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Found 123 results

  1. My undergraduate major is Mathematics and a minor in Economics, and my college offers three real stats classes (Mathematical Stat 1/2, Stats for Engineers/Scientists (applied calculus based stats). I know that Statistics undergraduate programs aren't that common (at least compared to math), and that I don't need a stats major/minor to get into grad school for stats. I would like to self-study a little more stats before I (hopefully) start atStats grad program in Fall 2018. For those of you with an undergraduate minor/major what classes did you take and what textbooks did you use? I have Wackerly Math Stat already. I am looking for textbook suggestions that are more undergraduate focused and do not require anything above Real Analysis I. I would like a Regressions book and a book on Bayesian Statistics for sure, and anything else that you think would be helpful.
  2. For those of you who are currently enrolled or have completed a PhD in math/stats/biostats how was your time split up during your first year between: Coursework Teaching Research Other(?) I know not every program is the same and that some students may have teaching duties waived so I am just trying to get a general sense of what to expect.
  3. Really struggling between this two school. Rice:1. Relatively small school and closer connections between alumnus and professors. 2. Larger choice in cross-disciplinary lectures NCSU: 1. Better Professors and better location for job opportunities (maybe?) 2. cons: seems change to summer program for one year since 2016 and have no idea about how is the program actually now and the summer lectures are taken online. Really need help! Thank the replies in advanced for you time and patience.
  4. Hello, Can people give me their opinions/ranking on any of the schools (Statistics PhD): UCLA, UF, Texas A&M I've been admitted into these schools, and I'm having hard time deciding... My opinion: UCLA -seems good for industry jobs (i.e. data science), since located in LA -course load seems heavy on machine learning (good) -expensive to live in though (apartment/food worries...) UF -course load seems to be more oriented toward traditional statistics (no machine learning courses) -I heard they're theoretical heavy (good) -located in my hometown (wouldn't have to worry about life stuff, i.e. cost of living, food, etc.) Texas A&M -I heard they're a very large department that does mostly applied stuff -I'm not that worried about the cult life thing Bio: -Undergraduate: UNC Chapel Hill, Graduating in May 2017 with Bachelors in Stats, Math -US Citizen -Hoping more for industry than academic job Thank you so much!
  5. 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.
  6. Well, I promised in the other forum that if no one else did this I would. Follow the template below, and post your profiles / results. These posts have been indispensable for future applicants and are extremely helpful for prospective students that have no idea where they should apply / have a shot. Also note that TGC limits the time in which you can edit your post, so you may wish to post your results in your signatures so you can change it (if you haven't already heard back from everywhere / almost everywhere). Undergrad Institution: (School or type of school (such as Big state/Lib Arts/Ivy/Technical/Foreign (Country?)) Major(s): Minor(s): GPA: Type of Student: (Domestic/International (Country?), Male/Female?, Minority?) GRE General Test: Q: xxx (xx%) V: xxx (xx%) W: x.x (xx%) GRE Subject Test in Mathematics: M: xxx (xx%) TOEFL Score: (xx = Rxx/Lxx/Sxx/Wxx) (if applicable) Grad Institution: (school or type of school?) (if applicable) Concentration: GPA: Programs Applying: (Statistics/Operation Research/Biostatistics/Financial Math/etc.) Research Experience: (At your school or elsewhere? What field? How much time? Any publications or conference talks etc...) Awards/Honors/Recognitions: (Within your school or outside?) Pertinent Activities or Jobs: (Such as tutor, TA, etc...) Letters of Recommendation: (what kinds of professors? "well-known" in field? etc.) Any Miscellaneous Points that Might Help: (Such as connections, grad classes, etc...) Applying to Where: (Color use here is welcome) School - Program / Admitted/Rejected/Waitlisted/Pending on (date) / Accepted/Declined School - Program / Admitted/Rejected/Waitlisted/Pending on (date) / Accepted/Declined School - Program / Admitted/Rejected/Waitlisted/Pending on (date) / Accepted/Declined
  7. School: Large Public Research University (40-45 ranked math department - USnews ranking) Major: Mathematics, Computer Science Minor: Economics GPA (Cumulative): 3.81/4.00 (Math): 3.9 Mathematics Coursework: Calculus I,II,II (A-,B,A-), Discrete Math (Intro to proofs) (B+), Linear Algebra (Proof-Based) (A), Ordinary Differential Equations (A), Real Analysis I (A-), Real Analysis II (A), Abstract Algebra I (A-), Complex Analysis (A), Linear and Nonlinear Optimization (A), Financial Mathematics (pretty much just a course in stochastic calculus) (A), Numerical Analysis (next year), Partial Differential Equations (next year) Statistics/CS Coursework: Probability Theory (A), Statistical Theory (A), Graduate Machine Learning (A), Data Mining (A), Financial Econometrics (A), Time Series (next year) Math Courses with Ws (and then retook for A/A-): Calculus III, Abstract Algebra I, Probability Theory GRE Scores: 169Q, 165V, 4AW (I was going to apply this year, but decided to finish up my computer science degree by taking a 5th year, and add some more research to my profile) Letters: 2 from professors having done research, 1 from professor I took several classes with (opportunity to do research with next year too - see below) Research: -non-relevant to statistics (both in number theory): Semester Research Project, Summer REU -relevant: year long research opportunity (if I accept - see below) PhD Programs (preferred) : Chicago, Michigan, Harvard, CMU (joint machine learning - honestly, I never see anyone get admitted to this though), Berkeley, Wisconsin, Penn, Penn St, Duke, University of North Carolina, North Carolina State, Columbia, Cornell, Purdue, UCLA MS Programs: Harvard, Stanford, Chicago, CMU, Berkeley, Duke, Washington, UCLA (trying to keep this top heavy, since the consensus is that masters are easier to be admitted to) I have quite a bit of interest in machine learning, and would prefer going to a program that has some faculty doing research in this area, but I wouldn't say it is a deal breaker (i.e. if I was admitted to Chicago I'd go, regardless of the minimal research in ML). Some Questions: 1. I have four W's, three of which are in relevant mathematics classes (listed above). I was struggling financially at the time, father was laid off and not able to find steady work. During these periods, often of which were not given with much heads-up, I had to take on 40 - 60 hours of work and could just not keep pace will all of my courses. Figured it probably better to withdraw and retake, rather than take a C. How much weight will this have on my application? 2. Would it be more beneficial to complete a undergraduate thesis OR one year of statistics relevant research with a professor?
  8. Hi Guys, another School A or School B question here. This time it's UNC and NC State for a phd in statistics, perhaps the most diametrically opposed (in terms of theory vs applied) of the departments I applied to. As for me, my interests are not very set in stone. I enjoy machine learning and spatial stats, but I'm fairly open to most subjects in stats/probability. And my mind is not made up on industry vs academia, so I would prefer the school that keeps either option open. I would highly appreciate any input on my dilemma. Particularly on the question of which department is considered "more prestigious" as I keep getting ambiguous responses to this question (US news world vs other rankings, statistics vs probability professors, etc) (A&M is also an option, but I would need some major convincing to live in college station)
  9. Has anyone applied for MSc in Statistics/Biostatistics at UBC?? Checked with them two weeks ago, the secretary said they were still in the process of reviewing application ....
  10. Hi, If getting a job in companies like IBM,microsoft, amazon (basically tech) is the end goal of studying a program, which program is better? Thanks!
  11. Hi! I've been recently admitted to the University of Michigan applied masters in statistics program. I would like to know more about the reputation of the program. Are the classes hard/ is the program tough? Is the program worth the money? Do students who graduate from here have a better chance for a statistics PHD in the future? ( Since I know it is a program that focuses on sending students into the industry) Thank you!
  12. Hi guys, I am currently at junior at Cornell University, and last fall I changed majors from Astronomy to Operations Research and Information Engineering after 3 research jobs in astronomy/physics and realizing that the only part of physics I liked was the data science. I have taken Probability I & II and I am currently taking Statistical Data Mining and Stochastic Processes. I am now doing research for a professor in oceanography on measuring the change in chlorophyll at every point in the oceans. I have not been able to get really good advice on what I should do for graduate school. I want to work in applied statistics at research centers such as Pew, the UN, NASA etc. I think I'm leaning towards doing more social statistics research rather than now.. In Astronomy you had the option to work in theoretical (like string theory), more applied (like researching solar winds etc), or technological (like designing telescopes). Now I've been told that Statistics PhD programs are completely theoretical/methodological, whereas I was hoping to do a thesis on a more applied topic. So I guess my question is should I try to go for a PhD to then be able to get a higher position at a research center that requires PhD credentials so that I can finally do what I like doing? Or are there any programs that would let me do more applied statistics (that would be ideal) I should specify that I love my statistical data mining class, and I have been enjoying all my probability and statistics classes, but I enjoy applying what I have learned to data rather than coming up with new methods. Also I was told by a professor that getting a masters is worse than dropping out of a PhD program????
  13. I am trying to get a ballpark figure on acceptance rates to middle and lower tier (30-60 US news ranking) Statistics Ph.D. programs. I found data on acceptance rates on top 30 schools but not a lot on the middle tier programs. I am a female domestic applicant with 3.75ish Math GPA (state school), research experience, a possible undergraduate publication (if it gets accepted), and great rec letters. I am guessing from survey results and the limited information I found that my chance of getting acceptance with funding is around 20% on average for these schools. I want to apply to enough programs to get a 90%+ chance of at least one offer. I figure you could build a binomial model of the number of funded acceptances. I want to know if 20% is a good estimate of the probability of me getting into a middle or lower tier program with funding. Obviously the probability varies across colleges, and this won't be the best estimate. Some Example Colleges : Florida State, South Carolina, Baylor, Virginia Tech, Kansas State
  14. Good afternoon, everyone. Thank you for for being a great resource for future applicants like myself. Currently, I am gearing up to apply for the 2018 cycle in statistics and biostatistics masters programs. One topic I haven't seen touched on much through search was class size. How big are the classes at the top 15 schools? I understand we have epi students and non-biostat/stat students in some classes, but how big are the cohorts? Do they vary widely by school? Thanks, Future applicant
  15. Hi all, I'm a year 3 student from National University of Singapore (NUS), currently exchanging in UCSD. My primary major is quantitative finance. I also got double major in Statistics and minor in CS. I plan to pursue a master degree, but could not decide between master of Stats or financial engineering (or even industrial systems engineering). At this moment, I'm aiming at job in banking area (To be honest, I haven't got a VERY interested area yet, if watching drama does not count lol). I know that stats provides more opportunity while MFE is more specific, but could anyone give me some advice other than that, based on my information here? Plus: I am open to every kind of possibility because I'm really confused. Some of my basics are as follows: GPA: 3.78/4 (Converted from 4.73/5) 1 individual research project (Econometrics based. Not published.). Charted Financial Analyst (CFA) level I passed. Relavant courses: Math: Mathematical analysis I, II Linear algebra I, II Numerical analysis ODE Numerical PDE Mathematical finance Finance: Accounting Corporate finance Financial markets Investment instruments Stats: Probability Regression analysis and linear model R/SAS/SPSS programming Planning: Stochastic process Time-series CS: Data structure I, II Computer organization Language: Python, C++, Java, Matlab
  16. Has anyone got admission decision from ODU math department? I applied for PhD concentration in Statistics in early January. But didn't get any decision yet. Thanks.
  17. Hi there! Can somebody please advice me on the following universities- University of Washington or Duke university or Columbia U for Master's in Statistics ? The parameters to be considered are: 1. Job opportunities upon graduating - 1.1. Are plenty of jobs available? 1.2. Which field do you get into generally after graduating from that particular school- finance,IT,medicine? 2. Class size (Does class size matter?) 3. Workload and opportunities to learn Thanks a lot ! I am so very confused and would really appreciate some advice/opinion. Have a great day!
  18. Undergrad Institution: Texas Tech Major: Math, minor in Economics, expected graduation May 2018 GPA: 3.67 Type of Student: domestic female Upper Division Courses: Proof(A), Math Stat I (A+), Diff Eq. (A), Programming(B) (horrible professor), Calc III (B), Calc II(A), Linear Alg. (A), Enrolled in: Math Stat II, Real Analysis I, Numerical Analysis, Will take Abstract Algebra and Real Analysis II, and two semesters of graduate statistics next year GRE: Taking in August Undergraduate Research: Independent long term project 10 hours a week for over a year, preparing to send manuscript to journals Jobs: I got paid for my research Plan to apply to: Reaches: Duke, UNC, NCSU, Columbia, Baylor FSU, SMU, Missouri, What are some additional safety schools I could add? I need to be funded. I want to go into Bayesian statistics.
  19. Undergrad Institution: NC State Major: Statistics, Math Minor GPA: 3.6, 3.7 major GPA Type of Student: White Male Upper Division Courses: Math: Calc II (B-) Calc III (A-) Intro Advanced Math (pretty much a watered down analysis class) (A-) Linear Algebra (B-) Real Analysis (enrolled) Statistics/Statistics: All typical ugrad stat classes, B+ or better in all of them GRE: Will take this summer Undergraduate Research: One project fall of junior year and I plan to do something else in the fall of my senior year Jobs: Two summer "data science" internships with a pretty big software company. Used R for a variety of data tasks. Plan to apply to: My understanding is that these would be a bit of a reach NCSU UNC UC-Davis And these would be more of a match UF FSU Any information helps!
  20. Hi all, I've been really fortunate to have been admitted to several good statistics PhD programs, and I'd like some advice on how to choose/what to look for. I know research fit, research breadth, size of the department are all important, but are there any important criteria I'm missing? How important is attrition rate/completion time/alumni placements/prestige in all this? I aspire to an academic career. Any advice would be appreciated.
  21. 1.I didn't finish the online application, no recommendation letter sent 2.I didn't submit the online application 3.I applied to MS in Statistics but Arts & Sciences replied 4.I sent my GRE score and registered as an applicant Despite above 3 suspicions, I got an offer from George Washington U. I had planned to apply to it as a back-up, but I changed my mind later and applied to another "back-up". So I won't be going but I'm just curious to know if this is a legit offer. Here is the "offer": Hi xxx, Congratulations! A celebration is in order as your hard work has earned you a place within the George Washington University Columbian College of Arts & Sciences. Housed in a city unlike any other, as a graduate student at GW, you will gain an education unlike any other. The whole city is your classroom, and our graduate students emerge with not only a degree, but with experiences that could only happen here. As a graduate student at Columbian College, you will be part of a thriving community of scholars. Access to leading educators and thinkers, state-of-the-art facilities and vast educational resources help our students on their journey to becoming leaders and innovators in their communities—and across the world. We look forward to you accepting our offer of admission and joining a diverse group of 14,000+ graduate students, from all 50 states, Washington, DC, and 130 countries. We look forward to seeing you on campus! Sincerely, xxxxx Director of Graduate Studies and Student Services
  22. I tried to look up schools' websites about GRE score statistics, but they were either really vague or didn't give that info because they "look at the whole package". I tried to look at the Results Surveys, but in a lot of programs I'm interested in, the scores varied WILDLY (for the users that decided to provide their info, of course), so the variability was too high to discern a reliable pattern. So I was wondering if anyone can shed some light on how my GRE scores would look like to an adcom. 160 V (86%) / 162 Q (82%) / 6 AWA (99%) I'm mostly interested in mid-level programs (e.g. OHSU, UT SPH, Oregon State), so nothing like the Ivies or Johns Hopkins.
  23. I'm applying for stats PhD programs this season. Now I may have an opportunity to attend either the program at UCLA or UT Austin. Already received an offer from UT. Have some personal communication with a professor at UCLA, and seems that the chance of getting an offer is high. Some considerations: 1. My goal is to study high dimensional data analysis and machine learning. Both programs have some professors working on these topics, but it seems that UT has more. I didn't count two professors at UCLA working on computer vision. Not a topic interesting to me. Also, the professors at UT seem more active in terms of recent publications on these topics. 2. UCLA's stats program appears to have higher prestige than the one at UT. UT's program is fairly new. 3. It's very likely that I will decide to go to industry after graduation. There are ample opportunities at LA or Bay area. Austin is also not bad on this regard. Any suggestions would be highly appreciated!
  24. I am wondering if there's anyone who is in a similar situation with me. I applied to North Carolina State University's PhD program in Statistics. I was rejected, but was put into this "PhD-track master program". As I quote from the email, "This program begins in Fall 2017 and is designed for those students that may wish to pursue the PhD following the Master’s degree. The coursework follows along with our PhD track, so that it would be a seamless entry into the PhD program if qualified. " Is there anyone who was put into this program as well? What is your thought on this program? P.S. In addition, the webpage says I was admitted to Statistics -MR. What is an MR degree? I've only heard of MS or MA.
  25. Hi all! I graduated with a BS in Physics in 2010, and I feel ready to go back for a Master's for a number of reasons (mostly lack of employability and dissatisfaction with what positions I am able to get, feels like I'm at a dead end with my current education / skills). What subject to study has always been the difficult part for me, but I think statistics is "the one," if you will. I've always been great at math, but I never was a fan of how theoretical it was, and I'd really like to learn an applicable mathematical skill that grants a much better income and in a growing field. The BLS handbook has an amazing outlook for Statisticians, and everything else I read suggests that it's a very in demand skill. Statistics seems to meet this blend of what I'm good at with what I'd like in a future career. I actually took a civil service exam for a Statistician recently. Afterwards, they sent a letter requesting my resume, and I was astonished at the starting salary of $87,500! The most I've ever made was $47,000, with $31,000 and $37,000 positions as well (in the NYC metro area sadly). I've been working mostly in laboratory testing, but unfortunately I discovered I have a good deal of anxiety working with hazardous chemicals. I'd like to get more of a "white collar" position, even though my chronic wrist tendonitis is going to be a nuisance (hopefully workplaces would provide a very ergonomic setup). I've decided that it's the lesser of two evils though. After browsing some other topics like this, I'll try to follow suit and list applicable courses I've taken: College Overall Undergrad GPA: 3.76 ( 3.91 in junior / senior year though ) Calc I: A Calc II: C Calc III (Multivariable Calculus): A Differential Equations: A Engineering Math / Fourier Series Transforms: A Linear Algebra: B+ Computer Programming for Engineers (class was Mathlab and MatCad software): A Programming Logic (class was an intro in programming logic using Javascript): A GRE: I've never taken it but am looking in to scheduling / studying for it now. I have a published research paper (2nd author) in the Astronomical Journal working with a professor at my undergrad. I won an award for it and gave presentations at a couple conferences and at my college to the faculty and students. It involved analyzing / cleaning an image of a galaxy (we were looking in the radio wavelengths for Ultra-Dense HII regions, which are star formation regions) and comparing our radio images with images at different wavelengths to classify candidates. Operated in Unix command line software and used LaTeX to make tables. The summary of this research was my undergraduate thesis and was about a 30 page paper. Possibly Relevant Work experience: Job 1: 1+ year (Laboratory Analyst position) · Analyzed over 100 sets of raw test data using Excel calculations, formulas, and graphs (relatively small samples, ~2000-3000 pieces of data for each set) · Created over 100 analytical reports in Excel and Word · Prepared data for processing by organizing information, checking for any inaccuracies, and adjusting the raw data · Identified relationships and trends in data to draw conclusions of test performance Job 2: 1+ year (Equipment Calibration position at a pharmaceutical company) · Analyzed raw data of approximately 15 validation cycles and calculated sterility assurance levels (relatively small samples) · Analyzed sets of raw data utilizing Excel formulas and graphs · Created over 100 reports in Word and Excel for performed calibrations Questions: 1) I've never taken a statistics or probability course, how much will this hurt my chances at getting accepted to a statistics program? I'm wondering if I should take a class or two at my local community college to beef up my qualifications? For example, Carnegie Melon University has some probability and statistics classes listed as pre-requisites, so it sounds like my chances of getting accepted there are 0 atm. Other universities have less specific requirements. 2) It's been 6 years since I've been in college, and I feel really rusty on my calculus and programming skills, which I haven't had to use at all since graduating. Well, my programming skills were never above beginner to begin with. Hopefully studying for the GRE will refresh some of it, but do universities look unfavorably upon someone who has been out of school for awhile? 3) I'm really interested in an applied statistics program, as opposed to a theoretical. At this point in my life, financial and job security is my number one priority, and I'm concerned that a program that is too theoretical or geared for future PhD students isn't going to teach me the skills needed to secure employment. What programs are out there that are more "professional" degrees? Or does any Master's in Statistics program provide enough applicable training to secure gainful employment? As I previously mentioned, CMU's one year Master's program was advertised as a professional degree, so it looked appealing. 4) Speaking of CMU, are there pre-reqs flexible? It didn't sound like it. 5) I'm very blessed to have enough money saved to spend $50,000 or so for a degree, but I'd rather not spend that much if possible. What are the chances of full/partial funding for a Master's program? I've read that UMass, Berkeley, and UNC are known for providing some support, are there any others I'm missing? I haven't gone through each program on the rankings list. 6) Are there any online Master's programs for Statistics? Thanks so much if you've made it this far lol!