MSc Artificial Intelligence for Business
12 monthsProgramme duration
34,000 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 Artificial Intelligence for Business is an interdisciplinary programme designed to prepare you for leadership in the design, implementation, and evaluation of AI technologies in complex and evolving business environments.
Drawing on expertise from the University of Bristol Business School, the Faculty of Science and Engineering (FSE), and the Faculty of Arts, Law and Social Sciences (FALSS), the programme combines technical knowledge with managerial insight to meet the growing demand for professionals who can bridge the gap between AI systems and business value. You will gain a solid grounding in the core principles and technologies of artificial intelligence, including data engineering, machine learning, and large-scale computing, while also exploring their application in business domains.
The programme emphasises a contextualised understanding of AI's role in business, encouraging students to move beyond simply learning the technical tools to critically examine their practical impact, commercial viability, and long-term sustainability within different organisational and societal contexts.
Ethical reasoning and critical awareness are core to the curriculum, examining the societal consequences of AI adoption, and you will be encouraged to think reflexively about the trade-offs and responsibilities associated with AI-driven innovation.
The programme fosters practical skills through hands-on lab sessions, cloud-based platforms, and industry-standard tools. You will not only develop proficiency in applying these tools to real-world business problems, but will also critically evaluate their strengths, limitations, and appropriateness for different tasks and contexts. A strong emphasis is placed on applied learning, including a supervised applied research project or dissertation. You can choose to explore entrepreneurial challenges, partner with external organisations, or pursue independent research under academic guidance.
By the end of the programme, you will be capable of working across disciplinary and professional boundaries, assessing emerging technologies, and contributing to strategic decision-making processes. The MSc Artificial Intelligence for Business aligns with the University's Bristol Futures Curriculum by supporting the development of global citizenship, digital agility, interdisciplinary thinking, and leadership for an AI-augmented future.
Highlights of the programme include:
The University of Bristol is the host of the Isambard-AI, the UK's most powerful AI supercomputer ranked 11th fastest in the world. It is a national facility for AI research and is designed to help solve some of the biggest problems in the world today with AI. For suitable research projects that align with the purpose of the supercomputer, students on this programme may be allowed to access some compute time on Isambard-AI.
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.
Drawing on expertise from the University of Bristol Business School, the Faculty of Science and Engineering (FSE), and the Faculty of Arts, Law and Social Sciences (FALSS), the programme combines technical knowledge with managerial insight to meet the growing demand for professionals who can bridge the gap between AI systems and business value. You will gain a solid grounding in the core principles and technologies of artificial intelligence, including data engineering, machine learning, and large-scale computing, while also exploring their application in business domains.
The programme emphasises a contextualised understanding of AI's role in business, encouraging students to move beyond simply learning the technical tools to critically examine their practical impact, commercial viability, and long-term sustainability within different organisational and societal contexts.
Ethical reasoning and critical awareness are core to the curriculum, examining the societal consequences of AI adoption, and you will be encouraged to think reflexively about the trade-offs and responsibilities associated with AI-driven innovation.
The programme fosters practical skills through hands-on lab sessions, cloud-based platforms, and industry-standard tools. You will not only develop proficiency in applying these tools to real-world business problems, but will also critically evaluate their strengths, limitations, and appropriateness for different tasks and contexts. A strong emphasis is placed on applied learning, including a supervised applied research project or dissertation. You can choose to explore entrepreneurial challenges, partner with external organisations, or pursue independent research under academic guidance.
By the end of the programme, you will be capable of working across disciplinary and professional boundaries, assessing emerging technologies, and contributing to strategic decision-making processes. The MSc Artificial Intelligence for Business aligns with the University's Bristol Futures Curriculum by supporting the development of global citizenship, digital agility, interdisciplinary thinking, and leadership for an AI-augmented future.
Highlights of the programme include:
- Its interdisciplinary approach, with teaching across two Faculties to deliver a programme that combines technical knowledge and business learning.
- A choice of units to support how technical or contextual you wish to be in your career aspirations.
- A distinction from related courses such as MSc Business Analytics and MSc Data Science for Business, with only one shared unit (EMATM0051 Large Scale Data Engineering). Unlike many competitor offerings, which often repurpose existing data analytics modules, this programme has been developed with a dedicated focus on AI.
- Its high degree of industry engagement from conception through to delivery.
- Its location, with the Business School and parts of Science and Engineering co-locating in the new University of Bristol Temple Quarter Enterprise Campus, a state-of-the-art, interdisciplinary facility with industry presence.
The University of Bristol is the host of the Isambard-AI, the UK's most powerful AI supercomputer ranked 11th fastest in the world. It is a national facility for AI research and is designed to help solve some of the biggest problems in the world today with AI. For suitable research projects that align with the purpose of the supercomputer, students on this programme may be allowed to access some compute time on Isambard-AI.
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 Artificial Intelligence for Business is an interdisciplinary programme designed to prepare you for leadership in the design, implementation, and evaluation of AI technologies in complex and evolving business environments.
Drawing on expertise from the University of Bristol Business School, the Faculty of Science and Engineering (FSE), and the Faculty of Arts, Law and Social Sciences (FALSS), the programme combines technical knowledge with managerial insight to meet the growing demand for professionals who can bridge the gap between AI systems and business value. You will gain a solid grounding in the core principles and technologies of artificial intelligence, including data engineering, machine learning, and large-scale computing, while also exploring their application in business domains.
The programme emphasises a contextualised understanding of AI's role in business, encouraging students to move beyond simply learning the technical tools to critically examine their practical impact, commercial viability, and long-term sustainability within different organisational and societal contexts.
Ethical reasoning and critical awareness are core to the curriculum, examining the societal consequences of AI adoption, and you will be encouraged to think reflexively about the trade-offs and responsibilities associated with AI-driven innovation.
The programme fosters practical skills through hands-on lab sessions, cloud-based platforms, and industry-standard tools. You will not only develop proficiency in applying these tools to real-world business problems, but will also critically evaluate their strengths, limitations, and appropriateness for different tasks and contexts. A strong emphasis is placed on applied learning, including a supervised applied research project or dissertation. You can choose to explore entrepreneurial challenges, partner with external organisations, or pursue independent research under academic guidance.
By the end of the programme, you will be capable of working across disciplinary and professional boundaries, assessing emerging technologies, and contributing to strategic decision-making processes. The MSc Artificial Intelligence for Business aligns with the University's Bristol Futures Curriculum by supporting the development of global citizenship, digital agility, interdisciplinary thinking, and leadership for an AI-augmented future.
Highlights of the programme include:
The University of Bristol is the host of the Isambard-AI, the UK's most powerful AI supercomputer ranked 11th fastest in the world. It is a national facility for AI research and is designed to help solve some of the biggest problems in the world today with AI. For suitable research projects that align with the purpose of the supercomputer, students on this programme may be allowed to access some compute time on Isambard-AI.
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.
Drawing on expertise from the University of Bristol Business School, the Faculty of Science and Engineering (FSE), and the Faculty of Arts, Law and Social Sciences (FALSS), the programme combines technical knowledge with managerial insight to meet the growing demand for professionals who can bridge the gap between AI systems and business value. You will gain a solid grounding in the core principles and technologies of artificial intelligence, including data engineering, machine learning, and large-scale computing, while also exploring their application in business domains.
The programme emphasises a contextualised understanding of AI's role in business, encouraging students to move beyond simply learning the technical tools to critically examine their practical impact, commercial viability, and long-term sustainability within different organisational and societal contexts.
Ethical reasoning and critical awareness are core to the curriculum, examining the societal consequences of AI adoption, and you will be encouraged to think reflexively about the trade-offs and responsibilities associated with AI-driven innovation.
The programme fosters practical skills through hands-on lab sessions, cloud-based platforms, and industry-standard tools. You will not only develop proficiency in applying these tools to real-world business problems, but will also critically evaluate their strengths, limitations, and appropriateness for different tasks and contexts. A strong emphasis is placed on applied learning, including a supervised applied research project or dissertation. You can choose to explore entrepreneurial challenges, partner with external organisations, or pursue independent research under academic guidance.
By the end of the programme, you will be capable of working across disciplinary and professional boundaries, assessing emerging technologies, and contributing to strategic decision-making processes. The MSc Artificial Intelligence for Business aligns with the University's Bristol Futures Curriculum by supporting the development of global citizenship, digital agility, interdisciplinary thinking, and leadership for an AI-augmented future.
Highlights of the programme include:
- Its interdisciplinary approach, with teaching across two Faculties to deliver a programme that combines technical knowledge and business learning.
- A choice of units to support how technical or contextual you wish to be in your career aspirations.
- A distinction from related courses such as MSc Business Analytics and MSc Data Science for Business, with only one shared unit (EMATM0051 Large Scale Data Engineering). Unlike many competitor offerings, which often repurpose existing data analytics modules, this programme has been developed with a dedicated focus on AI.
- Its high degree of industry engagement from conception through to delivery.
- Its location, with the Business School and parts of Science and Engineering co-locating in the new University of Bristol Temple Quarter Enterprise Campus, a state-of-the-art, interdisciplinary facility with industry presence.
The University of Bristol is the host of the Isambard-AI, the UK's most powerful AI supercomputer ranked 11th fastest in the world. It is a national facility for AI research and is designed to help solve some of the biggest problems in the world today with AI. For suitable research projects that align with the purpose of the supercomputer, students on this programme may be allowed to access some compute time on Isambard-AI.
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
95+
71+
7+
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 below.
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 below.
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.
English language requirements
If English is not your first language, you will need to reach the requirements outlined in our profile level B.
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
27 Aug 2026
1 Year
Sep
- Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic
18,400 GBP
International
34,000 GBP
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