MSc Business Analytics
12 monthsProgramme duration
33,900 GBPTuition Fee/year
27 Aug, 2026Application Deadline
SepStarting Month
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 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:
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:
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.
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:
- Python
- R
- MS Excel
- Tableau for data visualisation
- 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:
- 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 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.
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 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:
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:
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.
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:
- Python
- R
- MS Excel
- Tableau for data visualisation
- 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:
- 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 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.
Admission Requirements
7+
67+
3.3+
95+
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:
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.
27 Aug 2026
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
33,900 GBP
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