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University of Bristol: Business Analytics
| Institution | University of Bristol View institution profile |
|---|---|
| Department | School of Management |
| Web | https://www.bristol.ac.uk/study/postgraduate |
| choosebristol-pg@bristol.ac.uk | |
| Telephone | +44 (0) 117 394 1649 |
| Study type | Taught |
MSc
Summary
The MSc Business Analytics is a professionally accredited, one-year specialist programme for students aiming to master the latest techniques in descriptive, predictive, and prescriptive analytics. You develop the skills to integrate advanced data analytics with business decision-making, with the ability to bridge the gap between technical expertise and business leadership, and to collaborate effectively with decision-makers in diverse organisational contexts.
Combining rigorous analytical training with practical problem-framing and results communication, you can gain the skills to contribute to data and AI-driven innovation, supporting transformative solutions across competitive industries.
Accredited by the Institute of Analytics (IoA), MSc Business Analytics emphasises professional and ethical standards 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 build analytical expertise and career readiness, the programme offers opportunities to work with the Professional Liaison Network (PLN) on consulting projects, providing hands-on experience with organisations. You'll work on real-world challenges with partners like Barilla, Yeo Valley, Financial Times, IBM, and Bristol Airport. Projects cover topics such as resource allocation, people analytics, customer segmentation, performance measurement, healthcare workforce analysis, and renewable energy systems automation.
You'll also gain experience with a range of decision-support tools such as:
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Python
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R
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MS Excel
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Tableau for data visualisation
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Lingo for ad-hoc analytics.
Alumni and industry panel discussions, guest lectures by business analytics experts from a variety of sectors, career development workshops, and technology sessions on industry tools such as PowerBI, SQL, and @RISK, are integral elements designed to keep you at the forefront of current work practices. Mentorship programmes to connect students with alumni and industry experts.
The programme covers:
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Mastering data identification, extraction, and cleaning techniques to ensure high-quality datasets.
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Applying statistical and machine learning methods for data mining and predictive analytics.
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Formulating and executing statistical and mathematical models to drive optimal business decisions.
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Visualising, interpreting, and communicating the results of statistical analyses to inform decision-making.
Benefit from our guidance to help you achieve professional accreditation from the UK's leading Operational Research Society and other affiliated organisations such as the Alliance of Data Science Professionals.
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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 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, Mathematics, Physics, Commerce (with specialism in Accounting/Finance/Economics). OR If your degree is not listed above, you need a 2:1 or equivalent in two different quantitative units from the Maths qualification 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. Specific module requirements would still apply. 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: - Evidence of relevant work experience (5 years minimum) in Digital Marketing, Data/Business Analytics, Data Science, Data Engineering, Banking and Finance, any other work sectors/experience requiring expertise in business/data analytics/analysis and/or statistics (eg data analyst; human resource/people analytics; retail analytics; logistics, healthcare analytics). Policy analyst and business analyst may also be considered provided you can demonstrate the use of data analytics and/or statistics as part of your work. - A relevant postgraduate qualification. See international equivalent qualifications on the International Office website. |
| Location | Clifton Campus Beacon House Bristol BS8 1QU |
Fees
| England | 19500 GBP for Year 1 |
|---|---|
| Northern Ireland | 19500 GBP for Year 1 |
| Scotland | 19500 GBP for Year 1 |
| Wales | 19500 GBP for Year 1 |
| Channel Islands | 19500 GBP for Year 1 |
| EU | 33900 GBP for Year 1 |
| International | 33900 GBP for Year 1 |
Summary
The MSc Business Analytics is a professionally accredited, one-year specialist programme for graduates with a substantial quantitative component, and those with demonstrable advanced quantitative skills. It will suit graduates or early career professionals aiming for careers in business analytics across sectors such as digital marketing, human resources, logistics, retail, finance, banking, insurance, healthcare, and agriculture.
Accredited by the Institute of Analytics (IoA), this programme aligns with the IoA’s mission to uphold the highest professional and ethical standards in data analytics, enhancing employability in a rapidly evolving industry. The programme is designed in collaboration with industry professionals from IBM, LV, and the UCL/IBM Industry Exchange Network. It offers students hands-on experience through projects addressing real-life managerial challenges, in partnership with organisations such as IBM, NHS, Barilla, and Bristol Airport, among others.
Students will gain a critical understanding of organisational, societal, and ethical issues in the use of Business Analytics, balancing innovation and competitiveness with public trust and corporate social responsibility. Projects include resource allocation optimisation, people analytics, customer segmentation and sentiment analysis, performance measurement in various sectors, healthcare workforce impact analysis, and automation of renewable energy systems.
The programme covers:
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Data preparation skills, including data identification, extraction, and cleaning;
-
Statistical and machine learning techniques for data mining and predictive analytics;
-
Formulation and execution of statistical and mathematical models for business decision optimisation;
-
Visualisation, interpretation, and communication of statistical analysis results.
Students will primarily use Python and software like Lingo for ad-hoc data analytics. Guidance will be provided on achieving professional accreditation from the UK's leading Operational Research Society and other affiliated organisations such as the Alliance of Data Science Professionals.
To further enhance students' analytics profiles and work readiness, students might engage with the Professional Liaison Network (PLN) on consulting projects, providing experience with significant organisations. Alumni panel discussions, virtual industry panels, guest lectures from industry experts, career development workshops, and technology workshops on tools like PowerBI, @RISK, and SQL are integral components designed to keep students updated with the latest industry practices. Mentorship programmes are also being established to connect students with alumni and industry experts.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You will typically need an upper second-class honours degree or an international equivalent in any of the following subjects: Operational Research, Management Science, Decision Science, Mathematics, Statistics, Data Science, Finance (but not Accounting and Finance), Economics, Computer Science, Physics, Engineering, Biomedical/Life Sciences. OR An upper second-class honours degree or international equivalent in any discipline that includes 65% or above in at least two different quantitative units from the list below. Refer to 'Maths for EFM' List C (DSfB, Business Ana) to see suitable modules: See Resource Library for link If you are currently completing a degree, we understand that your final grade may be higher than the interim grades or module/unit grades you have achieved during your studies to date. 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. Specific module requirements would still apply. We will also consider your application if your grades are slightly lower than the programme's entry requirements, if you have at least one of the following: - evidence of significant, relevant work experience (minimum six months) in sectors such as Digital Marketing, Data Science, Data Engineering, Banking and Finance or roles which require expertise in data analytics or statistics (and 65% or above in at least two different relevant modules). If this is the case, please include your CV (curriculum vitae / résumé) when you apply, showing details of your relevant work experience and/or qualifications. Specific module requirements would still apply, which could be met in either undergraduate or postgraduate qualifications. See international equivalent qualifications on the International Office website. |
| Location | Clifton Campus Beacon House Bristol BS8 1QU |
Fees
| England | 19500 GBP for Year 1 |
|---|---|
| Northern Ireland | 19500 GBP for Year 1 |
| Scotland | 19500 GBP for Year 1 |
| Wales | 19500 GBP for Year 1 |
| Channel Islands | 19500 GBP for Year 1 |
| EU | 33000 GBP for Year 1 |
| International | 33000 GBP for Year 1 |
Discover the University of Bristol
Founded in 1876, the University of Bristol is one of the UK’s top 10 universities (QS World University Rankings 2026), with a global reputation for world-leading research and academic excellence. As a member of the prestigious Russell Group of research-intensive universities, Bristol also ranks top five in the UK for research (THE analysis of REF 2021).
With its independent and pioneering spirit, the University has a reputation for doing things differently. Bristol was the UK’s first institute of higher education to admit women on an equal basis with men. In 2019, …
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