This program brings together mathematics, statistics, and computing to help you uncover powerful insights from data. If you enjoy solving real-world problems with precision and creativity, this course gives you both the solid theory and the hands-on practice you’ll need. You’ll graduate with the skills to thrive in high-demand areas such as healthcare, finance, sports analytics, disaster management, and beyond.
Curriculum Structure
Year 1
Your first year is all about building strong foundations. You’ll study key mathematical and statistical principles in units like Mathematical Tools for Data Science, setting you up for the more advanced computational work to come.
Year 2
In your second year, you’ll dive deeper into specialist areas. Modules like Advanced Linear Modelling and Classification and Algorithms and Machine Learning will sharpen your programming and statistical skills, bringing theory and practice together.
Year 3
Your final year is where you shape the course to your interests. Alongside a major research project, you’ll have the freedom to explore options in machine learning, statistical modelling, or domain-specific applications. You’ll also benefit from the support of the Bristol Institute for Scientific Computing (BriSC) and the university’s strong industry connections.
Focus Areas
Mathematics and statistical science
Computer programming
Machine learning
Real-world data projects
Learning Outcomes
By the time you graduate, you’ll have:
A strong mathematical and computational foundation
Practical programming experience, developed in collaboration with Bristol’s Scientific Computing experts
The ability to apply cutting-edge algorithms to real datasets
The skills to design and deliver effective data science solutions
Professional Alignment (Accreditations)
The course is accredited by both the Institute of Mathematics and its Applications (IMA) and the Royal Statistical Society (RSS). These respected accreditations signal to employers and academic institutions that your degree meets high professional standards.
Reputation, Employability & Rankings
The University of Bristol is regularly ranked among the UK’s top 10 universities and is currently 51st globally in the QS World University Rankings 2026.
Ranked 6th in the UK by the Complete University Guide 2025, with particular strength in teaching, entry standards, research, and graduate prospects.
Bristol graduates are highly sought after — the university is joint 7th in the UK and 49th worldwide in QS Graduate Employability rankings. It’s also one of the most targeted by leading UK employers.
In the field of Data Science and AI, Bristol is ranked within the global top 100, showing the university’s strong presence in this fast-growing area.
At the University of Bristol, the BSc Data Science program is built to give you more than just theory—it’s about developing practical skills that prepare you for the workplace from day one. You’ll gain a solid foundation in programming, algorithms, and mathematics, while also applying what you learn to real-world problems through hands-on projects. Thanks to close links with the Bristol Institute for Scientific Computing (BriSC) and strong industry connections, you’ll constantly have opportunities to work with real datasets and cutting-edge technology in collaborative environments.
Experiential learning at Bristol includes:
Practical projects woven into your modules – courses such as Mathematical Tools for Data Science, Advanced Linear Modelling and Classification, and Algorithms and Machine Learning include applied projects where you test and sharpen your skills.
Support from the Bristol Institute for Scientific Computing (BriSC) – giving you access to advanced computational resources and teaching led by active researchers.
An optional paid Year in Industry – where you can spend a year with a leading company, gaining valuable workplace experience, professional skills, and building a strong network of industry contacts.
Small-group tutorials and collaborative projects – designed to boost not only your technical expertise but also your teamwork and communication skills, which are crucial in data-driven careers.
Hands-on training in programming languages – including Python and R, widely used across the tech and data industries for real-world analysis and problem-solving.
Access to world-class libraries and digital resources – with specialist data science materials to support your studies.
Partnerships with industry – for example, LV= General Insurance has an office on campus, creating direct opportunities for collaboration and internships.
Dedicated career support – from placement officers and the University’s award-winning careers service, helping you secure internships, graduate jobs, and professional development opportunities.
This combination of strong academic grounding, exposure to the latest technology, and real professional experience ensures that Bristol’s Data Science graduates are ready to succeed in the fast-changing digital world.
Graduates from the University of Bristol’s BSc Data Science program go on to enjoy fantastic career prospects. Many step straight into exciting, highly skilled roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Analyst. Thanks to the program’s strong focus on mathematics, statistics, and computing, students are fully prepared to apply their skills across a wide range of industries — from pharmaceuticals and healthcare to finance and technology — tackling real-world data challenges with confidence.
To support this journey, Bristol’s Careers Service is there every step of the way. Students benefit from one-to-one career coaching, networking events with employers, help finding internships and placements, and guidance with job applications and interview preparation.
The results speak for themselves: around 88% of Data Science graduates are in work or further study within 15 months, with average starting salaries of about £40,000, and some graduates reaching around £62,500 within five years.
The program also has strong ties with both local and national industry, including the Bristol Institute for Scientific Computing (BriSC). These connections give students the chance to work on real-world projects and build valuable employer links even before graduating.
On top of that, the degree is professionally accredited by the Institute of Mathematics and its Applications (IMA) and the Royal Statistical Society (RSS), providing professional recognition and exemptions from certain exams.
It’s no surprise then that graduate surveys show 70% of students find their work both meaningful and closely connected to what they studied. Many launch successful careers in areas such as IT, finance, consulting, and research, making this program a powerful stepping stone into the fast-growing world of data science.
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