Curious about studying Business Analytics MScat University of Surrey? We've gathered all the key details—entry requirements, modules, fees, and more. Hear from real students by checking out reviews, or take the next step by booking an open day to explore it for yourself.
MSc - Master of Science
University of Surrey - Stag Hill campus
Part Time
Sep 2026
2 Year
As a business analytics student, you’ll be based in the Surrey Business School and be part of a vibrant community, focused on improving business practice and creating a sustainable and positive change.Prepare to embark on a learning experience that will elevate your analytical prowess and revolutionise the way you approach business challenges. Our highly practical Business Analytics masters degree is designed to mould you into a confident lateral thinker, equipped with the latest theories and hands-on practices that will set you apart from the competition.We understand the importance of blending theory and real-world experience, which is why our masters in Business Analytics is enriched by the wisdom and guidance of inspiring industry experts, who will share their invaluable insights both in the classroom and on-site.The School has a strong focus on research and innovation. Its research centres include the Centre for Business Analytics in Practice, the Centre of Digital Economy, and the Centre for Social Innovation Management. Surrey Business School also has a strong track record of entrepreneurship and enterprise.
This module is the science of examining raw data in order to support businesses and organisations in their decision making. On one hand this module looks at relationships of entities in databases using the Structured Query Language to extract relevant information efficiently. On the other hand it introduces unstructured data concepts. Special focus is given to Big Data providing knowledge, analysis and practical skills to gain additional business and customer insights. Fundamental statistical techniques to extract the essential management information are shown. This module is the foundation for further investigations and a cornerstone of the programme.
The dissertation is compulsory for all MSc students and is the final element of the programme, providing an opportunity for a sustained period of independent study and research. It allows students to concentrate on topics that are of particular interest to them and it draws upon a range of different aspects of the taught programme particularly the Quantitative Methods Induction at the beginning of the module. It also gives an opportunity for students to work independently with individual supervision.
This module is an introduction to the methods of specification, estimation and testing of statistical and econometric models. The techniques are applied to business data making use of the statistical computer packages (e.g. Stata).
Machine Learning & Visualisations are used to gain business insights for decision making. Data will be sliced, diced and visually analysed. Artificial Intelligence and statistical learning will be introduced. Techniques will be used for prediction, estimation or classification.
Management Science is used to solve supply chain (SC) aspects analytically. Techniques examine the Supply Chain?s underlying transportation network which connects suppliers via transhipment nodes to its demand locations. Best locations for warehouses (or transhipment nodes) are determined using quantitative methods. Decision Science is used for in rational decision making under uncertainty. For instance optimal inventory levels are determined for warehouses and manufacturing. All kinds of business activities are optimised to give businesses a competitive advantage by maximising profit and minimising costs.
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