Decisions within companies are increasingly based on the analysis of large volumes of data and the use of analytical models. At the same time, there is a growing need for professionals who can not only apply these models, but also assess their validity and translate the results into concrete actions. Against this backdrop, EBS Universität is expanding its Bachelor’s programme in Business Studies to include the specialisation ‘Business Analytics and AI’. The B.A. programme offers a total of seven specialisations from which students can choose as they progress through their studies. The new specialisation is aimed at students who wish to explore the systematic analysis of business data and the role of AI in decision-making processes.

Topics such as data analysis and artificial intelligence are already integrated into various EBS degree programmes; in the new specialisation, they are systematically brought together and explored in greater depth. In addition to the fundamentals, the programme covers applications in the fields of data analysis, model evaluation and AI-supported decision-making. The aim is to enable students to systematically evaluate data, critically assess analytical models and translate results into concrete recommendations for action.

“Companies are increasingly faced with the challenge of making meaningful use of large amounts of data and deriving sound decisions from it,” says Prof. Dr Henning Werner, Rector of EBS Universität. “This specialisation addresses precisely this interface: it combines analytical methods with business management issues and places particular emphasis on the critical interpretation of results.” 

The course covers, among other things, methods of predictive analytics, approaches to model validation, and applications in the fields of marketing, finance and operations. It also addresses the use of dashboards, forecasting tools and AI-based systems in a business context. A key focus is on the conditions under which analytical models provide reliable insights and how their results can be responsibly integrated into decision-making processes.

The course content is supplemented by case studies and practice-oriented projects. The aim is to develop not only methodological knowledge but also an understanding of the limitations and risks of data-driven analysis. 

Graduates of the specialisation can pursue careers in various data-related fields, including business analytics, marketing analytics, financial analysis and consultancy. Within the broad-based business studies programme, the specialisation thus provides a profile for data-driven roles within organisations. Furthermore, the programme lays the foundation for further study programmes with an analytical focus. The introduction of the specialisation builds on existing analytically oriented degree programmes, including the Master’s in Business Analytics.