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Taught Courses

We currently offer courses in four taught MSc degrees. 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.

Mathematical Sciences

Find out more about our MSc in Mathematical Sciences.
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Particles, Strings and Cosmology

Find out more about the MSc in Particles, Strings and Cosmology.
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Scientific Computing and Data Analysis

Find out more about the MSc in Scientific Computing and Data Analysis (MISCADA).
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Data Science

Find out more about the Master of Data Science (MDS).
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Scholarships

Are you thinking about postgraduate study? We have a range of support available.

Find out more about the scholarships available

 

MSc in Mathematical Sciences

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 pure mathematics, applied mathematics, statistics and probability.

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Apply for the MSc in Mathematical Sciences

See all course details, entry requirements, fees and funding and how to apply.

Apply for MSc in Mathematical Sciences

 

MSc in Particles, Strings and Cosmology

This 12-month specialist MSc explores some of the latest research theories as you develop the knowledge and skills to progress in the fast-moving world of particle theory.

The MSc is a rigorous course that offers a springboard for a PhD in Theoretical Particle Physics within the Centre for Particle Theory. By the end of the course, we aim to develop highly specialised skills that will equip you with the knowledge to understand advanced theoretical physics, the tools to solve complex problems and the confidence to draw your own conclusions.

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Apply for the MSc in Particles, Strings and Cosmology

See all course details, entry requirements, fees and funding and how to apply.

MSc in Particles, Strings and Cosmology

 

MSc in Scientific Computing and Data Analysis

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.

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Apply for the MSc in Scientific Computing and Data Analysis

Information about the course structure and links to see all course details, entry requirements, fees and funding and how to apply for each stream.

MSc in Scientific Computing and Data Analysis

 

Master of Data Science

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.

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Apply for the Master of Data Science

See all course details, entry requirements, fees and funding and how to apply.

Apply for Master of Data Science
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Postgraduate Scholarships

Are you a UK student and thinking about postgraduate study? We have a range of support available including our Postgraduate Student Support Scholarship, Dean’s Scholarship and Alumni Fee Scholarship.

Find out more and apply

 

 

Discover more

  • Apply for a PhD

    Find out more about how to apply for a PhD at the Department of Mathematical Sciences.

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  • Research Areas

    Find out more about our research groups, their research interests and members of staff.

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Apply for a PhD

Find out more about how to apply for a PhD at the Department of Mathematical Sciences.

Laptop and mans hands writing in a notebook

Research Areas

Find out more about our research groups, their research interests and members of staff.

Equations on blackboard