Mathematics

Are you curious about how advanced techniques in mathematical modelling are used? Do you want to learn about insights from the latest mathematical research?

During this MMath you will cover these topics, learning from dedicated mathematicians. Our degree gives you the chance to learn more about the exciting research our academics are working on, whilst giving you the knowledge and skills to carry out your own research. You'll develop your skills in problem solving and analysis. At the same time, the course will enable you to enhance and develop your transferable skills in project work, group study and presentations.

There's a range of specialised modules across all branches of mathematics, based upon our diverse research interests. Our academics are working on problems that span:

• medicine, biotechnology and food security

• epidemic modelling

• fluid mechanics, with applications in industry and biology

• statistical machine learning

• algebra and number theory

• mathematical finance

On this MMath, you'll have the chance to put your knowledge into practice during the final-year dissertation. This gives you a taster of what it is like to conduct your own research project, under expert supervision.

Courses for students, by students
Our co-created curriculum is redefining studying maths. Imagine being part of a vibrant community where students have actively shaped the degree programmes.

We believe in collaboration, and that's why our students, industry professionals, and alumni joined forces with our dedicated staff to design degrees suitable for the real world. As you would expect there is emphasis on mathematical concepts and techniques, but with a practical application too.

Want to find out more?

About mathematics at the University of Nottingham
The first year of this accredited degree gives you a flavour of the different areas of mathematics on offer. You will cover topics spanning applied mathematics, pure mathematics, statistics and probability. You will work individually and in groups to solve real-world problems using advanced theories and techniques.

It helps you to decide what you enjoy and if there are areas in which you want to specialise.

Later topics include:

• abstract mathematical structures

• ordinary and partial differential equations

• probabilistic and statistical models

• mathematical finance

• quantum mechanics and relativity

Putting your maths into practice
There are lots of opportunities to apply your knowledge in a real-world context, by working together with other students and lecturers to tackle complex problems from industry and academia.

We work closely with our industry partners and alumni to ensure the course is matched to employer needs so you can enter the workplace confident in the skills and knowledge you've gained.

Careers and employability
Many of our graduates use the mathematical principles and techniques they have developed for jobs in:

• data analytics

• engineering

• finance

• medicine

• software development

• teaching

Others use their transferable skills of analytical thinking and problem-solving in non-scientific roles such as management and consultancy. The course provides a good foundation for further study such as a PhD.

Why choose this course?

• Paid research projects - opportunities to gain research experience through a summer research project

• Attend guest lectures - join talks and workshops run by our Industrial Advisory Group and alumni

• Hands-on experience - through optional work placement year

• Spend time abroad - opportunities to gain confidence and amazing experiences

• PASS - students in higher years help with first-year topics and support you to settle in (Peer-Assisted Study Support programme)

• Transferable skills - in group work, presentations and projects

• Learn a language - broaden your career options by learning a language alongside your degree