BSc Data Science (G1G5)
2027 entry | view 2026 entry
Course summary
Our three-year BSc Data Science degree is designed to equip you with the latest knowledge and skills to fast-track your career and find cutting-edge solutions to the challenges facing our data-led world.
Bristol is ranked in the UK top five universities for Maths research (THE analysis of REF 2021). We also have an excellent reputation for teaching and learning (6th in the UK for Maths, Complete University Guide Rankings by subject 2026).
You'll learn with leading academics in this exciting field. Bristol's data science expertise means that you'll be taught the sophisticated theories and methods needed to address modern, data-analytic challenges.
You'll combine mathematical, statistical and computational approaches to discover knowledge from data. Our course will prepare you for a diverse range of exciting careers, including:
- pharmaceuticals
- manufacturing
- market research
- social media
- finance
- sports
- disaster management.
You'll study units with a blend of theoretical background and practical skills designed especially for this course. Every unit is tailored to ensure you're ready for the professional world from the moment you graduate.
Explore further information about careers in data science, and view testimonials from students and industrial partners.
Our Think Big international scholarships for undergraduate and postgraduate students could help you fund your UK study at the University of Bristol.
This course is currently undergoing its scheduled five-year re-accreditation process with the Institute of Mathematics and its Applications (IMA). It has previously been accredited by IMA. The outcome of the current review is expected by 2026.
What you'll gain: skills and careers
Career paths
- AI Engineer
- Lead Data Scientist
- Algorithmic Trading Analyst
- Associate - Financial Risk Management
Skills taught
- Programming and computational skills
- Statistical analysis and modelling
- Analytical and problem solving
- Machine learning and AI
- Data handling and management
Graduate employers
- ByteDance
- SCBX
- Carbon Numbers
- Quantitative Brokers
- PWC
Course structure
Entry requirements
We accept a wide variety of qualifications and welcome applications from students of all backgrounds. Below is a guide to the typical offers for this course.
Or
A*AA including A*A in any order Maths and Further Maths. Mathematics-related subjects include Biology; Chemistry; Computer Science; Economics; and Physics. STEP paper achievement may be included as part of an alternative offer.Find out if you are eligible for a contextual offer
Find out more about BTEC entry requirements
Find out if you are eligible for a contextual offer
More about Access to HE entry requirements
Search international qualifications
Selection process
- Regulations and codes of conduct we abide by to create a positive environment for learning and achievement are found in the University admissions policies and procedures.
- If applying with extenuating circumstances please see our policy.
- Full information about our selection processes for Data Science can be found in the Admissions Statement:
Admissions statement - The admissions statement above relates to 2026 entry. The statement for 2027 entry will be available in summer 2026.