• Ph.D. in Mathematics of Random Systems: Analysis, Modelling, and Algorithms at the University of Oxford offered a program for a duration of 4 years.
  • This course is offered on a full-time basis.
  • This program offers academically outstanding students training in the areas of probabilistic modeling and stochastic analysis at Imperial and Oxford. 
  • It provides solid training in core skills related to probability theory, stochastic modeling, data analysis, stochastic simulation, optimal control, and probabilistic algorithms. 
  • In this program, 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
  • Through this 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.
  • The faculty and student ratio for this program is 1:11.
  • The average salary goes up to 113,500 USD after completing this program.
  • The Employment rate of the University of Oxford is 91%.