Computer Networks and Distributed Systems

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The master’s degree gives the best foundations for design and research in computer networks and distributed systems, with an emphasis on scalable and reliable distributed systems, cloud computing, big data, the internet, future internet networks, mobile internet, the Internet of Things, smart cities, security and applications.


The master’s degree is aimed at students who have a bachelor’s degree in the fields of Engineering (e.g., Computer Science, Electrical Engineering, Telecommunications Engineering, etc) or Applied Sciences (e.g., Mathematics, Physics) and are pursuing a better understanding of Information Technology fields and, more specifically, Computer Networks and Distributed Systems.


Specialization coordinator

Person Department Email
Barceló Ordinas, Jose Maria AC

Specialization teachers

Person Department Email
Abadal Cavallé, Sergi AC
Baig Viñas, Roger AC
Barceló Ordinas, Jose Maria AC
Barlet Ros, Pere AC
Berral García, Josep Lluís AC
Cabellos Aparicio, Alberto AC
Cerdà Alabern, Llorenç AC
Delgado Merce, Jaime M. AC
Domingo Pascual, Jordi AC
Freitag, Felix AC
García Vidal, Jorge AC
Llorente Viejo, Silvia AC
Navarro Moldes, Leandro AC
Paillissé Vilanova, Jordi AC
Perello Muntan, Jordi AC
Serral Gracià, René AC
Toribio Gonzalez, Angel AC
Torres Viñals, Jordi AC

Technical Competences of each Specialization


  • CEE2.1
    Capability to understand models, problems and algorithms related to distributed systems, and to design and evaluate algorithms and systems that process the distribution problems and provide distributed services.
  • CEE2.2
    Capability to understand models, problems and algorithms related to computer networks and to design and evaluate algorithms, protocols and systems that process the complexity of computer communications networks.
  • CEE2.3
    Capability to understand models, problems and mathematical tools to analyze, design and evaluate computer networks and distributed systems.


Specialization compulsory subjects

Specialization complementary subjects


Master's Thesis
Mandatory Common Course


Semester 1

Semester 2

Semester 3

Semester 4

Seminar activities

The activities to obtain the SIRI credits can be done in any semester of the master's degree. Consult the detail of the seminars.


Data Visualization
(DV - 6 ECTS)

Machine Learning Systems in Production
(MLOps - 6 ECTS)