Curriculum in Computational Finance
The program in computational finance is designed to be completed in approximately 10 months of full-time study, consisting of a fall and spring semester of courses and seminars followed by a capstone project in the summer, totaling 30.5 credits.
Students must obtain a B or higher in all courses. The standard curriculum is listed below. Course descriptions can be found here.
Students with career goals that require training in other subjects can substitute appropriate graduate courses for some of these classes.
|ACMS 60901. Mathematical Finance I||3|
|ACMS 60921. Financial Computing||3|
|ACMS 60850. Applied Probability||3|
|ACMS 60690. Numerical Analysis I||3|
|ACMS 60902. Mathematical Finance II||3|
|ACMS 60932. Statistical Inference for Finance||3|
Two 3-credit approved electives.
Recommended electives include:
ACMS 60790. Numerical Analysis II
ACMS 60882. Linear Statistical Models
ACMS 60842. Time Series Analysis
ACMS 60212. Advanced Scientific Computing
ACMS 60862. Data Mining
Summer Semester (5/24-6/24)
|REQUIRED TOTAL CREDITS||30.5|