Step 1 - Find your Study Program
University of Erlangen–Nuremberg
Erlangen
Advanced Signal Processing & Communications Engineering
Subjects: Engineering;Communications
M.Sc. | Master of Science
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.
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 EUR |
Step 2 - Check Application Requirements
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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).
Application Process
Acceptance Interview | No |
Acceptance local admission restrictions | Admission Exam |
Application | directly at the University |
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