I had decided to undergo my bachelors project in developing a British Sign Language recognition model for the alphabet and the process really encouraged me to go into data science. I had no prior knowledge or understanding of the field but research throughout the year made me certain that this is what I would like to do with my career.

I enjoyed the block teaching method where we learn a module in 2 weeks then have 1 week for completing the assignment. It was less stressful as you only had to focus time on 1 topic/area rather than juggling 3 at once. I also felt like it kept you on your toes as 2 weeks isn't a long time and you could see the finish line from the first lesson, which helped for motivation.

My favourite model was Statistical Analysis and Methods because we got the chance to analyse data in order to estimate or predict other outcomes. The examples used in lectures were often about football players' positions and goals scored. As an avid football fan, it was fun to analyse patterns and visualise them from the data.