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GRE:TBD usnews top80 university in USA (usnews top30 grad program), public International application interested field: Applied Micro, Development economics. I am interested in everything from micro and empirical, and have I ever been exposed to theoretical research, so it is difficult to make a final conclusion. Master in applied statistic (IUG) GPA:3.83/4 Bs in econ and Bs in math GPA:3.72/4 math in major 3.67 econ in major 3.73 research: REU RA for a development econ assistant professor in my university -- basic data analysis and programming tasks -- going on -- 1 year RA for a statistic full Professor (College Graduate Education Associate Dean) at my university -- replication and expansion code, independent analysis data task -- going on -- 3 month Letter: two strong from the RA professor for sure, one pending Extracurricular and other activities: Working as a tutor coordinator in the economics club The academic training program of Economics depart will hold monthly seminars with different professors Statistics Consulting Training Camp Language: R, Latex, STATA, SAS, MATLAB, Python, ArcGIS, Git.... award: Dean's list, almost every semester My weakness: 1. During my sophomore year, I chose courses that were very hard for me, resulting in 7 late drops and 6 of them in my sophomore year. (I enrolled in the courses credits celling every semester!) 2. I have been trying the econometrics of the Honor version and web courses consecutively, so I did LD twice and only got a B in the end. Therefore, I have also taken many statistics courses to prove my abilities. 3. I got C+ in Intro Mathematical Analysis 1. B in intermediate economics. B in Intermediate Macroeconomic Analysis (Honors). 4. I don't have too much research experience. 5. International students face fierce competition. 6. No master thesis but have a writing sample supervised by my latter writer. UG-related core courses: Python intro, B Introductory Microeconomic Analysis, A Introductory Macroeconomic Analysis, A Statistical Foundations for Econometrics, A- Intermediate Microeconomic Analysis (Honors), A Intermediate Macroeconomic Analysis (Honors), B Introduction to Econometrics, B Environmental Economics, A Multinationals and the Globalization of Production, A- Special Topics: Applied Computational and Research Econ with R, A Advanced Microeconomics, master-level, A Microeconomics theory, Ph.D. level, TBD Calculus and Multivariable Calculus 1, 2, 3 A, B+, B Matrix, A- ODE, A Elementary Combinatorics, A Concepts of Discrete Mathematics, A- Real Analysis, A Introduction to Analysis I, C+ Probability Theory, A Mathematical Statistics, A Numerical Computations, B+ Mathematics of Finance, B Linear Programs, A Linear Regression, A Linear algebra, B+ Master courses: Analysis of Variance and Design of Experiments, A Statistical Consulting, A- SAS, A Design of Experiments, A Sampling Theory and Methods, B+ Applied Data Mining and Statistical Learning, A Design and Analysis of Clinical Trials, B+ .......... -
Hi everyone, I would like to get some advice regarding UBC (University of British Columbia) Masters program for a stepping stone for Economics PhD. How much would it help to get me into a good PhD program? I did apply to PhD programs this cycle but seem not to get any offers and applied to UBC Masters program as a recommendation from one of my professors for a backup plan. To help giving me advices and suggestions, here is my background: Profile: Type of Undergrad: Top 50 Public (Math Honors, Econ Honors, & Engineering) Undergrad GPA: 3.56 Type of Grad: Top 20 Private (Applied Mathematics & Statistics) Grad GPA: 3.91 GRE: 153 V, 170 Q, 3.5 W Math Courses: Calculus I/II/III (A,B+,A), Real Analysis I/II (B+,A-), Linear Algebra I/II (B+,A), Differential Equation (A-), Group Theory (B), Stochastic Analysis (A-,A), Bayesian Statistics (A-), Mathematical Finance (A), Stochastic Methods in Finance (A-), Analysis of Algorithm (A+), Probability & Statistics I/II (A,A), Statistical Methods in Data Analysis I/II (A,A), Graduate Level Statistical Modeling (A-), Graduate Level Probability (A), Graduate Level Linear Algebra (A), Graduate Level Statistical Inference (A), Graduate Level Data Mining (A), Graduate Level Machine Learning (A), Graduate Level Deep Learning (A) Econ Courses: Basic/Intermediate Micro (A+,A), Basic/Intermediate Macro (A+,A), Econometrics I/II (A+,A+), Corporate Finance (A), Investment (A), Risk & Uncertainty (A+), Statistical Methods in Economics (A+), Managerial Economics (A+), International Trade (A+), Asymmetric Information (A), Honor Thesis in Economics (A) Research Experience: 2 year of Mathematics & Statistics Research as undergraduate, 1 year of Econometrics Research & Honor Thesis as undergraduate, 1 year of Statistics and Machine Learning Research as graduate student. Will the Masters Program at UBC improve my chance getting into Economics PhD? I saw the program and seems to be mathematically rigorous + has a research requirement to graduate. I am aiming for any school in top 50 worldwide. Thank you very much before hand, I really appreciate any helps!
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Hi all, I want some opinions on getting MS in Statistics before applying to Econ PhDs. My plan is to pursue MS in Statistics, specifically either a "MS in Applied Statistics/Data Science in Finance" or just "MS in Applied Statistics." I do have an option to pursue "MS in Mathematical Statistics," but I was told that almost no one studies this here at my school (yeah people want to get jobs after this program). I am not considering the MS in Economics here at my school because we only have online version of it. Also, our Stat department is stronger than Econ (T20s vs T50s). So, given that I have an undergrad profile that makes me a quite strong candidate in T30~40s (like top GPA in Econ, Math&Stat minor, top GRE, etc.), by how much do you think my chances will improve in getting into higher Econ PhD programs by getting an MS from one of those programs? Of course, given that I do well (like >3.8/4.0) and do some research with Econ professors on the side. Also, which of the two~three options should I choose? Just to further elaborate on my choice of MS program, I do not want to spend a fortune in other MS programs in Europe or Private Top universities, and I have a strong shot of getting a funding here.
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Undergrad (UVA), no grad work. GPA: 3.77, 3.9+ in stat/math/econ (I did the McIntire school and hated it, that pulled me down a bit) Stat major, econ minor (also an irrelevant commerce major) Courses: Linear (Intermediate and Advanced): A, Calc III and ODEs (in High School Dual Enrollment), Stochastics: A, Real Analysis II: B+ (took the second one and not the first because I did not have time for both), SProbability (was only undergrad in graduate course): A, Stat Inference (was only undergrad in graduate course): A, Time Series: A, Metrics (I and II): A, Game Theory: A, Intermediate Micro: A, Intermediate Macro: A-, some other random stat and math courses that I got As in. Research: None as an undergrad (stats program did not have the honors thesis option and I did not RA). Been working since August 2018 at a top 3 econ consulting firm, have been able to do a couple projects that were non-litigation and were more research like. GRE: 170Q/165V; Did not get to take GRE Math Subject due to COVID cancellation Recs: mix of professors, and supervisors at work who had worked in academia before consulting. Applied to Melbourne and was told in interview that my recs were very strong. Coding: Stata, SAS, R, SQL. Very extensive professional coding experience. Applying to both stat econ programs as I could see myself either in stat theory, or in metrics theory in an econ program. Most likely a PhD but the ETH Zurich masters in stat to strengthen research experience is also appealing.
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Type of Undergrad: Unknown East Asia university with honors in Econ and Math Undergrad GPA: 4.09(overall) 4.5(Econ) 4.3(Math) Type of Graduate: Top2 university in my country Graduate GPA: 4.1(overall) TOEFL: 24 22 20 21 :( GRE: 146/161/3.0 :( Math Courses: Calculus1, 2(A+, A+), Linear algebra1, 2(A+, A), Analysis1, 2 (A, A+), Basic Statistics (A+), Probability & Mathematical statistics (A+), Topology1 (A), Complex analysis (A+), Ordinary differential equations (A+), Discrete mathematics (A), Insurance mathematics (A+), and Number theory (A+), and so on. Econ Courses Undergrad: (All A+) Principles of economics 1,2, Micro, Macro, Economic statistics, Mathematics for economics, Econometrics, Growth, International trade, Public, and so on. Econ Courses MA: Microeconomics1 (A+), Macroeconomics1 (A), Econometrics1 (A), Time series analysis (A), Microeconometrics(A), Advanced microeconometrics(A+), Panel data analysis (A+), and so on. Other courses: Advanced computing with MATLAB (A+), Two R programming certificates (coursera) Research Experience: Thesis and another research paper Programming: R, MATLAB, Stata, and Latex. Teaching Experience: Undergrad mathematical statistics, undergrad econometrics. Weaknesses: Horrible GRE and TOEFL score.
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Hi all, I am a current Master of Science in Statistics student beginning the process of applying to Economics PhDs for Fall 2021, though I'm struggling to get a sense of the caliber of programs I should be applying to. Of particular note are an F in Calc II, a D- in Linear Algebra, and a C in Econometrics, due to then-untreated mental health problems (which I'm assuming I should not mention in my SOP, correct?). I'm hoping my GRE, strong econ (bar metrics), and more recent math/stats record will overcome my spotty undergrad grades. Many thanks for any input you can provide regarding program caliber. Graduate program: MS in Statistics, online program. Top ~25 statistics program. MS in Statistics GPA: 4.00/4.00 Undergraduate Degree: BA in Economics, Public Policy, Minor in Statistics. Top ~30 program. Undergraduate GPA: 3.47/4.00 GRE: Q 169, V 169, AW 5.5 Math Courses (reverse chronological): Grad Linear Algebra (ongoing), Advanced Calculus I (A), Diff EQ (A), Linear Algebra for Applications (D+), Discrete Math (A), Multivariable Calculus (B+), Calc II (D), Calc II (F). Stats Courses (reverse chronological): (Ongoing grad courses in Bayesian methods, regression, multivariate analysis, and spatial statistics), Grad Statistical Methods I (A), Grad Mathematical Statistics (A), Grad Statistical Computation in R (A), Spreadsheet statistical models (B+), Intro to Probability (B), Linear Statistical Methods (B-), Intro to Statistics (A). Econ Courses (reverse chronological): Senior Paper II (A-), Senior Paper I (B-), Advanced Micro Theory (A), Applied Econometrics ©, Advanced Macro Theory (A), Economic Thought (A), IO (A), Labor (A), Intermediate Macro (A-), Intermediate Micro (A), Economic Statistics (A-), Econ 101 (A). Related Experience: No RA. Undergraduate TA for intermediate macro. Private sector experience as an oil and gas research analyst at a reputable firm. Letter of Recommendation: Planning to get two from econ research faculty members: one under whom I served as an undergraduate TA, extracurricular chair, and pseudo-collaborator (nothing published), and one under whom I wrote my senior research paper (not published, and I didn't actually submit an honors thesis for defense, again largely due to mental health, but he liked my paper and suggested I reach out to him for a letter if I wanted to pursue grad school). Then either my Advanced Calculus I professor or my undergraduate Econ Department Chair. Research Interest: Very strong interest in empirical macro, but don't want to over-commit to an area. May pivot toward applied analysis of education/anti-poverty interventions once I start taking reading more literature/engaging with research more. Thanks again! -
Hello folks, I am an ug in europe planning to apply for phd in the next 2 years. I take 5 classes in this semester. 3 of them are intermediate macroeconomic theory 1 (eric sims), mathematics for economists (simon blume) and Linear algebra and differential equations. I am pretty sure that I will ace all of these courses but my other 2 courses are microeconomic theory 1 and statistics 1 and I will probably pass these courses with b-/b because of high level course work and I couldn't focus on them because I need to take care of my grandparents. If I had time I would probably get an A from those courses too. I can use pass/fail option at the end of the semester for these 2 courses and it won't affect my GPA. However, I don't think this would be good in my transcript. What should I do? My current gpa is 3.80 and I am in my second year. Moreover, I am pretty sure I can take A's in microeconomic theory 2 and statistics 2 in the next year but corona ruined everything.
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So ultimately I want to take Grad Micro and Statistics while at undergrad and was wondering what math classes I would have to take beforehand in order to be best prepared for those two. Right now I'm planning to take honors sections of Calc III and Linear Algebra but I'm not sure what the rest will entail? Maybe some real analysis? Any abstract algebra? Thanks -
My college doesn't offer Real Analysis. What other class should I take or is similar to Real Analysis?
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I am going to apply for some PhD in Economics for Fall 2019 My undergrad: majored in Accounting 8.42/10 (one of the top schools in business and economics in Vietnam) My masters: majored in Finance 4.38/4.5 (an unranked university in South Korea). Math course: Linear Algebra (A+) Calculus (B+) Optimization (A+) Probabilities and math statistics (A+) Applied Statistics in Business and Economics (A+) Statistics (Grad) (A+) Econ courses: Microeconomics I (B+) Macroeconomics I (A) Development economics (B+) International Economics (A) Theories of Monetary Finance (A) Econometrics (Grad) (A+) Time-series (Grad) (A+) My unofficial GRE score: Verbal 147, Quantitative 167. I have not received my AWA score yet. My LORs: 1 from my masters thesis advisor (PhD in Finance at Wisconsin at Madison)- not really strong. 1 from a professor that I worked as his RA (PhD in Economics at Boston Uni)- looks okay 1 from a statistics professor, I am not sure about this letter. My questions are: My background lacks calculus II,III, and some other math courses as well as intermediate micro and macroeconomics? How does it hurt my application? My verbal score is quite low, given that I am an international student with my IELTS score of 7.5? I understand that the committee puts more weight on Quantitative section, but does my super low verbal harm my chance? If I take some online course without certificates on Math, does it count? Some of schools that I may shoot: Hawaii at Manoa, Wisconsin at Milwaukee, Clark, UTexas at Dallas. Do I have any change getting in? Do you guys have suggestions for some schools that I should apply for? Any suggestion is highly welcomed. :) -
Hi people, I plan to apply to a master degree in Europe next year, and would be pleased if you could help evaluating my profile :) Undregad GPA: 8.2/10 (standardized). I graduated in 7th out of 75 people on the class, from a top 3 economics school in Brazil (Insper). Grades: Calculus: A/ Calculus II: B/ Statistics: A/ Statistics II: B/ Econometrics: A/ Econometrics II: B Recommendation letters: I intend to take from tearchers from my university, but I don`t think I was the most memorable student. GRE: Haven`t done yet, but I think I will do well PROS:I`m currently working as a professional economist in the largest investiment bank in Latin America (2 years). CONS: I did not well in my last year (my thesis was a D, for instance). That`s because I was more interested in working at that year than in my thesis. I was thinking about Msc in LSE/ Mphil Oxbridge. Do you think I got a chance in any of them ? If not, what about Barcelona GSE MEF, and Bocconi Msc in Economics and Social Sciences ? Tks!
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I'm entering my final year of undergraduate studies - looking to go to a good school for a Master's program (like LSE's MSc in Econ or MSc in Econometrics and Mathematical Economics). I have a lot of econ and a lot of math, but the 'pure, proof-based math' I have really is only a few courses in probability theory and the standard Rudin RA. I received an A- in the latter which sounds bad by American standards, although in my country there is lower grade inflation (that A- represents the top 10-15% of my class - about a third of the class failed). In my final year, I have a choice between either Real Analysis II or some more applied statistics/econometrics classes that I find really interesting. I'd prefer to take the latter, but I'd like to ask - given my background and graduate admissions aspirations, would it be necessary/helpful for me to take RA II? I'm just concerned I don't have enough pure hard math but I don't know if it's really as necessary given that I both already have a decent mark in my transcript for RA I and I am not applying for a PhD program. Any thoughts would be much appreciated.
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Undergraduate Institution: Simon Fraser University (Canada) Major: Economics Minor: None GPA: 3.31/4.33 Type of Student: International Upper Division Courses: Calc I (B), Calc II (B-), Intermediate Macroeconomics Theory (A), Intermediate Microeconomics Theory I (B+), Intermediate Microeconomics Theory II (B-), Intermediate Econometrics Methods-seminar course (B), Statistical Analysis of Economic Data (B), Linear Algebra (C+)GRE: 159V, 160Q, 4.5W Recommendation Letters (I plan to request the following. See note below): -well-known economics professor who taught me Advanced Macroeconomics Seminar (A-) -Economics Development Seminar (A) -Econometrics Methods Seminar (B) Previously I asked these 3 professors for reference letters for graduate economics programs & was accepted to all of them. However, I didn't attend graduate school due to personal reasons i.e. mandatory military service in Taiwan. I've now changed my mind and decided to go for Statistics. Applying To: MS Statistics (Rutgers) , MS Statistics & Data Science (University of Houston) Skills: R, Python Research Experience: Public Policy Professor - co-author for academic journal article using statistical analysis discussing civil service culture I know my GPA is quite low, but I've been told that: 1. SFU is known for its relatively harsh grading scheme i.e. the percentage who get grades in the "A" range are quite low- 10% or less I've been told. 2. SFU is a still relatively top ranked school in Canada so unless you're applying to top ranked grad programs with these grades, I should still have a chance. -
I'm entering my final year of undergraduate studies - looking to go to a good school for a Master's program (like LSE's MSc in Econ or MSc in Econometrics and Mathematical Economics). I have a lot of econ and a lot of math, but the 'pure, proof-based math' I have really is only a few courses in probability theory and the standard Rudin RA. I received an A- in the latter which sounds bad by American standards, although in my country there is lower grade inflation (that A- represents the top 10-15% of my class - about a third of the class failed). In my final year, I have a choice between either Real Analysis II or some more applied statistics/econometrics classes that I find really interesting. I'd prefer to take the latter, but I'd like to ask - given my background and graduate admissions aspirations, would it be necessary/helpful for me to take RA II? I'm just concerned I don't have enough pure hard math but I don't know if it's really as necessary given that I both already have a decent mark in my transcript for RA I and I am not applying for a PhD program. Any thoughts would be much appreciated.
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I will be graduating in a few weeks from a top LAC (Williams,Amherst, Swarthmore, Bowdoin) with a degree in math and a concentration in statistics. My goal is to pursue an Economics Ph.D in the future. Although I studied math, there are a few holes in my math education as a result of taking time to pursue interests in the humanities. Specifically, - My linear algebra and diff eqs are both weak. I received As in both these courses, but I don't think I fully internalized the material. Rather, I am good at taking tests and was able to get through by memorizing equations, etc. I would like to retake these courses and understand material at a deeper level - I've never studied modern algebra - Received a B in real analysis. Before applying for a Ph.D program I would therefore like to improve my math skills. I will be working in consulting following graduation so it is unlikely that I can take classes in my spare time. So I am wondering if there are any masters programs that would help me fill in these holes while preparing me for a top Ph.D program. Open to math, stats, or econ masters, but I've heard that math masters are better prep.Which programs specifically should I look into? I would also like to have more time to study for Math GRE. If it helps, my GPA is approximately a 3.8 and I have some limited research experience. Alternatively, should I apply straight for Ph.D programs? More about my profile: Econ courses: intro, micro, macro, accounting, metrics, some electives. All As. Math courses: Calculus sequence, Linear Algebra, Diff eqs, Operations research, Analysis, Probability, Math stats I-II. All As execept analysis and probability (B in analysis, B+ in probability) CS: Intro to OOP, Data Structures. All As. Research experience: 1 semester with the stats department. Rec letters: 2 maths and one Econ professor. They know me better than average but not as close as I'd like. Thanks! -
Hi! I am seriously wondering whether i should retake Gre or not due to the verbal score. I will apply next year for 2020 admission. Although i have enough time to prepare for Gre, I was so stressful to pour my efforts only for better Gre score. I hope someone here can help me making a decision on GRE and evaluate my profile for my target schools. Thank you. Test Scores (Gre): Quant 169 (96%), Verbal 158 (80%), AWA 4.0 (60%) Undegrad GPA: 3.6/4.0- Applied econ major in a school in Asia [Classes taken] - Economics: Microeconomics, Statistics for Economics, Econometrics - Statistics & math: Calculus1, Linear Algebra, math analysis, Intro Computer programming, math statistics 1, math statistics2, Regression analysis, Time series, Nonparametrics, Bayesian statistics, Computational statistics Graduate GPA: 3.9/4.0 [Classes taken] - Marketing: several Marketing Quant Phd seminars - Economics: Microeconomics1, Econometrics1, Applied econometrics, IO theory - Statistics: Machine learning Research Experience: A year research experience in applied econ. lab, one publication and working papers in non-marketing related fields Concentration Applying to: Marketing Quant (focusing my research interest into structural modelling) Target Schools: Yale, Michigan, Wharton, UCLA, U Toronto I have a question as to which courses may be helpful for structural modelling. As far as I know, Empirical IO is the most fundamental course for structural modelling and hot issue in Marketing. what else courses are fundamental, necessary, complementary or helpful? I come up with some courses like Game theory, Information economics but do not have an idea on what extent these courses is helpful. -
Hi there! I was wondering if I could get some advice about what kind of chance I stand with Ph.D. Admissions. GPA Undergrad and Grad: 3.6 GRE: 167Q/162V/3.5A I have recommendations from my thesis advisor from my MS in Finance and from the finance department chair who I spent a lot of time with setting up my dual degree program so that I could graduate with both a BBA and Masters in Finance. As for math classes and the like, I've taken Calc, and then 3 different levels of statistics, the last of which was grad level statistics. I'm extremely stressed because you look at the admissions numbers and they're like "Yeah we get 5000 applicants but we only like to admit about 2" so I have no idea if I'm applying to schools where I have a chance or not! The schools where I'm applying are: Imperial College University of Mannheim Columbia University of Reading University of Rhode Island Drexel University Newcastle University NYU Are these reasonable schools for me? Or am I aiming too high? I'm so stressed, please help me.
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Hello everyone, I am currently struggling with an important decision regarding a Postgraduate programme for next year and could use some input from the community. Current situation I have been accepted to the following programs: - MSc Economics (UCL) - MSc Economics, Two Year program (LSE) and am waiting for a response (which is very likely to be positive) from: - Master of Advanced Studies in Economics (KU Leuven, Belgium) Background I have a Bachelor degree in Engineering from a good university in in my home country but without that much international projection (PUC - Rio de Janeiro, Brazil) and I am currently finishing a MSc Statistics program at KU Leuven, Belgium, very likely with distinction. I have a strong quantitative background in Mathematics and Stats, but I lack formal knowledge in theoretical economics. My Economics knowledge comes from a lot of reading, 2 optional courses (Macro and Development Econ) and 2 Coursera MOOC's on (Principles of Macro and Micro). Goals For the past couple of years now, I have been doing the (surprisingly, imo) common transition from Engineering into Economics. I would like to pursue a PhD with a focus on applied econometric analysis to Development, Public Policies and Growth (if that doesn't sound too vague). I see myself working in academia, think tanks, research or policy making institutions. I have no intention of going into Finance or Consulting, or the business sector in general. Misc I applied to some PhD positions this year already, but was not accepted, in my opinion (just my opinion really, because no feedback was ever given), partly for lack of economic knowledge and training. In all three Unis, a good performance in the Master program is almost a guarantee to be accepted at the PhD program afterwards. However, this does not guarantee funding, so I would also apply to PhD's elsewhere (Oxbridge, LSE, UCL, Wawick, other places outside the UK). Due to already having a 2-year Master program (in Stats), I originally applied to 1-year programs only, both in UCL and LSE. During my application, LSE contacted me and asked whether I would also be open to be considered for the 2-year program, to which I said yes. One thing that concerns me a little was the fact that having two two-year Master programs and a switch of fields from my original Engineering degree would make me come across as somewhat indecisive and hurt my chances in the future. I have no clue whether this is indeed a thing or it's just me being an overthinker, I would also love to hear some thoughts on that if someone has any. Any advice on my situation? Thanks a million! TL;DR Engineer/Statistician seeking advice on choosing between MSc Economics at UCL, LSE (2-year) or KU Leuven as a first step to a future PhD.
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Hi all, I am considering between these 3 schools, hope you can help me with. 1/ Rutgers: MS in Statistics and Biostatistics. A great school and program with good placements and the thesis option. MS students can transfer into PhD 2/ Case Western Reserve: MS in Biostatistics. Very well ranked university, particularly in Ohio. Can't find any historical placements. MS students can transfer into PhD 3/ South Carolina: MS in Statistics (cannot compare to the above 2 in every aspect, the reason I am considering this school because I got the teaching assistantship) My most concern is finding the job in US after graduation, regardless of the field. The ability to transfer to PhD is also important, in case the plan of finding the job does not work out and I can save 2 years of course work. I am extremely lucky that the tuition is not a problem. My favorite school right now is Rutgers but I really appreciate any advice, especially from the above programs' alumni. Is there anyone who transferred directly from MS in Stat/Biostat at Rutgers/CWRU to their PhD? Thank you very much in advance. -
I have been looking over practice problems for both stats and geometry. Has anyone else done anything different in addition to practice?
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Hello, I'm curious as to what level of phd programs to which I should apply when considering my (still developing) credentials. As for a phd in economics, I'm particularly interested in econometrics, but I enjoy the statistics and mathematics components of my undergraduate program so greatly that I may even apply for a phd program in statistics or mathematics instead--depending on which phd track will allow me to get into the best school possible. I'm only just now beginning my junior year, so not everything is finalized yet. I'm sure you all have a wealth of valuable information that could guide me on my final two years as an undergraduate. Moreover, I'm quite flexible as far as phd programs and school locations go. I'd be happy going just about anywhere (even across the pond in England, or back home anywhere in the United States) or studying any of the three disciplines that I've previously mentioned, just as long as I can go to the best school possible. Thank you for reviewing my first post! My Credentials: Undergrad School- U.S. University with average ACT at the 84th percentile (this website told me to keep it confidential…) Majors- triple majoring (through the Honors College) in BS-Mathematics, BS-Statistics, BS-Economics GPA- 3.8 Brief Grade Breakdown- 3.875 GPA in Economics, 3.9 in Statistics, 3.75 in Mathematics (Several Honors Classes [i.e. advanced & graduate level] were taken in each discipline) Mathematics Key Courses Completed- Calculus 1, Calculus 2, Calculus 3, Matrix Algebra / Advanced Linear Algebra, Differential Equations, Advanced Calculus of One Real Variable, Analysis, Theoretical Proof Writing, Nonlinear Dynamics / Chaos and Fractals, Advanced Multivariable Calculus, Mathematical Statistics, Probability Theory, Statistical Inference Programming / Software Fluency- SAS, Stata, R, all Microsoft Office Research- I led my own research project at a Tier 1 AAU Research University securing sizable grant money in phd-level econometrics as a college sophomore that focused on a new way to create a hedging-optimization function of multi-legged financial option strategies through the use of autoregressive conditional heteroskedasticity and general autoregressive conditional heteroskedasticity errors. GRE- I have not taken the GRE yet, as I'm only about to begin my junior year in the fall. GRE Mathematics Subject Test- I have not taken this yet, but I'm nearly positive that I want to. I'd love some advice about the GRE Mathematics Subject Test. Thanks for the input! I'm new to the phd / graduate school application process, so any advice is of great help even if it's basic.
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Hi all, I am an aspirant for Finance PhD. My background is Statistics. I have been advised on this forum (as well as I am extremely interested) to focus my research interest on topics of finance research which uses statistics extensively. It would be great if you guys can point out the areas of research in finance which uses statistics extensively. I have been told that Corporate Finance, and Statistical Arbitrage uses Statistics extensively. But what are the other fields of research? Also, please let me know top 20 schools which are great for those areas of research in finance. Please specifically mention for Stat Arb at the least (would be much helpful if names of researchers/profs are also mentioned). Thanks! Regards Rashmi
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I am interested in getting a PhD from NYU Stern/Columbia GSB in finance/statistics/decision theory at some point in the future. I have an offer to work as quant at an IB in NYC. I'd like to know if undertaking courses at NYU/Columbia from the PhD curriculum part-time to the extent possible, would a. Strengthen my application(I have an undergraduate+masters in engineering + some quant experience) b. If admitted, reduce the time I spend completing the PhD, full-time, to 2-3 years - assuming I manage to do most of the coursework in the curriculum part-time while working. More generally, how could one utilize a few years spent as a quant in NYC to prepare for a business PhD? Apologies if this question has already been asked/answered before - forum search didn't return anything relevant.. Thanks!
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Meaning, how will a masters in Math help in an Economics PhD program and how will a masters in Statistics help? Which would be more beneficial? And would it be overkill to do both? I have a BA in Economics, and I am trying to decide on a masters program because I don't have a lot of experience with math and statistics. Part of me wants to also get a masters in Economics because my undergrad experience was not as great as it could've been, but after reading some of the threads here, I think math or stats would better serve me. What do you think? Thanks for your time. :) -
Which one is the best route for econometrics research?: MS in Economics/ PhD in Statistics **or** MS in Statistics/ PhD in Economics **or** Neither... Suggestions?
