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University of Erlangen–Nuremberg

Erlangen

Advanced Signal Processing & Communications Engineering

Subjects: Engineering;Communications

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

No information

⏱️ Application Deadline Winter

15.03.

Course description

This Master’s degree program, part of the Elite Network of Bavaria, spans four semesters and is conducted in English. It targets individuals with outstanding Bachelor’s degrees in Electrical Engineering, Computer Science, Applied Mathematics, Medical Engineering (Medical Image and Data Processing), or closely related fields. The curriculum emphasizes interdisciplinary concepts essential for advanced technologies in artificial intelligence, signal processing, and communications. Key study subjects include information theory, coding, and statistical signal processing. The program also covers machine learning, optimization, and game theory. Students can deepen their knowledge by selecting various areas of specialization, ensuring a broad and comprehensive understanding of these critical topics.

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Program Information

Study Location	Erlangen
Start Semester	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

No information

⏱️ Application Start Winter

15.02.

⏱️ Application Deadline Winter

15.03.

Application Requirements

Language Requirements

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

English (level B2, CEFR)

Qualification Requirements

Content-related admission requirements outstanding Bachelor’s degree: at least 80% or 2.0 in German grading system Engineering math: linear algebra, complex analysis, linear differential equations, Fourier transform, Laplace transform, z-transform Signals and Systems (textbook, e.g., Oppenheim/Willsky, Signals and Systems) Communications (textbook, e.g., Haykin, Communication Systems) Stochastic Signals (textbook, e.g., Pillai/Papoulis: Probability, Random Variables, and Stochastic Processes) Minimum knowledge in Digital Signal Processing: A.V. Oppenheim and R. Schafer, Discrete-Time Signal Processing, 3rd edition, Prentice Hall, 2013. Software: MATLAB or Python

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).