Business Analytics

**Develop the modelling and consulting skills needed to understand, manage and communicate insights from big data on this immersive, full-time master’s in Business Analytics.**<br/><br/>Often referred to as the oil of the 21st Century, business analytics is an area that’s critical to business and organisational success. It’s a rapidly developing field with a shortage of specialists – making it ripe with career opportunities.<br/><br/>Join us on this interactive master’s to develop a firm grounding in key modelling skills and managing data sets of all sizes. You’ll get to grips with managerial decision making, delivering consultancy projects and using analytics to understand customers and improve business operations.<br/><br/>Importantly, you’ll also learn to communicate and present your findings and recommendations to stakeholders across a business – a skill that will make you invaluable as an analytics expert.<br/><br/>Learn from real-world insights and expertise<br/>Working with our internationally recognised management scientists and active researchers, you’ll gain real-world insights into tackling routine, strategic and policy challenges across business, government and non-profit organisations.<br/><br/>Guest lectures and workshops with practitioners from companies such as IBM as well as UK government departments give the programme an industry-relevant practical focus.<br/><br/>Hone your skills on your own in-depth project<br/>Put your skills into practice during the final term on a supervised consulting or research project with organisations such as npower, Dstl and Defra. It’s a chance to apply powerful tools such as data mining, forecasting, optimisation, simulation and decision analysis to a particular area of business or policy you’re interested in.<br/><br/>By the end of your time with us, you’ll be armed with a sought-after mix of modelling, consultancy and communication skills – ready to excel as a management consultant, business analyst, policy analyst, marketing researcher, operations researcher, or in other data scientist roles.