We currently run our taught MSc degree in Mathematical Sciences and offer courses in two more. Each of these offers a gateway to a variety of careers in the public and private sectors, and a natural pathway to a PhD. Find out more by clicking on the links below.
Are you a UK student and thinking about postgraduate study? We have a range of support available including our Postgraduate Student Support Scholarship and Alumni Fee Scholarship.
Mathematical sciences graduates are in demand. This flexible course opens the door to a wide range of careers in the public and private sectors, and provides a pathway to a PhD in an area of mathematics of your choice.
When you choose the 12-month MSc in Mathematical Sciences you will benefit from a research-led education where you learn the latest techniques from internationally-recognised specialists in their fields. The course has four streams linking together modules with a coherent theme: Pure, Applied Mathematics & Mathematical Physics, Probability, and Mathematical Finance. These are flexible and you can choose modules from other streams allowing you to put together a truly bespoke course adapted to your interests.
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See all course details, entry requirements, fees and funding and how to apply.
Advances in many fields from science, engineering and economy will be driven by those skilled in handling large parallel machines and data sets with extreme volume or velocity. The Durham MSc in Scientific Computing and Data Analysis (MISCADA) trains students in these areas, equipping them with essential professional, entrepreneurial and collaborative skills. The MSc has four streams: Financial Technology, Astrophysics, Earth and Environmental Sciences, and Computer Vision and Robotics, giving students the opportunity to apply their core knowledge to challenging, state-of-the-art problems from a particular specialisation.
The programme is for those with excellent technical skills (in particular mathematics and programming). It enables students to develop an understanding of how modern scientific computing and data analysis tools work, and to apply the latest data analysis and simulation technologies to their own specialism, whether for an employer, or in pursuit of a PhD.
Information about the course structure and links to see all course details, entry requirements, fees and funding and how to apply for each stream.
Designed by experts in the field, the Master of Data Science (MDS) develops the specialist skills you will need to manage and analyse different types of data efficiently. This advanced understanding of complex data will give you a head start in this dynamic field.
The Master of Data Science is a conversion course that opens up a future in data science even if your first degree is in a non-quantitative subject (including the social sciences, the arts and humanities). The course begins with a range of introductory modules in Mathematics, Statistics and Computer Science, tailored to previous experience, before progressing to more advanced contemporary techniques such as neural networks and deep learning to expand your knowledge and understanding. The MDS culminates in the research project, an in-depth investigation into an area of specific interest in which you apply the skills learned during the course to a research problem in an area of your choice.
Find out more about research degrees at the Department of Mathematical Sciences.
Find out more about our research groups, their research interests and members of staff.
Find out more about available scholarships.
Find out more about the Durham Doctoral Teaching Fellowships (DDTF).
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