Master of Computational Finance

Master of Computational Finance

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The curriculum builds quantitative skills, and simultaneously develops the underlying finance theory. The quantitative component draws on ] The theory component usually includes a formal study of [6]. The components are then integrated, addressing the List of finance topics: Financial mathematics.

The title of the degree will depend on emphasis [14]).

The program is usually one to one and a half years in duration, and may additionally include a Measure theory.

Comparison with other qualifications

The program differs from that of a Master of Science in Finance (MSF), and an MBA in finance, in that these degrees aim to produce finance generalists as opposed to "quants", and therefore focus on corporate finance, accounting, equity valuation and portfolio management. The treatment of any common topics - usually "derivatives", financial modeling, and risk management - will be less (or even non) technical. Entrance requirements are similarly less mathematical. Note that Master of Finance (M.Fin.) and MSc. in Finance degrees, as distinct from the MSF, may be substantially similar to the MQF.

There is some overlap with degrees in [20].

There is similarly overlap with a Master of Financial Economics, although the emphasis is very different. That degree focuses on the underlying economics, and on developing and testing theoretical models, and aims to prepare graduates for research based roles and for doctoral study. The curriculum therefore emphasises coverage of financial theory, and of econometrics, while the treatment of model implementation (through mathematical modeling and programming), while important, is secondary. Entrance requirements are similarly less mathematical. Some Financial Economics degrees are substantially quantitative, and are largely akin to the MQF.

For students whose interests in finance are commercial rather than academic, a Masters in Quantitative Finance may be seen as an alternative to a PhD in finance. At the same time though, “Masters in Mathematical Finance” programs are often positioned as providing a basis for doctoral study.


The first quantitative finance masters programs were offered by James Madison [31], [33]

See also

External links and references

  • International Association of Financial Engineers
  • Emanuel Derman
  • Guide To Studying The Field, International Association of Financial Engineers
  • The Top 10 Things Practitioners Really Want from Financial Engineers, Quant Network
  • Aaron C. Brown
  • Mark S. Joshi
  • NYU Stern
  • University of Reading
  • Interview and Resume Tips, International Association of Financial Engineers
  • Michael Page International

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