[Between master in stats or OR]

also is bayesian, glm, sampling and R, game breaking? cause those 4 are the reasons i dont jump in or.

[Between master in stats or OR]

thanks, more opinions?

[Between master in stats or OR]

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.?