Bachelor in Industry 4.0 Management

Tuition fees are 11,400 EUR per year.

Students who thrive on creative problem-solving and sustainability will love XU Exponential University’s Industry 4.0 Bachelor’s program. With Industry 4.0’s smart factory systems, you’ll gain hands-on experience through labs and project simulations. You’ll build systems thinking, cross-functional collaboration, and entrepreneurial skills, ready to tackle industrial transformation.

XU Exponential University of Applied Sciences is a private university in Potsdam, Germany, officially recognized in 2018. It is Germany’s first university focused exclusively on digitalization and technology. The university offers bachelor’s and master’s programs in areas such as Digital Business, Data Science, and Digital Transformation. With a strong emphasis on innovation and practical learning, XU prepares students for careers in the digital economy.

XU Exponential University of Applied Sciences calls itself Germany's first university built around digitalisation and technology, based in Potsdam, just outside Berlin. It is a state-recognised private university, and this catalogue lists 10 of its programmes: six bachelor's degrees, including Coding & Software Engineering and Data Science & AI, and four master's, including an International MBA.

How tuition works

Every bachelor's and master's programme at XU costs €11,400 a year, billed as €950 a month, with a discount for paying in advance. Full-time bachelor's students take a semester abroad at one of XU's partner universities, which span Malaysia, Australia, Spain, Ireland, the United States and Canada; part-time students attend International Summer Schools at the same partners instead.

Potsdam

You will study on XU's Potsdam campus, purpose-built for small-group and project-based teaching rather than lecture halls, with easy access to Berlin. Classes are taught by practitioners from business, start-ups and technology alongside academic staff, and the university's StudyBeyond option lets you combine your studies with paid work for at least one day a week.