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Found 147 results

  1. 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!
  2. 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!
  3. What do you guys think? The programs are close in terms of ranking. Both offered full fund. I had no connection with a specific professor in both places, because I wanted to keep my options open. I would appreciate your input on this.
  4. Undergrad institution: big U.S. state school with decent math department Majors: Double Degree with BS in Math and BA in Econ GPA: 4.0 / 4.0 (both major and overall) Type of student: International (White male) Courses taken: Math: Basic: Calc I - III (A/A/A), Linear Algebra (A), Ordinary Differential Equations (A) Advanced: Abstract Linear Algebra (A), Abstract Algebra I - II (A/A), Mathematical Analysis I - II (A/A), Numerical Analysis (A), Intro to Partial Differential Equations (A), General Topology (A) Stats: Probability and Statistics (A), Mathematical Statistics (A), Stochastic Processes (graduate credit: A) Programming: College courses: CS Java course (A), CS Python course (A) Coursera online courses: C++ course, Algorithms and Data Structures, Machine Learning: Supervised/Unsupervised + intro to Hadoop/MapReduce/Spark Courses will take: Real Analysis (graduate credit), Mathematical Economics (graduate credit), Calculus of Variations (graduate credit), Differential Geometry Recommenders: Math professors, well-known in their respective areas, with whom I have good personal contacts Research experience: This is my weakest point, since I have not been able to do any particularly notable research as an undergrad. I applied and got accepted to REU this summer but could not attend due to family reasons. At the department level, I tried doing research with one of my professors in statistics, but he left soon after, so the paper was never finished. Work experience: Financial Analyst Intern (Summer 2018), Data Manager Intern (Summer 2019) Awards: Economics and Math Department Scholarships, President's Honor Roll for every semester GRE General: 157 (V), 167 (Q), 4.5 (AWA) GRE Math: Taking this fall School list: Need advice on where to apply. One of my friends suggested that I should apply to schools where my professors got their PhD's. But other than that I don't even know which tier to aim. My biggest concern is the lack of research experience. Masters is not an option, since I just can't afford it right now + I am on my national government grant.
  5. I received offers from the Dalla Lana School of Public Health at U of T, Waterloo and Mcgill for their MSc Biostatistics programs. There does not appear to be much information out there on biostatistic programs in Canada. Does anyone have any insight on the pros and cons of these three programs? How are they viewed in the biostatistics field? I am not completely decided on a a PhD yet.
  6. Hello everyone, I am a senior who will be applying to PhD programs in biostatistics. I have posted here before about statistics, but my list of schools was very different and after looking into biostatistics programs at the suggestion of a couple people here, I found that they actually do research which I find very interesting. Undergraduate Institution: Top 20 among public universities; big, well-known state school; top 20 mathematics department. Majors: Pure mathematics Minor: Computer Science GPA: 3.73/4.0 Major GPA: 3.83/4.0 Type of Student: Domestic Asian Male Courses taken: Math: Calc 3 (A) Intro Linear Algebra (A) Honors Intro to Proofs (B) Mathematical Probability (A) Ordinary Differential Equations (A) Intro Complex Analysis (A) Elementary PDE (B+) Honors Linear Algebra (A) Honors Intro Real Analysis I (A) Honors Abstract Algebra I (C+) Intro Real Analysis II (B+) Mathematical Statistics (A) Graduate Ordinary Differential Equations (A) CS: Intro to CS (A) Data Structures (B) Computer Architecture & Design (B) Algorithms (A) Currently taking: Graduate Real Analysis I (measure theory) (Going very well so far), Graduate Regression Analysis, Topology. Will take in Spring: Graduate Time Series, Independent Study (Geometric Measure Theory), Finite Automata, Graduate Systems Biology. GRE General Test: 164V (94%)/164Q (84%)/4.5 (81%). Concern: Weak Q score. GRE Subject Math: Not taking. Research Experience: 1 semester of exploratory research on the mathematics of cancer dynamics with professor I had for diffeq (ended after a semester since professor left uni, but we had a great connection and many great discussions). 1 mathematical biology REU; will likely result in eventual publication in a biology journal, however this isn't set in stone yet. Will be giving a talk at 2020 Joint Math Meetings on this research. From 2019-2020, working as research assistant with an engineering professor on quantum computing applications to environmental modeling/optimization problems. Working Experience: 3 semesters tutoring Calculus I, II, Intro Linear Algebra, Mathematical Probability (simultaneously). (Will continue this through graduation) 3 semesters grading for Mathematical Probability, Advanced Linear Algebra, Mathematical Statistics (one course for each of the 3 semesters). Letters of Recommendation: One from the exploratory research on cancer dynamics (also was differential equations prof), one from REU advisor, one from measure theory professor who taught me mathematical statistics as well, one from Honors Intro Real Analysis I professor, and one from an instructor who has known me closely for a couple of years. All letters should be strong Applied to the following for PhD in Biostatistics: Harvard JHU Yale Brown Columbia BU UPenn I'd like honest opinions on what you believe are my chances at these schools. My concerns are about the inconsistent grades and low GRE. Thank you so much for taking the time to read! Looking forward to your thoughts.
  7. I am an international female student from Palestine. I am interested in pursuing biostatistics PhD for Fall 2020 in USA. I have a high GPA and I'm the top of my class in both bachelor and master studies, but my research/work experience is not very impressive. I am confident that my LORs are very strong. I would really appreciate your thoughts about my chances in acceptance to graduate schools in the US this coming year. Undergrad Institution: TOP 5 Local University Major: Math GPA: 97% Grad Institution: TOP 2 University in Jordan Degree: MS in Math, (Thesis in statistics, using Monte Carlo simulations in SAS), with Scholarship from DAAD GPA: 4.26 (out of 4.3) Student: International, female Courses: BS/ Calculus (I, II, III), Principles of Mathematics, Linear Algebra (I, II), Principles of Statistics, Discrete Mathematics, Ordinary Differential Equations (I, II), Numerical Analysis, Abstract Algebra (I, II), Vector Analysis, Probability, Special Functions, Real Analysis (I, II), Mathematical Statistics, Functional Analysis, Number Theory, Topology, Complex Analysis, Partial Differential Equations, Selected Topics in Mathematics (Fuzzy Set Theory). [ALL Straight A+] MS/ Advanced Methods of Applied Math, Abstract Algebra, Real Analysis, Numerical Analysis, Probability Theory, Linear Programming, Special Topics in Math (Fractional Calculus). [ALL Straight A+, too] GRE: 167 Q, 156 V, 3.0 AW TOEFL: test date Dec 7 Research/Work Experience: Two research projects with my adviser, but the papers are still to be published soon. I've just started my first job as a lecturer. I am teaching three undergraduate math courses at a local university (Linear Algebra, Numerical Analysis + Matlab Application, Complex Analysis). Applying to: University of Florida Boston University Emory University University of Pittsburgh University of Kentucky Virginia Commonwealth University University of Illinois at Chicago Do you have any suggestions for better school matches ? Thank you in advance!
  8. Hi everybody, I'm currently a senior pursuing biostatistics PhD programs. Now, I'm in a unique situation. I am currently only sixteen years old, and will be by the time I graduate - 17 by Fall 2020. I am part of a program at a university that has allowed me to skip high school (no diploma) and obtain my bachelor's degree right away. I currently don't know whether I should be playing this to my advantage, or if it will be detrimental in my application. Undergraduate Institution: Unranked small private institution Majors: Mathematics, Biochemistry (double B.S.) GPA: 3.97/4.0 (cumulative) Type of Student: Asian female Programs Applying: Biostatistics PhD Relevant Courses: Math: Linear Algebra (3 credits) (A) Calculus I/II (A,A) Multivariable Calculus I/II (A,A-) Numerical Analysis (A-) Discrete Mathematics (A) Ordinary Differential Equations (A) Real Analysis (A) Statistics (A) Physics I/II (A, A) Biochemistry (relevant?): General Chemistry I/II (A, A) General Biology I (A) Organic Chemistry I/II (A, A-) Biochemistry I/II (A, A) Analytical Chemistry (A) Cell Biology (A) Microbiology (A) Genetics (A) GRE General: 170Q/168V/5.5W Research Experience: Biochemistry senior thesis in immunology/biochemistry, presented at ASBMB conference and won award at school's Capstone Mathematics senior thesis in CT scanning - radiology, implementing Python for numerical computations, current work in progress Work Experience: Tutor for mathematics for one semester TA for multivariable calculus I, Genetics, one semester each Intern at Truway Bio in Suzhou, China for pharmaceutical-related research Volunteer EMT in local community for 1 year Letters of Recommendation: One from advisor for biochemistry thesis One from head of math department, took half of my math classes with him, including real analysis One from biology professor with whom I've taken many classes with and have a close relationship with My recommendation letters should be quite strong, I come from a very small university where letters are often the strongest part of an application. Schools I'm Applying to: JHU Stanford UCLA UWash Yale Harvard UPenn MSU Vanderbilt Columbia UC Davis UMichigan Ohio State Duke UC Berkeley UIllinois-Chicago My main problems with my application at the moment are the fact that I don't have much of a computer science background, but I am trying to bridge that the best I can by implementing Python into my current thesis. In addition, I come from a very small unranked institution, so I don't know how much of a benefit my GPA provides to my application. Will my age be a good or a detrimental factor within my application? Finally, I've picked a list of schools with many high-ranked Ivies or competitive schools, with three main safeties (OSU, MSU, UIC). It is really difficult for me to judge the competitiveness of my application at the current moment, so I'm not sure if my safety schools are even "safe" for me. I am trying to make my statement of purpose as great as possible. Thanks for any advice.
  9. I am very interested in pursuing biostatistics PhD for this coming year (2020). I realize I have a low gpa score but have a strong research record/work experience to compensate. I would really appreciate honest feedback about my chances for graduate school this coming year given that I can get very strong LORs. Undergrad Institution: Top 10 LAC Major: Computer Science and Statistics GPA: 3.56 Student: Domestic POC, female Courses: Intro to Stat Modeling (A-), Intro Computer Science I (B+), Multivariable Calculus (A-), Intermediate Statistics (A-), Intro Computer Science II (B+), Linear Algebra (B-), Probability (B), Spatial Statistics (B+), Data Structures and Algorithms I (A-), Databases (A-), Theoretical Statistics (B+), Computer Systems (B+), Networks & Cryptography (A+), Data Structures and Algorithms II (B), Advanced Data Analysis (B+), Machine Learning (A-), Mobile Computing (B+). GRE: 161Q, 161 V, 4.5 Writing Applying to: QBS PhD Program at Dartmouth Ohio State University Drexel University George Washington University Rutgers Boston University UMASS University of Pittsburg UNC Chapel Hill Virginia Commonwealth University University of Maryland Vanderbilt University Emory University Brown University University of Pennsylvania
  10. Hello! Could you please evaluate my profile? I'm going to apply for fall 2020 MS Biostatistics. I have MPH from Russian University with GPA 3.6 GRE(unofficial scores): Q:160 /V 157 (Should I retake it?) TOEFL 108 Math Background: At the moment of application I will have only Calculus 1,2 (A). I'm going to get Linear Algebra also Research background: I focused primarily in Epidemiology field (worked on spread of resistance bacteria and resistance genes). I have 4 publications, one of them in Genome Announcements journal. What do you think my chances of admission are? Thank you!
  11. Hi all, With schools starting to open up their applications in the next 2-3 months, I've been wondering what schools I should aiming for. I want to get into healthcare using math/stats so most of the programs I was considering are bio-statistics or operations research with a focus on health systems. I have a pretty good academic profile but some concerns I have are that 1) my undergrad has zero prestige; 2) my GRE score seems a little low for the top programs; 3) I have no direct healthcare experience (currently work in unrelated economic research). Below are my stats but I'm not sure how competitive my profile would be. Obviously, I would love to get into top schools like Harvard Biostats or Stanford MS&E, but I have no idea whether my GPA/GRE is really enough. Given my profile below, what type of schools should I be aiming for? Am I being delusional for thinking that I should even apply to a place like Harvard? What "tiers" should I be aiming for? Any help would be greatly appreciated. Thanks so much!!! Undergraduate Institution: CUNY - Hunter College Major(s): Math GPA: 4.00/4.00 Type of Student: Domestic Asian Male GRE General: 166Q (90%); 164V (94%); 4.5 AWA (82%) Programs Applying: MS Biostatistics, Statistics, and Operations Research (health systems focus) Letters of Recommendation: 1 from my mathematical statistics class professor; 1 from my epidemiology class; don't know my third letter writer yet. Relevant Coursework: Calculus I, II, III; Linear Algebra; Ordinary Differential Equations; Vector Calculus; Discrete math; Real Analysis I ; Complex Analysis; Abstract Algebra I ; Stochastic Processes; Numerical Methods & Analysis; Mathematical Statistics; Intro to Probability Theory; Intro to Epidemiology Skills: R, Stata, Python, SQL (I have an active Github portfolio with all my code) Relevant Research: None, but I'm not aiming for a PhD Work Experience: Software Engineer for 2.5 years, and now currently doing data analysis doing economics research
  12. Hello, everyone! I'm a rising senior thay has just recently made the decision to pursue a MS in biostatistics rather than the original path I've been working at for the past couple years (PhD in Clinical Psychology). Clearly, this is a major shift in my plans so I have been attempting to familiarize myself with the field and what credentials I'll need in order to be admitted into such a program. The underlying question of this post: do I even have a chance of admission for Fall 2019 or I should apply for the following year? Undergraduate Institution: Large Public University (top 60 in national universities, top 20 in public universities) Major(s): Psychological Sciences, BS GPA: 3.92/4.0 (I had an "off" semester) Type of Student: Domestic URM Female GRE General Test: (TBD, expecting 165 Q and V) Programs Applying: MS Biostatistics Research Experience: 2 years as a research assistant for five laboratories in different areas of psychology (not all at once, currently in two), 1 year as a project manager for a large meta-analysis in clinical psychology, 1/2 year developing a senior's thesis pertaining to pathological personality under the guidance of a mentor as part of a research-focused honors program for a small cohort of PSY students (program will last until graduation, culminating in a potential publication and poster presentations), just started in a lab this summer in the area of quantitative methods lab and clinical psychology (I'm their only research assistant so I'm getting the opportunity for meaningful involvement in projects involving advanced quantitative methods) Activities or Jobs: (N/A for work in statistics but to give more background) 1 year as a mental health technician for a group home for adults with severe mental illness, 1 year as president of mental health advocacy organization, 1 year as crisis counselor for Crisis Text Line Letters of Recommendation: research mentor (strong), supervisor for meta-analysis (strong), quantiative methods lab supervisor (strong) Relevant Coursework: Psychology - Introduction to Statistics in Psychology, Research Methods in Psychology, Understanding and Analyzing Experiments (ANOVA and Research Design), Introduction to Bayesian Statistics, Honors Research Seminar I (all As) Math & Statistics: Calculus I (AP credit) Honors and Awards: Phi Beta Kappa, Office of Undergraduate Research Scholar ($1000 scholarship program), Psychological Sciences Research Focused Honors Student Skills: programming in R (developing skill under the guidance of the quantitative methods lab I'm in, hope to become proficient) Plan of Action: Fall - Calculus II Spring - Calculus III, Linear Algebra, Statistics Summer (considering) - Real Analysis, ODE, Probability Questions: 1. Unfortunately, I'm currently in a position of playing catch up on prerequisite coursework. I have a plan to take the classes I need, but my grades will of course not be finalized in time for the many programs that have application deadlines in early December. My concern is that the programs will have nothing to go on as far as my ability to take rigorous math courses and will thus not be able to seriously consider me for admission. For the programs that have early spring deadlines, they will only be able to see my grade in Calculus II. This is the primary reason I'm asking if I even have a chance of admission. Thoughts? 2. If I do have a chance, which range of programs should I be applying to? My worry is that many programs I've been looking into are out of reach given my background. 3. If I likely don't have a chance of admission, what kind of jobs can I pursue in a gap year that will be benificial on my application for the following year? 4. I'm truly trying to set myself up for success this next year, but I also have a lot on my plate given commitments I made prior to this change in post-graduation plans. From what I've gathered, grades and letters of recommendation are the strongest selling points on an application. Therefore, I've been thinking of stepping down from the research focused honors program in order to give myself the chance to study more for the math classes I need to excel in (I would have more time for studying without the significant amount of credit hours from research seminars, individual study, and meetings that will take up my schedule in the fall and spring). My concern is that I would me removing perhaps one of the few pulls, if there even are any, to my application. Is this experience even something admission committees would look at favorably to warrant the added stress? I don't want to stretch myself to thin and not perform well in my courses. I know this was long so I'm grateful for you sticking with me. Any and all feedback is appreciated. Thank you!
  13. Hello everyone, I transferred from one mediocre college in China to Cornell last year and switched my major from Biology into Statistics. I am now a rising senior and not sure about if my profile is strong enough to apply for PhD/MA programs in Biostatistics and /or Statistics in 2020 fall. I didn't know before math capacity is one of the most important factors to be considered in application so the math courses I took was very limited. My advisor gave me some positive feedback and encouraged me to apply for some statistics PhD programs but I am still worried about my background. Undergraduate Institution: China Agricultural University (transferred) ----> Cornell Majors: Biological Sciences (previously) ----> Biometry and Statistics (Now) GPA: 3.84/4.00 (China) --> 3.92/4.30 (Cornell, it is also my major GPA) Type of Student: International (Asian female) Courses taken: In China: (doing good in Bio/Chem but not prominent in my math grades) Stat: Probability Theory and Mathematical Statistics(A-), Linear Algebra (A-) Math: Advanced Math A-I (A-, equivalent to Calculus I and II), Advanced Math A-II (B+, equivalent to Multi-variable Calculus and Differential Equation) CS: Intro to Information and Computational Thinking (Using Python, A-) At Cornell: Stat: Probability Model and Inference (A+), Biological Statistics (A), Linear Model with Matrices (A+, graduate level), Theory of Statistics (A+), Categorical Data Analysis (B+), Statistical Computing (A+) Math: Intro to Real Analysis (A), Numerical Analysis: Solving Linear and Non-linear System (B) CS: Object-Oriented Programming and Data Structure (Using Java, A-) Courses will take this fall: Math: Measure theory (graduate level), Combinatorics, Linear Algebra (upper division, proof-based) CS: Machine Learning for Intelligent System, Data Structure and Functional Programming GRE General Test: Q: 169 ; V: 159 (taken 5 days ago, W scores not released yet) GRE Subject Math: will take this September Research Experience: Noise Reduction for Experimental Time-domain Signals (September 2018-Present, National Biomedical Center for Advanced ESR Technology at Cornell); Machine learning in Brain-Computer Interface and Cybersecurity (January-March 2019, A 7-week research authorized by a professor at Berkeley) Quantile Regression Analysis for High Dimensional Data: Right-to-Carry Laws and Violent Crime (this summer, supervised by a well-known professor at Department of Statistics at Cornell) Working Experience: Data Analyst Intern at China Asset Management co. LTD (June 2018) Awards: First-class for Academic Excellence (in China), First Prize for Data Castle (a nationwide machine learning competition in China), One year of Dean's List (Cornell) Letters of Recommendation: Two from the professors who supervised my research, one from my academic advisor (also get 2 A+ in his classes) School List: Berkeley Biostats MA (the one with funding) is my dream program. I heard it is more relevant to data science rather than traditional biostatistics but is as competitive as PhD program. Some PhD programs I am considering would be: UCLA biostats, UC-Davis stats, UCSD biostats (I like California), Emory Biostats, Cornell Stats My advisor also encourges me to apply for some good PhD biostats program at JHU, UNC, NCSU, Duke, Texas A&M, UW and Umich (I think it is very tough based on my current profile). I haven't decided yet if I should apply for those programs in 20 Fall or 21 Fall. I know if I apply in 2021, I can take more math courses, even at PhD levels, and do more non-trivial research. But I am nor sure if it is worthwhile to wait for one more year. I cannot make up my mind. Thank you in advance for your time and advice!
  14. Undergrad Institution: Private liberal arts university in Texas Major(s): Biology GPA: 3.37 Type of Student: Domestic, URM, Female GRE General Test: Have not taken yet Programs Applying: Masters in Statistics or Biostatistics Research Experience: Led my own research study on vertebrate reproductive physiology, never published but data collected has been used on several published papers. Awards/Honors/Recognitions: 3 grants awarded from three different academic societies, presented at 11 conferences (2 awards), published in an undergraduate research journal (JSOURCE). Pertinent Activities or Jobs: Worked in a hospital pathology lab for 3 years after graduation because I thought I wanted to be a physician (hated it) and am now working in accounting and business. Do some light analysis using Power BI and excel for company. Letters of Recommendation: Going to ask my former Statistics prof who is also the dean of department, my former research adviser and one of the pathologists I worked with at hospital. Math/Statistics Grades: Calculus (B) Stats (B+). Plan on taking remaining pre-reqs. Have already signed up for Calc II and intro to programming. Any Miscellaneous Points that Might Help: Do a lot of volunteering. Am teaching my self to code leading up to applying. Concerns!- I am new to this field and want to know if I am a good candidate (since my GPA is not awesome) before I totally invest myself in taking all the remaining math prerequisites I need to apply. I have not idea where to find good applicant acceptance stats and have no idea what schools would be a good fit for me. Also, will taking the following courses be sufficient to apply (Calc II, Calc III, linear algebra and intro to programming)? I took a lot of chemistry and physics in college so I think I have a good math foundation. If I transition into working as a business analyst will this be helpful/ look good on application?
  15. I will be applying to master's programs (NOT PhD) this upcoming cycle, and I would like to study/research causal inference. I've noticed that this topic seems to be more commonly found in biostatistics departments than a "plain" statistics department. However, I'm not that interested in working with biomedical/genomic/cancer data. It's certainly not a deal breaker, but I do not want to silo myself to only those problems. So, is it still worth applying to biostatistics programs even though I'm more interested in the statistics/math than health/life sciences? Or should i stay away from them? Thanks!
  16. Hi! I was wondering if there was anyone who completed or is currently attending Northwestern in the MS Biostatistics program? I am leaning towards attending this school but also can't really find any information from students about the program. I hope to work in pharma after graduation or something similar to that - I was just worried since the classes seem to point more towards clinical research. thank you!
  17. Hello guys, I was fortunate to receive offers from Johns Hopkins PhD in Biostatistics and Columbia PhD in Statistics. May I have some sincere opinions on school choices? At this stage, I'm open to both industry and academia opportunities, maybe leaning towards academia. Regarding research interests, again I'm open. My slight concern is that biostatistics may be a bit narrow to land a job? I'm really not sure about this. Thank you very much!
  18. Hi everyone, I have applied to the following schools. 1) OSU (PhD Biostat) 2) MSU (Ph.D. Stat) 3) Kentucky (Ph.D. Stat) 4) Dallas (Ph.D. Stat) How many of you heard back from these schools about funding? Thank You.
  19. Hi everyone! I have been admitted to the Biostat MS program at Hopkins and Yale. My goal is to pursue a PhD in Biostat after MS and eventually go into industry. I don't have a strong math background (took calculus, linear algebra, numerical analysis, prob, stats, and a few applied stats courses in undergrad) so I hope to take a few math courses during MS. I'm leaning towards JHU for many reasons (tier1 in biostat of course), but Yale is such a prestigious school (despite its lower rank in biostat) that I'd like to hear your thoughts about its biostat program. These are the reasons why I currently think that JHU might suit me better: 1. Smaller incoming class (JHU < 10 MS, Yale 20~25 MS) 2. TA & RA required in 2nd yr if pass the 75% scholarship exam (which from what I've heard, isn't hard to pass) while Yale doesn't guarantee these opportunities 3. More flexibility in coursework I think I'm able to take two or three math courses as electives in the 1st yr if I attend JHU. With Yale it seems hard to squeeze in a few math courses due to its relatively stringent degree requirements. Also, I think I'd have more research opportunities and closer interaction with faculty at JHU. If I've missed out anything about Yale that's better than JHU, please share your thoughts! Thank you!
  20. I've been accepted to UTHealth for a PhD in biostatistics and UMD for PhD in mathematical statistics. Does anyone have any experience with or knowledge about these 2 programs that could push me one way or another? Thank you so much!
  21. 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
  22. Hello All ! I'm an international student who just finished a Master's degree in Biostatistics. I was admitted to the UNC Chapel Hill Biostats program and am waiting to hear about financial aiding. According to posts here from previous years, I have noticed that some students did not hear back about the funding even until late March. I was wondering if this is the case, and also if you know any previous students or accepted students who declined have been offered their funding at some point before accepting the offer. I am so glad and thankful to be admitted, but for a grad student, funding is such a crucial part, as I believe most of you already know and agree. I would love if any of you could share any information about this. Thanks!
  23. I just got an email from Johns Hopkins asking when I am available for a phone interview. Has anyone done this interview yet? What kinds of questions do they ask? What should I do to prepare? Interview's make me nervous so any input would be greatly appreciated.
  24. Hey guys! I saw lots of MPH forums but not one specific for epidemiology. As far as I know UofT is the only Ontario epi program that's an MPH rather than MSc, so I thought I'd make us our own discussion. I'm a fourth year Biomedical Science undergrad from University of Guelph, applying for epi programs next year. I included the schools & statuses below. My stats are a 2 year GPA of about ~3.71, experience in academic epidemiology (undergraduate thesis in population medicine), work experience in public health epi (position was health data analyst), and good reference letters (coordinator of Guelph's MPH program and a medical officer of health). However, I haven't been published yet and haven't presented at any major conferences, which I'm worried about. Toronto's MPH (epi stream) is my top choice, but judging from last year's forums I'm not expecting to hear until late april or early may, which sucks Any other epi applicants in here?? I'm getting antsy waiting to hear back. Good luck everyone! Toronto MPH Epidemiology: Under Review Western MSc Epidemiology and Biostatistics: had interview on Feb 29th, still waiting to hear back but I'm not optimistic (they wanted me to have OGS funding...) Ottawa MSc Epidemiology: Under Review Guelph MSc Epidemiology: my prof has agreed to work with me again
  25. Undergrad/grad Institution: large public university Major: Biology-Cellular/Physiology Track (BS), Mathematics (BA) Minors: Global Public Health GPA: 3.82 (Biology: 3.58, Math 3.93) Type of Student: Domestic Relevant Courses: Transfer from HS (Dual Credit): Computer Science, Advanced Computational Problem Solving, Calculus I, Calculus II, Bioinformatics, Molecular & Cellular Biology, Genetics Undergrad Biostatistics (A), Adv Biostatistics* (A), Adv Biostatistics II* (A), Intro to Biostatistics - SIBS* (A), Calculus III (A+), Linear Algebra (A), Intro to Higher Math (A-), Probability (A), Real Analysis (A); numerous biology courses, chemistry courses (through organic II), and public health courses *graduate level, used R and/or SAS Courses in progress: Modeling qPCR Curves (independent study/undergraduate research with biostatistics professor, R programming), Discrete Math, Math Statistics GRE: 166V, 164Q, 3.5W (will be retaking now that ETS confirmed accommodations) Programs Applying: Biostatistics PhD Research Experience: Bioinformatics (Past): annotated a section of a virus genome – results in GenBank research project on virus distribution – used Mathematica, resulted in 2 poster presentations Current: qPCR curve modeling - using R, modeling curve in order to predict absolute starting concentration of template DNA from raw fluorescence values Teaching Experience: Tutor for microbiology and biostatistics at university tutoring center Pertinent Activities or Jobs: ASA member - attended JSM for the last two years Recommendation Letters: Will be asking this week: biostats professor (with whom I am currently working on research), director of the biostats summer program I attended (who offered to write one), calculus 3 professor Coding Experience: R, Mathematica, Bash, SAS, Java, dabbling in others Other: LaTeX (I typeset all of my math homework), virtual machines, porting Windows software to Unix systems Definitely Applying to: Emory University (SIBS) grad program at home institution I am particularly wondering about what "tiers" of programs I should apply to (which programs would be "safeties", reaches, etc.) and whether there are any programs that would be interested in applicants with extensive biology background. Any recommendations regarding my profile are greatly appreciated!
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