I attended CMU’s MSCF program from August 2011-December 2012 full time. I joined immediately after graduating from Undergrad, where I studied Economics, Math, and Operations Research. Upon graduating this December, I was able to join the research team in risk of a BB bank. In a nutshell, I would describe this program as the most challenging and most rewarding academic endeavor of my life to this point, and would recommend it to anyone with a passion for learning more about the computational side of finance.
The program covers a wide array of topics, and the key word here is wide. You will not be an expert in a specific product type by the time you leave this program; neither will you be a financial mathematics wizard, nor a star algorithmic trading developer. However, and most importantly, you will have been exposed to (and will most likely have a good understanding of) virtually every facet of the quantitative finance field. If you attend MSCF, you will study all the important models that lay the groundwork for pricing frameworks in banks everywhere. You will earn a great amount of practical experience, whether working with data statistically or calibrating models. You will use C++, R, Matlab, and several other programs/languages, to accomplish these tasks. You will meet key people in the industry, either through the program's extensive networking events, or through the weekly speaker series. On a daily basis you will interact with some brilliant classmates and professors - and you will find that your classmates are a valuable resource in surviving this program and learning as much as you can. Lastly, you *will* work hard. This program requires a large time commitment and dedication, and exhibits little tolerance for slacking or laziness. Homeworks are long, exams are tough, and professors are demanding. But in the end, you will get a great job, learn a ton, and I guarantee you will not regret your decision to join the program.