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Found 12 results

  1. Hi, I am planning to go for a CS or Data Science degree in Canada in winter 23 or fall 23. CGPA: 9.10(tier 3 university in India), IELTS: 7.5, Work experience: 10 months full time plus 3 internships(one research based), Decent LORs, Better SOP What universities should I target. I am interested in both MSc and MASc courses. Any help would be beneficial. Thanks.
  2. Country - India Undergrad Institution: Not a top one (Average in India) (3 Year Degree) Major: Statistics CGPA : 9.14/10 Master’s Institution: 2nd best in India Major: Statistics CGPA/CPI : 10/10 (First Year) GRE: Haven’t taken yet Coursework until now ( Courses in bold are done in Master’s ) Statistics- Bayesian Modelling and Data Analysis (10), Regression Analysis(10), Analysis of Variance(10), Statistical Inference (10) , Probability Theory (10) ,Econometrics(10), Time Series Analysis(9), Linear Models(9), Stochastic Process & Queuing Theory(10) ,Survival Analysis and Biostatistics (9), Multivariate Analysis (9). Mathematics- Calculus(10) ,Linear Algebra(10), Mathematical Analysis(10), Complex Analysis(10), Real Analysis(10). Programming- Computer Programming & Data Structures(10),Statistical Programming using C(9), Statistical Data Analysis using R(9). Economics & Finance - Introductory Microeconomics(9), Introductory Macroeconomics(9), Financial Statistics(9) There are few other courses which I haven’t mentioned here. Research/ working experience : Working as a research intern (3 Months) in a big American pharma firm on Statistical ML Methods. I am working alone with my mentor on the project and it may lead to a publication at later stage ( I might not be a part of it though). Will try to do a semester long research project in next semester in ML/Bayesian Modelling. Miscellaneous Activities : - Lots of extra curricular activities - I have a personal blog which is partly related to Statistics. - Course Project On Bayesian Logistic Regression . Research Interests : Applied Statistics, Statistical ML, Biostatistics and Bayesian Modelling. I can handle the Mathematical courses at start of PhD but I don’t want to do theoretical research. I wish to work in industry as a researcher and would like to work in applied areas. I am also considering applying to CS departments. Recommendation Letters : I think I can get good recommendation letters. I have good relations with professors and I hope I can get a good one from my mentor at internship as well. I would real appreciate if people here could evaluate my profile and also suggest good schools for my profile. I want to go in a school which has a lot of work in applied areas. Alternatively, I am also considering to drop a year and work as a RA after graduating in order to boost my profile. Or apply for another Masters program at a good foreign institution. Will Part 3 (MaST) in Mathematical Statistics be a good option for me? If possible, please include out of reach schools as well in your suggestions that may become within reach of I go for Part 3 at Cambridge or work as a RA in 2022. Thanks!
  3. Undergrad Institution : Top 5 public university (US News) Major(s): Statistics, Mathematics, minor in Physics GPA: 4.0, haven't graduated yet Type of Student: Hispanic male, domestic Programs Applying: Statistics PhD, Fall 2023 admission Courses taken: Calculus I-III, Differential questions, Modern Physics, Mechanics I, Data Structures and Algorithms, Electromagnetism I, Regression Analysis, Intro to Probability Theory, Sets and logic, Discrete math, 3 linear algebra courses (computational, proof-based, data science applications), Design of Experiments/ANOVA, Statistical Theory / Mathematical Statistics Currently taking and plan to take: Time series analysis, a second probability course (stochastic processes, probability spaces), Abstract Algebra, Categorical Data analysis, Real Analysis I-II, Nonparametric statistics, Statistical computing, Statistical learning, Complex variables GRE General Test: Haven't taken yet Research Experience: Worked with a radiation oncology professor in a project involving proton therapy, mostly did literature review until I realized it wasn't my thing and left. Currently doing applied time series analysis with a statistics professor. I am the primary author for a current paper and it could be published. Pertinent Activities or Jobs: TA for a research course, mentor for an undergraduate research program, tutoring chair for a Physics society chapter Awards: Dean's list / Presidential honor roll some semesters, a merit scholarship Letters of Recommendation (prospective): Two from statistics professors. One is my research mentor and the other is one who I believe can write me a strong letter. Third will probably be from a mathematics professor. Miscellaneous skills & points: Haven't taken any graduate courses yet and don't plan on it, but that could change. I have a few years of programming experience and have a few projects listed on my resume in various languages, including GUIs, implementations of B-spline and Bezier curve interpolation and visualization, and large-scale machine learning and AI. I switched into the math major sort of late so I won't be taking much after Real Analysis since I'm doing it my senior year. Schools applying to: This is where I'm the most lost as I'm not sure where I should be applying to. A preliminary list is UW Florida State U of Michigan CMU Penn State Ohio State Too early to say what I'm interested in exactly but I think that any school with a presence of Bayesian statisticians would be nice. My process for picking schools was looking loosely at USNews rankings, seeing if they had professors doing stuff I have marginal interests in, and weighing in whether I would want to live in the area. I also started looking at what alumni are up to, but to be frank I have no idea what I'm doing. Overall I'm looking for advice and or recommendations for schools to apply to. If there is anything missing in my profile that I should try to address before I graduate. Thanks in advance.
  4. Hi My profile is as follows: Bachelors in Computer Engineering from India - Mumbai University GRE: 296 TOEFL: 99 Work Experience: 3 years as a software developer GPA: 6.29/10 Can you please recommend universities in USA for MS in MIS and MS in CS (open to both)? Since my GRE is on the lower end, I will first prefer to apply at universities that are not considering GRE scores. Thanks!
  5. Phd Financial Economics/ Economics Evaluation ( Planning to Apply Fall 2021):GRE: Yet to Take ( Planning to take in June)TOEFL: Yet to take ( Planning to take in June)Undergrad: NIT Durgapur'2017 ( Chemical Engineering)- 8.20/10Grad: IIM Indore'2019 (Top 5 in Management as per NIRF ranking published by Ministry of Human resources India)-MBA ( 3.38/4.33, Top 35 out of 540, Don't have a proof yet but I am trying to get one from Admissions Office)Courses & Grades:1.Mathematics I :Functions of Single Variable,Functions of several variables,Integral Calculus, Multiple Integral, Vector Calculus, A (9/10)2.Mathematics II:Liner Algebra, Ordinary Differential Equations,Fourier series,Laplace and Fourier Transforms,Probability A (9/10)3.Mathematics III:Partial Differential Equations (PDE),Numerical Method,Complex Analysis,Optimization: Mathematical Preliminaries: Hyperplanes and Linear Varieties; Convex Sets, Polytopes and Polyhedra,Linear Programming Problem (LPP)A (9/10)4.Advanced Numerical Analysis: Eigen Values A(9/10)5.Probability & Statistics:Random Variables and Associated probability distribution,Sampling Distributions and Statistical Inference, Hypothesis testing,Simple Linear Regression Analysis A (3.783/4.33)6.INTRODUCTION TO QUANTITATIVE DECISION MAKING:LINEAR PROGRAMMING,DECISION TREES,EXTENSIONS OF LINEAR PROGRAMMING: IPP AND MILP,APPLICATIONS OF LINEAR PROGRAMMING, B (3.367/4.33)7.Microeconomics Introductory Microeconomics Course A (3.867/4.33)8.Macroeconomics Introductory Macroeconomics Course A (3.917/4.33)9.Economics of Strategic Interactions Market Structures and Organization,Review of Competition and Monopoly,Homogeneous Goods,Heterogenous Goods,Concentration, Mergers and Entry Barriers, R&D,Advertising, Quality, Durability and Warranties; readings from Industrial Organisations A ( 4.1/4.33)10.Macroeconomics of Developing economies:Growth Models ( Solow etc)A ( 4.1/4.33)11.Financial Markets & Central Banking:Stabilisation Policies in Closed and Open economy IS-LM Models,Monetary policy transmission mechanism, Credit Channel Expected Inflation and Monetary Dynamics, Optimum Policy Target,I nflation targeting B+(3.433/4.33)12.International Finance:Balance of Payment, Exchange Rate, Drivers of Exchange Rate and,Foreign Exchange Market,International Parity Conditions: Interest Rate Parity,Foreign Exchange Risk Management,Hedging B (3.1/4.33)13.Corporate Finance- Corporate Finance I (A) Corporate Finance II (B)14.Investment Analysis & Portfolio Investments (B)- Portfolio Management15.Equity Financing (B)- IPO/FPO/PE/VC 16.Practicing Corporate Valuation B- DCF/ Relative / M&A17.Corporate & Retail Banking B- RWA calculation, CaR Ratio, Asset Liability Management, Basel NormsResearch Experience:1. IIM Indore: Microeconomics - Course of Independent Study Project- Given Presentation to Economics Department ( Awarded a credit ). Was working on the paper but it is still incomplete not sure if it is going to be completed before I apply.2. IIM Indore: Live Project ( Cost Analysis) with Idea Cellular (before the merger of Idea & Vodafone) -Worked in a group although- Term Paper submitted3. NIT Durgapur: Not relevant to econ research. Have a paper published (co-authored) in chemical Engineering in Springer ( impact factor 1.47) and a chapter (co-authored) in a book.4.NIT Durgapur: Final year Thesis (Chemical Engg) (In a group)Work experience: Deutsche Bank ( almost 2yrs) - Corporate Banking AnalystAlso, I am CFA L1 candidate- Hoping to pass!LORs:1. Microeconomics Professor -IIM Indore under whose supervision I completed the Microeconomics project2. Macroeconomics Professor- IIM Indore- Who took courses3. Statistics Professor - IIM Indore - Who supervised the Live projectConcerns: I know my profile is lacking in the following: RA ships, Not enough math/econ courses. I am planning to take up online econ/math courses ( real analysis, measure theory) and R/ Stata courses as well. Which kind of certifications will be considered by admissions committee ( any course certification from US univs?) Can someone specify some certification courses covering the above topics which can compensate for the lacking in maths/econ courses?I do know I like research , but till now most people have suggested me to go for a Masters rather than a Phd. is there any hope for me to get into a PhD econ program with this profile?Kindly suggest some schools I can apply to for both Phd & Masters in econ/ Financial economics where I might have a chance!Thank You!
  6. BS Electrical Engineering from country's top college graduated 2019 with one extra-year GPA 3.0 GRE (168 quant, 155 verbal, 3 analytical) 1 year research experience Decent Letters of recommendation TOEFL 113 No publications so far What kind of grad school can I target? Is it worth applying to U of Alberta in Canada? What can I do to improve my chances now? How can I build a stronger profile going forward?
  7. Background: Graduated in 2019 with double major in Math and Computer Science and then worked in finance industry for a year. Returning this fall for a masters in the computer science department (at my school most statistics is under computer science) and will focus on some combination of machine learning / inference. My areas of interest in statistics are bayesian inference, causal inference, theoretical machine learning, and theoretical statistics. I am also interested in applications to healthcare. I would like to evaluate my prospects for applying to PhD programs in the fall in Statistics (or Biostatistics) and Machine Learning, as well as to hear feedback. Undergraduate Institution: Top 3 School. I will be starting a Masters in Computer Science focusing on inference/statistics this year and will be applying to grad schools in the fall. Majors: Mathematics, Computer Science Minor: Chinese GPA: 3.6/4 Major GPA: 3.76/4 Type of Student: Domestic White Male Courses taken: Math: Differential Equations (A), Linear Algebra (A), Real Analysis (no official grades that semester), Complex Analysis (B), Abstract Algebra (A), Intro to Stochastic Processes (A), Discrete Math Seminar (A), Logic Seminar (B), Intro to Probability (A) CS: Programming Fundamentals (A), Intro to Algorithms (A), Intro to Machine Learning (A), Algorithms II (B), Graduate Machine Learning (A), Graduate Seminar Machine Learning (A), Graduate Theoretical CompSci Seminar (A), Computer Systems (B), Software Construction (C) Stats: Graduate Mathematical Statistics (A), Graduate Inference (B), will also be taking 4 more courses in the grad statistics curriculum this year. Science: Biology I (No Official Grades that semester), E&M Physics (No Official grades that semester), Quantum Physics I (B), Quantum Physics II (C), Classical Mechanics (A), Intro Chemistry (C) GRE General Test: Not taken yet - seems like it might not be necessary? But happy to take if can improve my chances. Research Experience: Spring 2015-Fall 2016: Machine learning research in the physics department at a different university applied to theoretical physics data, published in a physics journal. Fall 2020: I will be starting a 1-year Masters this fall and will be doing statistics or ml-focused research. Working Experience: Fall 2017: Teaching Assistant for Abstract Algebra I Summer 2018, Sumer 2019-Summer 2020: Intern and quantitative trading analyst at bank Letters of Recommendation: Could get one from past research advisor, one from current research advisor, past work supervisor, or academic advisor Currently considering schools: PhD: What are my prospects at applying to top PhD programs (I.e. MIT, Stanford, Berkeley, UW, UChicago,...)?. Questions: Based on my background, am I better suited to apply to Statistics/BioStatistics or Machine Learning PhD Programs? Do you generally apply to do research under a specific professor, or is this decided after acceptance? Would it be more valuable to do masters research under: A well-known quantitative finance professor (would likely do relatively applied Ml/stats related work on healthcare data) A faculty in inference who is less well known (would probably do more theoretical work, the research group's interests are related to but not exactly bayesian/causal inference) How big of a problem is it that I have no experience in my areas of interest outside of my classes? Should I reevaluate? I would love feedback from you all and I greatly appreciate your help!! Please let me know if there's anything I can elaborate on! Thank you so much!
  8. I am an International student completing Master's in an US institute. I am applying for Ph.D. programs in Biostatistics for Fall 2020. I have a good GPA, industrial and research experience and strong LORs. My main concern is my low GRE score and that I don't have any publications. I will be publishing my Master's thesis but not before I complete the applications. Undergrad Institution: International, one of the top universities, good reputation Major: Statistics GPA: 72% (converted using WES - 3.58 GPA) Grad Institution: Top 100 in USA Degree: MS. Applied Statistics 50% scholarship GPA: 3.89/4.0 Student: International, female Courses: Courses (Sem I, II, III and IV): Fundamentals of Statistical Theory (A), Regression Analysis (A), Statistical Software – R and SAS (A), Design of Experiments (A), Predictive Analytics (B+), Design & Analysis of Clinical Trials (A), Categorical Data Analysis (A), Non-parametric Statistics and Bootstrapping (A -). GRE: 160 Q, 150 V, 3.5 AW, scores are 3 years old TOEFL: 104 Research/Work Experience: 3 years as a Data Analyst in a global Fortune 500 Market research company (native country), during Masters in USA - 2 and half years as a Teaching Assistant with 6 professors, 1 year as Research Assistant with 2 professors, 6 months with a startup as a Statistical Analyst Intern. Currently working as a Clinical Research Assistant within an Analysis unit at a Medical Center of a reputed University. Judge and Mentor for a Datathon arranged for Undergrad students. Have attended a conference in 2019. Both events were associated with American Statistical Association. Two Awards of Excellence when I worked as Data Analyst before Master's. Won Best Teaching Assistant Award as well. Expecting strong Letters of Recommendation. Applying to: University of Rochester Ph.D. in Statistics - concentration in Bioinformatics & Computational Biology University of Maryland - Ph.D. in Statistics - Biostatistics and Bioinformatics concentration University of Buffalo - Ph.D. in Biostatistics University of California, Riverside - Ph.D. in Applied Statistics University of California, Davis - Ph.D. in Biostatistics Penn State - Ph.D. in Biostatistics University of Texas, Dallas Is my choice of Universities appropriate with my profile? Am I aiming too low considering my work experience, research experience and GPA. Which of the above Universities conduct an interview before giving an admit? Please suggest some top universities which might be a good fit with my profile.
  9. Hello everyone, I am a senior who will be applying to PhD programs in biostatistics. I have posted here before about statistics, but my list of schools was very different and after looking into biostatistics programs at the suggestion of a couple people here, I found that they actually do research which I find very interesting. Undergraduate Institution: Top 20 among public universities; big, well-known state school; top 20 mathematics department. Majors: Pure mathematics Minor: Computer Science GPA: 3.73/4.0 Major GPA: 3.83/4.0 Type of Student: Domestic Asian Male Courses taken: Math: Calc 3 (A) Intro Linear Algebra (A) Honors Intro to Proofs (B) Mathematical Probability (A) Ordinary Differential Equations (A) Intro Complex Analysis (A) Elementary PDE (B+) Honors Linear Algebra (A) Honors Intro Real Analysis I (A) Honors Abstract Algebra I (C+) Intro Real Analysis II (B+) Mathematical Statistics (A) Graduate Ordinary Differential Equations (A) CS: Intro to CS (A) Data Structures (B) Computer Architecture & Design (B) Algorithms (A) Currently taking: Graduate Real Analysis I (measure theory) (Going very well so far), Graduate Regression Analysis, Topology. Will take in Spring: Graduate Time Series, Independent Study (Geometric Measure Theory), Finite Automata, Graduate Systems Biology. GRE General Test: 164V (94%)/164Q (84%)/4.5 (81%). Concern: Weak Q score. GRE Subject Math: Not taking. Research Experience: 1 semester of exploratory research on the mathematics of cancer dynamics with professor I had for diffeq (ended after a semester since professor left uni, but we had a great connection and many great discussions). 1 mathematical biology REU; will likely result in eventual publication in a biology journal, however this isn't set in stone yet. Will be giving a talk at 2020 Joint Math Meetings on this research. From 2019-2020, working as research assistant with an engineering professor on quantum computing applications to environmental modeling/optimization problems. Working Experience: 3 semesters tutoring Calculus I, II, Intro Linear Algebra, Mathematical Probability (simultaneously). (Will continue this through graduation) 3 semesters grading for Mathematical Probability, Advanced Linear Algebra, Mathematical Statistics (one course for each of the 3 semesters). Letters of Recommendation: One from the exploratory research on cancer dynamics (also was differential equations prof), one from REU advisor, one from measure theory professor who taught me mathematical statistics as well, one from Honors Intro Real Analysis I professor, and one from an instructor who has known me closely for a couple of years. All letters should be strong Applied to the following for PhD in Biostatistics: Harvard JHU Yale Brown Columbia BU UPenn I'd like honest opinions on what you believe are my chances at these schools. My concerns are about the inconsistent grades and low GRE. Thank you so much for taking the time to read! Looking forward to your thoughts.
  10. Hello everyone, I'm currently a senior planning on applying to PhD programs in statistics or any related field (eg. operations research) for Fall 2020. Undergraduate Institution: UCLA Majors: Mathematics, Statistics (Double major) GPA: 4.00/4.00 (cumulative) Type of Student: Domestic Asian Male Relavant Courses: Math: Calculus I, II, III (A+, A+, A+) Linear Algebra (lower & upper level) (A+, A+) Differential Equations (lower level) (A+) Honors Real Analysis I, II, III (A, A+, A+) Honors Complex Analysis (A+) Applied Numerical Methods (A+) Probability Theory (A+) Intro to Financial Math (A+) Statistics: Programming with R (A+) Intro to Mathematical Statistics (A) Linear Models (A) Intro to Data Analysis Regression (A+) Intro to Design and Analysis of Experiment (A+) Intro to Regression and Data Mining (A+) Intro to Computational Statistics with R (A+) Intro to Computation and Optimization (A+) Intro to Monte Carlo Methods (A) Python for Data Analysis (A+) Programming: Intermediate Programming C++ (A+) Java Language and Application (A+) Python for Applications (A+) GRE General: 165V/169Q/Writing unknown. GRE Math Subject: 940 (99%) Research Experience: No formal research experience, but will start a research beginning this fall under an assistant professor in the Stats/Communications department on computer vision A directed research project for two quarters under the guidance of a stats lecturer (more of a project than of research) on the topic of computer vision A Math Directed Reading Program for a quarter under a math PhD student on the topic of linear PDE. Work Experience: Three internships, one in finance, two in actuarial science (one in risk management with a ML project, the other is accounting related) One part-time job as lab assistant tutoring programing in a computer lab. Letters of Recommendation: Have not asked yet, but I am thinking about choosing from the following options: Three math professors that know me well from my Honors Analysis class (one is a tenure who taught me two real analysis classes, one adjunct who taught one real analysis, and one adjunct who taught me complex analysis) where I got A+ in almost all of them One stats lecturer with whom I did a directed research project on computer vision with and whom I took three stats classes (2 A+, 1A) One stats lecturer with whom I took two mathematical statistics classes with (I impressed him by getting ~90 on all the exams when the averages were all ~30) As you can see, the weakness in my profile is the lack of research experience, despite of good GPA, GRE and GRE sub. So I am wondering what level of schools do I have a good chance into? I don't have a school list yet, and would like to seek feedback of the range of schools you recommend (like for example, what is the chance of me getting into phd programs of #10-20 ranking schools or what are the specifics schools that I have a good chance for?) and if there are other programs that fit my background other than statistics (eg. should I apply to operations research or something else?). Thanks for your input!
  11. Hello everyone, I am a rising senior who will be applying to PhD programs in statistics with interest in stochastic processes, time series, high-dimensional statistics, and uncertainty quantification. Not really interested in biostats even though I have a couple of experiences with biomath research. Undergraduate Institution: Top 20 among public universities; big, well-known state school. Majors: Pure mathematics Minor: Computer Science GPA: 3.73/4.0 Major GPA: 3.83/4.0 Type of Student: Domestic Asian Male Courses taken: Math: Calc 3 (A) Intro Linear Algebra (A) Intro to Proofs (B) Mathematical Probability (A) Ordinary Differential Equations (A) Intro Complex Analysis (A) Elementary PDE (B+) Linear Algebra (A) Intro Real Analysis I (A) Abstract Algebra I (C+) Intro Real Analysis II (B+) Mathematical Statistics (A) Graduate Ordinary Differential Equations (A) CS: Intro to CS (A) Data Structures (B) Computer Architecture & Design (B) Algorithm Design & Analysis (A) Courses will take this fall: Graduate Real Analysis I (measure theory), Graduate Regression Analysis, Topology. GRE General Test: 164V/164Q/Writing unknown. GRE Subject Math: Not taking. Research Experience: 1 semester of exploratory research on the mathematics of cancer dynamics with professor I had for diffeq (ended after a semester since professor left uni, but we had a great connection and many great discussions). 1 mathematical biology REU; will likely result in eventual publication in a biology journal, however this isn't set in stone yet. Will be giving a talk at 2020 JMM on this research. From 2019-2020, working as research assistant with an engineering professor on quantum computing applications to environmental modeling/optimization problems. Could result in publication but would be in the spring, not while applying to schools. Working Experience: 3 semesters tutoring Calculus I, II, Intro Linear Algebra, Mathematical Probability (simultaneously). (Will continue this through graduation) 3 semesters grading for Mathematical Probability, Advanced Linear Algebra, Mathematical Statistics (one course for each of the 3 semesters). Letters of Recommendation: One from the exploratory research on cancer dynamics, one from REU advisor, one from either measure theory professor who I've had before for mathematical statistics or engineering professor I'm researching with (will decide soon). Currently considering schools only for PhD in order of ranking according to US News: UMich UPenn UWisconsin-Madison Columbia UNC PennState UCDavis JHU UCLA OSU Rutgers NYU Stern I don't want to apply to more than 10-12 schools. Please let me know what I can cross off right away and what I should consider adding to my list. It may seem like a very ambitious list given my coursework and GRE Q, but that's why I'm posting here; I don't know any better. Thank you for taking the time to read, and I'm looking forward to your input!
  12. Hi all, Thanks in advance for helping me out. I am science graduate and hold masters in Mathematics and Economics. An online micro masters in data, economics and developmental policy. I am a trained big data analyst with 1yr of experience in Business Analytics at reputed analytics firm and 2 yr of experience in data based policy analysis with International research institute (International Water Management Institute) as a pre-doctoral fellow. I wish to do PhD from top 20 grad school in US in subject related to deveopmenral economics and public policy. On qualification side. I have GRE score 169/155/3.0 (Q, V, AW) Apart from this I have 1 paper under review for international journal, 1 Book chapter under preparation, 2 papers accepted for an international conference and 2 papers presented for international conference. Have strong recommenders. Most of research work is around policy impact analysis. It will be great if anyone can help me with following things.... 1) Shall I repeat GRE with more preparation or the score is good enough? How important is AW score?? 2) Where can I get help for good SOP? 3) Good University/Departments for PhD in developmental economics or public policy analysis that I shall consider 4) Is my profile considerable for top 10 US universities or shall I downgrade my choices?? I would appreciate any help in this regards... Thanks again
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