Course summary
Data science is an exciting, emerging discipline that has a profound impact on society. The world produces increasing volumes of data every day and making sense of this data has the capacity to be transformative. Data science combines mathematical, statistical and computational approaches to enable knowledge discovery from data. Employability prospects in this field are very strong. Bristol’s data science expertise means that you’ll be taught the sophisticated theory and methods needed to address modern data-analytic challenges by leading academics in this field. 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. Our highly interdisciplinary programme features links with the Bristol Institute for Scientific Computing (BriSC) as well as exposure to real-world problems from our industry partners. With applications across a wide range of industries, studying data science will equip you with the knowledge and skills you need to fast-track your career. Pharmaceuticals, manufacturing, market research, social media, finance, sports and disaster management are all fields with high demand for data scientists. 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.
How to apply
This course has limited vacancies, and is no longer accepting applications from some students. See the list below for where you normally live, to check if you’re eligible to apply.
EU
Wales
England
International
Scotland
Northern Ireland
Republic of Ireland
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- G1G5
- Institution code:
- B78
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
International applicants
The University of Bristol welcomes applications from international students, and accepts a wide range of qualifications for undergraduate study. If you studied at a school, college or university outside the UK, please select the relevant page for further information on qualification equivalencies, scholarships and details of our education representatives in your country/region: bristol.ac.uk/international/countries/
Entry requirements
Qualification requirements
European Baccalaureate: 88% overall, with 9.0 in Mathematics and 8.5 in another mathematics-related subject. Mathematics-related subjects include Biology; Chemistry; Computer Science; Economics; and Physics. STEP paper achievement may be included as part of an alternative offer.
Please click the following link to find out more about qualification requirements for this course
http://www.bristol.ac.uk/study/undergraduate/2023/maths/bsc-data-science/
Unistats information
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
England | £9250 | Year 1 |
Northern Ireland | £9250 | Year 1 |
Scotland | £9250 | Year 1 |
Wales | £9250 | Year 1 |
Channel Islands | £9250 | Year 1 |
EU | £27200 | Year 1 |
International | £27200 | Year 1 |
Additional fee information
Provider information
University of Bristol
Senate House
Tyndall Avenue
Bristol
BS8 1TH