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Advanced Signal Processing & Communications Engineering (MSc)

Dieser Studiengang wird nur in englischer Sprache angeboten.
What is the degree program about?

This Master's program is part of the Elite Network of Bavaria and has a duration of four semesters. It is taught in English and is aimed at highly qualified students with ambitious career goals.

  • The program is designed for holders of excellent Bachelor's degrees in electrical engineering, computer science, applied mathematics or closely related disciplines.
  • Admission is granted to highly talented individuals only. Applicants that are in doubt whether they meet the rigorous admission standards are encouraged to simultaneously apply for other MSc programs at FAU.
  • The program focuses on fundamental concepts for advanced technologies in the areas of artificial intelligence, signal processing and communications such as information theory, coding, statistical signal processing, machine learning, optimisation and game theory.
Admission requirements
  • Engineering mathematics: 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 such as Haykin, Communication Systems)
  • Stochastic signals (textbook such as Pillai/Papoulis: Probability, Random Variables, and Stochastic Processes)
  • Software: MATLAB
Structure of the program

1st semester

  • Kick-off Seminar
  • Information Theory and Coding
  • Statistical Signal Processing
  • Machine Learning in Signal Processing
  • Mathematical Optimisation in Communications and Signal Processing
  • Non-technical elective courses
  • Technical lab courses
  • Technical compulsory elective modules
  • 2nd semester

    • Selected topics in ASC
    • Applied Game Theory in Information Engineering
    • Deep Learning
    • Winter School, Summer School
    • Technical compulsory elective modules
    • Research project (minor) - optional

    3rd semester:

    • Research project (major)
    • Technical elective courses
    • Technical lab courses

    4th semester:

    • Master's thesis

    ASC focuses on interdisciplinary concepts that are fundamental for advanced technologies in the areas of artificial intelligence, signal processing and communications. Besides information theory, coding and statistical signal processing, this includes machine learning, optimisation and game theory. Students deepen the broad interdisciplinary scope of these topics by choosing various areas of specialisation.

    Selected faculty members guide the students in composing their own curricula tailored to their individual interests and career goals.The four-semester curriculum starts with a kick-off seminar right before the winter semester. The study program includes at least two or even three research projects, one of them being the six-month Master's thesis.

    A winter school complements the scientific education with general soft and targeted people management and business development skills. A summer school prepares the students for the research-based training in the second year of the program. Furthermore, students can opt to participate in various events organised by the Elite Network of Bavaria.

    Specialisations and career prospects
    • With Germany being one of the most productive industrial economies, engineers are always in high demand. Demographic developments and the ever-growing demand for young graduates familiar with latest technologies lead to plenty of openings with attractive salaries for ASC graduates. Aside from the traditional employers in the communication industry, ASC students can expect to find numerous opportunities in industries whose competitiveness greatly depends on embedded information technology, such as medical technology, energy systems ('smart grids') or the automotive industry. The Nuremberg Metropolitan Region also has many major players in all of these fields.
    • The cooperation partnership between FAU and the Fraunhofer IIS ('Home of MP3') makes Erlangen a global leader in audio and multimedia technologies. The university chairs involved within the ASC program have a wide range of cooperation partners in industry, including Alcatel-Lucent, Audi, BMW, Deutsches HörZentrum Hannover, Dolby Germany GmbH, EADS, Ericsson, Huawei, IAD, Institut für Rundfunktechnik, Intel, NTT, Sennheiser, Shure and Siemens. During their studies, students can complete research projects as part of joint research projects of FAU and industry.
    • The ASC Master's degree program builds on Bachelor's programs in information and communication technology. It exposes students to cutting-edge research and development in the core areas of communications and multimedia technology and related interdisciplinary topics. The program structure complies with internationally recognised Master's degree programs and meets the requirements for qualifying for subsequent doctoral studies. The four-semester curriculum starts in the winter semester and includes a thesis which is written over a six-month period. All modules are taught in English and do not require prior knowledge of the German language.
    Degree program start date and application deadlines

    Please find more detailed information on how to apply for a Master or advanced degree program on the following website: https://master.fau.de.

    The application and the admission procedures are organised in several steps.
    For more information: Application

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    Studiengang-Bild

    Degree type: Master of Science (MSc)
    Type of study: Master
    Location: Erlangen
    Standard duration of study: 4 Semester
    Start date of degree program: Winter Term
    Language: Entirely in English
    Size: (currently 1-50 Students)
    Faculty: Faculty of Engineering
    Admission: Qualification assessment
    Elite degree program: yes