York This course is intended for candidates who want to combine rigorous study of relevant topics in applied and computational mathematics with econometrics and quantitative finance. You may be eligible for one of our pre-sessional English language courses. Professional experience in quantitative finance will be an advantage, but not a prerequisite, and can compensate to some extent for limited formal training. It is assumed that students are familiar with the Black-Scholes and binomial pricing models. Both departments host lively calendars of seminars and lectures, allowing you to expand your learning through visits from distinguished scholars and practitioners. It provides a rigorous education in financial theory, methods of engineering, tools of mathematics and practice of programming. They interact with the private sector as consultants and Board members, amongst other roles. Showing how to use various computer softwares (mainly Matlab) to have a deeper understanding of the theoretical models covered in the lectures. You'll complete a piece of independent research carried out over three months in the summer, supported by regular meetings with a dedicated supervisor. Prerequisite: SB/OMIS 5120 1.50 and SB/OMIS 5210 1.50 or permission of the instructor, Financial Engineering (Concurrent Diploma Only), Post-MBA Diploma in Advanced Management ›. We accept the following qualifications: For more information see our postgraduate English language requirements. At Columbia, the FE Program provides full-time training in the application of engineering methodologies and quantitative methods in finance. The coursework and projects consist of problems and practical tasks that might require the use of software. MBA / MFA / MA › Diploma programs are open to students in any relevant graduate program or to those who have a general interest in graduate-level work. International MBA › Topics include: linear programming and its applications; programming to achieve a set of goals or targets with applications in finance and production; capital budgeting and project selection; transportation and network models; and portfolio models. The introduction of more advanced tools will be preceded by a brief review of basic probability theory with particular focus on conditional expectation. Services for Students › It discusses arbitrage relationships, risk neutral valuation, the creation of options synthetically, numerical procedures and the evaluation of credit risk. Financial Engineering is a multidisciplinary field involving financial theory, engineering methods, mathematical tools, and programming. Seminars are small, interactive sessions which allow us to focus on your individual needs. 4700 Keele Street, Toronto To equip students with intermediate level knowledge of the core techniques employed in modern econometric analysis so that they are able: to follow the techniques and arguments used in a range of empirical papers in Economics and Finance; and, to undertake a successful empirical dissertation. Our beautiful green campus offers a student-friendly setting in which to live and study, within easy reach of the action in the city centre. York University respects your privacy and protects personal information in compliance with the Freedom of Information and Protection of Privacy Act and Canada Anti-Spam Legislation. It is also an ideal basis for progression to a PhD.
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