Supported by a leading internationally recognised team with excellence in the field of nonlinear and complex systems you will engage with cutting-edge research, gain highly transferable analytical and numerical skills, and become proficient in the use of professional software and coding languages such as MATLAB, Mathematica, Python and R.  

You will critically apply specific methods for exploring qualitative and quantitative features of nonlinear models in fluid dynamics, electrodynamics, many-body and random systems, complex and biological networks. You will also classify and describe patterns, explore rare and extreme events, critical and catastrophic scenarios, and emerging cooperative and chaotic behaviours. 

As part of our Masters in Mathematics you will undertake an MSc project. You will join the mathematics team and work side by side with highly experienced researchers, exploring fundamental phenomena and mechanisms underpinning the emergence of patterns and extreme events. You can choose to apply your knowledge and skills to a variety of contexts including classical and quantum physics, biology, climate science, neural networks, machine learning with applications to specific problems of interest for the industry or the public. 

You’ll learn from a team of leading mathematicians. Our internationally diverse teaching team come from a wide range of backgrounds and have a wealth of experience between them. All of which are professional researchers building new knowledge, developing ways to approach and solve problems. 

Find out more about our teaching staff and their specific areas of interest in our teaching staff highlighted below.   

Throughout the duration of your course, you will have access to state-of-the-art facilities, such as our labs, recently refurbished through an HEFC STEM £7.2M investment, our University library, which has been recognised as third best in the UK, and our well-equipped working space, The Zone, which is open 24 hours a day, seven days a week. 

Technology enhanced learning is embedded throughout this course and materials such as module handbooks, assessment information, lecture presentation slides and reading lists will be available via our innovative e-learning platform, Blackboard. 

To facilitate group projects there is a working space called The Hub that’s well equipped for meetings and working with IT. The Zone is another area that’s popular with students undertaking group work or individual study. 

The course is underpinned by our research strengths and one of its main aims is to stimulate your scientific curiosity and help you to develop your own research potential. 
 
Teaching is both research-orientated and research-led and you’ll be gradually introduced to the advanced research methods and processes needed for the construction of new knowledge in mathematics.  
 
As you progress through your studies, you’ll develop your critical thinking skills and academic rigour and have lots of opportunities to engage with analytical and computational techniques, including your final year independent project where you’ll be expected to demonstrate your independent research and inquiry skills via your MSc project.

The powerful combination of mathematical abstraction and computational skills gained on this Masters course, will enable you to address current problems of interest in the industry, the public sector as well as in academic research. 

You can expect to go on into a range of professions including: a data scientist, mathematical modeller in areas such as forecasting, simulations, artificial intelligence, machine learning and medical science.