nuni

Application evaluation, help is needed.

Hello guys I want to apply to MSc/PhD in Stats/Machine Learning. I want to have wide exposure to data mining, analytics, big data. My profile is: 1.Bachelor in Mathematics with Concentration in Statistics, GPA: 3.94 2. GRE quant: 168, verbal: 148, AWA: 3. 3. Lots of competitions won: International Mathematics Competition 3rd place, National Mathematics Olympiad 3rd place 4. BY the end of bachelor degree will complete around 150 credits, it is like 5 years of study. 5. Working as Data analyst at retail company, part-time 6. Limited exposure to research(now doing research with Professor on stochastic data analysis) 7. Some advanced courses: Regression, Desing of experiments, Time series, Nonparametric, Intro/Intermediate/Advanced R, SAS, Real Analysis, Measure Theory, Complex analysis, PDE, Numerical Methods, Linear/Nonlinear Optimization, Stochastic Processes. 8. Courses also include other programming languages as C and Java. Also have taken Economics courses. 9. Was visiting student at the University of Wisconsin Madison, studied Intro/Intermediate/Advanced R there 10. Participated in ACM 1/4 final Applying to: 1. UWashington - PhD in Statistics 2. UChicago - PhD in Statistics 3. MIT - PhD in OR 4. UNC Chapel Hill - PhD in STOR 5. UMichigan - PhD in Stats 6. Northwestern - PhD in Indus. Eng and Management 7. CMU - PhD in Machine Learning 8. UToronto - MSc in Statistics 9.Berkeley - PhD in Statistics Will have LOR from professor who was in UWashington, now in our dep. After the degree want to end up in the industry, some tech company or consulting. What do you think? What can you recommend? What do you think about my chances? THANK YOU in ADVANCE.

Other thoughts?

As of programming competitions I participated in ACM ICPC national stage and our team ranked 22nd. It was my first competition in computer science.

Thanks fluffyj. Yes, I am an international applicant. The reason of applying to MSc degree is that I am planning to work in industry and MSc degree is the shortest path for me.

Hello guys I want to apply to MSc/PhD in Stats/Machine Learning. I want to have wide exposure to data mining, analytics, big data. My profile is: 1.Bachelor in Mathematics with Concentration in Statistics, GPA: 3.94 2. GRE quant: 168, verbal: 148, AWA: 3. 3. Lots of competitions won: International Mathematics Competition 3rd place, National Mathematics Olympiad 3rd place 4. BY the end of bachelor degree will complete around 150 credits, it is like 5 years of study. 5. Working as Data analyst at retail company, part-time 6. Limited exposure to research(now doing research with Professor on stochastic data analysis) 7. Some advanced courses: Regression, Desing of experiments, Time series, Nonparametric, Intro/Intermediate/Advanced R, SAS, Real Analysis, Measure Theory, Complex analysis, PDE, Numerical Methods, Linear/Nonlinear Optimization, Stochastic Processes. 8. Courses also include other programming languages as C and Java. Also have taken Economics courses. 9. Was visiting student at the University of Wisconsin Madison, studied Intro/Intermediate/Advanced R there Applying to: 1. UWashington - PhD in Statistics 2. UChicago - PhD in Statistics 3. MIT - PhD in OR 4. UNC Chapel Hill - PhD in STOR 5. UMichigan - PhD in Stats 6. Northwestern - PhD in Indus. Eng and Management 7. CMU - PhD in Machine Learning 8. UToronto - MSc in Statistics Will have LOR from professor who was in UWashington, now in our dep. After the degree want to end up in the industry, some tech company or consulting. What do you think? What can you recommend? What do you think about my chances? THANK YOU in ADVANCE.