
Mission Statement
The needs of the modern finance, risk, and insurance industries demand
a broad interdisciplinary and computationally oriented approach to educating
the next generation of financial researchers, analysts, risk managers,
and financial information technology professionals. The Computational
Finance program addresses these needs by leveraging faculty expertise
in a number of departments to integrate education and research across
the following key areas: (a) finance concepts and theory; (b) mathematics,
statistics and econometric modeling and analysis methods needed to model,
analyze and predict the behavior of financial assets; and (c) computer
science and information systems tools needed to implement modeling and
analysis methods in finance industry organizations. The participating
departments are: Economics, Finance, Mathematics, and Statistics.
Announcements
- Autumn Quarter 2007 Course Offerings:
- Stat 547: Derivatives
- Stat 535: Statistical Computing
- Application for admission to the Computational Finance Graduate Certificate (CFGC) program for Matriculated students
- Application for admission to Computational Finance courses for non-matriculated students.
