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Found 10 results

  1. Hi! I'm a rising senior this upcoming semester and planning to apply for Stats PhD programs (possibly Biostats as well). I'm mostly interested in doing research in bayesian statistics / machine learning and survival analysis, but that could change. I'd appreciate any suggestions on reachable schools with my application. I prefer programs in East Coast, especially New England and West Coast. Thanks for your input! Undergrad Institution: top 30 LACs Major(s): Statistics Minor(s): Computer Science GPA: Current 3.83 (might be able to reach 3.86 by the time applying) Type of Student: International female (attending US college) GRE General Test: Q:170 V: 160 W: 5.0 Applying to: Statistics/Biostatistics PhD Research Experience: have done 1-year research in statistical methodology in multivariate analysis; had to wrap up because of covid. Am doing summer research internship (at a well-known cancer hospital) in survival analysis and longitudinal analysis which I plan to turn it into a senior thesis. Letters of Recommendation: One from my current mentor - a scientist at the research center, one from the former prof that I worked with for my previous research; one from my CS prof. I'm thinking of asking another one from the prof I requested to be my thesis supervisor. Math: Multivariable Calc (A), Linear Algebra (A), Discrete - proof based (A), Probability (A), Mathematical Statistics (A) Statistics: Applied Regression/Statistical learning (A), Methods in Data Science (B+), Nonparametric Stat (A), Experimental Design (B+), Exploration of Time Series (1 cred - A) CS: OOP in Java (B), Data Structures (B), Algorithms (A) Planning on taking: Real Analysis, Optimization, Theoretical Math Stat (grad-level) and Machine Learning this fall. Planning on Applying to: I really have no idea what schools are reachable. I originally planned to become an investment banker and switching to research was a big career change to me. Rankings do not matter to me as much as locations and the working environment. I don't plan to take GRE Subject Test. Can you guys give me some recommendations on schools that I might be able to reach given my application and preference. Thanks for your help!
  2. Hello guys ~~ Quick intro: I am international Asian female who just graduated from undergrad. I was supposed to head for my investment banking full-time job in NYC (after receiving their return offer from my junior year's internship). Due to COVID-19 complications, I headed back home (another country) and reflected on my journey. Realizing IB is (affirmatively) not what I saw myself enjoy doing, I decided to quit the offer and planned to go back to school for a Master's in Applied Stats/Data Science (I have always wanted to pursue this route to later on work on social problems back in my country). People still call me crazy but I was finally able to take the steps I wanted and I am proud of myself for letting go at the right time. Undergrad: Top 15 National University in the US Majors: Applied Math / Minor in Econ GPA: 3.9 / 4.0 for both major and overall Relevant courses: Calc I, II, Multivariable Calc, Linear Algebra, Methods of Ord Diff Equs, Number Theory, Abstract Algebra, Discrete Math, Intro to Data Science, Econ Stats, Optimization. All A's except Abstract Algebra (B+). Taking online course in Time Series Analysis. GRE: Taking soon, not sure what to expect 😰 Research: Sophomore summer: Research Assistant for Dept of Aeronautics (involved in the math portions only) at local university in home country Since March 2020 (After going back home): Project Assistant for Space team for a national project funded by Foundation for Science and Tech Development. I am mostly involved with the optimization algorithms. TA for a data mining course and methods of diff equs Publication: One paper I co-authored is accepted and pending for publication Work Experiences: - Currently interning for local tech company on AI, Big data - Investment banking summer analyst in Mergers & Acquisitions in New York City - Interned for the State to solve a social issue, in charge of data analysis using Excel, but later took the initiative to use R to enhance my findings Recommendation Letters: Tbh I am afraid of reaching out because I havent kept them updated after taking their classes, but I did build really good rapport with some of them. So 2 from my undergrad (a data science prof and a math prof) and 1 from my current research supervisor at the local university back in my home country' Goal: I am looking into applying for Top 20 Masters of Applied Stats/Data Science at UPenn, JHU, UChi, Harvard, Columbia, Stanford. I know I am reaching here but I really want to see what I am capable of after so many self-agonizing doubts about my decision to quit the job. I am concerned about my lack of Stats background (during undergrad I never thought I would do applied stats; thats why I only took econ stats). I don't know if my profile is competitive for these top 20 masters programs? If not, is there anything I could do to improve my chances of getting in? I also lack research experiences in the States (I was preoccupied with finding a job in IB; hence, only one summer research assistantship back home) Any comments/advice would be greatly appreciated!! Thank you so so much in advance!
  3. Undergrad Institution: Top 20 Public US School Major(s): Statistics Minor(s): Math GPA: 3.61 Type of Student: Hispanic Domestic Male, in-state Georgia GRE General Test: Q: 160 V: 159 W: Unknown (expecting a 4.5) Applying to: Statistics Masters Research Experience: 1-year research study in time series and forecasting Work Experience: Math/Stats Tutor, Technical Consultant for company providing business intelligence solutions for gas and electric utility companies LOR: One from research advisor, one from department head, one from either advanced math professor or from CEO of current employment Math: Calc I (B), Calc II/III (A-), Linear Algebra (B), Advanced Mathematics (B-), Advanced Calc (C+) concerned with poor performance in math courses Statistics: Mathematical Statistics (A), SAS Data and Stat Analysis (A-), Applied Stats (A), Biostats (B+), Time Series and Forecasting (A), Applied Regression Methods (A-), Statistics in Practice (A) Applying Where: Georgia Tech: MSc Statistics Out of State: Iowa State: MSc Statistics Purdue: MSc Applied Statistics Texas A&M: MSc Statistics Berkeley: MA Statistics Almost exclusively looking at Georgia Tech, and I'm wondering about the likelihood of getting accepted, and whether I should retake the GRE for a higher Quant score to appear more competitive.
  4. Hi Everyone! I was wondering if I could get some advice on what tiers of schools I should apply for? I am going to apply for an MS in stats OR CS (Fall 2021). Demographics: Eastern European Undergrad: McGill Major: Joint Honours Mathematics and Economics GPA: 3.72 overall, Math major GPA: 3.73, Econ major GPA: 3.65 Coursework: MATH: Calc 3, Advanced (A,A), Honours Algebra 1, 2, 3, 4 (A,A-,A,B-), Honours Analysis 1,2 (A,A-), Honours ODEs (A), Honours Probability (A-), Honours Nonlinear Dynamics (A), Honours PDEs (B), Honours Statistics (A-). ECON: Honours Econometrics I (A-), Honours Econometrics II (A-) and other Macro/Micro classes CS: Only took one Foundation of Programming class but currently I work in data science. Professional Experience: Working at a top tier consulting firm as an analyst/junior data scientist, mainly doing NLP and participating in building/deploying web apps on Azure/AWS. Doing a lot data cleaning and engineering. This mainly the reason I started considering CS or Applied Computing masters. Letters: I can get a very strong letter from a Senior Data Scientist colleague or form a DS Partner in the firm. Unfortunately, I did not do undergrad research but still can get good recommendation letters from my professors. GRE: Current GRE results V:155 Q:163. Planning to retake it. I am wondering what tiers of schools would be best to apply for? Which schools should I aim for and which should I keep as a plan B? I am mainly look for schools in the US and UK. Thank you very much for your help!
  5. Hi all! Like many others, I am seeking some guidance on my overall profile and would appreciate any feedback. Undergrad: Nothing Great but reasonably known Course of Study: Computational Math Major and Stats Minor GPA & GRE: 4.0 GPA ; 162V 167Q 4.5AWA Coursework: Single and Multivariable Calc, Linear Algebra, Probability Theory, Stat Inf, Intro Proofs, Scientific Computing, ODEs, Math Methods in Physics (Covers LARGE variety of topics), Complex Analysis, Number Theory, (May take Real Analysis or a Data Analysis class), Applied Dynamic Systems Research: Nothing major just a senior thesis about RNG Schools: Reach: Harvard (MS Data Science), Univ of Mich (MS Appl Stats), Stanford, Univ of Wash (MS Stats) Reasonable: UIUC (MS Stats), UCLA (MS Stats), Texas A&M (MS Stats) If any other info would be helpful please feel free to let me know Thanks all
  6. 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.
  7. Hello all! First time posting here. I guess I'm looking for some sort of advice from other students who have applied to (and hopefully been accepted into) an MS in applied statistics coming from a non-traditional background. I graduated with a BS in Psychology with a concentration in neuroscience. I didn't get much exposure to mathematics in my undergrad because I was under the impression that I wanted to go into clinical psychology and become a psychologist. At the time, I was uninterested in research and academia. Once I graduated, I was able to land a job related to my field as an EEG technologist. At this time, I found that I absolutely loved working with neuroimaging data and in research in general. After some soul searching, I realized I wanted to get my masters in statistics and eventually pursue a PhD (still unsure if I want to pursue the PhD in Biostats, Cognitive Science, or Neuroscience, but that's an issue for another time). Fast forward 6 months. I have began taking the Calculus series and will be finishing that up along with linear algebra this coming spring (have been receiving A's in all of them so far). I reached out to a researcher who is doing some work with neuroimaging and have been working with him and learning how to process the data over the last 6 months. I might be getting a job offer from them soon which would mean I can focus on data analysis and statistics full-time! I've been managing all of this while working full-time which has been challenging, but I am also the happiest I have been in a long time. I've uncovered a hidden love for mathematics within myself that I honestly never thought existed. I have already reached out to a couple of advisers within programs that I'll be applying to and they seem willing to take on students from a different background. The biggest issue at this point has been self-doubt. I keep thinking to myself that I am not smart enough to get into this field, or that I don't really deserve the grades I've been getting, or that it's too late to make a career change. Anybody else have experiences applying for a different masters program or navigating a career change? Any advice for someone applying from a non-traditional background? I am also a female, and I have heard that sometimes getting into statistics programs as a female can be easier? I'm unsure if this is true, can anyone validate this? My apologies if this post is a little all over the place. My mind is nearly constantly in a state of excitement about the future and anxiety about how my unrelated background might make it difficult to break into this field. My current schedule also makes making time for sleep difficult. Anyways, Any and all advice would be appreciated!
  8. I'm thinking about returning to grad school after an 11 year absence from studying and advanced mathematics. Statistics is the field I am most interested in, and I have the right undergraduate prerequisites (Calc I-III, Linear Algebra, Prob & Stat). However, I'm worried about being rejected because of how long ago my coursework was. I've been in education since that time and haven't really used or reviewed any upper-level mathematics. Ideally, I'd like to get into a mid-tier program. Application deadlines for Fall 2017 are coming up and I'm trying to decide whether or not it makes sense to apply this year and how programs would view a mid-life career-change candidate with my background. My undergrad GPA (in EE) was 3.7 and my GRE scores are good (top 5% verbal and math), but I didn't take the GRE mathematics subject test this year. The programs I'm looking at do not require the subject test. Would I have any chance of being accepted if I applied this year, or should I spend a year reviewing math, take the GRE math test (to demonstrate to programs that I still can remember how to do the upper level stuff) and wait to apply until next year? If I were accepted for 2017, I'd spend the summer reviewing mathematics anyway. Are first year courses in MS stat heavily reliant on advanced calculus, or do programs just want to see that you have ability in math? It seems like some people have gone on to study statistics even after doing some undergraduate degrees in completely unrelated areas. Any and all advice will be greatly appreciated.
  9. TL;DR: As an American, does it make sense to consider a MS in Statistics in Europe (Germany, Switzerland, or England) prior to applying to PhD programs in the US? I am confident that I want to do a PhD in Statistics in the US for a number of reasons: reputation of the top US universities, better funding, structure of PhD programs, and lack of language barrier (English is my native language*). However, I am entertaining the idea of first doing a MS in Statistics in Germany, Switzerland, or the UK. I am interested in how this might affect my chances of getting into a top statistics PhD program in the US. Rationale: My German girlfriend of 4 years lives in Hamburg and is tied to the city for at least the next 1.5 years, so I would like to narrow this gap somewhat, even if we can't live in the same city. (It's a world of difference to be able to visit each other over long weekends than to suffer the expanse of the Atlantic.) Bolster my applications with research experience during my master's studies, as I currently have precious little to boast. Also, cultivate relationships with professors for letters of recommendation. Low cost -- at least in Germany & Switzerland: tuition in Switzerland is very low (<1,000 EUR/year), although cost of living is high; and tuition in Germany is free, just leaving room and board. Bureaucratic reasons (Germany). It's likely that I will eventually move back to Germany, and a degree from a German university gives me nearly unhampered access to the German labor market, as the state does not require employers to demonstrate a lack of qualified German applicants for a position, given that the non-EU applicant holds a degree from a German university. Programs I'm considering: In England: LSE - MSc Statistics (1 year) Imperial College - MSc Statistics (1 year) In Switzerland: ETH Zürich - MS Statistics (1.5 years) In Germany: LMU Munich - MS Statistics (2 years) Berlin (consortium of Humboldt, TU, FU, and Charité : 2 years) - MS Statistics Concerns: Potential poor performance, as I am not accustomed to the academic systems at these universities. From what I gather, they tend to place a substantially higher emphasis on final exams, often basing entire class grades on these. This unnerves me, as I sometimes succumb to test anxiety and excessive time pressure can be my kryptonite. Additionally, the distribution of grades – from what I hear – can be rather severe compared to the US. For example, I've heard it's not uncommon for half the class to fail a major test or for nobody to receive the equivalent of an A grade in courses at Swiss and German universities. Professors may be more aloof. For example, they might be less willing to explain tricky concepts during office hours, less likely to write a glowing letters of recommendation, and less likely to entertain the possibility of a research assistantship. Lack of prestige in the eyes of US admissions committees. While the Oxbridges and LSEs of the world are international name brands, the German universities worry me, as few Americans are familiar with German higher education. Cost. While an masters program in the US would doubtlessly be more expensive, possible direct acceptance into a PhD program in the US would be the least expensive option, especially considering the opportunity cost of the time invested an MS program. What do you think about pursuing a MS in Statistics in any of these countries as preparation for a PhD in the US? A lot of what I've written is conjecture, some of which is surely incorrect. Please correct me wherever you can. I'd especially appreciate advice from those with experience navigating both US and European university systems or with insight into PhD admissions with regard to foreign degrees. * I do speak fluent German, frequently passing as a native speaker and definitely surpassing the necessary proficiency level required study at a German university. Still, I'm less articulate, slower taking notes, prone to make minor errors in academic writing, and less sensitive to nuances in the language compared to English.
  10. I received an acceptance letter from GA tech ISYE department, but it says that acceptance is not final until I receive one more letter from the graduate admissions office.Is there a chance of being declined admission by the institute,even after being accepted by the department ,or is it just a step to check the authenticity of the application material.I have a deadline to accept another offer by 23rd and GA Tech is on spring break till 25th.Can I be sure I will receive the other letter?Or am I risking it by letting the other offer go?
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