MSc in Computational Biology and Bioinformatics

As a result of recent technological developments, there has been an increasing demand for professionals in finance with an engineering background. The Masters 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 semesters 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 years basic program. Programming and data analysis courses are offered as needed. Second years 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.

• Copy of the undergraduate or graduate diploma
• For diplomas awarded abroad, a copy of the diploma equivalency certificate issued by YÖK's International Equivalency Office, certifying the equivalency of the diploma to that of a Turkish higher education institution (the letter of equivalence must be submitted by the end of the first semester).
• Copy of English language proficiency test results
• Transcript showing all courses taken and grades achieved in all higher education institutions the applicant has so far attended or graduated from. If the transcript does not provide any description of the grading system, separate documents must be provided for the grading system of the relevant institutions.
• English Proficiency Test results accepted by Kadir Has University (if the program is fully or partially in English language)
• Turkish Proficiency Test results accepted by Kadir Has University (if the program is fully or partially in Turkish language)
• GRE, GMAT, ALES score results (if applicable)
• Copy of your Passport with a personal information page on it. If you don’t have a valid international passport at the time of application, please upload a copy of your national ID.
• Statement of Purpose
• Two reference letters
• CV
• Supplementary documents which may be required by the relevant graduate school