Hi,
I am starting my applied statistics graduate program this fall and am debating between two classes to round out my course load.
STA 5106. Computational Methods in Statistics I (3). Prerequisites: At least one previous course in statistics above STA 1013; some previous programming experience; or permission of the instructor. Matlab and a programming language (C/Fortran) will be used. Floating point arithmetic, numerical matrix analysis, multiple regression analysis, nonlinear optimization, root finding, numerical integration, Monte Carlo sampling.
STA 5507. Applied Nonparametric Statistics (3). Prerequisite: A course in statistics above STA 1013 or consent of instructor. Applications of nonparametric tests, estimates, confidence intervals, multiple comparison procedures, multivariate nonparametric methods, and nonparametric methods for censored data.
As an undergrad, I took a class on financial modeling that dealt with some hands on applications of Monte Carlo sampling and also some advanced linear algebra which will set me up nicely for the first class.
However, the second class seems to have a bit more utility, generally speaking.
Ultimately, my goal is to land a job in finance/banking.
I am interested in any feedback from anyone who is familiar with either of these class topics.
Thanks a lot.
I am starting my applied statistics graduate program this fall and am debating between two classes to round out my course load.
STA 5106. Computational Methods in Statistics I (3). Prerequisites: At least one previous course in statistics above STA 1013; some previous programming experience; or permission of the instructor. Matlab and a programming language (C/Fortran) will be used. Floating point arithmetic, numerical matrix analysis, multiple regression analysis, nonlinear optimization, root finding, numerical integration, Monte Carlo sampling.
STA 5507. Applied Nonparametric Statistics (3). Prerequisite: A course in statistics above STA 1013 or consent of instructor. Applications of nonparametric tests, estimates, confidence intervals, multiple comparison procedures, multivariate nonparametric methods, and nonparametric methods for censored data.
As an undergrad, I took a class on financial modeling that dealt with some hands on applications of Monte Carlo sampling and also some advanced linear algebra which will set me up nicely for the first class.
However, the second class seems to have a bit more utility, generally speaking.
Ultimately, my goal is to land a job in finance/banking.
I am interested in any feedback from anyone who is familiar with either of these class topics.
Thanks a lot.
