For more information, please contact:
E-mail: CompFin@cse.ogi.edu Betty Shannon http://www.cse.ogi.edu/CompFin/
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COMPUTATIONAL FINANCE at the Oregon Graduate Institute of Science & Technology (OGI)
An Intensive 12-Month Concentration in the MS Programs of Computer Science & Engineering (CSE) Electrical Engineering (EE)
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Program Overview:
Today's technology has increased the level of technical proficiency required in the financial markets. At one time, for example, spreadsheet skills, pre-calculus, and a basic understanding of financial instruments were sufficient to build practical asset and derivative pricing tools. Today, however, leading-edge financial institutions routinely use advanced analytical and numerical techniques from engineering and computer science to create, price, and manage risk for both new and established instruments.
Advances in computing technology now enable the widespread use of sophisticated, computationally-intensive analysis techniques, the real-time analysis of tick-by-tick financial market data, and the real-time management of portfolios of hundreds or thousands of securities. Furthermore, modern data analysis tools can consider many variables simultaneously and can capture complicated and often nonlinear inter-dependencies between variables. This has opened up new modeling possibilities for portfolio management, asset allocation, hedging, derivatives instruments, and decision making.
The strong demand within the financial industry for technically-sophisticated graduates who are well versed in state-of-the-art quantitative analysis and computing techniques is addressed at OGI by an intensive 12 month Computational Finance program. Unlike a standard two year MBA, the program is directed at training scientists, engineers, and technically-oriented financial professionals.
The program is offered as a concentration in both the Computer Science and Engineering (CSE), and Electrical Engineering (EE) departments. The program leads to a Master of Science degree in Computer Science and Engineering (CSE track), or in Electrical Engineering (EE track). Computational Finance courses are also cross-listed in the Management of Science & Technology (MST) program.
The Computational Finance concentrations feature a unique combination of courses that provide a solid foundation in finance at a non-trivial, quantitative level, plus training in the essential core knowledge and skill sets of computer science or the information technology subdiscipline of electrical engineering. These skills are essential for advanced analysis of markets and for the development of state-of-the-art investment analysis, trading, derivatives pricing, and risk management systems.
The MS in CSE is ideal preparation for students interested in securing positions in information systems in the financial industry, while the MS in EE provides rigorous training for students interested in pursuing careers as quantitative analysts at leading-edge financial firms.
The curriculum is strongly project-oriented, using state-of-the-art computing facilities and live/historical data from the world's major financial markets provided by Dow Jones Telerate. Students are trained in using high level numerical and analytical packages, such as MATLAB, Mathematica, and SPlus, for analyzing and modeling financial data.
OGI has established itself as a leading institution in research and education in Computational Finance. Moreover, OGI has very strong research programs in a number of areas that are highly relevant for work in quantitative analysis and information systems in the financial industry. These areas include signal processing, neural networks and adaptive systems, machine learning, information theory and coding, nonlinear dynamics, stochastic processes, software engineering, object-oriented programming, database systems, transaction processing, human-computer interaction, and spoken language understanding..
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Applications for entrance into the Computational Finance MS programs for Fall Quarter 1996 (which begins on Monday, September 23) are currently being considered as they are received. Enrollment in the program is limited.
Admission requirements are the same as the general require- ments of the institution. GRE scores are required for the 12-month concentration in Computational Finance, although they can be waived under certain circumstances.
A candidate must hold a bachelor's degree in computer sci- ence, engineering, mathematics, statistics, one of the bio- logical or physical sciences, finance, econometrics, or one of the quantitative social sciences. Candidates who hold advanced degrees in these fields or who have experience in the financial industry are also encouraged to apply.
---------------------------------------------------------------------- Contact Information ----------------------------------------------------------------------
For more information, contact
Program Information Admission Information E-mail: CompFin@cse.ogi.edu Betty Shannon, Academic WWW: Coordinator http://www.cse.ogi.edu/CompFin/ Computer Science and Engineering Department Oregon Graduate Institute of Science and Technology P.O.Box 91000 Portland, OR 97291-1000
E-mail: academic@cse.ogi.edu Phone: (503) 690-1255
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