Masters | Postgraduate Course - Mathematical Finance (Online) MSc, PG Dip, PG Cert Course Details within University of York

Student Recruitment & Admissions
Tel:+44 (0) 1904 324 000
Email:pg-admissions@york.ac.uk
Start Month(s)
September 2016, February 2017
Contact Name
PG Administrator
Tel
+44 (0) 1904 323097
Mathematical Finance (Online) MSc, PG Dip, PG Cert

Study Details

MSc 1-3 years Part-time, distance learning, PG Dip 1-3 years Part-time, distance learning

This distance learning programme builds on the strength and success of the campus-based taught MSc in Mathematical Finance at the University of York. The online MSc was launched in September 2009 to run alongside the campus-based programme.

A online Pre-sessional Programme is available for candidates who need to strengthen or consolidate their mathematics background before embarking on the MSc. Such candidates need to apply at least 3 months before an MSc intake is due to start.

Online students will be developing skills and competence in Mathematical and Quantitative Finance which are of direct relevance in the field of work, and can open up fantastic employment and progression opportunities.

Entry Requirements

We welcome applications from candidates with postgraduate degrees (for example, MSc, MBA, PhD) either in a mathematical subject or in a finance related subject combined with sufficient mathematical background.

Each applicant will be assessed individually to ensure that his/her mathematical background is appropriate. We are looking for a minimum of two years (4 semesters or 6 trimesters) of university level courses in mathematics, including calculus, linear algebra, probability and statistics, with good marks. We offer a distance learning Pre-Sessional Programme for candidates who need to strengthen or consoliate their mathematics before starting the MSc.

Professional experience is also taken into account when assessing applications. In particular, professional experience in quantitative finance is considered a strong advantage, which can compensate to some extent for the lack of formal mathematical training.