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Lisbon, Portugal

Communications Engineering and Data Science (CoDaS)
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Communications Engineering and Data Science (CoDaS)

Master of Science at Técnico Lisboa

Programme details
Degree: Master of Science (MSc)
Disciplines: Data Science & Big Data
Electronics & Communication
Duration: 24 months
ECTS points: 120
University website: Communications Engineering and Data Science (CoDaS)
Annual tuition (EEA) 825 EUR
Annual tuition (non-EEA) 7,000 EUR

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Description:

CoDaS (Master on Communications Engineering and Data Science) is a joint M.Sc. two years programme in the area of communications engineering and data science, offered by three European Partner Universities: Técnico Lisboa (University of Lisbon), with Aalto University and Grenoble INP Institute of Engineering.

Students completing the joint CoDaS M.Sc. Programme at Técnico Lisboa (University of Lisbon), earn a Double Degree:  Master in Electrical and Computer Engineering, with the Specialisation Area in Networks and Communication Systems (optional courses are taken from the Master in Data Science and Engineering); the corresponding M.Sc. degree at Aalto University or Grenoble INP Institute of Engineering, depending where they take the 2nd year of studies.

Programme content

The expertise gained through the joint CoDaS M.Sc. Programme features diverse programming skills, good mathematical background, goal-oriented problem solving, as well as efficient project planning and management.  In particular, students will boast competences in:

  • emerging communication technologies: learning from experts in the domain of communication and networking, namely in 5G;
  • cutting-edge automation competences: getting theoretical skills and practical expertise at the crossroads of communications and data science;
  • emerging information technologies: learning from experts in evolving information technologies that define the future in industry and society;
  • network security: learning to lead the transition of the industry towards security and privacy by design and by default in all types of networks, and more specifically in IoT;
  • distributed computer networks: learning to command the tools to manage future distributed networks of an unprecedented scale, including ubiquitously deployed IoT;
  • artificial intelligence in networking: possessing a broad range of tools to structure and analyse huge data sets and to extract meaning from patterns;
  • data handling: appreciating the value created by collecting, communicating, coordinating and leveraging data from connected devices;
  • programming skills: obtaining practical programming expertise in a range of industry-relevant languages;
  • project and team working: collecting practical experience through projects in relation with industry.

Career opportunities

The employability of graduates in these areas is very high at the European level, since there is a lack of human resources in the target domains in all European countries and even worldwide.  Therefore, one can expect that the graduates will have no problems in finding a job, and even a good one at a country and industry of their choice. One can envisage companies and organisations hiring these graduates in need of technical human resources dealing with telecommunication networks (and especially 5G ones), Internet of Things, security, data analytics, automation and even artificial intelligence, among many others.

Hiring entities are all those dealing with the telecommunications sector, but extend to all other sectors where data analytics plays a major role, e.g.: telecom operators, telecom equipment manufacturers, telecom devices manufacturers, regulators, consultancies, software houses, service providers, utilities, investment banks, insurance companies, research centres, public administration and international agencies, among others.


Learn more about this Master programme

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