You'll thrive as you study with our experienced and award-winning academic team.
This Mathematical Sciences Masters course will prepare you for the challenges of research in mathematics or statistics. Supported by relevant taught models and by academic supervisors, experts in your chosen specialist subject, you will undertake a year-long research project in which you will experience all stages of the research process.
You will gain deep knowledge of a chosen topic in mathematics or statistics and develop your research skills in project planning, reviewing literature, group discussions, research presentations and writing publications.
You will take two core taught modules each providing you with the underpinning theory to support your research work. You will then choose two optional modules from three pathways: statistics, applied mathematics and pure mathematics.
Work with experts from a range of areas including quantum cryptography, graph theory, statistical analysis, bioinformatics and mathematical modelling
This course benefits from the excellent facilities and equipment available in the School of Science and Technology.
Postgraduate open events: We hold postgraduate open events throughout the year. Find out more and book a place.
Telephone: +44 (0)115 848 8351
What you'll study
You will undertake a year-long research project, two compulsory modules and then choose any two 20 cp modules (at least one must be Level 7 (L7)) from the options below. We recommend you choose modules which relate to your chosen research project:
- Research Methods (20 cp) - Development of skills in how to plan, write and deliver oral presentations, posters and research proposals, find and appraise current literature.
- Research Project (120 cp) - A full-time extended (9-10 months) research project in a chosen theme within Mathematical Sciences.
Options in Statistics:
- Computational Statistics and Data Analysis (20 cp) (L7) - Explore topics from computational statistics and statistical models that are relevant to modern applications with an emphasis on developing solid conceptual understanding of these methods through applications
- Applied Statistics (20 cp) - Extends your experience of statistical techniques and methodologies, applying them in a diverse range of industrial and commercial contexts
- Statistical Modelling (20 cp) - This module will help you to recognise and understand the principal methods of analysis for medical and financial data, including the analysis of survival data and dealing with large, complex datasets.
Options in Applied Mathematics
- Mathematical Recipes (20 cp) (L7) - An introduction to six important theoretical mathematical methods and their wide ranging applications, primarily in physics and engineering
- Topics in Mathematical Biology (20 cp) (L7) - Examine the use of differential equations and their application to biological systems. Network models for a range of biological processes, including models of drug delivery, tumour growth and multicellular systems
- Linear Systems (20 cp) - You will continue your previous studies in the fields of linear algebra and differential and difference equations
- Topics in Applied Mathematics (20 cp) - Broadens your knowledge, understanding and skills in the reformulation and solution of equations which are relevant to the modelling of physical phenomena. Topics include partial differential equations and the fundamentals of mathematical modelling.
- Numerical Analysis and Dynamical Systems (20 cp) - Develop your knowledge of numerical methods such as numerical optimisation techniques, advanced methods for the numerical solution of ordinary differential equations, and the application of methods to non-linear problems.
Options in Pure Mathematics
- Topics in Pure Mathematics (20 cp) - Introduces you to a selection of research informed advanced topics in pure mathematics, and extends and complements ideas introduced in Year One and Year Two. Topics include graph theory and geometry
- Coding Theory and Cryptography (20 cp) (L7) - Introduces you to the theory of error-correcting codes and cryptography in facilitating the reliable, efficient and secure communication of information.
Learn a new language
Alongside your study you also have the opportunity to learn a new language. The University Language Programme (ULP) is available to all students and gives you the option of learning a totally new language or improving the skills you already have.
Learning a new language can:
- Enhance your communication skills;
- Enrich your experience when travelling abroad; and
- Boost your career prospects.
Find out more about the ULP.
- 90% of our research activity achieved world-leading, internationally-excellent or internationally-recognised status (latest Research Excellence Framework 2014)
- 95% of our postgraduates are in work or further study within just six months of finishing their degrees (latest Destination of Leavers from Higher Education survey 2014-15)
- 83% of NTU postgraduate taught students said that overall they were satisfied with the quality of their course (Postgraduate Taught Experience Survey 2016)
- Leading university in the UK for the number of postgraduate students taking professional qualifications (latest Higher Education Statistics 2014/15)
View the full course specification
Please note that course specifications may be subject to change
How you're taught
In the first two terms you will study your taught modules, in which you will develop your research skills through group work and assignments, and learn cutting-edge mathematics in small-group lectures and seminars. Right from the start, alongside the taught material, you will begin work on your master's level project, with regular structured meetings with your supervisory team.
Over the summer you will be able to really focus on your project and apply what you have learnt to a specific problem. You will learn through:
- case studies
- group and individual work.
Careers and employability
This Mathematics postgraduate degree provides an excellent platform from which to apply for a PhD in Mathematics or Statistics and your immersion in the research environment means you will really impress at interview. Your research skills mean you will really be able to hit the ground running.
If you are looking for a career in industry, the skills you have acquired on the course - independence, logical reasoning, project planning, intellectual discussions - will mean you are highly employable in industries such as finance, IT, business, teaching and consultancy.
This course does not currently offer placements.