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During the second term of the Masters year at STOR-i, we are introduced to 4 different active research areas by the experts researching in what are known as the Masterclasses. With a focus on one area per week for four weeks in a row, we are given talks by and engage in interactive activities with […]

As mentioned in an earlier post, during the MRes year at STOR-i we write papers on two “Research Topics”, one which is seven pages long, and one which is a more substantial twenty pages. Feedback from my first Research Topic paper raised a few issues about my writing style, so the second paper gave me

A long running part of the STOR-i MRes is learning to program in a handful of different programming languages. Namely, we learn to program in R (most familiar to Statistics students), Python, and C++. On top of this, we also learn how to write R packages in C++, giving us the ability to use powerful

The start of the second term of the Master’s year at STOR-i is characterised by a wide range of Research Topics, often shortened to RTs. This begins with eleven days each of which is dedicated to a certain research topic, with around three lectures a day from different researchers in the field. The topics have

During Weeks 7-10 of the STOR-i MRes, each week is structured as a “Sprint” on a specific topic. Each week starts with an introductory lecture on a given topic, a research task is set by the Sprint leader, we are randomly assigned into groups, and we have until Thursday afternoon to present our findings and

Welcome to my first blog post! I’m Luke, an MRes student at the STOR-i (Statistics and Operational Research in partnership with Industry) Centre for Doctoral Training. As part of this one-year course that prepares us for our PhD with STOR-i, we are tasked with the upkeep of this blog as a way to discuss and