| FAU Erlangen-Nürnberg | 4 Semesters |
| Germany | Full Time |
| MSc | Onsite |
Germany is known as the engineering paradise. The number of persons interested in higher education in the country is growing daily for various reasons. Many people prefer Germany since most public universities do not charge tuition fees. So, let’s move forward with this topic.
The elite master’s degree program in advanced signal processing and communications engineering (ASC) continues for four semesters. This program is for highly qualified students who want to advance in their careers.
All courses are taught in English, and no prior knowledge of the German language is required. Students can choose rigorous German language courses to open the door to employment options in Germany. Students who need financial assistance will be awarded part-time job contracts with the participating institutes to pay at least a portion of their subsistence costs in Erlangen.
This two-year curriculum includes advanced signal processing and communications engineering lectures, exercises, seminars, experimental laboratories, research projects, a summer school, a winter school, and a kick-off seminar. And also a six-month time for the Master’s thesis. Students can also take German language classes or improve their soft skills at soft skills workshops.
Electrical Engineering
Bachelor’s degree in electrical engineering, communication engineering, computer science, applied mathematics, or physics.
English
None
Master's Degree
15 March for the following winter semester
TOEFL minimum score (IBT 80, PBT 547, CBT 210)
IELTS at least 5.5
FAU has a long history, having been founded in 1743. With 38,878 students, 267 degree programs, 4,000 academic staff (including over 624 professors), 243 million EUR in third-party funding, and 500 partnerships with universities all over the world, it is a strong research university with an international perspective and one of Germany’s largest universities. University teaching is strongly related to research and focuses on training students in theory and practice to think critically and work independently. The research itself achieves an ideal blend of theoretical approach and practical application.
Yes
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