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Frankfurt am Main, 24.06.2024 12:00:00

Technological change, digitalisation and the use of artificial intelligence (AI) pose major challenges for companies: How can they exploit potential, develop new business models and realise efficiencies? And above all, where can they find talented people with the right skills – those who recognise opportunities and develop new products or services? The current university ranking by Wirtschaftswoche (WiWo) sees Frankfurt School graduates very well positioned in this respect. In business informatics, Frankfurt School improved to 7th place (8th place last year), making it the best private university. In business administration, the business school confirms its third place from 2023. The ranking takes into account all German universities and is based on assessments by HR managers at German companies.

Data science and data analytics programmes at Frankfurt School

Frankfurt School's Bachelor in Computational Business Analytics combines technical data science knowledge with profound expertise in management. The Master in Applied Data Science is about the understanding of data science applied to solve real-world business challenges, and in the Master in Data Analytics & Management students acquire skills in big data, digital transformation, disruptive/new business models, communication and leadership, which are all required to manage digital transformation in an ever-changing world.

In addition, Frankfurt School is home to the Frankfurt School Blockchain Centre, a hub for blockchain and crypto assets that is renowned throughout Europe.

Relevant, AI-based research

Academics at Frankfurt School are demonstrating the benefits that AI can bring in their research. For example, Professor Matthias Mahlendorf, Professor of Managerial Accounting, recently completed a project entitled "The S in ESG: Monitoring supervisor behaviour with AI". What is it about? HR and recruiting managers regularly check how their company is rated on portals such as Kununu or Glassdoor and receive unfiltered personal impressions. Matthias Mahlendorf has analysed these ratings with machine learning, making aspects of corporate culture that were previously difficult to quantify measurable with data. Companies can now compare themselves with competitors in terms of social performance, which provides key insights for employer branding, for example.