Matt W

I disagree with toypajme. I don't know the indian system well, but I do know that the grading isn't entirely comparable to the american system (its much easier to get high gpas in the american system). You have a lot of heavy duty courses underneath your belt and I think that a lot of the places you are applying to are reasonable. That said, you may also want to include some lower ranked schools as well since most of the schools you listed are quite difficult to get into.

I can confirm that Waterloo has the results. My supervisor dropped by my office yesterday morning to let me know.

Which other math courses have you taken and how did you perform?

How competitive you will be is going to depend on the university you attended and the advanced math/stats courses you have taken. Without this information, it will be hard for anyone to give you an accurate idea of your chances. I am assuming that you are a domestic student?

Waterloo (pure math and C&O depts) and Toronto offer solid one year programs.

You should be honest in your application about what you want to study. All I knew when I applied was that I wanted to study analysis, so I wrote that. You probably have atleast as clear of an idea as this. If you are able to be more specific then, by all means, do so.

What are your math courses, textbooks used and grades?

If you have completed a MSc in stats, then you should have a general idea as to which research area you would like to go into. Go with the department which better fits your research interests.

Graduate programs want to get the best students whether the applications are submitted on time or not. I recommend contacting any department where you are thinking of applying and asking about how a late application would be treated. I suspect you will receive a positive respone. I submitted a late application to the University of Oregon around February 1st last year and received an admit less than two weeks after.

I can't comment on the Automata, etc. course. Elementary number theory courses, like the one you described, are usually intended for weaker students. If you've taken abstract algebra then this course would be a waste of time and won't improve your application. If not, then you may want to take it for further breadth. Depending on what you've seen before and which area of stats you want to go into, the topology course may prove useful. Metric spaces (an important type of topological space) will be useful if you're going for a more theoretical route. Metric spaces with Borel probability measures are an important class of probability spaces. If you haven't had much exposure to metric spaces before, then I would recommend that you take this course. Otherwise, this course would still look good for demonstrating mathematical ability. The optimization course could be useful if you end up working in industry.

Four days a week for me but I'm still out there every weekday.

Use google to find schools in the area which offer graduate programs in math, applied math, or statistics. Note the programs for which you have overlapping research interests. Look at the typical course offerings. Decide on which schools to apply to.

Does anyone else think that this topic is basically just the OP trolling?

Basic arithmetic gives: b1=b1x+(b1+1)y+(b1+1)z b2=(b2+1)x+b2y+(b2+1)z b3=(b3+1)x+(b3+1)y+b3z (when x+y+z!=1) This is a simple system of linear equations to solve.

Hi Hanyuye, A few people have mentioned this, but I wanted to stress it again: the US is not the same as Canada. Masters degrees are usually seen as remedial degrees or for people changing fields in the US, and are generally unfunded. This is not the case in Canada. Schools won't admit you into a PhD program without a masters degree in Canada, and masters degrees are fully funded. Being accepted to a masters degree program in Canada is as difficult as being admitted to a PhD program in the US. Also, you don't need Calculus for linear algebra. They just stick it as a requirement to ensure mathematical maturity. Differential equations and vector analysis probably aren't too important for statistics. If possible, I would recommend taking some of mathematical statistics, probability theory, or real analysis instead. Good Luck, Matt