Probability and Stochastics
The University of EdinburghAbout this course
As part of our small, specialised group, you'll enjoy a research environment that features a balance between theory and practice, access to one of the most powerful computing facilities in the UK and strong links with relevant industries.
The School of Mathematics is a vibrant community of more than 60 academic and related staff supervising 60 students.
Our research focuses on the following themes:
* stochastic differential equations and stochastic partial differential equations (PDEs) and their applications in nonlinear filtering and stochastic control
* applications of stochastic analysis of PDEs, stochastic PDEs and stochastic differential equations (accelerated numerical methods in particular)
We’re also involved in the applications of probability theory, mainly to mathematical finance, particularly stochastic volatility models, equivalent martingale measures and incomplete markets. Other applications include engineering, signal procession and biological sciences.
Study Options
This course is available in 2 study options:
Duration: 96 Months
Qualification: PhD
Location: Edinburgh
Duration: 48 Months
Qualification: PhD
Location: Edinburgh
Career Prospects
Graduates from this course typically go into the following occupations:
Course Details
- Qualification
- Doctor of Philosophy - PhD
- Study Mode
- Full-time
- Duration
- 48 Months
- Start Date
- 2025
- Academic Year
- 2025
- Campus / Location
- Edinburgh
- Scheme
- Undergraduate
- Subjects
- Mathematics and statistics