MSc Data Science for Business
12 monthsProgramme duration
33,900 GBPTuition Fee/year
27 Aug, 2026Application Deadline
SepStarting Month
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.
Teaching for this postgraduate programme will be delivered at our new Temple Quarter Enterprise Campus, opening 2026. Here, enhanced links with industry and collaborative learning spaces will provide students with real-world knowledge, networks and skills to succeed once you graduate. Depending on your choice of optional units, you may also be taught on the Clifton 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.
Teaching for this postgraduate programme will be delivered at our new Temple Quarter Enterprise Campus, opening 2026. Here, enhanced links with industry and collaborative learning spaces will provide students with real-world knowledge, networks and skills to succeed once you graduate. Depending on your choice of optional units, you may also be taught on the Clifton Campus.
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.
Teaching for this postgraduate programme will be delivered at our new Temple Quarter Enterprise Campus, opening 2026. Here, enhanced links with industry and collaborative learning spaces will provide students with real-world knowledge, networks and skills to succeed once you graduate. Depending on your choice of optional units, you may also be taught on the Clifton 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.
Teaching for this postgraduate programme will be delivered at our new Temple Quarter Enterprise Campus, opening 2026. Here, enhanced links with industry and collaborative learning spaces will provide students with real-world knowledge, networks and skills to succeed once you graduate. Depending on your choice of optional units, you may also be taught on the Clifton Campus.
Admission Requirements
71+
7+
95+
176+
You will typically need an upper second-class honours degree or an international equivalent in a quantitative subject (whether as a single, joint or combined honours degree) such as Accounting and Finance, Actuarial Sciences, Computer Science, Data Science, Economics, Engineering, Finance, International Economics and Trade, Maths, Physics or Commerce (with specialism in Accounting/Finance/Accounting and Finance/Economics).
If your degree is not listed above, you will need to demonstrate maths ability with one quantitative unit at 60% or above (UK equivalent) or international equivalent from the Quantitative unit requirements list below.
OR
A-level Mathematics with grade A if no mathematics or quantitative units in your degree.
We will consider your application if your interim grades are currently slightly lower than the programme's entry requirements and may make you an aspirational offer. This offer would be at the standard level, so you would need to achieve the standard entry requirements by the end of your degree.
If your achieved grade is lower than our entry requirements, your application may be more likely to receive an offer if you have additional relevant work experience or qualifications. If you have at least one of the following, please include your CV (curriculum vitae/résumé) when you apply, showing:
If your degree is not listed above, you will need to demonstrate maths ability with one quantitative unit at 60% or above (UK equivalent) or international equivalent from the Quantitative unit requirements list below.
OR
A-level Mathematics with grade A if no mathematics or quantitative units in your degree.
We will consider your application if your interim grades are currently slightly lower than the programme's entry requirements and may make you an aspirational offer. This offer would be at the standard level, so you would need to achieve the standard entry requirements by the end of your degree.
If your achieved grade is lower than our entry requirements, your application may be more likely to receive an offer if you have additional relevant work experience or qualifications. If you have at least one of the following, please include your CV (curriculum vitae/résumé) when you apply, showing:
- 5 years' relevant work experience such as in Business and Corporate Management, Finance and Accounting, Marketing and Sales, Operations and Logistics, Public Sector or Nonprofit Administration, Human Resources, Project Management, Data and Analytics, Engineering, Technology, Design, Creative industries, Innovation-related roles.
- a relevant postgraduate qualification.
Quantitative unit requirements
- Algebra/Linear Algebra/Calculus
- Complex Functions/Systems
- Data including Mining/Science/Analytics
- Differential Equations/Ordinary Differential Equations
- Financial Maths/Modelling, Game Theory
- Geometry/Geotechnical
- Maths for Business/Economics
- Advanced/Decision/Discrete/Forecasting/Method/Modelling/Programming/Pure
- Number Theory
- Optimisation
- Probability (including stochastic models/methods)/Proof
- Statistics including Methods/Analysis
- Computational Methods (including in the social sciences and research)
- Computer Science (incl programming/algorithms/physical computing)
- Electronic/Electrical Engineering/Electricity Magnetism
- Engineering including Materials/Structural
- Experiment (e.g. experimental design, studies or research; control trials)
- Management Science/ Network Science
- Mechanics (any type of mechanics) /Mechatronics
- Physics (all types of physics)
- Quantum Computing/Mechanics
- System dynamics /Thermodynamics
- Analysis/Business Analytics/Analytical chemistry/Multi Variate Analysis /Social network analysis/Time Series Analysis / Bayesian Modelling
- Decision Analysis and Simulation/Decision Science
- Derivatives
- Econometrics
- Equilibrium/Information Theory/Kinematics/Kinetics/Machine learning/Operational research/Optimisation,
- Macroeconomics/Microeconomics (also called Economics III/IV)
- Quantitative Methods
- Research methods/techniques including health/medical/biomedical/natural sciences
- Robotics/Simulation
English language requirements
If English is not your first language, you will need to reach the requirements outlined in our profile level B.
27 Aug 2026
1 Year
Sep
- Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic
19,500 GBP
International
33,900 GBP
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