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In academic affiliation with Carnegie Mellon University
Institute of Algorithmic Tradingand Applied Computational Finance

One of the Institute's two study paths

The researcher path

How to become a quantitative analyst or researcher who derives models. For graduate students and practitioners: derivations, estimation theory and the literature, ending in a supervised written dissertation.

The path, stage by stage

  1. Start with an Open course

    Free, two to three hours. Introduction to Quantitative Finance and Monte Carlo Simulation are the natural starts.

  2. Complete the Foundation mathematics

    Probability, statistics and Mathematics for Quantitative Finance. The researcher courses build on these, and each course page lists exactly which ones it requires.

  3. Take Researcher courses

    Stochastic calculus, stochastic differential equations, volatility and regime models, and the researcher courses in each specialty. Each ends in a written, paper-style assessment.

  4. Write the Fellowship dissertation

    The Fellowship in Computational Finance ends in a 120-hour supervised dissertation on a question you propose.

The researcher path is for people whose job is to find out whether a model is right. It treats each method through its derivation and assumptions, asks you to estimate models on data and to state their limits, and assesses you in writing. It suits quantitative researchers, students preparing for graduate study, and practitioners who want to read the research literature without guessing. It is the route for anyone asking how to become a quantitative analyst who derives models rather than only running them.

Credentials on this path

Questions applicants ask

Is the Fellowship a degree?

No. It is an unaccredited Institute credential. It certifies that you passed the listed courses and a supervised dissertation; it is not a master’s degree or doctorate.

What mathematics do I need to start?

Single and multivariable calculus and linear algebra at undergraduate level. Mathematics for Quantitative Finance reviews both with financial examples.