The Probability and Stochastic Analysis research group at The University of Edinburgh specializes in the mathematical modeling of stochastic processes with a focus on applications in finance, engineering, signal processing, and biological sciences. Their research encompasses stochastic differential equations, stochastic PDEs, nonlinear filtering, and stochastic control, with particular emphasis on numerical methods and financial models such as stochastic volatility and incomplete markets. Graduates gain highly applicable skills for careers in industry and academia, especially within the financial sector.
Not enough reviews to generate pros and cons
The Probability and Stochastic Analysis research group at The University of Edinburgh specializes in the mathematical modeling of stochastic processes with a focus on applications in finance, engineering, signal processing, and biological sciences. Their research encompasses stochastic differential equations, stochastic PDEs, nonlinear filtering, and stochastic control, with particular emphasis on numerical methods and financial models such as stochastic volatility and incomplete markets. Graduates gain highly applicable skills for careers in industry and academia, especially within the financial sector.
Not Available in Not Available
400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
6.5
Starting 2025-09-01
Apply before 2025-08-01
Sep 2025
With the financial sector being the major commercial employer of our graduates, our involvement with the Scottish Financial Risk Academy, established in conjunction with Heriot-Watt University, offers valuable industry links and training. You can benefit from short project internships with leading financial institutions, visits from leading risk scholars, and a series of knowledge exchange courses and events. As part of the Probability & Stochastic Analysis group you will have access to the training activities provided by Mathematical Analysis & its Applications (MIGSAA).
Applicants must hold a UK first-class honours degree or its international equivalent in a relevant subject. Alternatively, a UK 2:1 honours degree combined with a UK master's degree or equivalent qualifications and experience are acceptable. Candidates should demonstrate strong academic background and research potential aligned with the program's focus areas.
₹31,39,431/Year
Annual Fee
3 years
Total Duration
No Living costs available.
No University Scholarships Available
N/A
Amount
1250 USD
Deadline
Not specified
N/A
Amount
Various benefits
Deadline
Not specified
N/A
Amount
Various benefits
Deadline
Not specified
N/A
Amount
2000 USD
Deadline
15 Apr 2025
N/A
Amount
300 EUR
Deadline
Anytime
No Eligibility Requirements Available
No Application Steps Available
No news articles found