Marketing and Consumer Analytics MSc

Brunel University of London

Marketing today is driven by data. Organisations need people who can interpret consumer behaviour, build predictive models and turn insight into action. This course helps you develop those skills, even if you’re new to programming or advanced analytics. You’ll explore marketing theory, consumer behaviour, predictive analytics and applied programming in a business‑focused context. The course bridges the gap between technical data science degrees and traditional marketing programmes, giving you analytical confidence without requiring a technical background. You’ll work with real datasets and industry‑standard tools such as SPSS, R and Python. You’ll learn how to analyse consumer data, build predictive models and translate insights into effective marketing strategies. If you choose the placement or internship route, you’ll apply your learning in a professional setting - from digital agencies and retail brands to consulting firms and tech companies. It’s a chance to gain hands‑on experience, build your network and strengthen your CV before you graduate. By the end of the course, you’ll be ready for roles in marketing analytics, consumer insight, CRM, digital strategy and data‑driven decision‑making.