The vast complexity of financial markets compels industry to look for experts who not only understand how they work, but also posses the mathematical knowledge to uncover their patterns and the computer skills to exploit them. To achieve success, banking and securities industries must come to grips with securities valuation, risk management, portfolio structuring, and regulation-knowledge embracing applied mathematics, computational techniques, statistical analysis, and economic theory. This four-course, online, instructor-led, graduate certificate provides you with what you need to know in stochastic modeling, optimization, and simulation techniques. You become expert at making pricing, hedging, trading, and portfolio-management decisions. With sharply honed practical skills, you will emerge as a key player in today's top industries-investment banking, risk management, securities trading and portfolio management. The Financial Engineering (FE) Master’s program consists of 10 courses for a total of 30 credits. This FE Technology Track has a concentration in Information and Modeling. Students wishing to enroll in the FE program must have an undergraduate degree in an engineering or science discipline, and must have completed coursework in:
- Calculus and Differential Equations
- Probability and Statistics
- Linear Algebra
- Programming Languages C++ or Java and Spreadsheets
Students must also some basic knowledge in FE. Students without this background should enroll in FE 510. Note that FE 510 cannot be used as a course for a FE degree.
This program has a core of eight courses and two electives.
Required: FE610, FE620, FE621, FE630, FE699, SYS611, SYS660, SYS670
Electives (select two): FE680, SYS681, MIS620, MGT630, MGT710
| Course # | Course Name | Instructor (s) | Semester |
|---|
| FE620 | Pricing and Hedging | Jim Wang, Ionut Florescu, Khaldoun Khashanah | Fall-2008, Summer A-2008 |
| FE621 | Computational Finance | Jim Wang, Ionut Florescu, Fotios Harmantzis, Khaldoun Khashanah | Fall-2008, Summer A-2008 |
| FE680 | Advanced Derivatives | Cristian Pasarica, Khaldoun Khashanah | Fall-2008 |
| FE699 | Project in Financial Engineering | Khaldoun Khashanah | TBA |
| MGT710 | Risk Management Methods and Applications | TBA | TBA |
| FE610 | Stochastic Calculus for Financial Engineers | Khaldoun Khashanah | Fall-2008, Summer A-2008 |
| FE630 | Portfolio Theory and Applications | Natasha Dexter, Ionut Florescu, Fotios Harmantzis | Fall-2008, Summer A-2008 |
| MIS620 | Analysis and Development of Information Systems | Rajkumar Kempaiah | Summer A-2008 |
| MIS630 | Data and Knowledge Management | Ira Sack | TBA |
| SYS611 | Modeling and Simulation | Michael Geller, John Farr | Fall-2008, Summer A-2008 |
| SYS660 | Decision and Risk Analysis | Fred Manzer | Fall-2008, Summer A-2008 |
| SYS670 | Forecasting and Demand Modeling Systems | Wei Jiang | TBA |
| General Information |
| Credits |
3 Credits Per Course/10 Courses for Master's |
| Tuition per credit |
$965 per credit |
| Current Schedule |
Click here |
| Semester information |
Long Range WebCampus Academic Calendar |
| Application |
Apply |
| Phone |
201-216-5092 |
| Toll Free |
1-800-496-4935 |
| FAX |
201-216-5011 |
| Email |
webcampus@stevens.edu |
| Mail |
WebCampus.Stevens
The Graduate School
Stevens Institute of Technology
Castle Point on the Hudson
Hoboken, NJ 07030
United States of America |
Co-sponsored by AACEI, ACM, AIChE, ASCE, ASME, IEEE, IEEE ComSoc, NECA, NSPE, ROA, SIM, and SNAME.
If you're a professional with a bachelor's degree, you can earn a graduate certificate or a masters degree in an outstanding online Engineering Management program delivered by the same superior faculty who teach in conventional settings. You receive the finest professional education using rich Internet features -- threaded discussions, chat, bulletin boards, e-mail, file sharing, whiteboards, and workgroups for in-depth participation. You also have online library privileges, with instant search and retrieval of important databases. Courses are taught using the most widely adopted distance learning web system.
