find your perfect postgrad program
Search our Database of 30,000 Courses
University of Oxford: Mathematics of Random Systems: Analysis, Modelling and Algorithms (Centre for Doctoral Training)
| Institution | University of Oxford |
|---|---|
| Department | Mathematics |
| Web | https://www.ox.ac.uk |
| graduate.admissions@admin.ox.ac.uk | |
| Telephone | +44 (0)1865 270059 |
| Study type | Research |
Summary
The information provided on this page was correct at the time of publication (November 2023). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas.
The Centre for Doctoral Training (CDT) in Mathematics of Random Systems is a four-year doctoral programme that offers academically outstanding students training in the areas of probabilistic modelling and stochastic analysis at Imperial and Oxford.
The Mathematics of Random Systems CDT offers a comprehensive four-year doctoral training course in stochastic analysis, probability theory, stochastic modelling, computational methods and applications arising in biology, physics, quantitative finance, healthcare and data science. It provides solid training in core skills related to probability theory, stochastic modelling, data analysis, stochastic simulation, optimal control and probabilistic algorithms.
Research topics focus on five foundation areas:
- Stochastic analysis: foundations and new directions
- Stochastic partial differential equations
- Random combinatorial structures: trees, graphs, networks, branching processes
- Stochastic computational methods and optimal control
- Random dynamical systems and ergodic theory
and five application areas:
- Randomness and universal behaviour in physical systems
- Stochastic modelling and data-driven modelling in finance
- Mathematical modelling in biology and healthcare
- Mathematical and algorithmic challenges in data science
- Mean-field models and agent-based modelling
In the first year, students follow four Core courses on Foundation areas and three elective courses, and choose a main research topic and a research supervisor. This research project will then be expected to evolve into a DPhil thesis in years two to four.
Throughout the four years of the course, students will participate in various CDT activities with their cohort, including a CDT spring retreat, the annual summer school as well as regular seminars, workshops and training in transferrable skills such as communication, ethics and team-working.
The CDT has multiple industry partners in the areas of data analytics, finance and healthcare who provide funding for DPhil projects linked to their areas of activity. Candidates with an interest in industry-related research projects are encouraged to apply. Industry-funded DPhil projects provide students with the opportunity to actively engage with our industry partners through collaborative research.
DPhil
| Level | RQF Level 8 |
|---|---|
| Entry requirements | For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas |
| Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
Not what you are looking for?
Browse other courses in Data analysis, Mathematics, Computational mathematics, Mathematical models or Probability, or search our comprehensive database of postgrad programs.Postgraduate Bursary Opportunity with Postgrad.com
Are you studying as a PG student at the moment or have you recently been accepted on a postgraduate program? Apply now for one of our £2000 PGS bursaries.
Click here
