2.2 Honours BSc or above (or a suitable qualification) in a relevant mathematical discipline.
Months of entry
The focus of this course is using mathematics to solve real world problems, such as in finance, energy, engineering or scientific research. The combination of the applied nature of the mathematics that is taught, with the masters level of this course, makes this qualification highly attractive to employers.
This one year course involves taking four taught modules in semester 1 (September-December), followed by a further 4 taught modules in semester 2 (January-May), and undertaking a project over the Summer (May-August). A typical selection of taught modules would be eight of the following:
- Dynamical Systems;
- Computational Modelling;
- Statistics & Stochastic Models;
- Inverse Problems;
- Mathematical Oncology;
- Mathematical Ecology & Epidemiology;
- Mathematical Physiology;
- Fluid Dynamics;
- Optimization in Finance and Energy;
- Personal Transferable Skills.
During the course you will learn subject material from core areas of applied mathematics, including numerical analysis and differential equations. You will encounter a selection of applications of mathematics such as fluid dynamics, optimization and mathematical biology. You will learn the correct use of mathematical language and proof. The ideas of mathematical modelling, such as constructing models, solving exactly or obtaining approximate numerical solutions, and interpretation and analysis of results will be encountered throughout the course. You will gain experience of using mathematical software packages including MATLAB, Maple and COMSOL and learn how to use these packages appropriatley.
By the end of the course you should have improved your ability to solve mathematical problems, and improved your ability to comprehend real-world problems, abstract the essentials of problems and formulate them mathematically and in symbolic form. You will learn how to select and apply appropriate mathematical processes to complex problems as well as how to construct and develop logical mathematical arguments with clear identification of assumptions and conclusions. You should also gain the ability to apply computational packages to problems and interpret the results.
More general skills that will be enhanced by taking this course include the ability to analyse problems, the ability to reason logically and creatively to form strategies to tackle problems, the ability to effectively communicate, both written and orally, the ability to learn and work independently, the ability to manage time, the ability to collaborate with others and work effectively as part of a team and the ability to use information technology.
Qualification and course duration
Course contact details
- Professor Gunnar Hornig
- +44 (0)1382 388315