Royal Holloway, University of London, Computational Finance MSc, 1 Year(s)

This course, offered by the Department of Computer Science and the Department of Economics, allows you to specialise in modern quantitative finance and computational methods for financial modelling, which are demanded for jobs in asset structuring, product pricing as well as risk management. Skills that you will acquire include the ability to: analyse, critically evaluate, and apply methods of computational finance to practical problems, including pricing of derivatives and risk assessment analyse and critically evaluate methods and general principles of computational finance and their applicability to specific problems work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks analyse and critically evaluate applicability of machine learning algorithms to problems in finance implement methods of computational finance and machine learning using object-oriented programming languages and modern data management systems work with software packages such as MATLAB and R work with Relational Database Systems and SQL

For more information on this course, you can get in touch with Manya Education for a detailed discussion and understanding of requirements. Just share your details and we will reach out to you for a FREE session.

This course, offered by the Department of Computer Science and the Department of Economics, allows you to specialise in modern quantitative finance and computational methods for financial modelling, which are demanded for jobs in asset structuring, product pricing as well as risk management. Skills that you will acquire include the ability to: analyse, critically evaluate, and apply methods of computational finance to practical problems, including pricing of derivatives and risk assessment analyse and critically evaluate methods and general principles of computational finance and their applicability to specific problems work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks analyse and critically evaluate applicability of machine learning algorithms to problems in finance implement methods of computational finance and machine learning using object-oriented programming languages and modern data management systems work with software packages such as MATLAB and R work with Relational Database Systems and SQL

For more information on this course, you can get in touch with Manya Education for a detailed discussion and understanding of requirements. Just share your details and we will reach out to you for a FREE session.