<p>Hello,</p>
<p>I'm now an undergrad majoring in applied maths. I think I'd be interested in going to grad school in the following areas: operations research, supply chain management, financial engineering. Maybe applied maths (to specialise in probability or statistics).</p>
<p>I'm targeting good graduate programs. However there's a LOT of programs out there (most major US schools have at least 1 program in operations research, like MS or MSc+PhD). So how do I rank them ?</p>
<p>About my profile: by the time of graduation I'll have a scientific background (proba & stats, some stochastic analysis, some PDE's, some measure theory) and little in finance (maybe 1 course introducing quantitative finance and 1 more general). I will have had some research experience (2-3 papers but not necessarily in those fields). I'm international, good GPA from good US school.</p>
<p>I'd like not to do something too mathy like if I applied in applied maths (where there's very few places in addition). But I'd appreciate it if I used some non-trivial applied maths techniques.</p>
<p>Here's a list of some departments I'd like to hear about:
Berkely, MIT, Stanford, Columbia - Operations research
Georgia Tech has a sort of dual degree in logistics.
Stanford - Statistics
etc</p>
<p>And also all those financial engineering masters - I like the fact that it can be very quantitative but I am aware that the admissions is so tough and I don't know if it corresponds to my no-industry experience profile.</p>
<p>I am aware that the MS are usually less selective except in financial engineering (no financial aid) than MSc-PhD tracks. But I'm not sure whether they are worth it...</p>