Sede
Reino Unido
Formato de estudo
Online
Idioma do curso
Inglês
Áreas de estudo
Matemática, Ciências da Computação, Finanças
Duração
4 Meses
Ritmo de estudo
Meio Período
Titulação
Cursos livres
Valores
Solicite informações
Sede
Reino Unido
Formato de estudo
Online
Idioma do curso
Inglês
Áreas de estudo
Matemática, Ciências da Computação, Finanças
Duração
4 Meses
Ritmo de estudo
Meio Período
Titulação
Cursos livres
Valores
Solicite informações
The courses are based on 8 books from the "Mastering Mathematical Finance" (MMF) series published by Cambridge University Press. There are 8 individual courses - each covering the contents of one of the books.
Delivery is by means of one-to-one tutorials conducted via Skype by the authors and editors of the series, and regular coursework.
The courses are designed to meet the continuing professional development and training needs of:
(Pre-sessional course "Mathematics for Quantitative Finance" - This course is suitable for candidates who need to consolidate their mathematics background before embarking on some or all of the 8 courses. Cost - £1500)
Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. Beginning with straightforward option pricing on binomial trees, the book gradually progresses towards more advanced topics, including nonlinear solvers, Monte Carlo techniques for path-dependent derivative securities, finite difference methods for partial differential equations, and American option pricing by solving a linear complementarity problem. Further material, including solutions to all exercises and C++ code, is available online. The book is ideal preparation for work as an entry-level quant programmer and it gives readers the confidence to progress to more advanced skill sets involving C++ design patterns as applied in finance.
Founded on principles of excellence, equality and opportunity for all, the University of York opened in 1963 with just 230 students. Since then we have become one of the world's leading universities, carving out a reputation as an academic powerhouse where a clear focus on excellence has secured national and international recognition alongside longer-established institutions.
A member of the elite Russell Group of universities , we are a dynamic, research-intensive university committed to the development of life-saving discoveries and new technologies to tackle some of the most pressing global challenges.
There are now over 30 academic departments and research centres and the student body has expanded to nearly 16,000.
Located within walking distance of York city centre, our safe and attractive Heslington campus is home to our nine colleges and most of our departments. We also have several departments located in the city centre at the historic King's Manor.
In recent years, our £750m campus expansion has seen the opening of seven new buildings, increasing our capacity for student numbers and providing more world-class facilities for the 21st century. Sustainability plays a key role in this ambitious development.
University of California, Irvine - Division of Continuing Education
Online
Estados Unidos da América (EUA)
Ciências da Computação, Engenharia, Engenharia Elétrica, Ciências da Computação e TI
Cursos livres
Inglês
9 Meses
edX
Online
Estados Unidos da América (EUA)
Ciências da Computação, Estatística, Ciência de Dados
Cursos livres
Inglês
1 Ano 2 Meses
University of California, Irvine - Division of Continuing Education
Online
Estados Unidos da América (EUA)
Ciências da Computação, Ciências da Computação e TI, Inteligência Artificial
Cursos livres
Inglês
9 Meses
Saint Mary's University of Minnesota Online
Online
Estados Unidos da América (EUA)
Ciências da Computação, Ciências da Computação e TI, Inteligência Artificial
Cursos livres
Inglês
1 Ano
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