ronal Posted September 3, 2015 Share Posted September 3, 2015 Hello, i would like some opinions while i am making a decision. I am a finance major soon to graduate and i am thinking of a master in statistics degree. I want to improve my (nonexistent) analytical methods, and add more tools to my hand rather then 1-2 regression classes i have taken. The program i am considering has 2 routes, can you share me your opinion? common courses probability statistic inference linear model time series operation research 0 multivariate analysis financial math numerical method in finance operation research I route 1 R/spss programming general linear model sampling methods biostats bayesian categorical analysis quality control route 2 financial math II risk management operation research integer programming >> dynamic programming queuing theory inventory theory logistic My concerns are, i am familiar with the idea of financial math, i just need to know the analytical methods to perform what i know in theory. So the problem is, while route 2 is in the sector i am interested, i feel like i am missing too much, by route 1 (like bayesian, glm , sampling and ofc R) while the finance part I) i know many things cause of my first degree II) both routes have some courses in that.Which is more complete program?Which route can i self study if i know the other.? Link to comment Share on other sites More sharing options...
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