MSc Mathematics (with options in Statistics)

MSc in Mathematics (full-time and part-time, with options in Statistics)

The MSc in Mathematics gives an in-depth training in advanced mathematics or advanced mathematics and statistics to students who have already done very well in a first degree with high mathematical content. Students successfully completing the MSc will acquire specialist knowledge in chosen areas of mathematics and statistics, and will complete a dissertation demonstrating their ability to work largely independently in an advanced topic in mathematics or statistics.

Why study with us?

  • You will be taught by helpful, enthusiastic academic staff who are world-experts in their fields.
  • The programme is flexible and it allows you to choose modules in different areas or specialise in one.
  • Our unique fast-track statistics option prepares students who have only first-year undergraduate knowledge in probability and statistics to be able to take our advanced statistics modules, and so prepare students for a career in statistics.
  • As well as access to the extensive Queen Mary Library resources, MSc Mathematics students enjoy a spacious recently refurbished shared offices in the Mathematics Building and a dedicated computer network with state-of-the-art software and printing facilities.
  • We expect to be able to offer on-campus accommodation  to all new full-time postgraduate students coming from outside the London area.

The MSc programme, which starts in late September, is offered full-time over one year or part-time over two. Students are required to take eight taught modules (one MSc taught module typically comprises 24 hours of lectures and 12 hours of tutorials given in a 12 week semester), and in addition to submit a project dissertation (completed during the summer). A part-time student typically needs to attend lectures for two or three half-days per week during a teaching semester.

How to apply

To apply for the MSc in Mathematics please see the admissions information for this programme.

Follow QMULMaths on Facebook Follow QMULMaths on Twitter Follow the QMULMaths news feed