Due to high demand for this course, we operate a staged admissions process with multiple selection deadlines throughout the year, to maintain a fair and transparent approach. Explore our campus, meet ...

A main bottleneck in proteomics is the downstream biological analysis of highly multivariate quantitative protein abundance data generated using mass-spectrometry ...

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 ...

Applied Statistics is the implementation of statistical methods, techniques, and theories to real-world problems and situations in several fields, such as science, engineering, business, medicine, ...

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 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 is available on the MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Economics and Management, MSc in Statistics, MSc in Statistics (Financial Statistics), MSc ...