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MSc Marketing Analytics is a unique course that will prepare you for a career in a growing sector.

Bringing together Southampton Business School’s world-leading expertise in digital marketing and data analytics, MSc Marketing Analytics covers key concepts and techniques that will enable you to manage and analyse big data to inform marketing decisions.

You’ll also learn about cutting-edge areas that only a small number of UK analytics programmes offer, such as text mining and use of data from social networks. Another distinctive feature of the marketing analytics course is the opportunity to learn R and SAS software – both of which are invaluable for a career in analytics.

This one-year MSc Marketing Analytics degree is taught over 12 months. The first nine months are divided into two semesters; during this time you will complete compulsory and optional modules步行者比赛分析. In the final three months you’ll undertake independent research for your dissertation.

The core modules will give you a thorough grounding in areas such as building customer insight, data analytics, web analytics, credit scoring and data mining浦项制铁赛事分析.

MSc Marketing Analytics offers the flexibility to choose three optional modules during the year, allowing you to advance your knowledge in a direction that suits your career ambitions. The options cover subjects including luxury marketing, consultancy skills, forecasting and revenue management. You’ll be able to specialise further through your choice of dissertation topic.

Our students include recent graduates from marketing undergraduate degrees who wish to specialise further, and marketing professionals looking to enhance their skills and move into analytics roles.

All our modules reflect the latest developments in marketing and analytics. For example, this is one of just a few UK analytics programmes to offer a module in the areas of text mining and analysis of social networks. Analytics traditionally uses quantitative data, but new techniques have been developed to exploit the growing volumes of online text data made available by social media. The Text Mining and Social Networks Analysis module will teach you how to extract and analyse text data using R software. This can be useful in enhancing the traditional churn modelling, for example, which predicts whether a customer might be looking elsewhere for a better deal, allowing a company to offer incentives to retain their business.

Consumers’ choices or actions may be influenced by members of their online social networks; you’ll also learn how to analyse activity in these networks to predict customer behaviour.