MBA and M Fin are structurally different. They will lead you to different places. They require different skill sets and above all interest. Normally students try to choose MFE or MiM because of lesser amount of work ex required. There are two ways
a.)Get a Job in Finance in something closer to your interest and pursue MBA few years later.
b.)Get a MFE from Top 5 places right now and graduate when the market is better hopefully.
MFIN is good for people who want to switch to finance but dont have much work ex for an MBA. master of quantitative finance is all about math...masters in financial computing is focussed on the IT part. the flip side is, mfin wont give you a managerial job. It's a technical job...you`ll probably become an analyst or a number cruncher or an accounting guy...but not a finance manager or a CFO with an MFIN. mfin is quite a bookish course...you can actually pick up a book and learn everything on your own, there isn`t a huge value-add from the university's side as compared to an mba, where the university's approach forms the core of the MBA course.
A very good difference given on Princeton's website as a guide to recruiters
Princeton's MFin Program vs. MBA Programs
Unlike an MBA program which focuses on a general business education and will include courses on strategy, management and marketing in addition to finance, our program teaches only finance. This allows us to do so at a much deeper level contrasted with an MBA and enables us to incorporate all the interdisciplinary aspects of modern finance, such as financial mathematics, financial econometrics, computational finance, behavioral finance and corporate finance. Our courses are more quantitative than a typical MBA course and some may find them more demanding. The MBA is still the degree of choice for the corporate finance divisions and mergers and acquisitions areas of the modern investment bank, but the MFin degree is becoming the preferred degree in the trading and asset management areas of the I-bank. These would be areas such as quantitative asset management, risk management, derivatives pricing and trading, fixed income analytics and other areas where the pricing and analysis of complex securities require significant quantitative input. Also, the world of finance is broader than the traditional investment banking business, with opportunities in insurance, commercial banking, commodities and energy trading and risk management for traditional industrial companies, to mention just a few areas where our MFin program is becoming well known due to the quality of the students and the learning experience provided by Princeton's MFin program.
Princeton's MFin vs. mathematical or computational finance Master programs
Unlike mathematical or computational finance Master programs, we teach all of finance. This means, for instance, that we teach accounting, corporate finance, behavioral finance, etc., in addition to stochastic calculus, derivatives pricing, financial engineering, etc. We believe that our broad multidisciplinary approach to finance is an important advantage of our program, and that our placement record reflects it.
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