As a result of recent technological developments, there has been an increasing demand for professionals in finance with an engineering background. The Master’s Program in Financial Engineering is an interdisciplinary program based on the theory of finance, on the application of mathematical sciences to finance and on the use of information technologies in finance.
The graduates of the program can work in the banking sector, in financial management, in risk analysis, and as quantitative analysts in finance departments. They are expected to:
- Efficiently use tools and techniques to evaluate financial markets, determine investment strategies, and make risk assessment in insurance and investment funds.
- Work on the design, implementation, and marketing of new financial tools.
- Construct mathematical models and solve these with efficient computational techniques.
The compulsory courses of the program are basic courses in financial mathematics and applied technical analysis with an emphasis on algorithmic trading. The laboratory work aims to give hands-on training in the programming of financial mathematics and on the use of data terminals for stock markets. The non-thesis M.Sc. program consists of 36 credits and a non-credit Graduation Project, while the M.Sc. program with thesis consists of 27 credits and the non-credit Seminar and M.Sc. Thesis.
The medium of instruction is English.
Why Should I Choose This Program?
If you are an engineering graduate, the program will be a quick introduction to finance. If you are a non-engineering graduate, you will learn quantitative techniques that will allow you to work with information technology professionals in developing new financial instruments.
What Will I Learn in This Program and How Will It Contribute to My Career?
The curriculum for the first semester of the M.Sc. program in Financial Engineering concentrates on the pricing of fixed income securities and on the pricing of financial instruments with deterministic methods, while the second semester’s curriculum is on the pricing under uncertainty, using stochastic techniques. The teaching of portfolio optimization is based on Excel; Monte Carlo simulations use Matlab. Applied technical analysis and algorithmic trading is taught for 2 semesters in Finance Laboratories. Financial modeling and institutional finance are part of first year’s basic program. Programming and data analysis courses are offered as needed. Second year’s courses include advanced financial engineering courses offered by finance professionals or electives from economics, management or information technologies. For recent graduates, the program is a quick integration to the professional life while for people already in financial institutions, it provides acquaintance with recent trends and new techniques.
This school offers programs in:
Last updated March 1, 2018