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Required Courses
  Course Descriptions
Elective Courses
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Required Courses

In partial fulfillment of the Master of Science degree in Financial Mathematics, students must fulfill six required courses, with two from each of the following three core areas:

  1. Statistical Methods and Models
  2. Modeling, Simulation and Computing
  3. Finance

The selection of these courses is to be done in consultation with the Program Director.  The following courses can be counted toward the six required courses:

FINANCE 622 Dynamic Asset Pricing Theory (A)

MATH 236 Introduction to Stochastic Differential Equations (W)

MATH 238 (same as STATS 250) Mathematical Finance (W)

MATH 239 Computation and Simulation in Finance

MATH 240 Topics in Financial Mathematics: Fixed Income Models

MS&E 347 Credit Risk: Modeling and Management (W)

STATS 240 Statistical Methods in Finance (A)

STATS 241 Econometric Modeling Methodology and Applications to Financial Markets

STATS 242 Algorithmic Trading and Quantitative Strategies (Smr)

STATS 243 Financial Models and Statistical Methods in Risk Management (W)

STATS 315A Modern Applied Statistics: Learning (W)

STATS 315B Modern Applied Statistics: Data Mining (Spr)

STATS 362 Monte Carlo (Spr)

The course descriptions for the prerequisite and elective courses can be found in the Stanford Bulletin.

At the Program Director's discretion, courses taken previously that are equivalent to the above may be waived; in which case they must be replaced by elective courses in the same subject area.