Would you like to learn how to use novel mathematics to tackle real-world problems? This MSc and PhD-combined course bridges three key areas: Complexity Science; Systems Biology and Infectious Disease Epidemiology Research. The taught element of the course will equip you with the necessary skills required for the PhD, during which you can work on specialist mathematical solutions to global challenges. You’ll have the opportunity to identify real-world systems and explore how they can benefit from mathematical techniques.
As your studies progress, you’ll become open to new ways of thinking, combining cutting-edge mathematical skills with the ability to understand and model real-world systems. You’ll also learn how to analyse complex data sets, work well in multidisciplinary teams and become an effective communicator. Throughout the course, you’ll benefit from the first-hand expertise of our collaborative partners from industry, finance and health. As a result, you’ll graduate with excellent employment prospects and the relevant experience to work at the forefront of academic and industrial research.
Applications for MSc only are welcomed but there is no Research Council funding available for this option so applicants would need to source their own funding.
- Data Analysis
- Mathematics of Systems - MSc Project
- Mathematics of Real World Systems - MSc Research Study Groups
- Networks and Random Processes
- Numerical Methods
- Applied Dynamical Systems
This programme has optional modules to choose from to allow you to achieve the required credits to successfully complete the award. At a research led institution, optional module lists are subject to change each year to keep the student learning experience current and up-to-date. For the optional modules available in this department please visit the department website.
* The modules mentioned above may be subject to change. Please read our terms and conditions for more detailed information.
MathSys takes the form of a 1+3 year MSc and PhD.
The full-time MSc year is dedicated to developing a broad portfolio of mathematical techniques and partaking in small research problems with a strong emphasis on applied questions and practical approaches.
The PhD years train you into an independent researcher developing and using new mathematics to solve real-world systems challenges under the guidance of two supervisors and in the context of real-world systems problems coming from our external partners or others, in health, industry and finance.
It is dedicated to developing a broad portfolio of mathematical techniques through taught modules covering subjects such as Networks and Random Processes, Applied Dynamical Systems, Numerical Methods, Statistical Mechanics, Statistical Inference and Modern Topics in Mathematics Modelling. Alongside this, MSc students will also undertake projects and work on research problems that will have a strong emphasis on applied questions and practical approaches, and will be linked to real-world problems and experiences from our external collaborative partners.
Upon successfully completing the MSc year (or equivalent training), students will progress to a three-year PhD to work on a project that they will have identified during the final stages of their MSc study and the first few weeks of their PhD study.
Full-time: 1 year
2:i undergraduate degree (or equivalent) in a related subject
English Language requirements
Department of study
Location of study
University of Warwick
Home/EU: £8,580 per year
Overseas: £19,300 per year
These fees are applicable to year one and switch to £4,262 (home/EU), £17,050 (overseas) upon advancing to the PhD.
Find out more about fees and funding.