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The MSc Data Science for Business is an interdisciplinary programme that combines the University of Bristol Business School and the School of Engineering Maths and Technology. It is designed for recent graduates aiming to navigate and shape a data-driven world. Over one year of full-time study, you will learn to manage and analyse large datasets and develop different digital skills to directly apply in business contexts.
This programme offers a balanced curriculum in data science and business strategies, allowing you to find your specialism in Sustainability, Marketing, Supply Chain Management, or Finance. You will gain both the practical skills and strategic knowledge to tackle real-world business challenges as well as a competitive advantage in your future career.
Throughout the year, you will benefit from our advanced industry links through guest lectures and the opportunity to participate in live consulting projects. This programme is suitable for graduates from diverse educational backgrounds, including non-business and business-related fields, helping bridge the gap between your qualifications and the digital skills demanded by industry.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc Data Science for Business is an interdisciplinary programme that combines the University of Bristol Business School and the School of Engineering Maths and Technology. It is designed for recent graduates aiming to navigate and shape a data-driven world. Over one year of full-time study, you will learn to manage and analyse large datasets and develop different digital skills to directly apply in business contexts.
This programme offers a balanced curriculum in data science and business strategies, allowing you to find your specialism in Sustainability, Marketing, Supply Chain Management, or Finance. You will gain both the practical skills and strategic knowledge to tackle real-world business challenges as well as a competitive advantage in your future career.
Throughout the year, you will benefit from our advanced industry links through guest lectures and the opportunity to participate in live consulting projects. This programme is suitable for graduates from diverse educational backgrounds, including non-business and business-related fields, helping bridge the gap between your qualifications and the digital skills demanded by industry.
Admission Requirements
71+
95+
7+
You will typically need an upper second-class honours degree or an international equivalent in: Biomedical/Health and Life Sciences, Computer Science, Data Science, Decision Science, Economics, Engineering, Finance (but not Accounting and Finance), Management, Mathematics, Operational Research, Physics, Statistics. OR if your degree subject is not listed above, you must have evidence of one quantitative unit at 65% (or international equivalent).
25 Jul 2025
1 Year
Sep
Tuition fees
Domestic
19,500 GBP
International
33,000 GBP
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc Data Science for Business
# 51-100QS Subject Rankings
12 monthsProgramme duration
33,000 GBPTuition Fee/year
25 Jul, 2025Application Deadline
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This programme offers a balanced curriculum in data science and business strategies, allowing you to find your specialism in Sustainability, Marketing, Supply Chain Management, or Finance. You will gain both the practical skills and strategic knowledge to tackle real-world business challenges as well as a competitive advantage in your future career.
Throughout the year, you will benefit from our advanced industry links through guest lectures and the opportunity to participate in live consulting projects. This programme is suitable for graduates from diverse educational backgrounds, including non-business and business-related fields, helping bridge the gap between your qualifications and the digital skills demanded by industry.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This programme offers a balanced curriculum in data science and business strategies, allowing you to find your specialism in Sustainability, Marketing, Supply Chain Management, or Finance. You will gain both the practical skills and strategic knowledge to tackle real-world business challenges as well as a competitive advantage in your future career.
Throughout the year, you will benefit from our advanced industry links through guest lectures and the opportunity to participate in live consulting projects. This programme is suitable for graduates from diverse educational backgrounds, including non-business and business-related fields, helping bridge the gap between your qualifications and the digital skills demanded by industry.
Admission Requirements
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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