MSc Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Entry requirements

Admission: Master: Qualification assessment. Application deadline: Winter semester: 31.05.; Summer semester: 30.11.. Requirements: A completed Bachelor’s degree in Mathematics, Industrial Mathematics, Mathematical Economy, Computer Science, Data Science, or Physics from FAU or another equivalent German or international degree that is not significantly different with regard to the competence profile taught in the respective degree program. Please note that your competence profile cannot be evaluated in advance, but only by the admission committee after completing the application process (described below). 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. English proficiency at level B2 CEFR (vantage or upper intermediate) or six years of English classes at a Language: As the Master programme is in English we are asking for a certificate of upper intermediate English (level B2) are mandatory. Even if your undergraduate degree was taught in English we recommend to submit a language certificate. For everyday life and for internships and working student jobs, we recommend solid knowledge (B1) of German, but a certificate is not necessary for the application. Applications have to be submitted via the campus management portal campo.fau.de.