ND2troll

Thanks! I think I'll probably drop a couple schools from the lower end and add a couple for reach schools.

Student Type: Domestic Undergrad: Liberal Arts College (ranked around 40 among liberal arts if that matters). Graduated 2020 May. Major: Computer Science Minor: Economics GPA: 3.63 (Major 4.0) Math Coursework: AP Stats, Calc II (B+), Discrete Mathematics (A-), Multivariable Calculus (B+), Linear Algebra (B+), Operations Research (A) CS & Econ Coursework: Data Structures (A), Algorithms Analysis (A), Computer Organization (A), Databases (A), Special Topics in CS [manifold learning] (A) , Microeconomics (A), Macroeconomics (A-), Applied Econometrics (B+), Game Theory (A-) GRE: Have not taken yet. From practice exam I took without studying, Q 167 V 155. Hoping to hit Q 170 V 160+ after studying. Expecting 4 or 4.5 for writing. Research: Nothing meaningful unless you count my Econometrics research paper. I also have a Senior project, which dealt with testing Efficient Market Hypothesis by feeding daily stock returns into LSTM model, that I thought was quite lacking from quantitative/modelling perspective. Work Experience: Risk and Compliance summer intern at a fintech company. It was essentially a data analyst/BI engineer work (SQL and data visualization). I had to quit halfway and take a semester off due to health issues. Letters of Recommendation: I haven't asked, but my plan is: one from my Econometrics professor, which I expect to be decent since she first offered me to write one based on my paper and mentioned that I would do well in grad school. One from my CS advisor who oversaw my Senior Project. One from a Math professor that I took Multivariable Calculus and Linear Algebra with. Unfortunately, I don't know any of them very well so my LORs are probably going to be a weak part of my application. Applications: Reach - Berkeley, U Chicago, Cornell / Upper end - UM Ann Arbor, UW Madison / Target - Texas A&M, Iowa State, UC Davis, University of Pittsburgh Cornell and Pittsburgh are for Applied Stats and UM-AA is for data science. Also plan to pursue Statistics: Data Science for applicable programs. I have a hard time gauging how competitive my application is. I do have a major in quantitative field, a good major GPA, and expecting a high Q in the GRE, but my math/stats coursework and grades are rather weak. The fact that I haven't cultivated much relationships with professors and that I don't really have anything special to boost my app don't seem to help. Do I have a good idea of where I fall or am I overshooting? I am planning on applying to Georgia Tech OMSA program as my safety, but I am hoping to get into at least one program from my list.

Most programs only have Calc I-III and Linear Algebra as hard prerequisites. However, UC Riverside, UCSB, and UCI expect you to have majored in Statistics or Math, or to have calculus-based probability and statistics as well. It makes sense that they expect you to take those classes for a letter grade from a college/university. For now I think I am leaning towards not applying to those programs that have probability and statistics as hard requirements since I already have about 5 schools that I can and plan to apply. I'll just have to find a few more that fits me well. It is great to hear that I would have a decent shot at most Statistics MS programs, as I was a bit worried about not having taken probability and my last statistics class being AP Stats. I think that I'll start taking the MOOC as soon as I am done with the application process so that I can handle Stats at the Master's level. Thank you very much for your response! : )

Hello everyone! I am looking to apply for mostly Applied Statistics or Statistics with data science concentration. My bachelor's is in Computer Science and I have a minor in Economics, but my math background isn't very strong. I have taken Calc I, II, and III, Discrete Mathematics, Linear Algebra, and Operations Research in college, but my last Statistics course was AP Stats from sophomore of high school. It seems like I can still apply to some programs, but a lot of desirable programs seem to have at least one year of probability and statistics as prerequisites. In order to bring my chances up and to be able to apply to the programs I want, I have been thinking that I should take online courses to fulfill the prerequisites. My main question is which online courses are deemed to be "legit" enough for grad schools' prereq? Do I need to take them from actual colleges as they would be accredited and definitely be recognized as fulfilling prerequisites? Some of the courses on Edx seem pretty good to me (I am considering the 4 probability and statistics courses by GTx), but I was not sure if they would count even if I pay for the verified certificates. Another question I have is whether it would still feasible to apply to programs that are firm on their Stats prerequisites when I don't have them on my official transcript? I will most likely be taking probability when I am applying and will be taking statistics in the spring, so I should have them fulfilled by the time I start my Master's. In that case, how should I emphasize that I am working to fill my gaps? I could try and cram online classes so that I would have probability done and enrolled in statistics by the time of I am submitting applications, but I don't want to spread myself too thin as I am still preparing for the GRE. I think I would take probability and stats before starting a Master's program regardless to better prepare myself, but I just wanted to know what would be the best way to do it to make my application stronger.