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           What is ASC?

• A 4-semester Elite Master’s programme within the taught in English for highly qualified students that aim for higher career goals.
• Designed for outstanding students with Bachelor’s degrees in Electrical Engineering, Communications Engineering, Computer Science, or closely related disciplines.
• Focusing on fundamental concepts for advanced technologies in the areas of signal processing and communications such as: information theory, coding, and statistical signal processing, machine learning, optimization, and game theory.
• Students deepen the broad interdisciplinary scope of these topics choosing from various areas of specialization.
• ASC stands for Advanced Signal Processing and Communications Engineering, and it is a new Master’s programme for students who want to specialize in this field.
• The ASC programme is designed for students with bachelor degree focusing on information and communication technology.
• Its diploma is recognized internationally and meets the requirements for subsequent doctoral studies.
• The four-semester curriculum starts in winter. All courses are taught in English and do not require prior knowledge in German language.
• The program emphasizes on fundamental concepts of modern technologies in the areas of signal processing and communications.
• Moreover, through hands-on experiments and research projects, students can build a solid understanding in one or more of the technical subjects, including information theory, statistical signal processing, machine learning, optimization, and game theory.
• In addition, we also have a special mentoring program. Students can choose a mentor professor according to their interested field of study.
• Selected mentors will then help the students structuring their own curricula that are tailored to individual interests and career goals.
• The four-semester curriculum includes three special events. A kick-off seminar right before the winter semester, a winter school held between the first and second semester, and a summer school held before the third semester.
• The kick-off seminar allows students to get in touch with the professors and each other before the start of the program.
• The winter school offers training on soft-skills, such as project and people management and business development. Lastly, the summer school prepares the students for the research-based training by working on scientific projects in a team.
• In addition to the events offered by the programme, students can opt for participation in various events organized by the Elitenetzwerk Bayern.
• Germany has one of the most vibrant manufacturing industries in the world, and engineers are always in high demand.
• There are plenty of jobs available for ASC graduates in the communication industry, as well as any industry that utilizes embedded system or information technology, such as medical technology, energy systems (‘smart grids’), or automotive industry.
• Advantageously, there are many big companies located in the Erlangen-Nürnberg area, Alcatel-Lucent, Audi, BMW, Deutsches HörZentrum Hannover, Dolby Germany GmbH, EADS, Ericsson, Huawei, IAD, Institut für Rundfunktechnik, Intel, NTT, Sennheiser, Shure, Siemens, to name a few. The co-operation of FAU and the Fraunhofer IIS (“Home of MP3“) makes Erlangen a world-wide leader in audio and multimedia technologies.
• ASC-students are closely connected, and will benefit from the strong connection and networking for more opportunities.
• ???????With the combination of our rigorous coursework, research opportunities, and abundant job resources, our students will be well-equipped to succeed in their study and career.
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•Winter semester starts in October, International students must plan their visa applications accordingly.

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•  Please check Course Website for details.
• 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, 3^rd edition, Prentice Hall,  2013.
• Software: MATLAB or Python

• Minimum grade requirement is a Bachelor’s degree above average: at least 2.0 (straight B) in German grading system. 
•  Please note that in the German garding system 1.0 (straight A) is the best mark.
• TOEFL score report (minimum score IBT 80, PBT 547, CBT 210) or other proof of English-language education (IELTS 5.5, level B2 of the Common European Framework of Reference for Languages, or Medium of Instruction Certificate e.g.)

• Application form
• Curriculum Vitae
• Educational Documents (transcripts/Marksheets),
• Motivation letter
• Language proficiency certificate
• Work experience letter
• APS certificate for Chinese & Vietnamese applicants etc.
• List of documents may change from time to time, please check on COURSE WEBSITE.

• For Winter  semester – 15^th Mar(for applicants with a non-German Masters degree) 15^th Jul(for applicants with a German Masters degree)

• Please submit your applications here COURSE WEBSITE.

• Finding a part time employment is possible once you arrive in Germany. If you speak German, then it gets easy for you.
• You are permitted for to work for certain number of hours e.g.20 hours/week with a valid study permit.
• Please check on your visa document, it is mentioned on it.

• Please check on University Website.
• Accommodation in Erlangen ranges from €250 to €400 per month and person depending on size and type.

• Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is one of the largest research universities in Germany.
• Our values of innovation, diversity and passion are the key to our consistently high national and international rankings. Come and join the FAU family.
• Founded in 1743, Friedrich-Alexander-Universität Erlangen-Nürnberg is steeped in history and ranks among the largest universities in Germany and Europe, famous for its research excellence.
• We’ll help you fulfil your potential and become part of a growing, global community of innovative researchers and entrepreneurs.
• We strive to create fully rounded, independent individuals. At FAU, we are also aware of our social and environmental responsibilities.
• Equally, as an institute of learning, we are at the forefront of driving innovation and setting knowledge in motion.
• Come and study at FAU. Get information on which programmes are available, funding options and guidance, and the support staff that can help you.
• Our university has long been synonymous with interdisciplinary excellence and innovative research and academia.
• Innovation, diversity and passion are the basis and motivation for our success.
• By working together with some of the biggest names in research and industry, we set knowledge in motion to be the catalyst for pioneering innovation that will shape the future.
• FAU is one of the leading research universities in Germany. It is consistently ranked highly in national and international rankings alike.
• FAU is situated right in the middle of an engrossing, innovative environment. Surrounded by global brands, exciting high-tech firms, Medical Valley, and an all-round innovative, entrepreneurial spirit.
• FAU has ambitious goals, striving to be at the forefront of innovation in its key research fields.
• FAU’s research is squarely aimed at transforming the future.
•  Be it new energy systems, new materials, looking at the world of work or innovations in medical engineering. FAU’s researchers are determined to change the world. FAU is currently at the centre of the drive towards developing sustainable energy technology.
• At the same time, a lot of research is being undertaken on important societal issues. Ethics, human rights, digitalization, and various aspects of health and medicine are key issues that shape the future
• For some specific examples, or take a look at the research field and activities..
• Cultural Values, Religion and Human Rights
• Electronics, Analytics and Digital Transformation
• Future Energy Systems
• Medical Engineering
• Medicine, Life Sciences and Health
• New Materials and Processes
• Optics and Optical Technologies
• The World of Work