MSc in Mathematical Finance by Online Distance Learning
MSc in Mathematical Finance
make options your future
make futures your option
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.
Applications are invited for the intake of students in February 2017. Applications for September 2017 entry will open on 26 September 2017. Candidates should submit their application at least 2 weeks before an intake is due to start. Please go to the Enquiries and Applications section to find contact details and information for candidates.
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. Please see the Careers and Destinations section.
The online programme has built-in flexibility to meet the needs of distance learners from diverse backgrounds:
"Studying at York for the MSc in Mathematical Finance was an amazing experience for me. Excellent textbooks and friendly tutors allowed me to master quite sophisticated mathematics and excel in most subjects. Interactive lectures just a mouse-click away provided me with opportunity to study at home, on the move, everywhere! This is the future of higher education indeed. The course is a great way to master a complex discipline for people who lead busy lives. I believe that having a degree from York was a significant help for advancing my career. The course equipped me with an in-depth understanding of how modern finance works. It gave me confidence and knowledge necessary when going through job interviews. People’s respect was also quite tangible whenever they learned that I have a degree from a leading university."
Valeriy Kovalevskiy (Fund Management Company, Australia)
The distance learning programme is delivered online using Internet conferencing and application sharing software and a web-based Virtual Learning Environment (VLE).
A distinctive feature are regular 1-to-1 ("Oxbridge style") online tutorials and supervisory sessions. For more details see the Online Teaching and Learning section.
Interactive presentations are provided on CDs and for downloading via the VLE in lieu of lectures, supported by lecture notes, worked exercises, synchronous 1-to-1 online tutorials and an asynchronous discussion forum. Please see a demonstration of the VLE and a CD presentation sample:
No presence on campus is required, but access to suitable hardware, software and a good Internet connection are necessary pre-requisites. Please see the Software and Hardware section.
The online MSc programme consists of three stages: Certificate, Diploma and Dissertation, preceded by a brief Induction Period. The Programme Structure section provides the contents and specifications for the modules comprising each of these stages.
There are two 4-month teaching periods in each academic year, October-January and March-June, and two intakes per year, in October and March. Completing the online MSc can take from 18 months (Fast Stream) to 36 months (Standard Stream). Transfers between the two Streams are possible between stages. The Timing and Pathways section provides more details.
Students have remote access to electronic library resources, and full pastoral and study support including a personal supervisor and a dissertation supervisor; see Library Services for Distance Learners and Support for Online Students.
Assessment is by means of written coursework submitted electronically and a recorded online Viva Voce (an oral examination) held at the end of each of the three stages (Certificate, Diploma, Dissertation) of the programme.
Department of Mathematics, University of York, Heslington, York, UK. YO10 5DD