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Master of Science

Computational Finance

  

Overview

This program addresses a need in the financial industry for people with exceptional programming skills who also can efficiently and effectively communicate financial concepts using adequate business language. The program offers a unique emphasis on numerical algorithms and analytical techniques applied specifically risk an​alysis, time series analysis, and derivative pricing. This program combines up to ten courses in from the School of Computing with seven courses from the School of Business. Students learn how to implement financial concepts into computer programs, model data, simulate financial systems, price different kinds of derivative securities, and how to build a trading engine.

 

Admission Process

The Graduate Admission process involves completing an online application, sending in your transcripts, and any additional information, e.g. letters of recommendation, certifications, etc.

Please visit our Graduate Admissions page for more information.

Faculty Perspectives

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