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:
 Statistical Methods and Models
 Modeling, Simulation and Computing
 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.
