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First Class Honours degree or very strong 2:i (or equivalent) in Mathematics, Physics, Statistics, Computer Science or other degree with high mathematical content.
Please make sure you check the full course details online before you apply.
Months of entry
The Mathematics of Systems programme takes the form of a 1+3 year MSc and PhD.
It trains students in the advanced quantitative skills and applied mathematical modelling critical to address today’s challenges in biomedicine and health sectors, modern industry and the digital economy.
MathSys is a Centre for Doctoral Training funded by the EPSRC, with support from external partners and the University of Warwick. It is dedicated to tackling real-world problems that require developing novel mathematical methods for multi-scale, machine-learning and hybrid modelling.
MathSys is an inclusive CDT with a strong creative and collaborative ethos, and benefits from its own dedicated facilities. We will train you to think broadly and combine cutting-edge mathematical skills with the ability to understand and model real-world systems, analyse complex data sets, work well in multidisciplinary teams and be excellent communicators.
Our core funding provides stipends and fees for 10 students per year (under UKRI funding restrictions) on a competitive basis, including three fully-funded international studentships.
Skills from this degree
- Core and specialist mathematics for tackling real-world problems
- Complex data analysis
- Machine learning
- Computational techniques
- A range of mathematical modelling methodologies
- Presentation skills
- Multidisciplinary teamwork
- Research methods
Information for international students
You can find out more about our English language requirements. This course requires the following:
- Band A
- IELTS overall score of 6.5, minimum component scores not below 6.0.
Fees and funding
For more information on funding please visit our Postgraduate fees and funding page.
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Postgraduate Admissions
- +44 (0)24 7652 4585