Jump to content

Search the Community

Showing results for tags 'statistics'.



More search options

  • Search By Tags

    Type tags separated by commas.
  • Search By Author

Content Type


Forums

  • Comment Card
    • Announcements
    • Comments, Questions, Etc.
  • The Cafe
    • City Guide
    • IHOG: International House of Grads
    • The Lobby
  • Applying to Graduate School
    • The April 15th is this week! Freak-out forum.
    • Applications
    • Questions and Answers
    • Waiting it Out
    • Decisions, Decisions
    • The Bank
  • Grad School Life
    • Meet and Greet
    • Officially Grads
    • Coursework, Advising, and Exams
    • Research
    • Teaching
    • Writing, Presenting and Publishing
    • Jobs
  • The Menu
    • Applied Sciences & Mathematics
    • Arts
    • Humanities
    • Interdisciplinary Studies
    • Life Sciences
    • Physical Sciences
    • Professional Programs
    • Social Sciences

Blogs

  • An Optimist's PhD Blog
  • coyabean's Blog
  • Saved for a Rainy Day
  • To infinity and beyond
  • captiv8ed's Blog
  • Pea-Jay's Educational Journey
  • Procrastinating
  • alexis' Blog
  • grassroots and bamboo shoots.
  • Ridgey's blog
  • ScreamingHairyArmadillo's Blog
  • amyeray's Blog
  • Blemo Girl's Guide to Grad School
  • Psychdork's Blog
  • missesENG's Blog
  • bgk's Blog
  • Tall Chai Latte's blog
  • PhD is for Chumps
  • bloggin'
  • NY or KY
  • Deadlines Blog Ferment
  • Going All In
  • In Itinere ad Eruditus
  • Adventures in Grad School-ing
  • inafuturelife
  • The Alchemist's Path
  • The Rocking Blog
  • And Here We Go!
  • Presbygeek's Blog
  • zennin' it
  • Magical Mystery Tour
  • A Beggar's Blog
  • A Senseless Game
  • Jumping into the Fray
  • Asian Studies Masters
  • Around the Block Again
  • A complicated affair
  • Click My Heels Three Times and Get In
  • dimanche0829's Blog
  • Computer Science Crossed Fingers
  • To the Lighthouse
  • Blog of Abnormally Aberrant
  • MissMoneyJenny's Blog
  • Two Masters, an Archive and Tea
  • 20/20 Hindsight
  • Right Now I'm A-Roaming
  • A Future Historian's Journey to PhD
  • St Andrews Lynx's Blog
  • Amerz's Blog
  • Musings of a Biotech Babe
  • TheFez's Blog
  • PhD, Please!
  • Blooming Ecologist
  • Brittle Ductile Transitions
  • Pleiotropic Notions
  • EdTech Enthusiast
  • The Many Flavors of Rhetoric
  • Expanding Horizons
  • Yes, and...
  • Flailing Upward
  • Traumatized, Exhausted, and Still Going

Find results in...

Find results that contain...


Date Created

  • Start

    End


Last Updated

  • Start

    End


Filter by number of...

Joined

  • Start

    End


Group


AIM


MSN


Website URL


ICQ


Yahoo


Jabber


Skype


Pronouns


Location


Interests


Program

Found 246 results

  1. I would like to provide some information regarding the reality of getting admitted to top 5 ranked Canadian graduate schools in the Computer Science Program. I work in the field and it appears to me that many applicants are not aware of some of the basic requirements to be admitted that are not overtly stated but definitely required. Unfortunately, I am unable to reveal my university or position as I wish to remain anonymous. Most of the time, you MUST have previous degree from a top school of your country, especially for students with a degree outside of Canada/USA/UK. This is extremely crucial for international students and unless you meet this requirement, it is extremely difficult to be admitted. For most countries, you will need to be in the top 5-10 universities in your country (excluding Canada/US/UK/India). For India, UK, and Canada you will generally need to be in the top 20 universities and for the US, top 50 may be considered, however, top 20 has a greater chance of being admitted. One of the first considerations of the reviewer is the school in which you graduated and how that school ranks in your country. To elaborate, having a degree from a top university is important because this is the only sure way to prove that you are performing well academically because the teaching standard and research caliber of top schools are widely recognized and can easily be compared top Canadian universities. It is impossible for each top Canadian university to understand the teaching, grading and research standard of hundreds of thousands of universities in the world, including many in a foreign language with public and private systems and most reviewers will not dig around for information regarding unknown institutions. For example, there are some universities that give a grade of 75% or above to only one in a few thousand students, whereas another university can have a graduating average of 3.7 GPA. With variations like these, unless you graduated from a top university in your country where the general grading trend and teaching quality is recognized by the Canadian school, your chances of admission are slim to none. Furthermore, the other reason a top university is important is that reviewers want to see reference letters from colleagues or faculty they know and value the opinions of. Since most top researchers in Computer Science meet in major conferences, presentations and events around the world, they are aware of each other’s work, reputation and standards when writing and reading reference letters. Most of these outstanding members of the academic community are also positioned in top schools coinciding with the reviewer’s search applications from top schools. The top Canadian graduate programs in Computer Science receive over 1000 and sometimes even over 2000 applications per year, with three reference letters per application this is an astronomical number of letters to read. Taking this number into account, while the content of reference letters matter, the respectability of the reference writer is arguably even more important. For example, a reviewer reading 100 applications a day would have to read 300 reference letters, 100 of them may indicate that the student is in the top 10% of their program. In the end, being top 10% may not mean anything because there are too many top 10%s and it does not indicate the quality of the student or education. Moreover, there have been examples where the same reference writer indicated that three different students from the same year and class were the number one student in their class. In cases like these, reviewers go back to looking at the top universities, since the caliber of education is known, and they may know the reference writers, therefore, ensuring the letter is reliable. If you believe that there are many exceptions to the rule, consider that the admission data from the previous year from one of the top Canadians schools: only TWO offers out of more than 100 offers made were outside of the guidelines above. Of course, an excellent statement, GPA, reference letters, GRE, and English proficiency are also required even from a top university. Moreover, other factors such as publications, conference experience, research projects and work experience, other achievements are also considered, however, if you do not meet the top university requirement, you will likely need astounding achievements in the other factors to even be considered for admission. The information provided refers to research Master’s and PhD programs in top Canadian universities and does not necessarily reflect industry targeted master’s programs in Computer Science. I am happy to answer any questions or clarify any points, feel free to contact me or respond to this post.
  2. Undergrad Institution: Best in Kazakhstan (US type of system, taught in English)Major(s): BiologyMinor(s): Computer ScienceGPA in Major: ~3.7Overall GPA: 3.33 (will be higher hopefully, by Nov)Position in Class: averageType of Student: International, female, minority (Asian)GRE Scores (revised): not taken yet, but practice ~160 Q:V:W:B:IELTS: ~ 8 (take soon)Research Experience: Molecular Biology Lab Technical work for 1 year > no publications (ongoing big project) Going to start BCI research this semester, review paper in the makingAwards/Honors/Recognitions: Dean's list several timesPertinent Activities or Jobs: private tutoring for SATsAny Miscellaneous Accomplishments that Might Help:Special Bonus Points: I'm auditing Master's level robotics class? (can be mentioned on transcript)Any Other Info That Shows Up On Your App and Might Matter: took Computer Science classes, participated in Mobile Application Development Incubator, interested in neuroengineering or research related to technology within neuroscience (any Lab suggestions are welcome) Applying to Where: Neuroscience (where there's also engineering involved in research)University of PittsburgUCSD (how many international students they accept?)Rochester, Emory Not Sure: University of Washington, Northwestern, MIT, John Hopkins, UPenn, Boston University Brandeis, Mount Sinai, Baylor, UMich What are my chances? I feel like compared to other candidates my application is flat, no glowing LORs (I will be lucky if they will be ok), average GPA, no research. Should I take a gap year and not even try? Is it better to go to Master's somewhere in Europe or apply for RA job in US, or do I maybe have chances to get into MSc in US? If you send GRE scores 1 time, would they still have them next year?
  3. I came to the US as an undocumented immigrant from El Salvador and graduated in Business Analytics B.S. with a Computer Science minor. I am applying to Statistics and Biostatistics PhD programs for Fall 2019 and am currently a Database Analyst using Python and SQL at a tech company. My biggest concerns for a PhD application are my GPA (3.25 GPA) and lack of research experience. No research: I only found out about formal academic research until my 6th/7th year of undergrad. I did a few years of music degree and by this time, I was 100% focused on internships, technical skills, and the salary that came with a full-time industry job post-graduation 3.25 GPA I constantly overloaded on credits. Over my 7 years of undergrad, I took over 200 credits because I was always in a hurry to graduate and make money. I finally settled down during the end but I always cared more for making a white-collar income ASAP than getting a B as opposed to an A. These explanations boil down to that I never considered graduate school as an option for me until it was "too late". I have had a few successes. I have published an article in ASA's AMSTAT News October 2017 issue detailing my experiences entering and sticking through a STEM degree. I also had a talk proposal accepted to PyData 2018 on the Value of Null Results. I'll be presenting on data that I collected while delivering pizzas and how results weren't always statistically significant. I am confident in my empathy, communication, and curiosity. But I fear that I can't make it past the metrics filtering of schools which prioritize arguably safe, applicants. How can I best use my resources (money and time) and apply for schools that actually care for accepting students like me, who the academic system was not built for? It seems many schools and programs have diversity statements but I don't know how to judge authenticity. Any advice would be greatly appreciated.
  4. Is it worthwhile to quit my job to focus fully on my master's degree? My master's is currently unfunded, but I have a decent amount in savings and plan to hopefully work a part-time job to offset any loans I may have to take out. My undergrad was in Psychology, and I made the jump to Statistics and CS and the transition has been difficult, but I love it. My current job is unrelated to my field, but it is flexible and is funding my education, which is a huge incentive to stay. However, balancing both graduate school and full-time work is taking a toll on my mental and physical health. I have started having back problems and neck problems from sitting all day at work and sitting all night working on homework. The lack of free-time has also started triggering panic attacks. I've been seeking treatment for these conditions, but it all boils down to stress triggering these issues. I know if I really buckle down, I can get through the semester, but at what cost? Once I graduate, the types of jobs I can apply for pay a lot more than my current job. I'm feeling stuck because the situation I'm in is one that most would envy, but it's seriously effecting my health. Should I quit and focus on graduate school full-time at the risk of incurring debt, or should I stay at the risk of degrading health? Any advice, personal experiences, etc. would be extremely helpful.
  5. I'm an international student who graduated from the UK in 2016. I'm applying for PhD programs in Biostatistics/Statistics, starting Fall 2019. Please leave some comments on my profile, especially the range of schools to which I'm applying. BSc Degrees: Mathematics with specialization in Statistics from a top-10 university worldwide GPA: Top 10/~250 Master Degree: Finance from a top-10 university worldwide GPA: Top 10/~40 Type of student: Asian male Program desired: PhD in Statistics/Biostatistics Research Experience: coauthor of one published paper on an international journal in econometrics. I have also done 2 research projects (~ 3 months each) that were outsourced by private companies. Both were related to Statistics/Data Analysis. During undergraduate studies, I had 1 individual poster project, in which I made a poster on statistical classification using LaTeX and presented to faculty members, 1 group project on Support Vector Machine and Kernel Smoothing, which also involved writing a report and presented our work to professors, and 1 individual project on Pattern Recognition, which heavily involved R programming. Teaching: 2 semesters of TA in Probability & Statistics and Time Series. I will TA another 2 semesters this year LOR: 1 from my professor in the UK, who was my personal tutor. 1 from a professor, who is currently the director of the research institution I'm working at. Both should be strong. I can get the last letter from another professor, but whether it's strong or not is a question mark. Programming: Proficient in R, MATLAB. Competent in C++, Visual Basic. Proficient in LaTeX GRE: Verbal 162, Quantitative 170, Writing 5.0 GRE Subject Math: 820. Not sure if I should retake Coursework: most were A+, some were A and 1 B in Computational Maths. My first 2 years focused on developing a rigorous mathematical background while my final year consisted of graduate level courses, mainly in advanced Statistics. First year: Foundation of Analysis, Mathematical Methods I, Mathematical Methods II, Computational Maths, Mechanics, Probability and Statistics I, Geometry and Linear Algebra, Algebra I, Real Analysis Second year: Probability and Statistics II, Algebra II, Introduction to Numerical Analysis, Analysis I, Complex Analysis, Statistical Modelling, Differential Equations, Multivariate Calculus Third year: Statistical Pattern Recognition, Applied Statistics, Stochastic Simulation, Credit Scoring I, Scientific Computing in C++, Quantitative Finance, Survival Analysis, Games Risk & Decisions Research Interests: I'm interested in high-dimensional statistics and machine learning, with applications to chronic diseases and cancer research in particular Applying to: Biostatistics: Harvard UNC Wisconsin-Madison (biostatistics track) Minnesota - Twin Cities Rochester Statistics: CMU (joint statistics and machine learning) Yale Cornell North Carolina State Michigan - Ann Abor Ohio State Penn State Note: I'm currently working for a research institution, which is part of the national university in my country. I expect some more projects in this academic year, though I'm not sure if these result in publications. It's unlikely that these will come before the application deadlines anyways. The things that concern me most is the questionable 3rd LOR and the lack of published papers (only 1 for me). I've also heard that chances are much slimmer for international students.
  6. Hi, I am planning to apply to Statistics and Biostatistics PhD programs for Fall 2019. I'm an international student. I completed my undergraduate degree in Statistics and Math in a top 15 university. I'm currently doing a MS in Biostatistics at a top 15 university. I have a undergraduate major GPA of 3.5, I had some mental health issues that screwed up my life pretty badly during my junior and senior year, which caused a major decline in my grades in a few statistics and math classes. I've been continuously involved in one research project after another since summer of sophomore year. After I began my MS program, I tried a lot harder to put my life back on tracks, I also did my best to take graduate versions of the courses I did badly in college to try to make up for them. My graduate GPA is 3.85. As of now, I've had 4 research projects, one poster at a Statistics conference, and no publication, although I am working towards publication, so I may have one or two papers in submission by the time I apply. I'm also taking the GRE math subject test later this Fall. I'm still assembling my list of schools, but right now I have Columbia Stat, UPenn Stat, Harvard Biostat, CMU Stat, Yale Stat and Data Science, and JHU Biostat. I would appreciate any honest assessment of my profile, suggestions to programs that would suit me, and any suggestions to improve my application. Many thanks in advance!!!
  7. -Undergrad Institution: Asian University Major: Statistics GPA: 3.96/4.0 Type of Student: International Relevant Courses: Calculus1,2(A+,B+), Multivariate Calculus(A+), Introduction to Analysis1,2(A+,A+), Linear Algebra(A+), Complex Analysis(A+), Numerical Analysis(A+), Mathematical Statistics1,2(A,A+), Regression Analysis(A+), Probability(A+), Computer Programming(A+), DATA Mining(A+), JAVA(A+), Micro,Macro Economy(A+,A+), Econometric(A+), and other topics of Statistics(CDA, Multivariate Data Analysis, Sampling Method...)(A+) TOEFL:94(30/26/20/18) I will retake to get 100 with S23 W23 GRE: 150/170/3.0 (V/Q/AW) I concern whether my low verbal score would kill me... GRE Subject Mathematics: 670(53%) registered September test. aim to 70~80% Programs Applying: Statistics PhD Research Experience: -As an undergraduate research team leader, write two papers and give presentations, but not published (about 1 year) -Give three presentations at the school mathematics seminar. -Undergraduate Thesis Teaching Experience: -Elementary statistics TA for a semester -High school math teacher for 1 year (Are those experiences advantageous?) Recommendation Letters: -My research advisor. attended 4 courses and got all A+ -TA advisor. -Statistics Professor. attended 3 courses and got all A+ Computer Skills : R, SAS, Matlab, JAVA, C++ Applying to: Statistics PhD CMU NCSU UMN TAMU Perdue OSU Johns Hopkins Rice UT-Austin Northwestern GWU UMBC SMU ASU Thank you for reading my profile. I am not sure that I can get into one of those schools with funding. Any recommendation for other schools would be really appreciated.
  8. Hello, I am new to this website but hope someone will be able to help out. I'm looking to apply to masters programs in statistics in a couple years after some work experience and will be graduating next year. Undergrad institution: Mid tier, large public state school (top 75 in US News) Majors: Business Analytics, Mathematics Year: Senior, graduating in May 2019 GPA: 4.0/4.0 Programs Interested In: MS in Statistics Type of Student: Asian American Male Relevant Courses: Math - Multivariable Calculus, Introductory Linear Algebra, Theory of Probability, Linear Optimization, Differential Equations, Fourier Series + Boundary Value Problems (with some PDEs), Math Reasoning (proof writing). I placed out of Calc I and II by taking AP Calculus BC. Business Analytics - Risk Modeling, Statistical Methods (second semester statistics course), Data Management, Decision Analytics under Uncertainty, Operations Management Taking this year: Math - Linear Algebra, Real Analysis I, Theory of Statistics; Business Analytics - Time Series Modeling, Investment Modeling (both classes use R) GRE: Will take next year Recommendation Letters: Aiming for 3 letters from professors who I have taken several classes with and/or been a TA/grader for. Two are math professors and one is a business analytics professor. Academic Experience: TA for Operations Management (an optimization methods course for business students), Grader for Intro Linear Algebra Professional Experience: Data analysis intern at small tech company, data science intern at Fortune 100 company Coding Experience: R, SQL, Python Schools interested in: UCLA Texas A&M UNC NC State CMU Concerns: -Few proof intensive courses (will change next year with Linear Algebra and Real Analysis, but still might not be enough) -Math is not my first major. I added it recently after liking the other classes I've taken. -Business Analytics major might be hard to explain. I have taken various classes (listed above) heavily using probability, statistics, and optimization within the business school, though. I would really appreciate any comments/advice on my profile and how competitive I would be for the schools I listed. Thank you in advance.
  9. Greetings everyone! I am planning to apply for Biostatistics Ph.D./statistics master programs this fall. I am humbly and sincerely asking for your gracious advice! Below is my background: Institution: Top UC's (Statistics program ranking: 31) Major: Applied statistics (concentrating field: mathematics) I know it is weird... My intention is to learn more math since I switch my major from applied mathematics. GPA: 3.5 Type of Student: International Asian Male GRE General Test: Not taking yet, will do soon Programs Applying: Ph.D. in Biostatistics/Statistics Research Experience: 1 year of RA in biostatistical research experience and currently working on Large-scale biostatistical data mining. Teaching Experience: One-quarter of Learning assistant for calculus Letters of Recommendation: One from my research advisors, two from my statistics professors Relevant Courser Work: (P means Pass, some are optional) Math and Stat Courses: Cal 1-4: All (A's) | Linear Algebra: (B) | Elementary Statistics: (A) | Intro to Abstract Math: (C+) (with 70% of the class below C- range) | Differential equations for: (P) | Real analysis_1: Pass | Real analysis_2: C | Regression analysis: B | Statistical Data Science: B+ (right after I switched to statistics from Applied math major, without any R experience beforehand, worked really hard) | Probability theory: (P) | Time series: (C-) (was taking 5 upper divs at one quarter, trying to allay from my tuition burden, trying to finish in 4 years, therefore admitted sacrifice) | Nonparametric statistics: (C) (medical condition) | Analysis of categorical data: (C+) (medical condition) | Analysis of Variance: (B+) (mental medical condition)| Mathematical statistics: (A-) (medical condition) | Euclidean Geometry: (B+) (still in love with proof writing, want to prove myself) | Applied statistics: (B+) | Advanced statistics undergraduate independent study: (P) | Programming and problem solving: (B) (C language) Computing Skills: R (Proficient, but still learning and exploring), Matlab Applying to: UC Berkeley-biostatistics (master) Stanford - statistics (master) UCR - statistics UCSC - statistics SMU - biostatistics Duke - Biostatistics Columbia - Biostatistics University of Michigan - Biostatistics UIUC - statistics Notre Dame - Statistics University of Minnesota - Biostatistics CMU - statistics in Public policy University of Pittsburg - biostatistics NCSU - statistics Uccon - biostatistics ISU - Statistics USC - Biostatistics UCLA - biostatistics Yale - Biostatistics I am pretty sure that I am not competitive enough since both my math/statistics class rarely curved (Statistics department is known for the epitome GPA deflation ) I am preparing for the worst to come. Please enlight me and guide me through this, thanks! Please be critical for my school selection!
  10. Hi everyone, I am looking for some help about my list for Ph.D. programs in statistics. I figured now is as good as ever to post a profile especially because I am starting to work on my personal statement, SOP, and am trying to figure out my life a little more before senior year starts. Any advice is really appreciated as I am pretty different from most of the posters who are on this forum, so I hope my profile will help those who are in a similar boat to me! I apoloigize for the length but my background really isn't the traditional application you would see. Undergrad Institution: Small LAC in PA Major: Mathematics and Finance GPA: 3.45 (overall), 3.3 (Math) Type of Student: Domestic White, also a very well decorated NCAA athlete, if that helps Courses/ Background: Calculus I-III (B+), Linear Algebra (C+) , Mathematical Statistics I&II (B) , Transition to abstract math (proof writing) B+, Combinatorics and Graph Theory (B), Math Analysis (B), Experimental Mathematics (A), Independent study: Statistics; researching rivalries (A), Independent Study: Statistics; predicting voter turnout (A) Next semester I will be in: Math: Abstract Algebra, Linear Algebra (Graduate level to show I can do linear algebra because I was dealing with personal issues that semester), Statistical Models, CS: Multimedia in Python (if relevant) GRE: Retaking! 158 Q / 156 V (I'm a terrible standardized test taker, but hope to hope to be around 160-163 Q) Research Experience: 3 total years of research. One paper in statistics on assessing the prevalence of gerrymandering is in review now (done with my advisor and I), we are currently working on another project related to voter turnout (a paper will come out of it by the fall, again by my advisor and I), Previously a research assistant on researching rivalries in baseball (with a very famous mathematician) ,Have an OEIS sequence pending review now for publishing (I constructed a new sieve to find all prime numbers), Finally, Will be a Researcher in algebra in the Spring Letters of Rec: I will have 4: 1 from my advisor, 2 from professors I have done research with, and 1 from the research coordinator. I would say they will be pretty good. I am very close with my major advisor and he is a very good writer, and knows a lot about me. My statistics research advisor graduated from PSU a few years ago, and we have been doing research for 2+ years, onto 3. My other research letter is from the dept head who I did baseball research with. He is very well known in sabermetrics (baseball statistics), and I hope that will help. Finally, my last letter writer is the REU program head, and I have had him in numerous classes. He was one of the directors of DIMACS at Rutgers and he not only knows a lot of people but is also pretty famous. He worked with some of the most famous graph theorists and knows a lot about the process as he has sat on graduate committees for 20+ years, so I hope he knows what to write! Awards/Honors/Recognitions: Dean's List, Outstanding poster award at JMM18 for statistics (given to 3 kids), Presented research at 7 conferences (including JMM), Have research grants over the last 2 years including 2 summer REU's in number theory. Given my academic record is all over the place (I dealt with crippling migraines which I have every day for 2 years, hence my poor performance) I will be applying to a lot of school. However, the two semesters I haven't dealt with migraines, including the last semester, I received a 3.8 so my grades are on the way up, and the trend can be seen in my math GPA as well! Schools: GW Temple South Carolina UConn NCSU (Because of all my spatial statistics research, I know its a reach) FSU UNC Charlotte (applied math) UNH PSU (research advisor just graduated a few years ago from there) VT Rutgers UMich (family friend runs a bio lab there) UMD (best friends dad has a astrophysics lab there) George Mason UVA OSU UC Riverside UNC UGA UF I know the list is very long but that is because I would be happy going to pretty much all of them, I just need to get into one! Thanks so much for any of your help! Ben
  11. Hi all, I am trying to apply for top 50 programs in US but since I did my undergraduate and currently doing my Master at Canada, I don't really know what my chances are. So hope somebody can help. Undergraduate Institute: Canadian Institution (Top 200 in the world by QS subject ranking) Undergraduate Degree: Financial Statistics Master Institute: Same school Master Degree: Statistics Type of student: International Undergraduate GPA: 3.9 Math & Stats GPA: 4.0 Graduate GPA: 4.0 GRE: 168 Q, 150 V, 3 Writing (Will retake) Courses: Real Analysis I and II, Advanced Probability and statistical inference, machine learning, spatial statistics, Bayesian statistics, statistical computing, stochastic process, computational neuroscience, biostats and epidemiology. Research Experience: Undergraduate research assistant for a professor doing option pricing. Two major poster projects for Master degree. Presented at a regional conference. One Master thesis. Also worked in a neuroscience lab for computational neuroscience. One paper submitted in the field of astrostatistics, don't know whether accepted and won't know before the application. Teaching Experience: Freelance tutoring and working for a tutor company starting from undergrad, TAing an undergrad intro stats course. Coding: R, MATLAB, Python Letter of Rec: 3 letters, one from my main supervisor which I am very close to. Sort of a "big name" in time series. One from my secondary supervisor from astronomy working on astrostatistics, big name in astronomy. Last one from the supervisor in the neuroscience lab, pretty big name in neuroscience as well. List of Schools hoping for: CMU, Michigan, UNC-Chapill Hill, Penn State, Purdue, Yale, UIUC, Rice, Boston Concerns: Fearing that my main supervisor might not be keen to write a strong rec cuz I had a bad professionalism problem with him before. Also I am not quite good on the social-side of things. Also might not be able to get a good GRE verbal because English is not my native. Are the schools I listed realistic? Are the top programs like CMU and Michigan a reach for me? Thanks a lot!
  12. I would like to ask for your opinion regarding my application for PhD programs in Biostatistics 2019. All programs seem to require strong background in mathematics, demonstrated by several semesters in Linear Algebra, Advanced Calculus, ideally Real Analysis and Numerical Analysis as well. Some top programs seem to favor students with previous experience in programming languages such as Python, R or MATLAB. However, I am not sure if PhD programs in Biostatistics also require previous exposure to Biology and/or Genetics of any sorts. I graduated with a bachelor and a master degree with heavy mathematical/statistical components from a top UK institution (my bachelor degree was in fact mathematics with specialization in statistics). But I am not sure if the lack of formal training in biology will be a big disadvantage to me when applying for top Biostatistics programs. Apart from PhD programs in Biostatistics, I am also applying to Statistics programs, where there are faculty members with interests in biomedical sciences. Thanks very much for your opinions.
  13. Undergrad Institution: Top 5 Undergrad Institution, Top 5 for Statistics - USNWR Major: Statistics GPA: 3.1/4.0 cumulative, 2.97/4.0 major (No excuses, I wish I had worked harder. The students here are very smart and talented) Type of Student: Domestic Asian Male Undergrad Courses: Calculus I-II-III (B, A-, B+), Introduction to Computer Science I-II (C+, B-), Computer Systems (B-), Regression (B+), Probability (B), Time Series Data (B+), Statistical Theory I-II (B, C+), Linear Algebra (B-), Discrete Math (B), Algorithms (B) Graduate Courses: Machine Learning (B+) GRE: Q: 170V: 163 W: 4 Mathematics GRE: N/A Programs Applying: Statistics MS Research Experience: Spent both summers as a Research Assistant. Built a large scale data visualization application first summer in a CS institute. Working at a Data Science Institute for this summer. Both are a part of my university. Recommendation Letter: Two with senior researchers that I RA'd for; one from a well-known CS professor that I've taken two classes with. One from a Stat professor that I got along with and may do research with this summer. Coding Experience: R, Python, C/C++ Other experience: Software Engineering Intern for a large consulting company. Worked in their IT Department. Awards/Honors: N/A I have no clue which schools to aim for. Would love MS program recommendations.
  14. Hi, I know I have a very weak academic profile, but I was wondering if I'd have any chance to get into a Stat PhD program, say top 30-40 ish. I'm currently majoring in Mathematics and Statistics at UChicago. To give you a little explanation about my low GPA, I was not thinking about academia and was mainly looking for a job in Finance until 2nd quarter of my junior year. The job I was seeking for doesn't really care about what kind of courses I take, so I took a lot of junk classes in order to compensate for my low math grades. UChicago by itself is a pretty harsh grader (GPA 3.25/4.00 makes deans list), and our math program is known to be pretty hard (have to take 1 full year of real analysis and 2/3 year of abstract algebra), but I wonder if PhD program admission's office care about this at all... I recently got interested in Statistics, so I decided to double major in it. Luckily, there are a lot of overlaps, so it's very feasible for me. I think the rigor of the classes that I took and am planning on taking are not bad, but I wonder if I'll be able to overcome my low grades. I'm willing to work a couple more years as a research assistant after I graduate if that'll make a significant difference. So to summarize, I just want to know if I have any shot to get into top 30-40 stat PhD program. If so, I still have one more year left, so I'll try my best to get grades and work as a research assistant. Thanks a lot in advance! Undergrad Institution: University of Chicago Major: Math and Statistics GPA: 3.65+ (overall), 3.3+ (Math) Type of Student: Asian international student Courses/ Background: Math: Honors Calculus 1 (B+), Calculus 3 (A), Intro to Analysis & Linear Algebra (A-), Multivariable Calculus (A), Real Analysis I (B), Real Analysis II (B+), Real Analysis III (took twice, pass/failed the first one, and got A- second time), Abstract Algebra 1 (B+), Abstract Algebra 2 (A) Stat: Elementary Statistics (A), Statistical Theory/Method-1 (B), Analysis of Categorical Data (B+), Mathematical Probability (Accelerated) (A) Others: Computer Science with Applications 1 (Pass), Computer Science with Applications 2 (B+), Computer Science with Applications 3 (A) Planning on taking: Math: Complex Analysis, Ordinary Differential Equations Stat: Nonparametric Inference, Machine Learning, Time Dependent Data GRE: Haven't taken it. (1600/1600 SAT) Research Experience: 3 months of research assistant at Booth School of Business at UChicago, helped with data mangement (wrote STATA algorithms) Awards/Honors/Recognitions: Dean's List
  15. Past years: 2013, 2014, 2015, 2016, 2017 As someone who read and used the past results a lot during the process please contribute even if you don't want to fill out all the information. You will only be allowed to edit for an hour so you might want to wait until you have all your results. Below is the template: 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.) Math/Statistics Grades: (calculus sequence, mathematical statistics, probability, real analysis 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
  16. Hello everyone, I will be applying to Stats Phd Programs and was inquiring if someone could help me figure out what range of schools I should apply to in terms of Competitiveness. Here's my profile (I don't want to give too much personal information (i.e. I don't give too much information for example on research projects) , but here's what my profile generally looks like: Undergrad Institution: Top 20 US News (according to UsNews) private university Major(s): Mathematics GPA: 3.9 Type of Student: Domestic US Student Programs Applying: PhD in Statistics Research Experience: Different projects involving R, independent studies with professors on theoretical graduate level topics. Letters of Recommendation: Should be good Math and Statistics Courses (Grades A or A-): Real Analysis I, Real Analysis II (with an introduction to Measure Theory), Abstract Algebra(Groups, rings, fields), Complex Analysis, Probability Theory, Mathematical Statistics, Graduate Level Numerical Analysis (with proofs, emphasis on analysis and normed vector spaces), Linear Algebra and Diff Eq, Calc I-III. Will be taking several additional graduate courses, fall semester senior year. Concerns: I'm not sure what range of schools I should apply to. I know it is very difficult to get into Phd programs. I'm having trouble creating a list of places to apply to. I don't want my list to be too conservative nor do I want my list to be too top heavy. What programs do I have a realistic shot of getting into? Thanks so much for the help.
  17. Here is my profile: Undergrad Institution: Large state school (not so high ranked) Major(s): Mathematics Minor(s): Computer Science Cumulative GPA: 3.8, Major GPA: 4.0 Type of Student: International Research Experience: Got into Math REU this summer. Hopefully will get some experience there Letters of Recommendation: Should be good GRE: Planning to take this august. Aiming for atleast 330 Aiming for Industry Jobs after phd Concerns: The main theme of the REU program is Algebra and Discrete Mathematics where many works are done in numerical analysis, real analysis, abstract algebra and graph theory. My question is, since it does not involve statistics, will this be helpful for me while applying for grad shool for phd in statistics? Also, I will be taking lots of major proof based courses like real analysis, complex analysis, abstract algebra, next semester and grades will be turned in by Dec 10. Since the deadline for most grad schools is Dec 1st, I think that would be too late as I will have to send my application by then.Will this hurt my application? Lastly, I would like to know the prospect of lower ranked programs from universities such as University of Virginia, or University of Iowa. These schools have deadline in Jan 15 which I can make it but I do not know how good their placements for industry jobs are. Any help would be highly appreciated! Thanks!
  18. Hi All, I am recently rejected by all 20 Ph.D. programs (mainly in statistics) to which I applied. Though a few considered me for their master programs after Ph.D. rejection, none ended up extending me a master admission. Unfortunately, I did not separately apply to other master programs. I am still quite interested in pursuing a Ph.D. in statistics (or related areas) to prepare for a research career (not necessarily in academia). I am looking for advice on what to do for the upcoming year(s) to better prepare for another round of application. Below are some of my stats. ---------------------------------------------------------------------------------------------------- Undergrad Institution: US Large State School (US News Ranked Top 50) Major(s): Mathematics, Statistics, Finance, Accounting Minor(s): Computer Science, Computational Science and Engineering GPA: 3.98/4.00 (Overall), 4.00/4.00 (Math + Stat) Type of Student: International Asian Male GRE General Test: Q: 170/170 (97%) V: 158/170 (80%) W: 4.0/6.0 (60%) GRE Subject Test in Mathematics: M: 860 (88%) TOEFL Score: (116 = R29/L30/S29/W28) Grad Institution: N/A Programs Applying: Statistics (14) + Applied Math (4) + Operations Research (2) = 20 Ph.D. programs Research Experience: No publications. No REUs. Several research projects and independent study projects at my institution. My senior thesis/project won a college-level research award of $1,000 ($500 for research grant, $500 for scholarship). Awards/Honors/Recognitions: - Within institution: Overall GPA < 3% of graduating class. Dean's list every semester. Student president of an honor society. A few small amount scholarships. - Outside institution: A 2nd place price of a midwest local data science competition. A leadership award by the national chapter of an Asian student org. Pertinent Activities or Jobs: - Internships: one consulting, one actuarial - worked ~ 15 hours/wk at various university offices (as tutor, accounting intern etc.) during my sophomore and junior years - Some student org involvements Letters of Recommendation: - 4 letters: 2 from professors with whom I did research/independent study, the other 2 from professors with whom I took advanced classes - Pretty sure at least 3 out of the 4 letters are (very) strong - not sure if well-known, but 2 recommenders are department director/grad chair respectively at my institution Math/Statistics Grades: - All A/A+ for Mathematics, Statistics, Computer Science, Computational Science and Engineering - Relevant Undergrad Classes Real Analysis (honor, A), Analysis on Manifold (honor, A+), Applied Complex Variables (A+) Abstract Linear Algebra (A+), Intro to Abstract Algebra (A+) Intro PDE (A) Linear Programming (A+), Nonlinear Programming (A+) Foundations of Data Science (honor, A+), Advanced Data Science (A+) Statistical Computing (A+), Artificial Intelligence (A+) Time Series (A), Regression and Experiment Design (A+) Probability Theory (A+) - Grad Classes (My school has many classes that enroll both master and Ph.D. students) Microeconomic Theory I (PhD, A), Theory of Asset Pricing (PhD, A+) Mathematical Statistics I (Master/PhD, A) Statistical Learning (Master/PhD, A+) Numerical Analysis (Master, A) Applied Stochastic Prosses = Markov Chain (Master/PhD, A+) Models of Dependent Risks (Master/PhD, A+) Concurrent (Spring 2018) in Machine Learning, Statistical Learning Theory, Mathematical Statistics II Any Miscellaneous Points that Might Help Hurt: - International Asian Male - Interested in statistical learning - No noticeable research experience Research Interests: Want to learn statistics and mathematics and do some applied work. On the technical side, interested in statistical learning, computational statistics, and some traditional topics (e.g. model selection). On the application side, interested in mathematical finance, risk management, and econometrics. ---------------------------------------------------------------------------------------------------- Any advice on programs to apply, strategies to prepare, or other pertinent points will be much appreciated.
  19. Hello everyone, I am a junior at a large public school in Minnesota and I am interested in applying for a Phd in Statistics at Stanford University. I am interested in working in the Data Science field and I am thinking of applying for Stanford MS in Data Science since obtaining an advanced degree in either statistics or data science will further my understanding as well as equip me with more tools to work in the data science field. Unfortunately, Stanford as well as many other institutions does not offer funding for master candidates. Do you think it is worth obtaining a Phd program or I will be better off pursuing a master program? If you think whether it is worth pursing a Phd program, how can I qualify myself as a Phd candidate? Should I choose a research paper to work on? I will graduate in the Fall of 2019 and I am working full time this summer as a Data Analyst. Thank you.
  20. Schoolwiz

    Stats 101

    I need help solving my final question on this problem. Question 4. Section E and F. Can anyone give me some direction. Thanks MA 321_Exam 3_Spring 2018 CAROLINE WILCOX.xlsx
  21. Hi Anyone joining the University of Washington in 2018? I am joining the Ph.D. program in statistics.
  22. Hey all, I am a mathematics undergraduate in my senior year at UTA. I will be applying to the Rice statistics program in the College of Engineering. I really want to be involved in some awesome research going on there! Feel free to respond if you too are applying to Rice for Fall 2019, are already in their graduate program (any of them), or would just like to leave an encouraging message! I really want to know details of what people who have been ACCEPTED to Rice's programs applied with (i.e., GPA, undergraduate degree type, GRE scores, etc.). Any help is appreciated! You can also just respond to freak out with me as we rise to this daunting task TOGETHER! FUTURE SCIENTISTS UNITE!! ?? GO RICE!
  23. I have received acceptance for MA Statistics from Yale and Berkeley. My plan is to do a Phd, whether directly after masters or after some work ex is something I will decide later. while Berkeley has the "better ranked" department, i feel that i would get more individual attention at Yale. Also, Yale will have more diversity. The Bay Area is right there so getting a job after Berkeley. but my dream is to work at NPOs and international orgs (like uN, WHO, BMGF, etc) which are at the east coast. please HELP!!
  24. Rose-Colored Dasein

    PGR vs Placement

    Hello, everyone! Given the strange concern some of us have for getting a job after completing our PhD programs, I decided to undertake a friendly/nerdy investigation. Perhaps this has been done before; at any rate, I found it enlightening. Maybe it will help you too, as we reach the final stage of our decision making. How strongly do Leiter's current (2018) Philosophical Gourmet Report (PGR) rankings correlate with job placement into permanent academic positions? Rather weakly, it turns out. I contrasted the PGR data on a spreadsheet with placement data from 2017 research funded by the APA from the years 2012-2016 with some interesting results. (See below for a link to the data.) Before I report my findings, I should note a few caveats: The APA placement data reports the most recent placement status of a given graduate within the time period, so some of those in permanent academic positions are surely second- or third-year hires, given the substantial number of PhD-earners who don't get placed for a year or two. Leiter has criticized the APA-funded data for leaving out postdocs (who may have postponed a viable permanent academic position). This is good to keep in mind; however, a number of the postdocs would have applied for positions within the 2012-2016 period, which at least ameliorates the problem. I use the terms “weak” and “strong” for correlations in an intuitive rather than a technical sense. Numbers can be presented in very biased ways, especially when statistical or categorical lines in the sand are drawn. I do draw such lines, so take my categories with a grain of salt. I left out altogether universities outside the United States. Also, when a university was distinguished from its HPS (history and philosophy of science) program, I reported whichever of the two had a higher placement rate and left the other out altogether. So, for example, when calculating the PGR representation of the top 50 schools for permanent academic placement, I divided the 29 PGR-represented schools by the 45 of the top 50 which don't fall under either of these two exclusions. There are, of course, other factors to consider besides employment: publishability, raw academic opportunity (and correlation with personal interests), oddball placement factors (school X never hires from school Y), teaching/research balance, etc. This investigation is limited, but within those limits it is insightful. Without further ado, here are some of my findings about the top 63 permanent-academic-placement (PAP) schools vis-a-vis the PGR top 50. 20 of the top 63 PAP programs are PGR-unranked. These include the following: Cincinnati , Baylor, Florida, Oregon, Tennessee, Villanova, Penn St., DePaul, Catholic University of America, Vanderbilt, New Mexico, Emory, Miami, Washington, Fordham, Stony Brook, Duquesne, Georgia, USF, and Iowa. Given the top X schools for PAP, where X is a multiple of 10 between 1 and 6, PGR never includes more than 67.3% of them. Representation always declines as we approach the top of the PAP list (except moving from top 50 to top 40, but the difference is a negligible 0.4%). By the time we reach the PAP top 10, PGR only predicts half of them. There are 11 PGR-unranked schools that have PAP rates of 50% or better. (On the above list, these consist of everything from Cincinnati to New Mexico). This rate is better than that of half (25) of PGR-ranked schools. 10 PGR-ranked schools, ranging from PGR-rank 9 to 40, placed too low even to be considered by the APA study, which bottomed out at 38% PAP. These programs include UCLA, CUNY, Brown, and Duke. Only 1 of the 8 PGR “bubble” schools (Nebraska) was in the APA top 63. Important: It is true that PGR rankings do correlate more strongly with PAP into PhD-granting programs. Of the 20 high-PAP schools that are PGR-unranked, only 3 place students into PhD-granting programs at a rate of 10% or higher. By contrast, half of the PGR top 50, including the entire top 20 (minus some of the PGR-ranked schools which placed too low overall for APA consideration), place students into PhD-granting programs. Here's the link to the APA-funded study. The portion relevant to my post begins on page 43: https://www.dropbox.com/s/61qgeway2nyhr7x/APDA2017FinalReport.pdf?dl=0 Bottom line: If you're cool with teaching undergrads, PGR isn't going to be very helpful. If you strongly prefer teaching graduate courses, PGR is going to be very helpful; however, at that point you might as well just look at the APA rankings for PAP placement into PhD-granting programs. Hope this can help someone.
  25. I've read a lot of posts asking about a low GPA and getting into masters programs, but I thought I'd ask about my particular situation. I wasn't going to, but now I am at my wit's end. I thought I could recover my 3.1 GPA this semester because I got a 96 on the first exam in Multivariable Calculus, but then I got shit on by this past exam and will most likely be getting a B+ in the class. I'm a junior majoring in Mathematics-Statistics and minoring in Computer Science at the University of Connecticut. My relevant grades are as follows: * Calc 1 = A- * Calc 2 = A- * Multi = Pending (but hopefully B+/A-) * Linear algebra = B * Differential Equations = A- * Introduction to Programming Principles = B- (notoriously hard) * Data Structures = B * Discrete Systems (Discrete math in CS department) = B * Intro to Proofs (Basically repeat of Discrete Systems but way more writing) = Pending (Looking like A-) * Algorithms = Pending (Looking like B/B+) * Intro to Software Engineering = Pending (Looking like A-) * Computer Architecture = Pending (Looking like I'm taking these before I submit my applications. **Fall 2018** * Statistical Methods * Probability * Numerical Analysis * Mathematical Statistics 1 * Mathematical Modeling * Design of Experiments The reason for the low 3.1 GPA is that I transferred after my freshman year, and therefore had less time and classes to balance out my C- in Gen Chem 1 and C- in Gen Chem 2. I also have W's in Intro to Stats (yikes) , Theory of Computation, and Microeconomics. Grad school was never in my mind until recently so I never thought W's would matter, but now I hate myself for not sticking through it. I know my grades are a disaster, but I'd really like to continue my education and learn statistics in depth to become....get this.... a data scientist. I am going to apply to masters programs in statistics in early January so that I can have an extra semester to bring my GPA up. If I can get my GPA up to a 3.3-3.4, get excellent LORs from professors and kick ass on GRE (like 165+ in Q), do I have a good chance into getting into these schools: * University of Connecticut (#1 CHOICE) * Central Connecticut State University * Iowa State University * University of Maryland * UC San Diego * UC Davis
×

Important Information

By using this site, you agree to our Terms of Use and Privacy Policy.