For more information, please contact:
E-mail: CompFin(a)cse.ogi.edu Betty Shannon
http://www.cse.ogi.edu/CompFin/
=====================================================================
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)
=====================================================================
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..
-------------------------------------------------------------------
Admission Requirements
-------------------------------------------------------------------
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(a)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(a)cse.ogi.edu
Phone: (503) 690-1255
======================================================================
=========================================================================