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kevy

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  • Application Season
    2013 Fall
  • Program
    Quantitative Psychology

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  1. Before we start, a little about me: Goals: After getting my master's, I want to work for a couple of years to build experience and to pay off some loans. My end goals is to get a phd in quantitative psychology and become a professor. What I am interested in: I am interested in data science but I also want to learn more about the statistical side of it. Right now, I am stuck between choosing relevance (Columbia's QMSS program) and practicality (CMU and Cornell). While it may seem clear to just pick Columbia, I am actually a little worried about the quality of the curriculum. For some reason, it just seems.... not as complete for the data science track. I am also a little scared about building a foundation from only the social sciences point of view. On the other hand, CMU's MSP seems like a better fit for the short run and CMU is pretty well-known for machine learning. However, the main focus for CMU's MSP program is applied stats. But after speaking with CMU's director, it seems like they will tailor the program to fit the interest of the student. On the other hand, Cornell's MSP program has a data science focus. There doesn't seem to be much information about CMU's MSP or Columbia's QMSS. Any insight would be greatly appreciated. I guess in the end, I just want a program that will strenghten my statistical background while focusing on data science/machine learning. It would be a plus if that program can also prepare me for either a career in the private industry or in academia.
  2. In another words, is CMU's MSP reputable in terms of the quality of the education? According to its website, the MSP does not have a thesis requirement or a qualifying exam. All the schools I looked at so far seems to have some final "test" but why not CMU? I also tried looking for more information regarding the MSP program but found nothing. I find that to be very odd since CMU seems to have a decent statistics department. Can anyone lend me some insight into this CMU's masters program?
  3. Hi GradCafe, I am a recent graduate and finally decided to pursue a masters in statistics for two reasons that everyone else probably has: 1) To learn more,and 2) To get a job. The problem is that I don't even know how to begin researching this topic aside from awkwardly phrased Google searches. After searching for applied statistics program, I was completely overwhelmed by the different types of programs. Some are geared towards business, others are categorized as a vague "data analytic". I also noticed some programs that focuses solely on big data/machine learning. I am actually very interested in this topic because of a multivariate analysis class I have taken before(it covered a small part of machine learning only because we went beyond the curriculum). Yet, I feel that I am under-qualified due to not having a CS background aside from the statistical programs and 1 or 2 languages I learned from previous required classes. So I ask of you guys, so given my profile below what are some schools/programs I should look into? Since I could always just look up ranked schools, what would be some safety schools that you would suggest for me? What are some universities with a diverse statistics department, since I feel like I should explore a bit) School: University of California, Davis 3.66/4.00 Major: Applied Statistics/ Psychology (Note: Just took the GRE again, and so these are the projected scores I got at the end of the test...Hopefully not too much changes) GRE: Q: 164 V: 157 W:???Maybe 4.0? I got a 4.0 last time? (Note: I know my math is a bit lacking hence why I am looking into more practical rather than theoretical programs. Though, I did picked up some mathematical concepts along the way. ) Courses Taken: Multivariate Data Analysis Causual Model Correlation Data SAS Programming Introduction to Probability Theory Introduction to Mathematical Statistics Applied Time Series Analysis Introduction To Programming and Problem Solving ( Where I learned C) Analysis of Categorical Data Linear Algebra Analysis of Variance Statistical Programming Statistical Analysis of Psychological Data Regression Analysis Agent-Based Modeling(Where I learned Java) Research: It's my weakest point... No published works. I do have experience in research for multiple fields, due to my psychology background. Nothing really statistically relevant except for side projects. Letters of Recs: Again, none of these really relevant to statistics. BUT these people are definitely credible in their own fields. They were past professors I had worked with. Much thanks for getting through this wall of text if you do. I am just really scared right now after taking the GRE and comparing my profile to the gradcafe's accepted candidates for Fall 2013. Everyone here seems to have like a way higher GPA and a way higher GRE score with published works.
  4. I don't know about you but I think I am through playing this waiting game. Looks like UNC and Vandy's interview dates are approaching and so I doubt they are still handing out invites. Time to cut the losses or hang on to some hope?
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