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Found 53 results

  1. Not sure if this is the right place to post my question, but if there are any biomath/math/bio people hanging around your help would be very appreciated. I am a second-year undergrad at the University of Washinton trying to plan out a course of study that will get me into graduate school for biomathematics. This coming fall I will declare microbiology and also apply to my school's math BA program (yes, I know a BS would be better, but my school has weird rules about how many credits you're allowed to take if you have 2 BS degrees). I am also involved in a bioengineering lab, and planning on doing some TA-ing for credit. I'm trying to make sure I take all the classes I need, and also that I graduate in a timely manner. I have heard that five years is ok as long as they don't think you're doing it to reduce your courseload (I'm not, but there's only so many STEM courses you can take in one quarter... ) What are some class recommendations that you have? How few credits is too few? Am I taking things in a bad order? I have to take 225 credits to graduate but will likely hit the 255 limit. So far, my course plan (excluding gen eds) is this: 2nd year (46 cr year, 11 cr summer) - differential equations (1 quarter) - intro biology series (3 quarters) - third quarter intro calc - epidemiology of outbreaks (1 quarter) - Ochem - first quarter only - advanced multivariable calc (1 quarter) - matrix algebra with applications (1 quarter) 3rd year (45 cr year, 4 cr summer) - fundamentals of general microbiology, with lab (1 quarter) - introduction to mathematical reasoning (1 quarter intro to proofs class) - bacterial genetics (1 quarter) - probability I and II (2 quarters) - introductory real analysis I and II (2 quarters) - molecular bio of viruses (1 quarter) - prokaryotic diversity (1 quarter) - medical virology (1 quarter) - computer programming I (summer quarter) 4th year (47 cr year, 3 crc summer) - biochem three quarter sequence - Fundamental concepts of analysis (3 quarters) - introduction to modern algebra (3 quarters) - medical bacteriology lab (1 quarter) - genome 361 (1 quarter, summer) 5th year (42 cr year) - linear analysis (1 quarter) - calc-based physics (3 quarters) - topology I and II (2 quarters) - honors microbiology research (2 quarters) - undergraduate research paper (1 quarter) - medical mycology and parasitology, with lab (1 quarter)
  2. Hi! Starting a new thread just in case. I have a bachelors in ECE from an international university, a Masters from UCSD in Signal and Image Processing and been working in the industry for close to 7-8 years in Video Compression and more recently in 3D Computer Vision. I want to apply for a PhD in AMATH(Applied Math) starting Fall 2019(mostly). I am aware that I need to take the GRE Math Subject Exam and the General GRE as well. I do not have any research papers so far. I did lots of high school math competitive exams(dont think they count anymore). I am only hoping to do well in Math Subject test to prove myself. How realistic are my chances of a PhD Admit in AMATH? Will my work experience cost me a lot? Anyone else in the same boat?
  3. Complete Mastery of GRE Quantitative Comparison (and it's free!) Tuesday, January 9th, 7pm EST / 4pm PST / 12am GMT
  4. Hey all, I'm applying to a mix of math and computer science PhD programs and took the October mGRE. I was wondering, since most computer science programs don't require it, what would be a high enough score to consider it a positive addition to my application? I got around the 75th percentile, which from what I can gather is just on the bottom end of what top math programs are looking for. I'm applying to some very competitive schools and don't want to put anything on my application that won't help.
  5. I skyped one of the professors there last month. Both sides were quite positive about the possibility of admission. However, I am still a little bit concerned about the graduation rate and the courses, since I do not consider myself having a strong math background. Both my BS and MS are in engineering and I have some experiences and basic courses in PDE. Wonder if this is enough for a start. Thanks.
  6. Hi everyone,Kindly advise on my chances of getting into the following MFE/Quantitative Finance programs:-Baruch-Columbia-Cornell-NYU-University of Chicago-Georgia Institute of Technology-MIT-University of Washington-Boston University-Fordham-NYU Tandon-UCLA-USC-North Carolina State-North Carolina at Charlotte-RensselaerGender: M. Ethnic Background: White/European. American Citizen.Here are some of my accomplishments and skills:-May 2017 BS Mathematics graduate, 3.35 GPA (courses in Calc 1-3, DiffEq, Real Analysis I&II, Complex Analysis, Probability Theory, Topology, Advanced Linear Algebra, and few actuary courses [FM, P, MLC]). Top 100 ranked from US News National University in New York.-Full time work experience as a Pricing Analyst for an aviation engineering company. I've been there for 7 months already immediately after graduation and looking to stay for a year until I get in a FE program for fall 2018.Job summary: Develop integrated pricing models and cost analysis for aircraft component repair Forecast revenue/profit margins and present analyses and recommendations to executive management team Prepare business proposals, validate bills of material pricing, and leverage budget analysis to maximize revenue and mitigate risk -GRE Score: Q: 166 (91 percentile), V: 153 (61 percentile), Writing: 4.5 (82 percentile).-Financial representative internship at Northwestern Mutual during my undergrad.-Letters of Rec: 1) Calculus 1 & 2 Teacher's Assistant. This professor, who is the director of calculus at the university I graduated from, is writing my recommendation letter. 2) My math professor for advanced probability/stats, and 2 actuary courses in MLC (part I and II). I did very well in his classes. B, A-,A respectively in that order. 3) My former business development manager who was the previous pricing analyst as well and trained me. He now is in a different office for the same company; this left me to run the business development department on my own. I expect strong letters from all 3.-Limited knowledge of C++, Python, and Access. Haven't formally learned programming but I plan on getting take Baruch's C++ for Financial Engineering pre MFE course for C++ certification before starting in the Fall. -Working with the IT developer at my job to create a C++ program that predicts stock price volatility. He's doing the coding, I'm doing the math. -Advanced Excel skills, as I use it heavily at my job every day. -Private math tutor for with over 95 hours of tutoring and 5/5 star rating for all levels of math up to calculus 1.Please let me know if you think my profile is strong enough to gain acceptance for certain schools based on my experience. If you have any more questions to evaluate my profile do not hesitate to ask. Thank you for your time and I appreciate your help.-Transcending
  7. Fall 18 applicants OR/ISE/MSE

    Hi Everyone! Saw a very informative thread with some active discussion for Fall 17 (link above) so thought I should replicate it for Fall 18. Lets get to know each other better!
  8. Hey New gradcafe user and prospective MS applicant for an MS in Operations Research / Statistics / Management Science for Fall 2018. Please evaluate my profile and whether I'm being too ambitious/do I stand a chance here? Key features of my profile - Low undergrad GPA, high quant GRE score, related work ex Here's my profile followed by an initial university shortlist GRE 324 - Q 166 (91st percentile) V 158 (80th percentile) (Might give again to offset low undergrad GPA) TOEFL - Yet to give Undergrad CGPA - 6.3/10 from the National Institute of Technology Warangal in Mechanical Engg - Top 10 India for engineering Work Experience - 3 years 1.5 years - Data Analyst for a Fortune 200 MNC (1 promotion) + 3 good projects - Quantitative Sales/Marketing analytics 1.5 years - Senior Analyst for a Loyalty Card company (jump in designation from previous org) Fair amount of projects on quantitative modelling work Research papers/Publications: None Certifications: 1. SAS certified base programmer 2. SAS certified statistical business analyst: Regression and Modelling 3. Machine Learning from Coursera Recommendations: 1. HOD from work - ex prof at a premier MBA school in India - Strong 2. Team Leader from previous org - Moderate 3. Professor from college - Moderate SOP structure: Considering that my weakest point is my undergrad GPA, I'll bring in a point about how I messed up the first year but post that my gpa has been increasing plus ever since starting work I've been really driven and talk about my projects as proof. Programs I'm looking to apply for: 1. Statistics (with electives from the CS department) 2. Operations Research Not applying for "Analytics" or "Data Science" masters because I feel such programs have breadth but seriously lack depth. Current university shortlist: 1. Columbia 2. University of Chicago 3. UCLA 4. Georgia Tech 5. University of Michigan 6. John Hopkins 7. University of North Carolina at Chapel Hill 8. University of Illinois at Urbana Champaign 9. Duke 10. Cornell Questions: 1. What is my profile like? 2. How would you categorise the above universities considering my profile as Safe, Moderate, Ambitious and reasons for the same? 3. Thoughts on the SOP structure?
  9. Hey all, I didn't study a lot for the general gre because of a busy semester. Anyways, I ended up verbal-153, quant-157, aw-4.5. So I'm pretty upset about my quant score. Should I retake the gre? I am planning on applying to master's programs in stats/applied math at UC Santa Cruz, UC San Diego, UC Santa Barbara, UCI, and UCLA. I have a 4.0 GPA, two summers of research experience, three years of leadership experience with the math club at my school. Thanks, any input would be much appreciated.
  10. Hey everyone, I am applying next fall to Econ PhDs, shooting for something in the top 15. I had a 3.8 in undergrad in International Affairs - although had a B+ in a Principles of Macro class, and I'm finishing up a Master's in Development Economics with a 3.9 including a few A+'s in upper level theory and econometrics classes. 95th percentile quant GREs. About 2 years of solid RA experience and an internship at a leading development research group. My math backround is as follows: A in Calc for Business and Economics (UG), As in several statistics courses (UG), A in Elementary Linear Algebra (UG), A in Introduction to Formal Methods (UG), A- in Real Analysis (Graduate), A- in Math for Economists (Graduate). I decided to take Calc III this semester despite never really going through the normal calc sequence to try to check the calc box for admissions committees, and the class is killing me!!! I think that there is a very small chance I'll get anything more than a C. My question is how much would a W hurt my application? Given time and money constraints I won't be able to take another calc class before its time to apply next fall. Thanks for any advice you have.
  11. I'm a junior (pure) mathematics and physics double major and I have decided to pursue a masters degree in computer science upon graduation. One of the professors at CMU exposed me to Python during high school, and he basically planted the seed. Taking a course in computational physics last year reinvigorated my love for the computer science and programming, so here I am now! My general question is: what can I do to best set myself up when I start applying to schools next year? Here's some background (just so you know what credentials I have as of right now): 3.91 GPA I've been doing research in particle physics for about a year. Trying very hard to publish before I graduate. I will be doing an undergraduate thesis in physics based on this research My advisor (full professor, had him for two of my courses) thinks very highly of me and will write me a solid letter of recommendation 2 academic awards for physics 2 research fellowships I will be able to complete a computer science minor (and then some) before I graduate. What should I be doing to make my application more attractive? Projects? More coursework? Will my physics research be seen as favorable, or should work a computer science internship instead? Would it be bad if I got my letters of recommendation from math/physics professors and not computer science professors? These questions immediately come to mind, but there are many, many more questions to consider. Any advice at all would be helpful!
  12. GRE Scores

    How many points did you improve your GRE score? What did you start at and what did you finish with?
  13. GRE question

    Hello everyone, I recently took a diagnostic GRE practice test and scored a 156 on verbal and 154 on quant. I was wondering what the likely hood of getting above a 165 on both sections would be. Have any of you been able to increase your score more than 10 points per section? I will be taking the GRE on October 7th. Thank you
  14. Hello, I am looking for honest advice about graduate programs that I might have a chance of getting accepted to. I am an upcoming senior majoring in pure math at a small mid-tier private institution. I nearly have a 4.0 GPA (except for an A- in philosophy) and will be taking both the general GRE and math GRE in October. I have taken a variety of proof-based math classes, two comp sci classes, and will be taking probability and statistics soon. I've participated in an REU at my home university and am currently doing research with a different professor at my home university (both these projects were for pure math). I recently submitted a paper (not yet accepted) to a respected journal. I have a strong relationship with many of my professors and I will hopefully have a few good letters of recommendation. I am planning to apply for three fellowships, including the NSF-GRFP. Looking into PhD programs in Statistics, I am unsure if I would be a competitive applicant given that my school is not well-known. I have talked to a Statistics professor from my school who suggested that taking more stats classes would help my application. Because I am pessimistic about getting into a top-tier program for Statistics, I am wondering if anyone has any advice about what schools I could apply to. I don't want to aim too low and prevent myself from getting into a good school. But I am afraid that I might not get into any school at all if I aim too high. Honest feedback and responses are welcome. Thank you!
  15. Hi everyone, I am an international undergraduate student at a US university in Chicago. I am majoring in Mathematics and Computer Science and planning to apply for PhD programs for Fall 2018, focusing on Machine Learning/Deep Learning. I have been doing research in Machine Learning with one of my Math professors for the last couple of months (we were awarded a grant for two terms). By the time of the application deadlines, I will have done approximately one year of research and hope to have written a paper. Here is my profile: Major: Mathematics and Computer Science GPA: 3.95 LORs: All from tenured professors, one is my current research supervisor. (See Question 3 below) Research: As stated above, I have research experience. GRE: V154 (65th%), Q168 (94th%), AWA5.0 (93rd%) Here are my questions: 1) Do you think my overall profile (considering I will have good letters and SOP) would be a strong fit for top 20 schools? 2) Should I take the GRE again in order to get a better Verbal score? (Considering that I want to get into a T20 school) 3) So, my major is NOT a double major. It is a joint major, called Mathematics and Computer Science. Since math and CS have a lot in common, they made it into one single major. However, this major is not offered by the department that offers the Computer Science major. In short, for the last four year, my faculty advisor has been a math professor and I have been doing the ML research with a mathematician/researcher/professor. Although I got A's from all of my CS classes (except for one A- in my first quarter) and the professors of those classes know that I am an A student, I have not done any research or extra activities (e.g. competitions) with them. On the other side, my faculty advisor (who is a Math professor), my research supervisor, and a Math professor who is a graduate of Harvard and MIT (who wanted to try to get me an internship at one of the best software companies through her contacts because she thought I should be hired) can provide me with strong recommendation letters. In this case, considering that I am applying for PhD programs in CS, do you think it would be bad to have all the letters from these Math professors? As I said, although all of my CS professors know me and think that I am a good student, they will probably not be able to state any strong sentences about me in a recommendation letter other than just saying I was a "hardworking" student and received an A from their class. (Also consider that my school runs on a quarter system, meaning that each quarter is 10 weeks. So, when I take a CS class, the professor has 10 weeks to get to know me, rather than 4 months in a semester system). Therefore, who should I ask for recommendation letters? 4) Do you guys have any program/researcher recommendations for me for the PhD? (AI/ML/DL) Thanks in advance.
  16. GRE: To Retake or Not

    Hi all, I recently got my GRE Scores: 165V / 163Q / 4.0AW Those are decent scores but I am wondering whether I should do a retake. I am quite happy with my Verbal . However, I am not sure about my Quantitative. 163 is a high score, but then again, I am applying to Applied Math programs which require high quant scores as minimums. I am also an international applicant; so I am assuming my requirements are even higher. Any advice?
  17. Hi everyone. I should preface my situation and aspirations with the fact that I realize the following is most likely a pipe dream. That being said, I have been feeling this way for some time and willing to do whatever it takes to change my current situation. Anyway, here it goes... I am in my late 20s and I'm currently a humanities teacher living in Massachusetts. I moved here for my wife's job (which is unique). I love living in this area, however, my career has come to a breaking point. I am no longer happy teaching to middle/high schoolers. I've been teaching for 5+ years and, by standard metrics, I would consider myself a successful teacher. As many of you know, being successful at something does not necessarily have a direct correlation to satisfaction or happiness. I have taken a few Math courses (calc) in undergrad but received low grades in these classes due to lack of effort. I graduated undergrad with a BA in English and grad school with an MA in Education. I am interested in a career within the math field now, but I am completely lost how I could pursue it at this point. Is it at all possible to pursue an advanced degree in Mathematics at this point. Where would I even start? How could I obtain the necessary prerequisites to have a chance? Would you recommend taking classes at a local CC to fulfill some of these requirements? I know research experience is also a key component. Is there any way to have an experience in research? As always, time and money are restraints in this equation. Any suggestions? Thank you in advance!
  18. Hi everyone! I am new here so serious help will be greatly appreciated. I am graduating next year with my Bachelor's degree in Applied Mathematics and I was wondering what is the next best step for me to do. I am determined to get into grad school but I've heard that, for applied math, you have the option to either take a master's or go directly to getting a PhD. My ultimate goal is to get a PhD but getting a master's was what I was expecting to get first. Either way, I just wanted to know what most of you suggest I take: master's or directly get into PhD program? Also, what is the best school that offers a great graduate programs on Applied Math? As of right now, I don't have a specific concentration so a general best school will be fine. Thank you in advance, everyone!!! Have a great day!
  19. Does anyone know anything about the MS program at Miami University in Ohio? It's a terminal, funded Masters, and it seems like a good option for people with unconventional backgrounds who would eventually like to pursue a PhD. I'm trying to gauge what sort of PhD programs Miami graduates get accepted to. The department website doesn't provide this info.
  20. GRE Quant Perfect Score?

    Hi everyone, As a math major looking to get into a quantitative-heavy graduate program (engineering/computational finance/statistics/computer science), I am determined to get a [near] perfect quantitative reasoning score on the GRE. I would be happy with a 165-167 and absolutely thrilled with a 168-170. My question is: how exactly does one achieve these scores? I am still early in my GRE experience, but it seems to me no matter how much GRE math you know, there is usually at least one or two of the 40 (or 50) questions I have to guess on or stumps me with time. Additionally, there are still questions I get wrong from silly mistakes. If you or anyone you know has gotten 90+ percentile quant scores, please elaborate on any of the study methods, preparation, or books used. Thank you! Philip
  21. Hi guys, I'm in a bit of a weird situation. I graduated with a degree in Computer Science (Outside U.S) 1 year ago and since then I've been working as a software engineer. I decided I am going to apply to an Applied Mathematics grad program. The reason being that I've always wanted to pursue my interest in the field of mathematics but due to external factors I could not. Anyway, my background in terms of courses taken is quite insufficient. In the country I studied engineering in, we only have 2 math courses (Engineering Mathematics - 1 and Engineering Mathematics -2). While these do cover Calculus 1,2,3 and some extra topics, it does not go into linear algebra at all and only touches the surface of real analysis. (Although I used to watch linear algebra and various other lectures online out of my own interest during the 4 years of engineering) Since this was the case, immediately after graduating, I decided to self study these topics using online courses and some textbooks and take the GRE Mathematics subject test. Surprisingly I got a very high percentile and this has boosted my confidence for grad school. The question is, will 2 good LORs and a good GRE subject test score be enough to get admitted into a good program/school? How do I explain my lack of courses taken? Is there anything I can do to satisfy these missing credits? If anyone has been in a similar situation or has any advice, please let me know. Thanks in advance.
  22. Hello, I have noticed that a few interview results have been posted over in the admissions results and that someone also denied an interview. Has anyone over here received any results? This is my number one school and I have not received any correspondence yet. Thanks!
  23. Hi all, long time lurker and first time poster. I am currently a sophomore at one of the best schools for pure math in the country and am relatively advanced in pure math, with a 3.95 GPA overall and graduate coursework in mathematical statistics. However my research experience so far is totally nil and I am not so far ahead at CS, though I am playing catch up big time, as I'm taking algorithms + data structures + ML this spring semester. So you can see how my lack of research is a problem when it comes to my goal: admission to a selective ML PhD program. I am wondering if pure math research experience would be good experience to get for my PhD program app. This summer I have three options. First, I could do a finance internship where I walk away with some nice cash but do no research at all. On the other hand, I could probably do pure math research with a professor at my school. But I simply don't know enough CS to start research in CS this summer, so the third option is just to spend most of summer on MOOC-type stuff getting super far ahead in CS and trying to really crush the research game junior and senior year. What do you recommend?
  24. Hi everyone, Thanks for taking the time to read my post. I'm wondering how I stack up against other applicants to an engineering grad school program. Current programs I'm looking at include petroleum engineering masters at Penn State or University of Texas at Austin (or other relevant schools in Texas). Other engineering programs I am looking to consider, such as nuclear engineering, but I am unsure of what schools to apply to yet. I am a senior graduating from a top public state university in New York with a 3.3 GPA. I am studying BS Mathematical Sciences with a minor in Education. I plan on taking the GRE sometime within this Spring 2017 semester. I am hoping to receive a 165 (hopefully higher) out of 170 on the quantitative section. My verbal wont be nearly as good but I will strive to get a 155 or higher. My writing is good so I'm hoping to receive a 5+. My resume includes 4 years of retail experience, an internship at an insurance company, and plenty extracurricular clubs at my university. Please give me any feedback, suggestions on schools/programs to consider, or any other relevant information regarding what schools I can get into (or how I stack up to the applicant pool for other prospective graduate engineering students). Thank you, Transcending
  25. How about being poor in math?

    I'm an international applicant planning to apply to MA/PhD programs in Philosophy. I wish to specialize in phil of mind, especially consciousness, and have heard that few people including this forum say good math grade is a good sign. Then how about bad math grade? I have poor math grades(about 3.5/4.0) whereas a little bit nicer Philosophy grades (about 3.8-9/4.0). It's not just a problem of my first two years at university. I have got so many Bs throughout all the undergraduate years. So I'm worried that my poor math grades signal my lack of abliity to learn about abstract things which, I think, is crucial to graduate student.