Overview
The rapid technological evolution in the field of computing requires solid, up-to-date knowledge capable of addressing increasingly demanding and continuously evolving technical contexts. This Postgraduate Programme in Computer Engineering aims to respond to this need by providing consolidation and specialisation training for candidates who are in the process of obtaining a higher education qualification in the field, as well as for professionals who have acquired relevant experience in computing and wish to deepen, systematise and formalise their knowledge.

Objetives

The aim of the Postgraduate Programme in Computer Engineering is to complement the solid and broad-based education acquired during a first-cycle degree in Computer Engineering, or an equivalent qualification, with advanced training in relevant areas of Computer Engineering Sciences.


The specific objectives of the Postgraduate Programme are:
 

  • To strengthen the skills and professional profile of Computer Engineers, preparing them to enter and progress in the labour market.
  • To provide training that facilitates access to a second-cycle degree in Computer Engineering.


Programme Structure


Classes take place every weekday from 2:00 p.m. to 8:00 p.m.


The Postgraduate Programme consists of an organised set of curricular units structured around three priority areas: Intelligent Systems, Networks and Systems, and Software Science and Engineering. These areas allow students to specialise in the corresponding topics.
Students must complete a total of 36 ECTS from this set of curricular units, comprising 18 ECTS in the first semester and 18 ECTS in the second semester.


Competences


The general competence profile of the Postgraduate Programme in Computer Engineering is developed across three fundamental components: (i) Knowledge — theoretical knowledge; (ii) Practical Skills — technical and professional knowledge; (iii) Learning Skills — cognitive abilities.


The Postgraduate Programme promotes the development of students’ general competences in each of the areas listed above, namely by:

  • Consolidating knowledge in Engineering Sciences and Computer Engineering Sciences;
  • Developing the ability to synthesise and analyse data, conduct scientific and technological experiments, and solve problems through the appropriate use of available resources, particularly computing resources;
  • Developing the ability to communicate data, ideas, problems and solutions, both orally and in writing, to different audiences, particularly specialist audiences in the field of computing;
  • Fostering a sense of responsibility and professional ethics;
  • Developing the ability to work as part of a team and adapt to technological change through continuous and autonomous learning.


Graduates of the Postgraduate Programme in Computer Engineering will be able to demonstrate specific competences in:

  • Analysis, design and development of information systems;
  • Analysis and development of distributed and parallel systems;
  • Relevant programming paradigms and languages;
  • Network security and cybersecurity;
  • Design and management of computer networks, with a focus on the Internet of Things;
  • Extraction of relevant information from large volumes of data;
  • Design of intelligent systems for solving complex problems.

Tuition and Fees 2026/2027

National Students: 450€

Application Fee: 50€

Registration Fee and School Insurance: 150€

 

Note: The  tuition of this course can be paid in 10 installments, being the first at the time of registration and the remaining in the months of October, November, December, January, February, March, April, May and June.

 
Career Opportunities

The Postgraduate Programme enables students to acquire specialised knowledge to perform the following roles:

  • Computer Engineer;
  • Computer Network Engineer;
  • Information Security Engineer;
  • Information Systems Engineer;
  • Decision Support Systems Engineer;
  • Information Systems Architect;
  • IT and Security Consultant;
  • Natural Language Processing Specialist;
  • Data Analysis and Data Mining Specialist;
  • Intelligent Systems Specialist.