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Found 25 results

  1. Hello! I'm starting to look at Stat/Biostat PhD programs in 2022 since application for 2021 Fall will be closed soon. And I hope for advice as to what schools I should apply and what I can do to enhance my application while I’m in the industry now. Undergrad Institution: National Tsing Hua University (Top 2 in Taiwan; QS 168) Major: (B.S.) Quantitative Finance GPA: 3.05/4.30 Grad Institution: National Taiwan University (Top 1 in Taiwan; QS 66) Major: (M.S.) Biometry GPA: 3.95/4.30 Type of Student: US citizen living in Taiwan GRE General Test: n/a - taking soon Programs Applying: Statistics/Biostatistics PhD Research Experience: - One Conference Paper in ecological statistics area in ISI WSC. - One Conference Poster in ecological statistics area in IAVS. Awards/Honors/Recognitions: - Excellent Teaching Assistant Award. (Top 10% TAs in NTU) Pertinent Activities/Jobs: - AI Algorithm Engineer with one and a half year experience when I’m applying in 2022. - Lecturer in TA training sessions in two universities. - TA statistics course for 3 semesters and linear algebra for 1 semester. Coding Skills: R, Python, SAS, C, C++ Target: (US) Biostats: Brown Stats: Northwestern, PSU, UCI, UCD, UCR, UPitt, Virginia Tech, Texas A&M (Singapore) Stats: NUS Concerns: I think my biggest weakness is my undergrad GPA. So, I’m not quite sure if the target is too high for me. I'd really appreciate any feedback and suggestion on my selection of schools or other ways to improve my background. Thank you!
  2. I'm applying to PhD program in stat/biostat this fall. I have two rec let from professors I did research with. I'm deciding for the 3nd one from the following possibilities. I'd appreciate if someone can offer advice. 1. I'm doing thesis with a professor whom I plan to ask the 3rd letter from. My concern is that the thesis is a continuation from my summer research with one of the two profs I will get the letters from. So I don't know if it lacks diversity. 2. A rec let from Real Analysis prof. I'm doing pretty well in class. But I don't plan to apply to programs with Measure Theory though... 3. A rec let from Cs Algorithms class. Any recommendations? Thanks!
  3. Hi all, I will be second-year master student this upcoming semester and am really willing to pursue my Phd degree in statistics field. (For stat and biostat, I prefer to biostat). But I really do not know if these school I've already chosen is fit me well. I will really appreciate that if you could give me some advice! Thanks for your input! Type of student: international male (Asian) Applying to: stat/biostat Phd Undergrad institution: Central south university (Top 30 university in China) Majors: statistics GPA: 3.2 Main Math/stat course grades(undergrad): probability(A) / Advanced algebra I (B) / mathematical analysis I(B) / sampling techniques(B) / stochastic processes for application(B) / regression analysis(B) / data mining(B) / statistical analysis of industrial economy(A) / principle and technology of database(B) / matlab mathematical experiment(B)/ multivariate statistical analysis(B) / computer programming(C) / mathematic and physical statistics(C) / time series analysis (C) / (only have A B C D grades) Master institution: university of connecticut Majors: statistics GPA: 3.71 for first two semester Main Math/stat course grades(MS): Applied statistics I (B) / mathematical statistics I (B) Applied statistics II (A-) / mathematical statistics II (A) / design of experiments(A+) Analysis of survival data / linear statistical model / epidemiology (next semester) GRE general test: Q:166 V:152 W:>3 (I don’t know exact score for this test yet but the least score I got past is 3) Research experience: Accomplish two Applied statistics course project. (although I do not think they are research) (during master program) Biostat summer camp project (something about phase II experiment design, primary and secondary endpoint analysis). (during master program) Letters of recommendation: Non strong recommendation. I believe I could get three decent recommendations from professor. Planning to apply: Reach: Georgetown university / ohio state university / GWU / Michigan state university / Umass Target: Oregon state university / university of south Carolina / UC-denver/ virginia tech Safe: George mason university / university of Kansas medical center / medical college of Wisconsin
  4. Hi! I wonder which Statistics PhD program is better, UIUC Statistics or UT-Austin Statistics and Data Science. UIUC: Pros: 1. Ranking; 2. CS is better; 3. Statistics Department is big and has many research areas. Cons: 1. Location; 2. Weather. UT-Austin: Pros: 1. Location; 2. Many good companies there; 3. Some big names in Bayesian. Cons: 1. Ranking; 2. Too new; 3. Too Bayesian. Thank you so much for your answers and help.
  5. Hi! I wonder which Statistics PhD program is better, UIUC Statistics or UT-Austin Statistics and Data Science. UIUC: Pros: 1. Ranking; 2. CS is better; 3. Statistics Department is big and has many research areas. Cons: 1. Location; 2. Weather. UT-Austin: Pros: 1. Location; 2. Many good companies there; 3. Some big names in Bayesian. Cons: 1. Ranking; 2. Too new; 3. Too Bayesian. Thank you so much for your answers and help.
  6. Academically which shall I choose? I heard Buffalo ranks high in Biostat. I have to learn about the professors for now, I think. As of funding, Buffalo offers 20000/year TA and tuition discount(only at the resident rate, sadly), no insurance mentioned VT full funded with waived tuition and 88% insurance. Not know the responsibility for the stipend yet. Thanks!
  7. Hi, I'm going to apply to Statistics master's and PhD program this year, hopefully focusing on machine learning / deep learning. I have several concerns, including 1. changing my field from Economics to Statistics 2. did not take many courses from Statistics department 3. did not major/minor in Mathematics, and for these reasons, I am applying to master's as well, so that I can have a better chance to get into PhD program afterwards. Any feedback would be greatly appreciated! Undergrad Institution: One of the top 3 in South Korea Major(s): Economics GPA: 3.95/4.00, graduated with Magna Cum Laude Exchange Student Program: UCLA (undergraduate, one year during junior) Major(s): Mathematics GPA: 3.79/4.00 (Math upper division GPA: 3.89/4.00) Graduate Institution: The same university as undergrad (One of the top 3 in South Korea) Major(s): Economics GPA: 3.90/4.00 Type of Student: International Asian Male GRE General Test: Q: 154 (65%) (trying to retake to improve the verbal score this summer) V: 170 (96%) W: 4.0 (59%) Subject(Mathematics): 930(99%) TOEFL: 110/120 (S 25, W 27) Courses taken: Mathematics: Calculus (A+), Calculus with Vector Analysis 1 (A+), Calculus with Vector Analysis 2 (A+), Linear Algebra (A+), Math for Econ 1 (Linear algebra/Calculus, A+), Math for Econ 2 (Optimization/ODE, A+), Number Theory (A+), Probability Theory A (A+), Probability Theory B (A), Stochastic Process (A-), Real Analysis A Honors (A), Real Analysis B Honors (A--), Topology (A-), Scientific Computing (A+), Numerical Analysis (P), Optimization (A+), Mathematical Game Theory (A+), Real Analysis A (Graduate, B), Real Analysis 1 (Graduate, A-) Statistics: Intro to Stat (A+), Statistical Methods (A+), Computer Programming (A+), Econometrics 1 (from Econ department, A), Mathematical Statistics 2 (A+), Mathematical Statistics (Graduate course from Econ dept., A+), Statistical Learning Theory (Graduate, A+) CS/EE: Software Programming (A+), Data Structure and Algorithm (A), Discrete Mathematics (A), Artificial Intelligence (A+) Courses will take this fall (all graduate courses): 1. Real Analysis B (for sure), 2. Artificial Intelligence Theory (possibly), 3. Searching and Text mining (if not take 2) Research Experience: One research on applied Econometrics project (irrelevant to Statistics) / currently working on bridge regression Working Experience: 3 years experience of TA (Math for Econ, Econometrics, Mathematical Statistics (graduate)) Awards/Honors/Recognitions: Honors for every semester in my home university and one Dean's list from UCLA, several merits-based scholarship Pertinent Activities or Jobs: Statistics club (one year), data analysis assistant for the university freshmen evaluation team Letters of Recommendation: One Econometrics professor (with whom I did research), one math professor from UCLA, and one Statistics professor. The first two will presumably be strong, and I am not sure for the last one. Any Miscellaneous Points that Might Help: 1. I got B on graduate Real Analysis A (measure theory) from UCLA when I was junior. I believe I was not mathematically-matured enough at that time, and I did kind of retake the course in my home university and got A-. And I am going to take Real Analysis 2 this fall to complement B on measure theory, even though I am not sure if it can fully compensate B on the measure theory. 2. I got P on Numerical Analysis just because it was my undergraduate complement course and I was not allowed to take it with letter grade. The class rank was 1/37. 3. Even though I am currently in Economics department as an graduate student, I have not been taking Econ courses for a while. And I am not getting MA in Econ here. I just happened to have a chance to take three semesters without tuition in Econ graduate program in my home univ., and I was complementing math and CS/EE courses during the this period. 4. I actually applied to 8~9 Statistics Master/PhD programs last year and got all rejected. Most of them were top schools like Stanford MS or CMU PhD, but it also included non-top schools in Statistics like UCLA MS. I had pretty similar profile except that my GRE subject math was 830 (83%) at that time, which I submitted to all of the schools I applied. Program: PhD/Master in Statistics (and possibly OR MS) School List: Master's in Statistics: UC Berkeley, U of Chicago, U of Washington, U of Michigan, UCLA, UCSD PhD in Statistics: NCSU, U of Wisconsin, ISU, PSU, Purdue, UCD, Florida State U, UC irvine, UCSB I don't know which schools are my reach/match/safety. I am also thinking to apply to Georgia Tech OR Master's and USC CS Master's if it fits my profile better, since OR and CS also work on machine learning / deep learning. Thank you for your time and advice!!
  8. i have taken Applied Multivariate Analysis, Statistics Inference, Big data Analytic, ODE, Discrete Math, Discrete Optimization during exchange in univeristy of south carolina with a gpa of 4.0 and Optimization Theory, Time Series,Regression, Survival Analysis,Computing Statistics, Data Structure, probability*2,financial simulations,Data exploration, R\&SAS, Linear Algebra, Calculus in HK WITH A or A- in these courses. can i try to apply a top graduate school? best regards
  9. I would appreciate any thoughts. The point is, 1) Mac OS vs Windows, which system is better for a student in stat? 2) 8 Gen i5(quad-core) with 8GB Ram is enough to run, say R or python? (In general stat field)
  10. Hi everyone, just another potential applicant seeking a little advice. I welcome and appreciate any and all insight, recommendations, criticisms, questions, etc. Undergrad Institution: Large State school Major: Mathematics Minor: Chemistry GPA: 3.28 (Major 3.68) Grad Institution: Large State school Major: Statistics GPA: 4.0 (currently) GRE General Test: (might retake, was falling asleep during parts of test) V: 160 Q: 168 W: 3.5 Programs Applying: PhD in Statistics (maybe Biostat?) Research Experience: Not really any research per se, but a couple of projects: one with a professor of journalism working on media framing of Islam in US, kind of a statistical linguistics project (article was not published with work I did, apparently referee was an Islamophobe, who really knows), and one outside of school with an actuary working on some demographic analysis for his business. Letters of Recommendation: One from undergrad prof who supervised my projects, two from Grad program who are well-acquainted with my work/study habits. Relevant Course Work: Pre-dropout: (rarely attended classes) Calc 1 - 3 (B, A, B+), Linear Algebra I, II (B-, B+), Limits and Infinite Series (B+) Post-dropout: ODEs (B+), PDEs (A), Complex Analysis (A), Intro to Real Analysis (A), Real Analysis I (A-), Statistical Methods (A-), Mathematical Biology (A), Mathematical Statistics (A), Probability (A), Abstract Algebra I, II (A, B), Regression Analysis (A), Time Series Analysis (A), Statistical Computing (A) Grad Courses: Mathematical Statistics I, II (A’s), Theory of Linear Models (A), GIS and Spatial Analysis (A) Future Grad Courses: Real Analysis/Measure Theory, and a handful of other statistics courses Computing Skills: R, C++, ArcGIS, QGIS Teaching Experience: Taught a year of undergraduate mathematics, will teach applied statistics this year Applying to: Minnesota (Advisor attended) Wisconsin Colorado State (Two profs attended) Oregon State UCSC (looks like they do cool research here) UC Davis I know the math grades/GPA don’t look so great, but I was going through some medical/personal issues and feel I made quite a rebound after returning to school. The low LA grades I would hope are made up for in some of the more advanced math classes as well as my graduate coursework (I feel like I really got the chance to learn linear algebra properly when I took the Linear Models course). I decided to try a Master’s to see if I could handle Grad level coursework, and it seemed like it would dovetail nicely into PhD programs if I enjoyed the atmosphere. I am much more comfortable in theoretical statistics (hypothesis testing, confidence intervals, distribution theory), but am also interested in longitudinal data, as well as mixed models, so maybe throwing in a biostatistics program here or there might be wise. It’s hard to say at the moment, but I am just enjoying learning and exploring new material. I haven’t had much exposure to the Bayesian paradigm, but feel I would really enjoy getting to explore it in a spatial/temporal/ecological setting. This year I will participate in a consulting lab, so hopefully this will help more precisely define my research interests. Thanks!
  11. I got into the MS Biostatistics programs at UT SPH, UIC(University of Illinois at Chicago). Unfortunately, both no funding. I need help deciding which one to choose. Are these different school UT SPH(University of Texas Health Science Center) and GSBS UTH? Biostat1. Harvard, Hopkins, Washington4. UNC5. Michigan6. Berkeley7. Minnesota, Wisconsin9. Columbia, UCLA, UT MD Anderson12. Penn, Yale14. Emory15. Brown, Duke, Vanderbilt18. BU, UC Davis20. Florida, Iowa, Rochester, UT Houston24. Medical College of Wisconsin25. Illinois Chicago26. Case Western27. Colorado Denver28. Massachusetts Amherst29. South Carolina, SUNY Buffalo31. Kansas, Alabama33. SUNY Albany, Cincinnati, VCU According to US News rank, It seems like UT Houston over Illinois Chicago. If anybody can share their insights about the program, and also about the job scenario in Houston or Chicago then it would be really helpful.
  12. I see that some schools have sent out interview requests for programs i applied to. If i didnt get a request yet, does that mean out?
  13. I've been looking at masters programs in statistics around the mid-Atlantic US region (even as far as Virginia to New Haven). I am looking for programs which will give the most help for getting into a PhD program, such as completing a thesis, having a good ratio of faculty to student in order for individual research and mentoring. Which MA/MS programs in that region are recommended for such a trajectory? I was looking at Columbia's MA program but it doesn't seem to be conducive to my goals - not saying Columbia is bad, but there may be more suitable programs in the region for those like me. The ranking of the programs don't necessarily matter, I just want to have the opportunity to work closely with faculty and conduct original research. Thanks in advance.
  14. Hi, This is my first post on the Grad Cafe. I'm encouraged by all of you guys because now I know that I'm not alone in this hectic time of grad applications. I am writing SOPs for MS/MA in statistics and MS data science. I eventually do want to pursue a PhD though I'm not sure which aspect of the mathematical sciences I want to be specialize in. My question is essentially: 1) What roles (software, data engineer, analyst etc)would MS data science graduates have in the industry? (whether government or commercial) 2) Would I easily have enough prior knowledge to pass qualifying exams as a Stat PHD candidate coming from a background with an MS data science degree? 3) What are the backgrounds of the data science masters cohorts? (what undergraduate majors, which industries, gpa, research interests etc.) 4) (Optional - for better insight) Finally, what would be your ranking of data science master programs and by what aspect are you ranking them (academic rigor, size of research projects, location etc.) I look forward to hearing your input.
  15. Undergrad Institution: Top 20 US Liberal Arts College Major(s): Mathematics GPA: 3.6 (grade deflation in my department, but still not very competitive I guess) Type of Student: International Asian Female GRE General Test: (took July 2017) Q: 170 V: 160 W: 4.0 GRE Math Sub: Took in October, hope it was a 75th percentile Programs Applying: Statistics PhD Research Experience: Two summer research in abstract algebra, but the topic was fundamentally statistics related (experimental design direction), one paper under review TA for stats course for 3 years, R tutor for one semester Awards/Honors/Recognitions: One honorable mention in a stats modeling competition Courses: stats modeling and math modeling (both A-) higher level math courses like Abstract Algebra and Analysis (did do well in analysis, the worst grade among my math course) Probability (A-) In data science course right now, and will taking a Bayesian seminar next semester as well as an advanced data science course Computer language: C, Java, Scheme, Latex, Mathematica, Matlab, R Recommendation Letter: One from the professor I did two research with, one from my academic advisor who is a stats professor, and still considering the third one. Programs Considering (PhD): Harvard UC Berkeley UCLA Johns Hopkings University Carnegie Mellon University U Chicago NYU Columbia Washington Seattle Duke UNC U penn UCD I wonder am I likely to get into these programs? Since I did research only in pure math, should I aiming for a more theoretical program instead of an applied one? Who should I ask for another recommendation letter? Thanks for your advice!!
  16. I am a current undergraduate student majoring in Statistics. I have been interested in careers ranging from sports statistician, to video game data scientist, to biostatistician. I am not looking for a career that is the most paying per se (I would like a salary of somewhere between 60k-80k a year), rather a career that is most fulfilling. I do not seek a programming-focused role, however I do not mind learning programming and utilizing it as a useful tool. I would like to be able to share my knowledge of statistics to help others who may not be knowledgeable of statistics and help them see the usefulness of statistics. Maybe a career where I can develop statistical approaches to non-statistical procedures. I can really see myself in setting where I am the one who designs studies/experiments/sampling, collects the data, and summarizes/ analyze the data and bring complex statistical problems understandable to everyone. I guess what I am looking for now as an undergraduate student is not a career, but rather internships that can expose me to a setting and role that I may like.
  17. I've narrowed down my final two choices for a PhD beginning Fall '17 to Johns Hopkins University's Department of Applied Mathematics and Statistics (School of Engineering) and Brown University's Department of Biostatistics (School of Public Health). I've been accepted at both. I'm interested in applied statistics (I have work experience in data science and an M.S. already), so biostatistics sounds like a natural fit. I'm curious about the reputation of the Brown program. It seems small but mighty! My concern is that by going to Brown, I'm throwing away the opportunity to rub shoulders with JHU Biostatistics (they rejected me), but I suspect it's better to like the department you're in rather than the department you're near. I haven't heard much about JHU AMS. Thanks in advance for your $0.02.
  18. Hi Everyone, After long time decision, I finally decide to go to UCB stat rather than Duke stat. However, this last Friday, I got the AD from NYU DS, which is also my dream program. I am a statistics major and only took 3 cs courses in data structure, python programming and VB. I am not really sure weather my cs background is enough for ds program. I am now an actuarial analyst outside US, and I hope I can work toward modeling in US(especially prefer to work in actuarial firm) after graduate from graduate school. It sounds that NYU locates in better location for me. However, I have heard most financial companies in East side don't sponsor H1B. Also, I my opinion, to work as an data analyst, it is more important to focus on explaining the models and reports. CS skills are only tools and statistics methods are much important. I am not really sure weather I illustrate the concept of data science correct. In fact, I am confuse why most data science/ analytics programs have nearly 100% placement, which have better placement and average income than statistics programs. Can anyone provide me some advice? Thank you! Any advice and opinions for data science are appreciated!
  19. I'm currently deciding between Penn State MAS program and the Cornell MPS program. Both will be a one year program because I did my undergrad at PSU. As a current Penn State undergraduate I'm leaning towards the staying here because I'm familiar with the area, the professors, have a job, research hook ups, ect However, I know Cornell has very good name recognition. My main goal is to go straight into industry. I looked over the post graduate survey for Cornell and was unimpressed with the average salary (70k) seeing as a few months ago I turned down a 63k a year job hoping to get accepted into graduate school. I'm not aware of any Penn State version of post graduate survey. The price tag is about 22k for Penn State and Cornell is 52k in tuition alone. I could probably afford Cornell without too many loans (coming out of undergrad I have no loans) but I feel that the average starting salary should be higher to justify the double price tag. I'm wondering if anyone has any insight into which program could be better for me. I'm an American and I know most of Cornell MPS students are chinese internationals so I'm wondering if that's bring the average salary down significantly and that for a domestic student, the salary prospects are much better. Thanks in advance for any help.
  20. Hi there, I'm just trying to get an idea of what kind of graduate schools I have a chance at. I'd really appreciate any feed back. Undergraduate Institution: Penn State Main / Statistics Major, Math major, econ minor GPA: 3.33/4.0 really bad gpa freshman year but I brought it up. kind of went down last semester a little lol. Around 3.5 average for math and stat classes. Math Courses: Calc 1, 2 (A-), Calc 3 (C), Diff EQ (A), Combinatorics (A-), Into Discrete Math (B-), Into Real Analysis (A-), Intro Probability (A), Matrices (B+), Linear Programming (A), Numerical Computations (A) Stat Courses: Into to Statistical Inference (A), Stochastic Modeling (A), ANOVA (A-), Regression (A), Time Series (B), Non Parametric Stat (B), Survey Sampling (A), Intro to Sas (B+), Intermediate & advanced SAS (A-) Type of Student: Domestic asian female with white person name (so I guess I could put do not answer under ethnicity, not sure if it'll look better as a white or asian female) Research Experience: Did an REU where I learned Bayesian stat. Not very much actual research. So I got recommendation letter from one of the professors who is in charge of it. Currently doing research in the psych department where I'm doing data cleaning in R Letters of Recommendations: 1 probably decent from professor I did reserach with over the summer 2nd one probably decent from adviser who i've known for around 3 years. Got a B+ in her matrices class 3rd one from professor who I didn't do much research with. Got an A in his probability class but a B+ in his stochastic modeling class GRE: V: 155 i think 78% Q: 166 i think 90% W: 4.5 probably 80% Schools I'm planning on Applying to: Penn State Cornell Pittsburgh Iowa State Columbia Purdue I'm really trying to find a school that I can get out with a Masters in one year. If anyone else has any idea what schools I would have a chance at, please let me know. I think I have a pretty good chance at Penn State since that's my undergrad institution but I'd really like to know what my chances are at the other ones on the list, particularly Cornell.
  21. Hi, I'm interested in entering a statistics master program in the US. Since I graduated from a not so prestigious foreign university, I'm not considering aiming at top programs in the US. I think that I have better chances applying to middle-rank programs. Plus, I have a limited budget for application fees and I don't want to squander it on unrealistic expectations. My question is: where can I find MSc stat programs ranked by demand? BTW, my long term project is to work for the financial sector. Do you think that I should apply to a PhD program? If so, can you provide a similar rank for PhD programs? Best!
  22. Hi all, Im going to senior next sem and planning to apply for a position in stat graduate program. To be honest I am in complete awe and confusion about school selection since im not sure where would take a pretty empty cv and an ok academic record like mine. I literally have no peer, friend, or senior to ask/discuss about this. It would be very kind of you if you could help me figure this out, and maybe, recommend me some schools?. Here's my profile Undergrad Institution: Asian, top 50 QS ranking Majors: Math (mostly applied, stat, and fin-math track, my school doesn't have a separate stat dep) Double major: Business administration GPA: 3.96/4.3 translated to 96.22/100 if A+ = A Type of Student: International, asian, female GRE General Test: Q 167 V 154 W 3.0, planning to retake this sept GRE Math Subject Test: Planning on taking this Oct TOEFL: taking this september, aimingly > 100 Courses/Background: Math Classes: calculus 1&2, analysis, logic&set, linear algebra, complex analysis, basic topology, number theory, diff equation, (planning to take rigorous linear algebra, comp method for stat and lebesque theory next sem) Other Relevant Classes: Intro to programming, prob&stat, stat for business, stat for risk analysis, mathematical stat, prob theory, comp simulation for fin-math, numerical theory Computational skills: Python, R, Matlab Research Experience: a winning project in intel isef from high school, an individual study about financial math, and that's it :'( (my school doesn't provide much research opportunity for math student) Letters of Recommendation: 1 statistics professor (took two classes with her), 1 math professor (a close friend of mine), and 1 organizational behavior professor (close to me that I can guarantee a good recommendation, unfortunately i don't have close relationship with other stat professors, still wondering if i should take one from fin-math professor i did individual study with, he's well-known, but im not sure he can provide a good lor for me) Awards and honors: scholarships from school, a few other small scholarships Teaching experience: tutor of calculus 1&2 for a year until now Planning to apply to: (the schools i've searched so far, not sure at all about whether each is reach/managable/safe): Texas A&M, Rice, TU Austin, Johns Hopkins, Rutgers, Florida, Houston, UChicago, Ohio State, Boston Thanks a lot in advance. Any of your opinion would be precious to me!!!
  23. Hello! Will passing the Actuarial Exam P help your chances of getting accepted into Master's Statistics and Biostatistics programs?
  24. Lets say I get a 3.2-3.3 undergraduate GPA. I then go to a mid-level master's program(30th-60th) and get a 3.6-3.8. With a high GRE score (Q: 760+), can you get into a top 20 PhD program? Essentially, can a good GRE and masters work almost erase your undergraduate work? I am currently a Stats/Econ major, but I am looking at many different options and so I was just looking for generalities. Thanks!
  25. Hi, I am currently a Statistics and Economics major in my Junior year at an accredited Big Ten university. I am hoping to go into Biostatistics after I graduate, but am having a lot of trouble finding admission statistics. Though obviously none of this is set in stone, this is an approximation of what my GPA's would look like. My Expected GPA's consist of: GPA: 3.298 Statistics GPA: 3.357 Math/Stat GPA: 3.293 Degree GPA: 3.443 College of Natural Science GPA (including Degree GPA): 3.472 Economics GPA: 3.600 GPA of classes excluding Stat, Math, and Econ: 3.115 My Relevent Courses: Biostatistics Calculus I-III Differential Equations Linear Algebra (Proof Emphasis) Algebra Based Statistics I Multivariate Probability Multivariate Statistics Actuarial Mathematics Statistical Computing Econometric I & II Introduction to Programming I am currently looking into going into the University of Michigan for either a M.S. in Biostatistics or a Ph.D in Biostatics, or possibly attending Grand Valley State University first to get an M.S. in Biostatistics and then attempt to get into UMich's Ph.D program. Do I have a good chance of getting into Michigan? I realize there are many variables but any insight would be nice. I don't have any intern experience but I do have volunteer work, tutoring experience, and have passed the Probability Exam P/1 for Actuaries. Any insight is appreciated; average GPA's, GRE's, acceptance rates, ect would be great!
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