Mathematical Sciences - MRes
Master
In Nottingham
Description
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Type
Master
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Location
Nottingham
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Duration
1 Year
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'll thrive as you study with our experienced and award-winning academic team.
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.
Facilities
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Start date
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About this course
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.
A UK honours degree (minimum 2.1) or equivalent in a relevant discipline
Applicants with relevant employment experience or other relevant qualifications will also be considered
Reviews
Subjects
- GCSE Mathematics
- Statistics
- Mathematics
- Systems
- Data analysis
- Computational Statistics
- Statistical Modelling
- Mathematical Recipes
- Mathematical Biology
- Linear Systems
- Numerical Analysis
- Dynamical systems
- Cryptography
Course programme
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 MathematicsMathematical 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.
Additional information
Mathematical Sciences - MRes