Computational statistics harnesses the power of sophisticated numerical algorithms and high‐performance computing to solve complex inferential problems that are intractable by traditional analytical ...

Data science is a broad, rapidly developing field that combines statistics and mathematics, artificial intelligence, machine learning and programming, for the extraction and structuring of knowledge ...

This course is designed for engineering graduate students who are interested in furthering their knowledge in advanced and emerging methods of engineering design, with the focus on computational ...

This course covers the ideas underlying statistical modelling in science through the lens of causal thinking. We cover the implementation of these ideas through Bayesian computational methods and ...

Simone Rubinacci is a Group Leader at FIMM and a Research Fellow at Brigham and Women's Hospital and Harvard Medical School. He earned his DPhil from the Department of Statistics at the University of ...

This course is compulsory on the MSc in Financial Mathematics. This course is available on the MSc in Quantitative Methods for Risk Management, MSc in Statistics (Financial Statistics) and MSc in ...

This course is designed for engineering graduate students who are interested in furthering their knowledge in advanced and emerging methods of engineering design, with the focus on computational ...