This course has a start date in September
This course offers a strong grounding in modern scientific computation, with applications in finance focussing on derivatives (options) and will assist students intending to move into careers where computational methods play a significant role, including those with a strong quantitative finance element.
Academics from the School of Mathematics will be joined in teaching by academics from the Business School. Students will gain experience of the type of problems encountered by academics and quantitative practitioners, both via taught courses and project work on an individual and group basis. Written and oral presentations will be undertaken at various stages of the course.
A substantial individual project will be undertaken, developing students' ability to engage in independent learning. The project will form the basis of the students' written dissertations. Other skills that students should develop include the ability to think logically and critically, problem-solving expertise, competent use of relevant software, and effective communication of results.