Business and Data Science

Business and data science is a combination designed for a world in which the ability to collect, analyse, and interpret large quantities of data has become as important to organisational success as traditional management skills. Businesses in every sector generate vast amounts of data about their customers, operations, supply chains, and markets, and the professionals who can make sense of that data and translate insights into strategy are increasingly valuable. This programme gives you both the quantitative and technical foundations of data science and the strategic and organisational understanding of business management, preparing you to operate at the intersection of the two.

At Regent's University London, you will study this three-year full-time programme, developing skills in data analysis, statistical modelling, machine learning, and programming alongside modules in business strategy, marketing, finance, and entrepreneurship. The programme also includes a year abroad, giving you the opportunity to study business and data science in an international context, which is particularly relevant in fields where both technology and business practice vary significantly between markets. Regent's international student community and London location provide a cosmopolitan environment that itself reflects the globally interconnected business landscape you will enter as a graduate.

Graduates of business and data science programmes move into roles at the intersection of analytics and management. Data analyst, business analyst, and business intelligence roles are common entry points, with career development leading to positions in strategy, operations, and senior management. The technology sector, financial services, retail, healthcare, and consulting are all active employers of graduates with this profile.

Some graduates build careers in data science proper, deepening their technical skills through postgraduate study or specialised professional development. Others use their business understanding to move into general management, carrying their data literacy as a competitive advantage throughout their careers.