Friedrich-Alexander-Universität Erlangen-Nürnberg

Master Data Science

Master Data Science › Lehreinheit Mathematik - Data Science

A Grade Point Average (GPA) of 2.5 or better with respect to the German grading system. Candidates with an admissible degree (described above) and a GPA between 2.6 and 2.8 are invited for a short online interview in which their knowledge in calculus, linear algebra, algorithms and data structures is evaluated. An online tool for converting grades to the German grading system using the Bavarian formula can be found here.

• English proficiency at level B2 CEFR (vantage or upper intermediate, not be older than 2 years) or six years of English classes at a German secondary school (Gymnasium). Applicants who have completed their university entrance qualifications or their first degree in English are not required to provide proof of proficiency in English. A list of accepted language proficiency certificates can be found here.