Taught course


Queen Mary, University of London · Mathematical Sciences

Entry requirements

The majority of our applicants will have an undergraduate degree with first class or upper second class honours (or international equivalent). Offers will typically be made at 2.1 level (upper second class) or equivalent. Students with a good lower second class degree may be considered on an individual basis. In some cases your offer may include additional conditions, such as minimum grades in specified modules, in order to ensure that you are sufficiently qualified for our MSc programmes.

For this programme we expect you to have completed an undergraduate degree in mathematics, or in mathematics with another subject, such as statistics, physics or computing. Your undergraduate modules must provide sufficient background to enable you to take an appropriate selection of our MSc modules.

Months of entry


Course content

Mathematics graduates are in high demand across industries, due to their rigorous numerical skills, problem-solving capabilities and analytical approach.

Advanced mathematics is intrinsically beautiful yet also underlies many aspects of everyday life. In this programme you’ll get to explore the breadth of mathematical research and the power of its applications.

Modules are offered in pure mathematics (especially algebra and combinatorics), applied mathematics (especially dynamical systems and networks, and including astronomy and relativity if desired), and probability and statistics. This results in a flexible MSc which opens doors to further research or top careers requiring mathematical ability.

Our alumni have gone on to roles spanning statistical analysis, technology consulting, audit, software engineering, teaching and more, working across the public and private sectors.


The programme consists of eight taught modules (of which seven can be chosen according to your own areas of interest) and a dissertation. We offer a broad range of dissertation topics; current examples range from combinatorial game theory to neural networks in imaging, Vassiliev knot invariants, and random walks. This gives you the possibility to interact with our world-leading research groups and even develop your own original contribution – excellent preparation for those interested in pursuing a PhD.

Fees and funding

UK students
See website
International students
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Qualification and course duration


full time
12 months
part time
24 months

Course contact details

School of Mathematical Sciences
+44 (0)20 7882 5468