Data, Science and AI

University of Bayreuth · Bayreuth, Germany

Level
Bachelor's
Award
Bachelor of Arts Bachelor of Science
Language
English
Duration
6 semesters
Study mode
full-time part-time (study alongside work)
Campus
Bayreuth
Apply by
Register by 15 July 2027
Starts
Winter semester

University of Bayreuth does not publish a fee for this programme on its own. Its published rate for bachelor's programmes is €0 a year for international students.

Entry requirements and how to apply

Entry requirements
Admission requirements: University entrance qualification (German: "Hochschulzugangsberechtigung") TestAS or SAT certificate with a sufficiently high score Recommended skills and interests: Good mathematical preparation Interest in working with computers Problem-solving skills Strong motivation and scientific curiosity
English language requirement
B2 required, please provide an official language certificate, e.g.: IELTS Academic: 5.5
German language requirement
A1 required/recommended, no proof required
Application period
The following is valid for applicants from: all countries For the winter semester: 1 March - 15 July
Apply through
Please check this website .

About this programme

Computational methods, data-driven approaches and artificial intelligence (AI) are fundamentally transforming science, technology, industry and society. Since it is clear that the integration of computational methods and AI will continue to drive advancements across disciplines, there is an increasing demand for professionals who not only possess strong technical skills but also have a robust understanding of the theoretical principles that underpin these technologies. This is the unique feature of the interdisciplinary "Data, Science and AI" Bachelor's programme at the University of Bayreuth, whose curriculum blends mathematics, computer and data science with domain-specific knowledge and equips students with the ability to analyse complex data sets, develop algorithms and apply machine learning techniques to real-world problems.

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