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University of Erlangen–Nuremberg

Erlangen

Data Science

Subjects: Data Science;Science;Technology

M.Sc. | Master of Science

⏳ Duration

4 Semesters

🔠 Teaching Language

English

💶 Application Fee non-EU

No information

💶 Cost per Semester ?

67.0 EUR

💶 Tuition Fees per Semester

No Tuition Fee

⏱️ Application Deadline Summer

30.11.

⏱️ Application Deadline Winter

31.05.

Course description

The Master’s degree program in Data Science is an excellent path to mastering data analysis and processing. This program equips you with the latest technologies and methods to model and analyze vast datasets, providing critical insights for various applications. Throughout your studies, you will delve into data analytics, artificial intelligence, machine learning, and statistics. You will learn to create complex data models and apply them to diverse scenarios. In this program, you will gain a deep understanding of data analytics, artificial intelligence, machine learning, and statistics. You will master the skills needed to build intricate data models and use them effectively in different contexts. This comprehensive education ensures you are well-prepared to tackle real-world data challenges and make informed decisions based on your analyses.

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Program Information

Study Location	Erlangen
Start Semester	Summer, Winter
Study Form	Full-time
Study Type	Postgraduate
Teaching Language	English
Dual	No
Remote	No
Application Fee non-EU	No information
Study Length	4 Semesters
Tuition Fees per Semester	No Tuition Fee
Cost per Semester	67.0 EUR

Step 2 - Check Application Requirements

⏱️ Application Start Summer

No information

⏱️ Application Deadline Summer

30.11.

⏱️ Application Start Winter

No information

⏱️ Application Deadline Winter

31.05.

Application Requirements

Language Requirements

CEFR	No information
IELTS	No information
Cambridge (CAE)	No information
TOEFL IBT	No information

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.

Qualification 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 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.

Document Requirements

CV (simple copy) German language test verification certificate - if required (simple copy) School leaving certificate (certified copy) Official translation of the School Leaving Certificate (certified copy) University Degree Certificate and Diploma Supplement - if already available (certified copy) Official translation of the University Degree Certificate and Diploma Supplement (certified copy) Complete Academic Report/Transcript of Records (certified copy) Official translation of the Complete Academic Report/Transcript of Records (certified copy) All additional documents which are required by the specific program (letter of application, proof of internships/placements, language certificates, etc).