Electrical and Computer Engineering
- Provide a solid cultural and technical background in Electrical Engineering, aiming to develop the capabilities for innovation and critical analysis
- Acquisition of scientific knowledge, from a technical and practical nature, and its applications, allowing the continuation of studies and/or the pursue of a professional activity
Opening hours: Monday to Friday, from 19h00 to 23h30
The MEEC is structured in several large areas of knowledge materialized in two specializations. These areas include: "Information Technology and Computing" and "Telecommunications and Electronics", which are materialized in the specialization of "Information Technology and Telecommunications"; and "Energy Systems" and "Automation and Control", materialized in the specialization of "Energy and Control Systems".
- Information Technology and Telecommunications - TIT
- Power and Control Systems - SEC
Tuition and Fees 2023/2024
National Students: 1000 Euros
International Students*: 2000 Euros
Application Fee: 50 Euros
Registration Fee and School Insurance: 175 Euros
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.
* in accordance with Decree-Law No. 36/2014, changed by Decree-Law No.62/2018, of 6th August, international students are nationals of a country which is not a Member State of the European Union and are not a legally resident in Portugal for more than 2 uninterrupted years by 1st of January of the enrolment year
The Masters in Electrical and Computer Engineering are qualified to practice as an Engineer, and / or to work in research and development and to continue studies.
Depending on the areas of knowledge and the chosen disciplines of choice, the graduate in Electrical and Computer Engineering acquires competences in: Telecommunications; Electronics; Information Technologies; Computing; Electric Power Systems; Automatic Control; Automation; Instrumentation; Internet of Things; Human-Computer Interaction; Machine Learning; Renewable energy; among others.