Join a University ranked in the UK top five for Maths research (THE analysis of REF 2021) with an excellent reputation for teaching and learning (UK top ten for Maths, QS World University Rankings by subject 2023).
Data science combines mathematical, statistical and computational approaches to enable knowledge discovery from data. This exciting emerging discipline has a profound impact on society, and career prospects in this field are very strong.
Choosing to spend a paid year in industry will give you the opportunity to put theory into practice in a real world setting. It can help you hone your skills in project management, teamwork and communication. You'll develop valuable professional insight and connections, boosting your employment choices after graduation. You'll be supported by our dedicated Placements administrator based in the Science Partnership Office, with help in finding the right role for you and guidance on applications and career skills.
Learn with leading academics in this exciting field. Bristol's data science expertise means that you'll be taught the sophisticated theory and methods needed to address modern data-analytic challenges, applying what you learn to real world problems. Our highly interdisciplinary programme features links with the Bristol Institute for Scientific Computing (BriSC) as well as opportunities to learn more about your future career options through our links with industry partners.
You will study units involving a blend of theoretical background and practical skills designed especially for this new course, including Mathematical Tools for Data Science, Advanced Linear Modelling and Classification, and Algorithms and Machine Learning.
Additional information, including information about careers in Data Science and testimonials from students and industrial partners, can be found here.
If you're interested in pursuing further research, our Centre for Doctoral Training, COMPASS, offers the opportunity to study computational and statistical science through a four-year PhD programme.