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Master in Data Science and Engineering

InformationCourse/CS accredited by the Agency for Assessment and Accreditation of Higher Education (A3ES).
The MECD aims to provide advanced scientific and professional training in Engineering and Data Science. The program is designed for both professionals looking to update their skills and those seeking to acquire new knowledge and competencies in current areas of Engineering and Data Science.

 


Objectives

The objective of the MECD is to promote excellence in advanced and essential aspects of Engineering and Data Science (EDS), from theoretical foundations to the practical application of IT technologies within organizations. Students will learn to:

  • Work efficiently in project teams as engineers and data scientists, developing high-quality projects;
  • Design EDS solutions that address ethical, social, legal, technological, and economic constraints;
  • Learn new models, techniques, and technologies for EDS development;
  • Critically analyze the strengths and weaknesses of EDS development technologies, driving change within organizations;
  • Lead projects in the EDS field, fostering innovation and efficiency;
  • Understand and value feasibility analysis, negotiation, effective work habits, leadership, communication, and lifelong learning.

 


Professional Abilities

The MECD defines a set of learning objectives described and structured based on the Dublin Descriptors and the EUR-ACE framework:

  • To critically and thoroughly understand the central principles, methodologies, and techniques of Engineering and Data Science (EDS), particularly those involved in high-complexity and large-scale problems;
  • To be able to design, develop, and implement new and complex EDS solutions and products using cutting-edge knowledge in the field;
  • To be able to critically assess new technological solutions and promote the search for and application of innovative methods and solutions, fostering curiosity, creativity, and rigor;
  • To be able to communicate their technical and advanced reasoning to diverse audiences, both orally and in writing, in national and international contexts;
  • To be able to continue their EDS training autonomously and throughout their lifetime;
  • To be able to critically research information to solve complex EDS problems.

Employment Prospects

The curriculum of the Master's in Engineering and Data Science (MECD) is based on real-world problems, with a strong focus on practical projects in Engineering and Data Science. The MECD aims to train highly specialized professionals, capable of leading complex, large-scale projects in Engineering and Data Science, meeting high standards of quality.

 


Information

Operating Mode


Classes are held in person, in English, on Fridays (full day) and Saturdays until 14:00.

Most of the courses follow a modular format, meaning they are concentrated into periods of 3 to 4 weeks. ( see Operating Schedule )

Information about tuition fees is available on the following page: Annual Tuition Fee Amounts 2025/2026 - Stand-alone Masters

Contact Information

Secretariat of the MECD

Email: mecd@fe.up.pt

Location
Faculty of Engineering, University of Porto
Room I 012A
Department of Computer Engineering
Rua Dr. Roberto Frias, s/n
4200-465 Porto, Portugal

Office Hours: Monday to Friday | 10:00 - 12:00 / 14:30 - 16:30

Phone: +351 22 508 2134 | +351 22 041 3905

Contacts

mecd@fe.up.pt

General information

Official Code: MA58
Director: José Luís Moura Borges
Assistant Director: João Pedro Mendes Moreira
Acronym: MECD
Academic Degree: Master
Type of course/cycle of study: Masters Degree
Start: 2020/2021
Duration: 4 Semesters

Study Plan

Certificates

  • Master in Data Science and Engineering (120 ECTS credits)
  • Specialization in Data Science and Engineering (90 ECTS credits)

Predominant Scientific Areas

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