Proposed Tracks

The Signals, Systems and Radiocommunications department at the Telecommunications School – Universidad Politécnica de Madrid (SSR-ETSIT-UPM) – is promoting a new Master Degree on Signal Processing and Communications Theory.

Our main objective is to provide our students with new insights and capabilities to face real problems in their careers, both in academia and research centres, as well as new professional opportunities in national and international companies. The Master degree is structured in three tracks. Two of the tracks address classical topics, covering most of national and international technological activities in which our department is a leader in Spain. The third track deals with new challenges in signal processing and machine learning applied to big data. It is intended to train professionals in an area that currently is highly demanded by companies in a wide range of sectors.

RF technologies and systems

The RF Technologies and Systems track is scheduled in 10 different subjects. There is a set of subjects dedicated to fundamentals and technologies: RF and antenna technologies, understanding and use of modern electromagnetic solvers, software radio, and advanced measurement techniques. On top of these technological subjects, modern radio communication systems are presented: Mobile Communications, MIMO systems, and Secure RF Communications. The integration of technologies and applications offer the students a new and fresh perspective of modern RF systems.

Radiocommunications and Multimedia

This track provides an integrated profile in radiocommunications and multimedia emphasizing most hot technological areas where our department is leading industrial transfer and basic research.

Highly experienced lecturers in each topic first provide a solid background, presenting modern insights on optimization, statistical signal processing, information theory and multimedia signal processing. Key technological ideas are then discussed, such as the design principles of communication systems and equipment, the very rich path from array processing to modern multiantenna systems, and advanced topics in multimedia representation, coding and content distribution. Finally, several currently very active subjects are covered, including secure communications, next-generation mobile communications, media production, and mixed reality and immersive environments.


Full Track Program

Signal Processing and Machine Learning for Big Data

In this track you will get the right skills to fulfill the rising demand for analytics professionals and scientists in a broad range of industrial sectors. The track program has been designed to provide the scientific foundations and major technological challenges for extracting knowledge from the increasing number of real-world signals, such as speech, images, movies, music, biological and sensor readings, financial series, etc., as well as data provided by current and future communication systems.

Fundamental courses on statistical analysis, time series analysis and optimization methods, provide the background for machine learning courses (predictive and descriptive learning, reinforcement learning and biologically-inspired models) and for courses on signal processing techniques for large-scale data and massive processing of images and video.

Practical activities will provide you with hands-on experience approaching real use-cases in several application areas and industries such as large-scale media analytics, smart cities, ubiquitous wireless sensor networks, financial trading, environmental monitoring, robotic systems, etc.

Full Track Program

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