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Found 19 results

  1. Hello everyone. I've got a bit of a unique situation. I was disowned by my family in the middle of my education, so I have a gap year to explain. I teach math currently to pay my bills, and I really enjoy teaching, but I don't see myself as a middle school teacher forever. I miss the research and the conferences... Undergraduate Institution: Top 300 Nationally ------> Top 25 Best Regional South Majors: Mathematics GPA: 3.29 Major GPA: 3.44 Type of Student: Domestic White Female Courses taken: Math: Analytic Geometry and Calculus I, II, and III (B/A/A), History of Mathematics (A), Linear Algebra (A), Modern and Abstract Algebra (B), Research in Mathematics (A), Real Analysis (B), Mathematical Modeling (A-), Differential Equations (B), Survey of Geometry (C+), Senior Seminar (B) Stats: AP Stats, Probability and Statistics I (A), Probability and Statistics II (C), Advanced Statistical Methods (B) CS: Programming Language I (Java) (B), Web Applications I (B+), Database Design (B), Programming Languages (different college, a smattering of C, C++, Elm, the weird parenthesis language, and a few others) (B-), Data Structures (with Python) (A) Bio and science: Basic Biology (AP Credit), General Chemistry I and II (AP Credit), Organic Chemistry I (C), Bioinformatics (B), Physics I (B) GRE General Test: Took a practice one cold and got 159 V/161 Q. I'm aiming a little higher, but would be content with that score. GRE Subject Math: Have not taken. Research, work and publication: Current work: Teaching math at a public middle school. 2018: Attended MAA-Southeastern Section meeting at Clemson and graduated. 2017: Poster prize winner at MAA-Southeastern Section meeting for a computerized SIRS model for the Black Death; used NetLogo with Python under the hood. Some randomness was incorporated in the lifetime of the human bits in the model. Compiled an exposition of the Navier-Stokes equations for my senior seminar that I took a semester early. 2016: Transferred out of necessity and took a tutoring job with the college. Acted as a TA for a statistics section. Maintained until my graduation in 2018. 2015: Best Presentation Overall at a symposium hosted by my first college in the expansion of my earlier project. There were at least 250 presentations there. Learned to access government databases for biological information like genomes and viruses in Bioinformatics and gave a presentation in class about Fourier transforms. 2014: Symposium hosted by my college for students only about the history of probability and statistics. Was the Calculus III TA and led lecture once a week. Letters of Recommendation: Chairs of the math department from both schools, and either my supervisor for tutoring or my research advisor from my earlier symposia work. Schools: I would ideally stay in North Carolina, so NCSU is a big dream for me for their connections to the sciences. There are several programs that I'd gladly apply to, but my GPA is low for PhD. I will be an NC resident for Fall 2020 admission. I'd really like to stay in the southeast but if a better program is calling my name, I'd be stupid not to look at it.
  2. Undergrad Institution: My own state university in Computer Science Engineering GPA: 3.3 out of 4.0 scale Type of Student: International Male GRE General Test: Q: 162 V: 142AWA: 3.0 Programs Applying: MS - Applied mathematics and statistics Research Experience: 1. Undergrad final year project on unsupervised machine learning 2. Projects on XRD data prediction using supervised model 3. Projects on time series data prediction with neural network model Publications: No research paper published yet. I am interested in continuing research on statistical machine learning, hence opting for applied math as graduate major. Help me with suggesting universities I could apply for.
  3. Undergrad Institution: Berkeley Major(s): Math + Computer Science GPA: 3.89 Type of Student: International Asian Male GRE Revised General Test: 170 + 153 + 4.0 Program Applying: Computational Math Phd Relevant Undergrad Courses & Grades: Intro to Analysis (A+), Numerical Analysis (A+), Linear Algebra (A+), Complex Analysis (A-), Abstract Algebra (A), Combinatorics (A+), some lower division courses, and some computer science courses, A+ or A. Graduate Courses & Grades: Numerical solution to DE A&B (A+, A), Real and functional analysis (A, A-), Numerical Linear algebra (A) Research Experience: Undergraduate research for 2 years, using statistics and math modelling, a paper submitted. Just started my "serious" research about preconditioners in compact DG method with implicit Runge-Kutta, exploring AMG now. But it is research, so no specific direction, just mess around, trying new things and see how they work. No result, but enjoy it very much. (It is really fun! Don't know what to expect every week.) Awards/Honors/Recognitions: None. Probably some GPA related things, but not important. Pertinent Activities or Jobs: Tutor in CC. Grader, lab assistant. Any Miscellaneous Points that Might Help: 5 graduate classes related to the thing I am interested in: numerical PDE AB, numerical linear algebra, Real & functional analysis. DRP for two semesters, on spectral method, spectral element method, multigrid. Self-studied DG and Evans' PDE, only some notes and codes, no fancy papers. Recommendation letters should be okay. Any Other Info That Shows Up On Your App and Might Matter: Enjoy numerical PDE (specifically DG) very much! I started my undergraduate as a computer science major, and I switched to math pretty late. Maybe my programming background could be useful? Interested in computer graphics at first (physical simulation specifically), but could not understand PDE, so crazy studying math afterwards. Applying to Where: Dream School (I guess not necessarily the hardest): Rice - CAAM Reach: Brown - Applied math Cornell - CAM UT Austin - ICES Match/Safe: U Washington - Applied math Northwestern - engineering sciences and applied mathematics Rensselaer - Mathematics Any advice will be very helpful for me~ Thank you very much!!! ?
  4. Undergrad institution: Top university in Turkey Major: Economics GPA: 3.80(2nd place in my cohort) Relevant Courses: Functional Analysis(B+), Real Analysis (A), Measure Theory(A), Topology(A-), Advanced Calculus(B+), Engineering Math I&II(Linear Algebra, Diff. Equations, Complex Analysis)(A-,A-), Probability and Stat(B+), Number Theory(B), Calculus I&II (A,A), Math for Econ(grad and undergrad level)(A,A), Game Theory(A), Advanced Economic Theory(A), Microeconomics Theory(grad level)(A), Econometrics(Regression Analysis)(A), Algorithms and Programming (B+), Intro to Computing(MatLab)(A), General Physics I&II (A, A-) GRE Quantative: 168 GRE Math Subject: 980 Programs Applying: Master in Mathematics or Applied Mathematics in Europe Recommendation Letters: Professors of Real Analysis, Measure Theory and Functional Analysis Coding Experience: Java, Matlab, Python Research Interest: Game Theory, Networks and Graph Theory, Discrete Optimization Applying to: EPFL ETH Zurich Bonn TU Munich Ecole Polytecnique University of Amsterdam Concerns: very very few algebra course not math major taking reference from not grade A course I am currently graduated and enroll in a master in economics program. I am specialized in game theory. I think that having a master degree in math will be better for my Ph.D. studies. I want to be in Europe during my grad life. I would really appreciate any comments/advice on my list of schools and on any other programs I should consider. Am I aiming too high with no safeties? Am I competitive enough for those schools in my list? Is being Econ major really bad sign or a negative point for those programs? Has being enrolled in a master program negative impact on my application profile? Thank you in advance.
  5. I am interested in a PhD computational science (developing methods to solve PDEs, specifically) and I want to know how the MIT CDO program compares to the ICES at UT Austin and ICME, Stanford. I have often seen that the MIT CDO/CSE program is not mentioned in discussions about computational science. Is it too small a program? Or not good enough, as, say the CSEM program offered by ICES, UT Austin? (I have a CDO admit from MIT and a PhD admit from ICES, UT Austin. I believe the result for ICME wil come out sometime in mid-March)
  6. 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?
  7. Hi everyone, I will be applying to PhD programs in Statistics/Applied Math this fall, and am having a hard time in finalizing my choices. Any help would be greatly appreciated. Undergrad Institution: International (Unknown) Major: Physics Minor: Math, Economics Cumulative GPA: 9.1 / 10 Grad Institution: Top 30 Statistics Program (US NEWS) Major: Statistics Cumulative GPA: 3.76 Type of Student: International male Math Courses: Undergraduate: Calculus I (A), Calculus II (Multivariate Calculus) (A), Linear Algebra (A), ODE (A), Prob. and Statistics (A), PDE (A-), Dynamical Systems (A) Graduate: Complex Analysis (A), Linear Algebra (A), Real Analysis (A) GRE: Q 168, V 158, W 4.0 GRE Mathematics Subject Test: 890 Research Experience: Undergraduate Theses on Econophysics (one paper forthcoming; preprint is ready), one conference publication in AIP, masters thesis on modelling stochastic volatility, Summer abroad in Russia (SPbU) (one preprint in the field of portfolio optimization). Awards: Nothing special. Fully funded masters and undergrad education. Recommendations: 2 from professors who taught my courses in math & stats (one is rather well-known, the other is a junior faculty member), 1 from a professor with whom I worked over a summer. Programs I'm Interested In: I made a tentative list but need help finalizing it. I am interested in statistical/math finance so I am looking for departments which have professors working in these fields. STATS PhD: UChicago Penn State Columbia Yale Harvard STATS / APPLIED MATH DEPT Cornell - CAM / STATS (haven't decided which dept. to apply to) U Michigan - AIM / STATS (haven't decided which dept. to apply to) Applied Math Johns Hopkins UIUC Washington NYU Brown CMU UPenn UW Madison Would anyone like to comment on my odds of being accepted to one of these programs? I am concerned about my grad GPA and feel it would be a factor in bringing down my application. Any help would be appreciated. Thank you!
  8. 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?
  9. I am looking to start a PhD program in applied mathematics during the Fall of 2018. I have some realistic concerns that I would like to vent on this forum. I created this post because I am unfamiliar with academia and don't want to create a plan that would lead to failure (my personality is INTJ). Background: I am a normal student who is quiet and studious. After I obtained my undergraduate degree, I worked for five years as a software consultant. During those five years, I have a gained a lot of experience in mathematics by reading books and studying math in my spare time. My undergraduate degree is in an unrelated subject, I have a MS degree in applied mathematics. I have taken a fair amount of courses relevant to my goal. These include calculus 1-3, introductory physics 1-3, linear algebra, advanced linear algebra, ordinary differential equations, partial differential equations (two courses), mathematical modeling, complex analysis, thermodynamics, object orientated programming, data structures, econometrics, dynamical systems, numerical analysis, engineering mathematics, number theory, Riemann zeta function, and more. I don't think I will be rejected due to a lack of course experience. I have some research experience but have not published any of my work. For my MS degree, I wrote a MS project about the computational methods of the Riemann zeta function. I know how to program and included both mathematics and computer code in my MS project. I cannot objectively measure the strength of my MS project (if length matters, it was near 100 pages long). I did not publish any of my work. In 2013, I also spent a couple of weeks doing independent research in astronomy. Astronomy is a side interest of mine and is something that I read about. Similar to my MS project, I didn't publish any of my work. Concerns: What are realistic expectations for someone in my situation? Will graduate programs look negatively on my application because I didn't publish the work done in my MS project or astronomy research? Will they also see my five years of experience in industry as something negative in my PhD application? Since I plan to start graduate school in the Fall of 2018, I have plenty of time to plan and study more material (although, that probably isn't going to help me if I don't publish anything). I am not super concerned about my GPA (it is between a 3.4-3.5 for undergraduate study and 3.7-3.8 for graduate study). I have been looking at the rankings of PhD programs and have spent some time looking at advice for future graduate students. Since I have roughly 1.5 years before I would start graduate school, I have been proactively learning new material. I have signed up for proof based mathematics courses (including abstract algebra and real analysis) so that I can strengthen my application. I'm not sure if taking these courses is necessary, although I hate to waste time at night doing unproductive activities or just reading math books on my own without any sort of credential. I am in my late twenties and am very aware of my chances for an academic job (statistically near zero). I would like to work in industry after I graduate. I am not opposed to the possibility of becoming a professor, although it seems impossible given the supply of younger students and my background. Questions: 1. Do I have a good chance of getting into graduate school in applied mathematics? How could I figure this out? 2. My primary reason for going to graduate school is because I want to learn more. Some of this could be accomplished on my own (by reading math books or taking online courses at MIT OpenCourseWare). I would like to dive much deeper than my MS project. 3. Do you think that my plan is insane given that I probably wouldn't end up as a professor? The alternative is to stay in industry and work in software for the next 30+ years. I would like to try something different and would presumably be good at academic research.
  10. I am a senior student now. I did my first two years in China and then transferred to the University of Toronto. Thus, I have no idea how strong my profile is. Any comments/suggestions/help would be appreciated. My profile is as follows. Thanks in advance! Undergrad Institution 2: University of Toronto (2015-2017) Major: Applied Math in Statistics GPA: 3.98/4.0(overall) Undergrad Institution 1: Top 15th Chinese University(2013-2015) Major: Statistics GPA: 86.23/100(Rank 1/29 ) Type of Student: International Assian Male Courses/ Background: Courses took in China: Analysis 1 A, Analysis 2 A, Analysis 3 A-, Algebra 1 A, Algebra 2 A+, Ordinary Differential Equation A+, Complex Analysis A+, Numerical Methods A+, Combinatorics A+, Mathmatical Modeling A+ Course took in the University of Toronto: Partial Differential Equation A+, Abstract Algebra A+, Probability and Statistics 1 A+, Probability and Statistics 2 A-, Method of Data Analysis A, Probability A+, Time-Series Analysis A+, Math and Statistics 1 A+ (Except partial differential equation, I got more than 95 in all other A+ courses.) I'm proficient in R and competent in Java and Python. GRE: 170Q(97%), 150V(47%), 3.0(17%) Math GRE Subject: 80% (I do not plan to submit it since it is very low.) Research Experience: Have been doing Conceft Algorithm(Which optimize Multitapering) with an assistant professor. Expected to publish a paper next year. Awards/Honors/Recognitions: Dean's List, TAship for first year calculus course. Pertinent Activities or Jobs: research assistant, Tutor, leader of multiple student orgs in China Letters of Recommendation: -One Statistics Associate Professor, I took his Math and statistics course and get the highest score in my class(Almost all students in that class are grad student.) He will write about my Real Analysis knowledge since I did not offcially take real analysis course. -One Statistics Professor in my statistical computation class. -One Math Assistant Professor I did research with. Already Applied: Harvard Applied Math (Master) Harvard Statistics (Master) UC Berkeley Statistics (Master) Thinking of applying to: University of Chicago Statistics (Master) Duke University Statistics(Master) Stanford ICME or Statistics (Master) Waterloo Statistics (Master) North Western University Statistics (Phd) Yale University Statistics (Phd) New York University Statistics (Phd) New York University Data Science (Phd) Cornell University Statistics (Phd) I have several questions. 1. In the last semester in China, I took Real Variable courses. It is very different from real analysis and I hated it. Thus, I planned to not care that course and take a real analysis course in the University of Toronto. However, they give a very low score in my transcript. Is that necessary to order another transcript without that course? I took real analysis in the University of Toronto. I did well in the midterm, but I dropped it because it has conflicts with another course. Should I mention this fact? 2. I did very bad on my GRE writing and verbal section. Do I have to redo it? I think I can do better if I have enought time. 3.I did very bad on my mGRE. Should I submit my score? I am afraid it will lower my chance to get into those universities. 4. What is my chance to get into those schools I listed? I wonder should I apply more safe schools? I planned to read one more year if I get all rejected. Thanks in Advance.
  11. Undergrad Institution: top 20 private university Major: Computational Math & Mechanical Engineering GPA: 3.94/4 (same for both majors and cGPA somehow) Type of Student: domestic male GRE: 165 Q/163 V/5.0 W (46th percentile on the math subject GRE, did not submit) Research Experience: Have 3 years of research experience in computational fluid dynamics with a focus on computational math; 1 paper in an undergrad journal, then 1 proper journal paper with my professor on which I'm first author. 6-month research fellowship in Europe on CFD after graduating (advised by a well-known professor in my subfield of CFD) A summer internship at a national lab Other Relevant Experience: Lots of programming experience with MATLAB, C, and C++ I was a grader for some undergrad PDE and linear algebra courses, and also a grad level numerical PDEs course Letters of Rec: My undergrad research advisor who I published a paper with and worked with for 2 years My undergrad major advisor; I never took any courses with him, but I was a grader in two of his courses; he knows me well and writes great letters (no research with him though) Research advisor from a fellowship in Europe; no publications with him, but I did grad level research and he is well-known in the subfield I want to do research in Weak Points: Did not submit the mGRE score to any schools since it was optional; I know this will probably hurt me in the long run, but I was advised both by my research advisor and undergrad advisor not to submit my score. I've never taken abstract algebra or topology or complex analysis and didn't do most of those questions on the exam. I did self study a little, but alas. Every school I'm applying to is a dedicated applied math program though, the vast majority of which don't even have real analysis on their graduate curriculum, so at the very least, not having abstract algebra or complex analysis on my undergrad transcript probably won't hurt me too badly I've been out of school since 2014 now. I did a summer internship at a national lab in the summer of 2014, then spent some time traveling. 2015 I had a 6-month research fellowship in Europe. But for all of 2016 to present, I'm working full-time in a completely unrelated field (not even STEM actually...) Schools: Stanford ICME (submitted, expecting rejection) Brown - Applied Math (expecting rejection) University of Washington - Applied Math (a reach, but a good match I think) UT Austin CMES Stony Brook University - Applied Math University of Maryland - Applied Math Rice University (CAAM) University of Waterloo - Applied Math One question I had: in my statement of purpose, I've been writing about faculty at that school I would be interested in working with. For one of my schools, I've written about an adjunct professor (whose main appointment is through a different university at the same school). I reached out to make sure he advises applied math students and he said yes, and indicated potential interest in working with me if I got in. My worry is: should I stick to mentioning departmental faculty in my SOP, or are adjuncts okay too?
  12. I only took the exam once and did poorly. I scored in the 46th percentile (640). My undergrad education was in computational math, and honestly, the exam was quite difficult for me. The questions I knew, I could answer easily. But a lot of the material was unknown to me. I did some self study on those subjects, but focused my time mostly on material I knew I could master. None of my applications (applied math PhD programs) require the subject test score, per se. Stanford's ICME program, which is probably the highest reach school I am applying to, says the subject test is "highly recommended, but not required." Lots of my programs go this "optional, but recommended" route. I'm just curious what to do in this case, especially for a top program like Stanford. Without getting into too many details, my GPA and general GRE are good. I have a lot of research experience, first author on a publication in my desired subfield. Good to great rec letters. I feel like the low mGRE score drags down my application. The two choices I can make are: 1) Submit the score. Risk getting weeded out immediately without the rest of my application looked at. 2) Don't submit the score. Let the rest of my application speak for me. But in this case, does the school see a red flag in the lack of a score, and then it counts against me anyway? What would you recommend I do? My undergrad study was in computational math, and I covered the basics of Calc 1-3, ODEs, PDEs, linear algebra, real analysis, but subjects like abstract algebra, discrete math, etc. weren't part of my study, and this is reflected in my transcript. I did cover numerical analysis, optimization, and numerical methods for PDEs (theory and implementations) in detail, which is more tailored to the dedicated applied math programs I am applying to. My undergrad institution was a dedicated computational math dept that did not require mGRE scores for PhD applicants, so I'm not sure they can advise me at all in this matter.
  13. Hi all, After a dreadful application season, I want to start my searching early and have been reading up on University of Colorado at Denver and Boulder, along with U of New Mexico. I'm interested in the Applied Math graduate program and more specifically into Biomath. Does anyone have any suggestions or comments about these three schools?
  14. Hi, I am math major and I am thinking about going to grad school doing research in applied math, probably about differential equations or dynamical system. May I know what is a typical day like doing something like that? Is it mainly lots of Matlab coding or you spend most of the time doing problem solving? Shunji Li
  15. Hey guys, Background: School: Liberal Arts College (freshman year), transferred to Columbia Major: History GPA: 3.93 Relevant Coursework: Calc 2 (A), Mulitvariable (A), Linear Algebra (B+), Differential Equations (A), Intro Micro (A), Intermediate Micro (A), Game Theory (pass/fail) I currently work at a bulge-bracket bank (think JP Morgan, Morgan Stanley, Credit Suisse, etc.) in convertible bonds origination within investment banking. It's definitely the most quantitative banking group my firm offers. Questions: So I'm planning on quitting my current job after my 1st year and am trying to plan out what to do next. My biggest frustration(s) now are that my group isn't that quantitative so I feel like my skills there aren't really being put to use. More importantly, I just don't care about the work that much. Lowering a company's cost of capital with a convertible bond can be a somewhat interesting problem but, at the end of the day, it's not that gratifying...just seems like there are so many more important problems out there. So here are my questions: 1) Given that I want to do more quantitative work that I think is valuable, what would be worth checking out? I've looked into biomath and some cryptography. Seems like the work you do in biomath supports a more important cause than crypto, but I think I'd like the day-to-day work more involved in crypto. To be fair, I'm just researching/reading about these fields now and don't know very much. 2) I'm planning on going to grad school starting in Fall 2013 but realize I need a stronger math background to make my application more competitive. What classes would make the most sense given that my interests are broadly in applied math? I was thinking I would do two or three non-degree classes in Fall 2012 to boost my profile; was thinking I'd do Probability Theory and then one or two others. What might make sense? Analysis, algebra, an optimization class? 3) What types of programs should I look into? Given that my background after the non-degree classes will be pretty broad I thought an applied math program made the most sense and I could make a more informed choice about what to specialize in later. Thoughts? Thanks for all your help on this guys, much appreciated, Mariogs
  16. I am looking into University of Washington applied math program http://www.amathonline.uw.edu/online/. Is anyone familiar with this program? I know that UW has a good applied math program but I'm still nervous about getting an online degree. Do you know where I could connect with someone who is in the program, or graduated from it? Is there any stigma against online graduates when hiring?
  17. Hi, I decided to start this thread, since I haven't seen much dedicated to this interdisciplinary programs, for people like me applying to PhD's this year, and to comment, advice, share profiles... I guess I'll start by writing about me. I have an undergraduate degree in physical Oceanography from Mexico, a small school but the program in Oceanography is well known. I won a Fulbright scholarship to study a MS program in the US in applied mathematics, and thus I'm in my second year in the masters in applied mathematics in a top school (program was ranked #1 in the country last year) here in the US, currently doing a project about climate dynamics (ocean-air interaction) that possible could be published and now I'm looking forward for PhD applications, well not exactly, application process sucks and I am not too excited about it, but what has to be done has to be done. Here are the schools to which I am considering in applying to: NYU . - Center of Atmosphere Ocean Science (within Math department, i.e. Courant Institute). UCSD .- Scripps Institute of Oceanography UW - School of Oceanography Miami University - Rosenstiel School of Marine Science I've been thinking about WHOI (Woods Hole/MIT joint program), but not sure. They're are the only ones not waiving the toefl, which is annoying (i got 99 two years ago in the CBT)... I have already contacted profesors from this institutions which whom I could worked with. Positive responses... I am considering taking the GRE math, though not looking forward too, but its a requirement in NYU's program. Other than that, I feel good about my profile, but not too confident since I still don't have any publication, yet... I think I can get two good LOR from my current school, one well known professor in ocean, and a math prof known at least in NYU. From my country I could get really good ones as well, but maybe only one from a known person in the US. In this I am not sure what to do, to get really good LOR's from professors that know me really well but are not know in the US, or get from prof's that don't know me as well as the mexican ones, but better known. Decent GPA's Several awards while undergrad Graduated with honors. What do you think my chances are? Hope more people post comment in this threat, so that any doubts could be addressed, as well as any recommendation. Sorry for any misspelling! Cheers and good luck to all!
  18. Hey guys, I'm thinking about applying for PhD programs in applied math, with the goal of eventually working for a development bank or agency. My background is in economics (details below) - are there any programs worth looking at that incorporate econometrics? Right now, my top choice is UT-Austin's ICES program, since it's in-state and they have a track for students without an engineering or pure math background. Background: GRE: 1430 (800 M/630 V), taken in 2009 Undergrad: University of Houston, B.S. Economics and Political Science, 3.3 GPA Math classes taken: Calc I, II, III Grad school: Texas A&M, Master of International Affairs, 3.6 GPA Concentrations in International Economics, Economic Development, Multinational Enterprises Math classes taken: Statistics, Econometrics, Impact Evaluation, Trade Policy (Stata-heavy) Two years work experience, but in a completely unrelated field. Thanks!
  19. I am applying for statistics/applied math programs in grad school. Below are my profiles, can you help me to take a look and comment on my chances of getting in? I welcome suggestions for other schools as well. My plan is to either get into a phd or to getting into a prestigious master's program. My biggest disadvantage is that I graduate with a 4-year degree in 3 years, so I did not take as many courses as others, the courses below are the courses completed by the end of my sophomore year. What are my chances to getting into the most prestigious programs in applied math/statistics (top 5)? I have not taken real analysis II(measure theory), is that gonna be a big program. I would really appreciate your help, thanks! Undergrad Institution: Carleton College (top 10 liberal arts college) Major(s):Mathematics Minor(s):None GPA in Major: 3.91 Overall GPA:3.82 Length of Degree: I completed a 4 year degree in 3 years. Position in Class: Near top Type of Student: International student GRE Scores: Q:800 V:740 W: Not out yet Courses: Math: Probability, Algorithm, Advanced Algorithm, Real Analysis, Abstract Algebra, Advanced Abtract Algebra, Advanced Linear Algebra, Topology, Surfaces Computer Science: Data Structure Economics: Price Theory, Econometrics Research Experience: I have done Markov Chain Monte Carlo simulations on gravitational waves for my physics professor for two year, hopefully we can get something published before application. Awards/Honors/Recognitions: Dean's list for Freshmen year. Starr Scholarship holder Pertinent Activities or Jobs: Calculus Tutor for one year, Grader for courses like (topology, discrete mathematics, caculus), Mathematica lab assistant. Any Miscellaneous Accomplishments that Might Help: I was ranked 700 in Putnam when I was a freshmen.
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