Artificial Intelligence and Data Science Frankfurt School of Finance and Management

Overview

The curriculum is built on four pillars: Technological Competence provides a solid foundation in AI, machine learning, statistics, and cloud computing. In Business Process Integration, you will learn how data enables informed decision-making and strengthens organisational performance. The Ethics & Law pillar addresses the ethical and legal challenges of AI, fostering responsible action. The Company Cooperation Project allows you to apply your knowledge in real projects and transform data into business success.

Why Applied Data Science at Frankfurt School?

Frankfurt School is recognised as one of the premier business schools in Europe, holding the prestigious "Triple Crown" accreditation from AACSB, EQUIS, and AMBA. This accolade reflects the institution's commitment to excellence in education. The school boasts strong partnerships with leading companies and organisations, providing students with exceptional networking opportunities and access to industry insights. Moreover, state-of-the-art facilities and resources support a conducive learning environment, ensuring that students receive a comprehensive and high-quality education.

Conmpany Cooperation Project

During the third semester, students test the knowledge from previous semesters by working on real business use-cases together with leading companies. Over 3-4 months, students work closely on their project with the company from start to finish, gaining end-to-end, hands-on experience to prepare them for the job market.