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MSc in Mathematical Finance by Online Distance Learning

MSc in Mathematical Finance
by Online Distance Learning

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.

By following this link you can download the Electronic Brochure for the online MSc programme. 

Applications are invited for the intake of students in February 2016 or September 2016. 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 leats 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:

  • City and other professionals, who wish to pursue a postgraduate degree programme without disrupting their career commitments;
  • Individuals, companies and professional organisations seeking suitable Continuing Professional Development (CPD) courses;
  • Recent university graduates who need to support themselves or their families while continuing their studies to postgraduate level;
  • Students who find it difficult to attend a campus-based programme because of a variety of reasons such as family care commitments or disability;
  • Overseas students who seek a degree in Mathematical Finance from a leading British university but prefer or need to pursue their studies from their home country.


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:
VLE Demo
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. 

Edited 1 Oct 2015 - 13:40 by njp503

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Online MSc in Mathematical Finance