Taught course

Statistics and Computational Finance

University of York · Department of Mathematics

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Entry requirements

Candidates are expected to have a second class honours degree, or equivalent, with a significant mathematical (and, preferably, statistical) component. Applicants who have other qualifications or have studied overseas are welcome. Each applicant will be assessed individually to ensure that his/her academic and/or professional background is appropriate. Documented professional track record in statistics or quantitative finance will be considered alongside academic record. If you are a non-native English speaking applicant you must provide evidence of your English language ability. You need to show enough fluency in all aspects of English (reading, writing, speaking and listening) to the required level of the course you're applying to.

Months of entry


Course content

This one year MSc programme in Statistics and Computational Finance aims to train students to work as professional statisticians, not only at the interface between statistics and finance, but to provide skills applicable in sociology, health science, medical science, biology, and other scientific areas where data analysis is needed.

The emphasis of the programme is on data analysis. It will equip students with contemporary statistical ideas and methodologies as well as advanced knowledge, which will make students very competitive to industry, academic and governmental institutions. There are excellent career prospects for employment in industry and the public sector for our graduates.

Information for international students

York is a research-intensive university and a proud member of the elite Russell Group of universities, please see. Information about international fees can be found on our website.

Fees and funding

Department and University scholarships may be available, please check our website

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Postgraduate Administrator
+44 (0) 1904 323097