Course summary
If you want to improve the world through the responsible use of data, the MSc in Data Science will give you the skills to do so. You will learn how to understand, in depth, the computational and statistical principles of modern data science and be skilled at the rigorous and ethical application of these techniques to real-world challenges. Whether you have a background in numerate sciences, engineering, or computer science, the programme will provide you with the skills to succeed in this exciting and fast-moving discipline. It will equip you with excellent employment prospects to pursue roles in industry as either a data scientist or data engineer as well as for research and development roles. This MSc aims to:
- Equip you with the ability to work across disciplinary boundaries in the effective application and deployment of data-intensive solutions in a variety of contexts.
- Give you a breadth and depth of knowledge and skills in computational, machine learning, and statistical principles and the capability for insightful large-scale data analysis, so you will be able to specify and implement analytical pipelines for real-world data at scale.
- Provide you with a good understanding of the ethical issues in the application of contemporary data science techniques to real-world challenges, including arguments about the risks, benefits and disadvantages arising from the deployment of these technologies.
- Enable you to independently initiate data science projects specified at a high-level perspective, leading them from scoping onward to completion, while exercising appropriate project management methods and maintaining stakeholder engagement.
Assessment method
https://www.bristol.ac.uk/study/media/postgraduate/admissions-statements/2025/msc-data-science.pdf
How to apply
International applicants
The University of Bristol welcomes applications from international students and accepts a wide range of qualifications for postgraduate study. If you study or have studied at a university outside the UK, please select the relevant page for further information on qualifications, scholarships and education representatives in your country/region: bristol.ac.uk/international/countries
Entry requirements
You will typically need a strong upper second-class honours degree (65% or higher) or an international equivalent in a Numerate Science, Computer Science, or Engineering. Other acceptable subjects include, but are not limited to: - Accounting - Astrophysics - Biology - Chemistry - Econometrics - Economics - Finance - Genetics - Geology / Earth Sciences - Medicine - Neuroscience - Operations Research - Physics - Psychology We will also consider your application if your final overall achieved grade is slightly lower than the programme's entry requirement. If you have at least one of the following, please include your CV (curriculum vitae / résumé) when you apply, showing details of your relevant qualifications: evidence of significant, relevant paid work experience (minimum 2 years full-time or part-time equivalent) in a technical role, such as data analyst, data engineer, data scientist, quantitative analyst or software developer/engineer; a relevant postgraduate qualification. See international equivalent qualifications on the International Office website. https://www.bristol.ac.uk/international/countries/
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to an 8% increase in fees each year.
For more information, please view the programme page on our website.
Provider information
University of Bristol
Beacon House
Queen’s Road
Bristol
BS8 1QU