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  1. Hi all, Here is the link to a server for Statistics MS applicants : https://discord.gg/54AXtbuQ9F Feel free to join and hear from others on decisions, grad school advice, and more!
  2. So, I've recently been accepted to a Public school for MS Biostatistics. I've not been contacted by Department regarding financial aid so I'm assuming I'm not getting any since it is rare for MS applicants. I'm an international student and this is my second masters( I have a master's in Statistics/ I wasn't eligible for graduate program due to three year undergraduate course). So, I need some kind of financial aid. I've read on some forums that RA positions are under professors and one should contact faculty before/ after acceptance. Is this a commonly followed method in Biostatistics programs.Should I contact all the relevant faculty or talk to graduate students first( through LinkedIn) and then approach. I've experience as RA and tbh considering the subjects I've studied, I can also be a TA( I've good speaking TOEFL score). Any kind of suggestions are very much appreciated. Thank you
  3. MS Biostatistics student looking for advice! Undergrad: top 30 LACs -- Statistics, Data Science (summa) Grad: MS Biostatistics Ivy League (not Harvard) Type of Student: International female GRE General Test: Q:170 V: 160 W: 5.0 Applying to: Biostatistics PhD Research Experience: Right now, projects on survival analysis (both applied and methodological) with a senior researcher -- not sure about potential publications! During undergrads, did summer research at a well-known cancer hospital and an institute for applied maths, and 2 year research at school. Letters of Recommendation: Two faculties with whom I'm doing/planning to do research with at grad school; one might be from profs teaching classes or undergrad studies who knows me very well Grad coursework: Same core coursework as PhD students -- using Casella and Berger for Probability and Inference. Have the option of taking the qualifying exam after 1st year (this coming June) with PhD students Publications: one conference paper on machine learning/applied maths from undergrads summer research. one coming up on using nonparametric tests for an applied project. Co 1st author for the former. Plan to apply: UPenn, BU, Columbia, Yale and maybe Harvard -- I want to stay in the northeast, New England preferably Can someone give me advice on the my school list? After my PhD I might go back to Asia where people care a lot about prestige and brand name of the school, rather than dissertation advisors. I realize this list is ambitious and would appreciate if someone can recommend some "safe" schools. Many thanks!
  4. Undergrad Institution: California Public University (Top Cal State) Major(s): Economics - Quantitative Analysis Minor(s): Statistics GPA: 3.958 Type of Student: Domestic Asian Female GRE General Test: (Have not taken yet) Programs Applying: Biostatistics/ Statistics PhD or Master’s Programs Research Interests: I am interested in Biostatistics research, possibly clinical research Research Experience: Do not have any professional research experience but will be completing a senior project which is a research project. I also was on a chem research team my freshman year, involved with the analysis part. Awards/Honors/Recognitions: Dean’s List, Top Biochemistry student freshman year Pertinent Activities or Jobs: Intern at KPMG as Risk Advisory Intern, Intern at Government Accountability Office, Intern at a startup. President of an academic club on campus. Letters of Recommendation: Manager at GAO, Stats and Econ Professor Related Coursework: Calc I-III (A), Linear Algebra (A-), Stats I-II (A), Statistical Computing in R (A), Programming for Econ (A), Applied Multivariate Statistics (A), Econometrics and Advanced Econometrics (A) , Marketing Analytics and Business Intelligence (A), Have also taken Bio/Chem classes (pertinent to Biostats?), Intermediate Microeconomics I-II (A) Future Coursework: Intro to Stats and Probability(calc based), Probability for Economic Decision making, Some more stats classes Applying: UC Denver Biostats, UC Davis (MS, PhD) for Stats and Biostats, U of Michigan (Bridge, PhD), UIUC (MS), UCSB (Masters and PhD), Rice (PhD) Notes: I switched from Biochem to Econ my freshman year. Concerns: Don’t have much research experience, but I have significant work experience as well as leadership roles Have not taken Real Analysis, probably will not be able to this year I want to know where I stand with my background. I know I haven’t taken the most math classes, but for a good amount of schools I pass the prerequisites. Funding is something that is important to me. I also want to know what other programs I should be looking at. I really appreciate any help. Thank you!
  5. Background: International student Female Bachelor's in Statistics with hons: 3.5 gpa( converted from Percentage) from tier 1 public university Masters in Statistics: 9.6 cgpa on a scale of 10 from a tier 2 private university with 10 in calculas, algebra, linear models, Design of Experiments, Biostatistics, multivariate analysis, Demography,Statistical Inference. Research experience: 1.Did a thesis project for final semester applying mathematical model to demographic rates. 2.Worked as a research assistant for 8 months at a government organisation but not very relevant experience or publication from it. I've graduated first in class in my master's program and have been awarded a national scholarship based on academic merit. Currently working as a Statistical analyst. GRE: not taking( applying to programs not requiring GRE. LORs: Three from my professors including the professor who was my project guide. I'm thinking of applying to PhD Biostatistics/ Statistics programs. My whatsoever little research experience is related to Biostatistics and it interests me the most. The programs I've selected so far are among the top 10 programs in Biostatistics Kindly suggest some schools which are not very ambitious and some safety schools for PhD Statistics. Thank you.
  6. Applying for PhD in statistics/biostatistics after working in industry for a few years as a Data Scientist - would appreciate any thoughts, feedback, or advice on programs below given profile/research interests. Undergrad Institution: US Top-5 in Statistics Majors: Statistics, Applied Math GPA: 3.91 Type of Student: International Male Math Courses (All A's): Real Analysis, Complex Analysis, Linear Algebra 1/2, Abstract Algebra, Numerical Analysis, Differential Equations, Calculus 1/2/3, Discrete Math Statistics Courses (All A's): Stochastic Processes, Time Series, Experimental Design, Linear Modelling, Data Science 1/2, Probability Theory, Statistical Computation Computer Science (All A's): Algorithms, Machine Learning, Deep Learning, Databases GRE: 168 Q | 163 V | 5.5 W Research Experience: 2 years in applied statistics (3rd author publication in lower-tier journal - did most of the coding), 1 year in sociology (no publications - mostly database management) Work Experience: 3 years as Data Scientist at large tech company Recommendation Letters: 2 from research advisors (strong letters), 1 from professor with multiple classes and strong performance (mediocre letter) Coding Experience: Python (expert), R (experienced) Research Interests: Causal inference, applications to social sciences (specifically education/public policy), applications to public health policy Programs Considering: UC Berkeley Stats PhD Harvard Stats PhD CMU Stats PhD UCLA Stats PhD UC Santa Barbara Stats PhD Harvard Biostats PhD Penn Biostats PhD Brown Biostats PhD MIT Social & Engineering Systems PhD NYU Data Science PhD Are there programs here which don't sound like a great fit with my interests and profile, or any not here which could be a fit? I recognize my list is a top-heavy, but I'm satisfied at my current industry job and would go back to school only for a relatively well-regarded program, with the end goal of tenure-track professor at a R1.
  7. Hi! I have received admissions to a few MS in Biostat programs, and I narrowed down to UNC and Duke. I am an international student and hope to find a job in the bioindustry in the US after graduation, and I currently have almost no intention of pursuing a PhD in Biostat. In college, I majored in biomed and took an interdisciplinary program on Biostat, which covered the math prerequisites and also Intro to Stat, Intermediate Stat, and some programming courses in R and SAS. The pros and cons of the 2 programs for me are as follows: UNC Pro - Better program reputation - Solid training - Leaves the door open for PhD opportunities - Chapel Hill is a safer area Con - Courses are very rigorous, not sure if a non-stats background like me can handle - Funding is limited so RA positions are competitive, some people end up as volunteers - Most students continue to a PhD degree so not much assistance in finding a job - Unsure of employment rate for non-PhD pursuing people Duke (w/ 2.5k scholarship) Pro - Better school reputation - Many faculties to do paid RA for master's project - Career coaching sessions, heard that employment rate for non-PhD pursuing was nearly 100% - More alumni connection in the industry Con - Unsure of course quality - The discrimination incident What concerns me most about UNC is the course load, I'm afraid I can handle it. Surely, going to Duke would cause less academic pressure, but I still hope to learn useful things to prepare me well for my future career. I wonder whether the program reputation will affect landing a job significantly? Please give me some advice, I'm currently torn between the two, and Duke wants us to reply earlier. I appreciate any reply!
  8. I've received all my admission results for the biostats programs I applied to for Fall '21. I'm trying to decide between Georgetown's MS in Biostats program and Boston University's MS in Applied Biostats program. Is anyone familiar with these programs? Which one has better job prospects? Better overall experience? I would appreciate any input/information about these programs. Thanks!
  9. Hi every one, I am a senior applying for Biostatistics Phd program this cycle (international student, bachelor in America). So far, it has been quiet dissapointing with all rejections, and every single school I applied to admit me to its MS program. I am still waiting for Brown and Rochester, which I received inivation to their recruitment events/ interviews. Regardless, I really appreciate if every one can chime in and help me decide where to go in case I will not get in to any PhD programs. So far, I have gotten into Duke MS (with 20 000 dollars scholarship per year), Emory MSPH (in consideration for scholarship), CMU Computational Biology program, Michigan MS, and Minnesota MS. My top options are Duke, Minnesota, and Michigan, with significant lower tuition after accounting for scholarships. In the case of Michigan, they sent me an email telling me that my application is in active consideration for a tuition waiver and 2800 monthly stipe-end, which is a very good deal if I can get it. My research interest is pretty open right now, but leanng toward causal inference, clinical trials, bioinformatics and imaging. I am not sure if the ranking of each program will impact my future application to PhD. I notice that Michigan has fast-track option, which was mentioned in my acceptance email, but it seems that any one can declare that track. If Michigan does not waive my tuition, it will be my most expensive offer. My cheapest one right now will be Duke then Minnesota. These two programs have a big gap in terms of prestige from what I have researched. Also, I really appreciate it if any one can chime in some insights about Rochester and Brown PhD programs. Both are small programs with very few discussions on gradcafe and other sites. I have been to the interview at Brown and loved the department, and will be attending the Rochester's one this weekend. If am lucky enough to get the PhD from either of these two programs and also get the funded MS from Michigan, is it worth it for me to take the funded MS over these 2 PhD programs? After graduate schools, I am not sure if I want to do academia or industry. All of these programs seem to have solid placement into industry, but Michigan seems to have an upper-hand when it comes to academic placement. Thank you every one for your inputs. It has been a very stressful cycle for me, and I really look forward to hearing from any one!
  10. Hi everyone, I'm a recent B.S. graduate in desperate need of advice for biostatistics graduate school; I would liked to apply this fall (2020) to PhD/ MS. I'm considering biostatistics, as opposed to statistics, because I like how it has a substantive topic (e.g. biology, genetics, public health), that I really desired from my undergrad. I liked theory, but I was disappointed without a constant substantive topic of application. I'm open to both PhD and MS, but for PhD I'm hesitant since I am unsure of whether I'll like the bio/public health area, but its the best options for my goal: research. For masters, the idea of more loans is scary, but even if I don't like the bio area, I learn more methods with much better job opportunity. The main problem is my GPA. I transferred from community college and had a 3.0 GPA and had an average university GPA, but I took a lot of statistics courses at my university in 6 quarters and 2 summer sessions, so I'm hoping my course load proves I'm competent; I even took 5 technical courses in my last quarter. Here is some background/relevant information: Undergraduate: University of California, Davis Major: Statistics (data science track) GPA: 3.217 (major), 3.207 (overall) Letters of Rec: Have yet to request due to confusion on what to pursue GRE: haven't taken yet. Many are waiving due to COVID-19 Coursework (junior college semester system) Single Variable Calculus I C (fall 2017) Single Variable Calculus II A (spring 2017) Introduction to Linear Algebra A (fall 2017) Multivariable Calculus B (spring 2018) Data structures A (spring 2018) Introduction to Math Proofs A (spring 2018) Coursework (Davis quarter system): Regression Analysis B- (fall 2018) Probability Theory C+ (fall 2018) Analysis of Variance (ANOVA) B- (winter 2019) Math Statistics B (winter 2019) Intro to Data Structures B (winter 2019) Intro to Math Statistics B- (spring 2019) Multivariate Data Analysis B+ (spring 2019) Survey Sampling Theory B- (spring 2019) Applied Linear Algebra B (summer session 2019) Applied Time Series Analysis B+ (fall 2019) Analysis Categorical Data A (fall 2019) Statistical Data Science B+ (fall 2019) Statistical Data Technologies B- (winter 2020) Statistical Learning I B+ (winter 2020) Psychometrics (graduate level) A (winter 2020) Adv Statistical Computing A (spring 2020) Statistical Learning II B (spring 2020) Bayesian Stat Inference A. (spring 2020) Practice in Data Science B+ (spring 2020) Artificial Intelligence, NLP A (spring 2020) Any advice helps...
  11. Howdy, I am a rising senior and am planning to apply for PhD and masters programs in Biostatistics for Fall 2021. However, I currently do not know where I stand and whether the schools/programs I have chosen are realistic. I would love to go straight into a PhD program, but I am unsure of if this is feasible and would love feedback! Undergraduate Institution: Top 60 LACs Majors: Biomathematics Minor: Urban and Community Health, Music GPA: 3.80/4.0 Major GPA: 3.76/4.0 Type of Student: Domestic White Male Courses taken: Math: Math Modeling w/ Biological Applications (A), Differential Equations (A-), Mathematical Modeling (A), Calculus III (B), Linear Algebra (A-), Agent-Based Modeling (B+) CS: Programming Fundamentals (A) Stats: Applied Statistics (A), Applied Regression (A), Biostatistics (A) Science: Biology I (B), Biology II (B+), Conservation Biology (A), Evolution (A) GRE General Test: 321/340 (V:160, Q:161, W:4.5) Research Experience: Spring 2018 - Spring 2019: Ornithology Research (including Summer Fellowship), presented at three conferences Spring 2018 - Present: Biomathematics Research on Florida Plant Species (including Summer Fellowship), presented at two conferences, published a paper Fall 2018 - Summer 2019: Frog Research at local zoo, volunteer research assistantship Summer 2019 - Present: Biostatistics Internship at local Health Science Center (includes both Summers) Summer 2019 - Present: Plant Distribution Research, presented at one conference Fall 2019 - Present: Data Analysis for Art History Professor, research assistantship Spring 2020 - Present: Agent-Based Modeling for Florida Plant Species Spring 2020 - Present: Economic Simulations Research I hope to have two more papers published by the time I graduate, but they will not be ready in time to place on my application. Working Experience: Spring 2017 - Present: Teaching Assistant for Math Modeling w/ Biological Applications Fall 2018 - Present: Teaching Assistant for Applied Calculus I also tutor off-campus for middle school students and am a freelance musician. Letters of Recommendation: One from biomathematics professor/research advisor, one from statistics professor/research advisor, one from an epidemiologist/internship advisor. Currently considering schools: Masters: University of Tennessee, University of North Carolina, and Vanderbilt University PhD: University of Mississippi and Vanderbilt University I would love feedback from you all and I greatly appreciate your help!!
  12. 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!
  13. 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!
  14. 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.
  15. 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.
  16. 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.
  17. 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!
  18. 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 UWashington 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.
  19. 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
  20. 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!
  21. 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.
  22. 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
  23. 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!
  24. 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!
  25. 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?
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