Econometrics background perception in Statistics department

[amillion]

Good day everyone,

 

I'm going to graduate in economics next semester. I'm mostly interested in econometrics (time-series, financial econometrics) as well as some fields in statistics (factor analysis, machine learning, etc). With a strong background in economics (3 graduate classes in econometric theory + the regular honor theory classes) as well as a pretty strong overall profile (RA'd at my central bank, nearly 4.0 GPA) and a minimal background in pure math (cal 1-3, linear algebra, mathematical statistics), I was wondering if I had an appropriate profile for MS and/or PHDs in statistics. I had in mind programs like:

 

Cornell MS/PHd

Princeton/Stanford/Berkley/Yale/Columbia/Harvard MS

Toronto/Ubc/McGill Msc

 

I'm a Canadian citizen and funding would be an issue (MS are one year so I guess I could get loans if the program is worth it). Your opinion is highly appreciated. If you could also tell me what range should I be aiming for US Ms / Phd.

 

[cyberwulf]

If you're a top 5 canadian school, I think you would stand a decent chance of admission into PhD programs ranked outside the top 10, possibly even in the 5-10 range. Think Carnegie Mellon, NC State, Washington at the top end and Purdue, Michigan, Cornell, Penn State, etc. as decent bets.