Business Analytics
Basic Information
- Course ID
fe626332-e91e-4fe3-a799-fd52730e9d76- Option ID
51ae0e70-c3d9-44c7-85ea-0cd68d9d11ff- Provider
- University of Bristol
- Type
- postgraduate
- Academic Year
- 2026
- Source
- ucas
- Created
- 2/22/2026, 2:09:08 AM
- Updated
- 3/27/2026, 9:43:13 AM
Other Options for this Course
No other options
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"suggest": "Business Analytics. University of Bristol. Business administration. Business statistics",
"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.\n\nCombining 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.\n\nAccredited 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.\n\nTo 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.\n\nYou'll also gain experience with a range of decision-support tools such as:\n\n\n- Python\n\n\n- R\n\n\n- MS Excel\n\n\n- Tableau for data visualisation\n\n\n- Lingo for ad-hoc analytics.\n\n\nAlumni 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.\n\nThe programme covers:\n\n\n- Mastering data identification, extraction, and cleaning techniques to ensure high-quality datasets.\n\n\n- Applying statistical and machine learning methods for data mining and predictive analytics.\n\n\n- Formulating and executing statistical and mathematical models to drive optimal business decisions.\n\n\n- Visualising, interpreting, and communicating the results of statistical analyses to inform decision-making.\n\n\nBenefit 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.\n\nTeaching 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.",
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