FCBA

 

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Master of Science in Quantitative Finance

 

Program Overview

The Master of Science in Quantitative Finance (MSQF) prepares students to meet professional finance challenges in public, private, and not-for-profit organizations. Today's financial models and approaches are mathematically sophisticated, complex and exotic as a result of the dynamics of the theory and practice in the field. The MSQF program gives you the financial models, mathematics, and computer science preparation for these new and emerging financial models. The program is interdisciplinary and is designed for students with very strong quantitative backgrounds who have objectives of understanding, modeling, and determining solutions to complex financial problems such as uncertainty (risk) management and derivatives. The program is rigorous and requires completion of 30 credit hours of coursework. It combines strong quantitative skills such as calculus, probability theory and numerical methods, computer science such as algorithms, neural networks and computation with uncertainty measurement and management, as well as dynamic valuation and pricing from finance. The program emphasizes applied skills while providing sufficient theoretical background. The program is open to full- and part-time students.

Program Requirements

The MSQF program consists of 30 credit hours for students with appropriate mathematical and finance undergraduate backgrounds. Of these hours, 15 credit hours consist of specified preparatory courses in mathematics and computer science. The remaining 15 creidt hours consist of financial modeling using these preparatory courses. Students will be expected to develop their expertise in solving and developing complex financial models by drawing upon and integrating their financial, mathematical, and computer science knowledge.

Courses

The Master of Science in Quantitative Finance program is 30 credit hours at the 500 or 600 level as outlined below:

Course Number Course Name
FIN 633 Quantitative Methods in Finance
FIN 636 Fixed Income
FIN 637 Advanced Financial Derivatives
FIN 639 Uncertainty Analysis and Measurement
FIN 649 Quantitative Finance Capstone
MTH 510 Numerical Methods I
MTH 511 Numerical Methods II
MTH 514 Partial Differential Equations
CS 514 Algorithms
CIS 588 Expert Systems

 

More Information

For more information, visit the Graduate Catalog (PDF) or contact:

Dr. Philip Horvath
Program Coordinator and Department Chair
309-677-2313
hap@bradley.edu

For application instructions, visit the Graduate School website.