (Taking again soon, hoping to bring Q to 80%) GRE Subject Test in Mathematics: M: N/a TOEFL Score: N/a Programs Applying: MS in Biostatistics Research Experience: Did a Summer institute in biostatistics (SIBS) Program Awards/Honors/Recognitions: STEM Scholarship, deans list (all semesters but 1), university scholarship, math honor society, scholars program Pertinent Activities or Jobs: Math grader Letters of Recommendation: Professor for two of my stat courses (knows me well), instructor from SIBS (worked on research project together), mentor from STEM scholarship (knows me extremely well, but not in stat). Math/Statistics Grades: Calc I (AP), Calc II (B+), Vector Calc (A), Statistical Methods I and II (A, A), Linear Algebra (B+), Probability (B), Math Stat (B), Intro to Experimental Design (A), Transition to Adv. Math (A), Vector Analysis (A), Algebraic Structures (C) Currently taking: Theory of Statistical Inference, Computing in Statistics, Big Data Analytics, Analysis, and Ordinary Differential Equations (Also have 2 transfer courses in biostat from SIBS program both with A's) Any Miscellaneous Points that Might Help: Graduating a year early, almost all math and stat classes are 500-level with lots of theory Applying to Where: Duke Colorado - Denver UNC Boston (MS or MA) Emory Tulane Brown Probably some other (pls help)
  20. I am in the process of applying to Masters in Biostatistics programs and would like some application advice/profile evaluation: Undergrad Institution: one of the UC school (top 50) Major: pharmacological chemistry GPA: 3.265 GRE: First attempt: Q: 160, V: 163, W: 4; plan to retake it next month to improve math score. Relevant Courses: Calculus 1 (A), Calculus 2 (B-), Vector Calculus 3(B+), Multi-variable Calculus (A), Linear Algebra(B), Introduction to Probability (B-), Intro Statistics (B), Mathematical Proofs (C), Introduction to Analysis (A) On-going: Applied linear algebra, Intro to Numerical Analysis, Intro to Computational Stat Skills: know some basics of R, Python and Matlab Research Experience: working for a bio lab on one year, doing basic wet lab work (pcr, staining, cell culture, mouse colony). Went to the other bio lab in school, stayed until now. Working on pretty much the same thing, without much related to biostatistics (data analysis or computation). Letters of recommendation: - School research Lab (biology-focus on neuro- degenerative disease) PI - strong - School research Lab PI(biology-focus on prion disease) - strong - School research Lab (biology-focus on prion disease) post-doc - strong Concerns: I had some bad grades in math courses and my quan section of the GRE was not that strong. But I might be able to improve the GRE quan in next time when I am taking it. Also my research experiences are not that related to biostatistics, but focus more on the biology aspects; have no papers or presentations, only participated in a small project. I am applying to a lot of schools because I am afraid I will not get into any because of my low GPA. Should I add one or more lower ranking school to my list? Schools: University of Florida University of North Carolina University of Minnesota Emory University Brown University University of California, Los Angeles University of California, San Diego University of California, Davis University of Texas Health science center at Houston Yale Rutgers University University of Texas MD Anderson Tulane University Washington University in St. Louis Thanks in advance for your help!
  21. Hi everyone, I hope you're doing well! So I am a current senior undergrad, applying for PhD programs for Biostatistics for next fall. I was very excited to have been accepted to UNC's Department of Biostatistics, with a full package of 5 years of funding! I wasn't able to get into Michigan's PhD program, but was offered a funded fast-track masters (and I heard that usually any student that wants to move onto the PhD is able to do so). I am leaning toward Michigan because my current interest lies in Statistical Genetics (and I have heard Michigan's statistical genetics program is pretty much top in the nation) and because of some other personal reasons. However, I am set on wanting to pursue a PhD, and I am worried about reapplying after the Master's. Please let me know what you think about this dilemma, and whether or not you think taking the funded Master's offer rather than a PhD would be a harmful decision for someone who does, in fact, intend to get the PhD. Thank you!
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