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The MSc Business Analytics is a professionally accredited, one-year specialist programme designed for students aiming to leverage and master the latest techniques in descriptive, predictive, and prescriptive analytics. It develops the skills required to integrate advanced data analytics with business decision-making, equipping graduates with the ability to bridge the gap between technical expertise and business leadership, preparing them to collaborate effectively with decision-makers in diverse organisational contexts. By combining rigorous analytical training with practical problem-framing and results communication, graduates gain the skills to contribute to data and AI-driven innovation, supporting transformative solutions across competitive industries.
Accredited by the Institute of Analytics (IoA), this programme emphasises professional and ethical standards in business analytics while enhancing employability. Designed with industry insights from leading organisations such as IBM, NHS, Amazon, and Barilla Group, and enriched by alumni feedback, it delivers a cutting-edge education.
To enhance students' analytical expertise and career readiness, the programme offers opportunities to engage with the Professional Liaison Network (PLN) on consulting projects, providing hands-on experience with organisations. Students engage in practical, real-world projects with partners who have previously included Barilla, Yeo Valley, Financial Times, IBM, and Bristol Airport, tackling managerial challenges in dynamic industries. These projects span topics such as resource allocation optimisation, people analytics, customer segmentation, performance measurement, healthcare workforce impact analysis, and renewable energy systems automation.
Students will gain hands-on experience with a range of decision-support tools, such as Python, R, MS Excel, Tableau for data visualisation, and Lingo for ad-hoc analytics, ensuring they are well-prepared to adapt to evolving technologies in the field.
Alumni and industry panel discussions, guest lectures by business analytics experts from a variety of sectors, career development workshops, and technology sessions on industry-standard tools such as PowerBI, @RISK, and SQL are integral elements designed to keep students at the forefront of current work practices. Mentorship programmes are also established to connect students with alumni and industry experts.
The programme covers:
Mastering data identification, extraction, and cleaning techniques to ensure high-quality datasets.
Applying statistical and machine learning methods for data mining and predictive analytics.
Formulating and executing statistical and mathematical models to drive optimal business decisions.
Visualising, interpreting, and effectively communicating the results of statistical analyses to inform decision-making.
Our students can also benefit from guidance we provide to help them achieve professional accreditation from the UK's leading Operational Research Society and other affiliated organisations such as the Alliance of Data Science Professionals.
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc Business Analytics is a professionally accredited, one-year specialist programme designed for students aiming to leverage and master the latest techniques in descriptive, predictive, and prescriptive analytics. It develops the skills required to integrate advanced data analytics with business decision-making, equipping graduates with the ability to bridge the gap between technical expertise and business leadership, preparing them to collaborate effectively with decision-makers in diverse organisational contexts. By combining rigorous analytical training with practical problem-framing and results communication, graduates gain the skills to contribute to data and AI-driven innovation, supporting transformative solutions across competitive industries.
Accredited by the Institute of Analytics (IoA), this programme emphasises professional and ethical standards in business analytics while enhancing employability. Designed with industry insights from leading organisations such as IBM, NHS, Amazon, and Barilla Group, and enriched by alumni feedback, it delivers a cutting-edge education.
To enhance students' analytical expertise and career readiness, the programme offers opportunities to engage with the Professional Liaison Network (PLN) on consulting projects, providing hands-on experience with organisations. Students engage in practical, real-world projects with partners who have previously included Barilla, Yeo Valley, Financial Times, IBM, and Bristol Airport, tackling managerial challenges in dynamic industries. These projects span topics such as resource allocation optimisation, people analytics, customer segmentation, performance measurement, healthcare workforce impact analysis, and renewable energy systems automation.
Students will gain hands-on experience with a range of decision-support tools, such as Python, R, MS Excel, Tableau for data visualisation, and Lingo for ad-hoc analytics, ensuring they are well-prepared to adapt to evolving technologies in the field.
Alumni and industry panel discussions, guest lectures by business analytics experts from a variety of sectors, career development workshops, and technology sessions on industry-standard tools such as PowerBI, @RISK, and SQL are integral elements designed to keep students at the forefront of current work practices. Mentorship programmes are also established to connect students with alumni and industry experts.
The programme covers:
Mastering data identification, extraction, and cleaning techniques to ensure high-quality datasets.
Applying statistical and machine learning methods for data mining and predictive analytics.
Formulating and executing statistical and mathematical models to drive optimal business decisions.
Visualising, interpreting, and effectively communicating the results of statistical analyses to inform decision-making.
Our students can also benefit from guidance we provide to help them achieve professional accreditation from the UK's leading Operational Research Society and other affiliated organisations such as the Alliance of Data Science Professionals.
Admission Requirements
67+
3.3+
95+
7+
An upper second-class undergraduate honours degree or international equivalent.
25 Jul 2025
1 Year
Sep
Candidates are required to submit references or letter(s) of recommendation for acceptance
Candidates are required to submit an essay(s) for acceptance
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 Business Analytics
12 monthsProgramme duration
33,000 GBPTuition Fee/year
25 Jul, 2025Application Deadline
Business AnalyticsMain Subject Area
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Accredited by the Institute of Analytics (IoA), this programme emphasises professional and ethical standards in business analytics while enhancing employability. Designed with industry insights from leading organisations such as IBM, NHS, Amazon, and Barilla Group, and enriched by alumni feedback, it delivers a cutting-edge education.
To enhance students' analytical expertise and career readiness, the programme offers opportunities to engage with the Professional Liaison Network (PLN) on consulting projects, providing hands-on experience with organisations. Students engage in practical, real-world projects with partners who have previously included Barilla, Yeo Valley, Financial Times, IBM, and Bristol Airport, tackling managerial challenges in dynamic industries. These projects span topics such as resource allocation optimisation, people analytics, customer segmentation, performance measurement, healthcare workforce impact analysis, and renewable energy systems automation.
Students will gain hands-on experience with a range of decision-support tools, such as Python, R, MS Excel, Tableau for data visualisation, and Lingo for ad-hoc analytics, ensuring they are well-prepared to adapt to evolving technologies in the field.
Alumni and industry panel discussions, guest lectures by business analytics experts from a variety of sectors, career development workshops, and technology sessions on industry-standard tools such as PowerBI, @RISK, and SQL are integral elements designed to keep students at the forefront of current work practices. Mentorship programmes are also established to connect students with alumni and industry experts.
The programme covers:
Our students can also benefit from guidance we provide to help them achieve professional accreditation from the UK's leading Operational Research Society and other affiliated organisations such as the Alliance of Data Science Professionals.
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Accredited by the Institute of Analytics (IoA), this programme emphasises professional and ethical standards in business analytics while enhancing employability. Designed with industry insights from leading organisations such as IBM, NHS, Amazon, and Barilla Group, and enriched by alumni feedback, it delivers a cutting-edge education.
To enhance students' analytical expertise and career readiness, the programme offers opportunities to engage with the Professional Liaison Network (PLN) on consulting projects, providing hands-on experience with organisations. Students engage in practical, real-world projects with partners who have previously included Barilla, Yeo Valley, Financial Times, IBM, and Bristol Airport, tackling managerial challenges in dynamic industries. These projects span topics such as resource allocation optimisation, people analytics, customer segmentation, performance measurement, healthcare workforce impact analysis, and renewable energy systems automation.
Students will gain hands-on experience with a range of decision-support tools, such as Python, R, MS Excel, Tableau for data visualisation, and Lingo for ad-hoc analytics, ensuring they are well-prepared to adapt to evolving technologies in the field.
Alumni and industry panel discussions, guest lectures by business analytics experts from a variety of sectors, career development workshops, and technology sessions on industry-standard tools such as PowerBI, @RISK, and SQL are integral elements designed to keep students at the forefront of current work practices. Mentorship programmes are also established to connect students with alumni and industry experts.
The programme covers:
Our students can also benefit from guidance we provide to help them achieve professional accreditation from the UK's leading Operational Research Society and other affiliated organisations such as the Alliance of Data Science Professionals.
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
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MSc Public Policy
MSc Social Science Research Methods (Politics)
MSc Social Science Research Methods (Politics)
MSc Social Science Research Methods (Sociology)
MSc Social Science Research Methods (Sociology)
MSc Social Work
MSc Social Work
MSc Social Work Research
MSc Social Work Research
MSc Social and Cultural Theory
MSc Social and Cultural Theory
MSc Society, Politics and Climate Change
MSc Society, Politics and Climate Change
MSc Socio-Legal Studies
MSc Socio-Legal Studies
MSc Sociology
MSc Sociology
MSc Teaching English to Speakers of Other Languages (TESOL)
MSc Teaching English to Speakers of Other Languages (TESOL)
MSc Nutrition, Physical Activity and Public Health
MSc Nutrition, Physical Activity and Public Health
Arts and Humanities (6)
PhD Anthropology and Archaeology
PhD Anthropology and Archaeology
PhD Classics and Ancient History
PhD Classics and Ancient History
PhD Creative Writing
PhD Creative Writing
PhD English Literature
PhD English Literature
PhD French
PhD French
PhD German
PhD German
PhD Hispanic, Portuguese and Latin American Studies
PhD History
PhD History of Art
PhD Italian
PhD Linguistics
PhD Medieval Studies
PhD Music
PhD Philosophy
PhD Religion and Theology
PhD Russian
PhD Theatre and Performance
PhD Translation
PhD Comparative Literatures and Cultures
Business and Management (6)
PhD Accounting and Finance
PhD Accounting and Finance
PhD Economics
PhD Economics
PhD Innovation and Entrepreneurship
PhD Innovation and Entrepreneurship
PhD Management
PhD Management
Engineering and Technology (6)
PhD Aerospace Engineering
PhD Aerospace Engineering
PhD Civil Engineering
PhD Civil Engineering
PhD Computer Science
PhD Computer Science
PhD Cyber Security (Cyber Secure Everywhere)
PhD Cyber Security (Cyber Secure Everywhere)
PhD Electrical and Electronic Engineering
PhD Electrical and Electronic Engineering
PhD Engineering Biology
PhD Engineering Biology
PhD Geographic Data Science
PhD Mechanical Engineering
PhD Practice-Oriented Artificial Intelligence
PhD Quantum Information Science and Technologies
Life Sciences and Medicine (6)
DEdPsy Educational Psychology
DEdPsy Educational Psychology
PhD Biochemistry
PhD Biochemistry
PhD Biological Sciences
PhD Biological Sciences
PhD Cellular and Molecular Medicine
PhD Cellular and Molecular Medicine
PhD Disability Studies
PhD Disability Studies
PhD Exercise, Nutrition and Health
PhD Exercise, Nutrition and Health
PhD Oral and Dental Sciences
PhD Physiology, Pharmacology and Neuroscience
PhD Population Health Sciences
PhD Psychology
PhD Translational Health Sciences
PhD Veterinary Sciences
PhD Health and Wellbeing
Natural Sciences (6)
EngD Composites Manufacture
EngD Composites Manufacture
PhD Advanced Composites
PhD Advanced Composites
PhD Aerosol Science
PhD Aerosol Science
PhD Chemistry
PhD Chemistry
PhD Earth Sciences
PhD Earth Sciences
PhD Engineering Mathematics
PhD Engineering Mathematics
PhD Geographical Sciences (Human Geography)
PhD Geographical Sciences (Physical Geography)
PhD Mathematics
PhD Physics
PhD Superconductivity
PhD Technology Enhanced Chemical Synthesis
PhD Sustainable Futures
Social Sciences and Management (6)
PhD East Asian Studies
PhD East Asian Studies
PhD Education
PhD Education
PhD Global Challenges and Transformations
PhD Global Challenges and Transformations
PhD Law
PhD Law
PhD Politics
PhD Politics
PhD Social Policy
PhD Social Policy
PhD Social Work
PhD Sociology
PhD Sociotechnical Futures and Digital Methods
PhD Film and Television
MSc Business Analytics
Videos & media
Videos & media