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Master's Degree - Master programmes

Masters Degree in Data Science and Engineering

The Master's in Engineering and Data Science (MECD) aims to provide advanced scientific and professional training in Engineering and Data Science and is designed for professionals who wish to update their skills, as well as those who wish to acquire new skills and current knowledge in Engineering and Data Science.

Type of Course
Masters Degree
Duration
4 Semesters / 120.0 ECTS
Vacancies
30
Language
English
Tuition Fee (Full Tuition Fee)
Nacional/EU: 2500.00€

All the information presented relates to 2024/2025

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Learning Objectives

Learning Objectives

The objective of the master's degree in Data Science and Engineering (MDSE) is to promote the excellence of qualification in nuclear and advanced aspects of Data Science (DS), from its theoretical foundations to the integration of computer technologies in organizations. The MDSE aims to answer the market demand for data scientists. It is born naturally out of the Faculty of Engineering of the University of Porto, given the excellent teaching and research staff of the three departments involved: Informatics Engineering, Industrial Engineering and Management and Electrical and Computer Engineering. The strong skills in DS at FEUP are confirmed by the extensive teaching experience, the impact of scientific publications and the quality of the scientific and R&ID projects carried out.

Complete Syllabus

Career opportunities

Career opportunities

Data Science & Engineering is an area with a wide range of options for exciting careers:

  • a data scientist at a company, delivering projects for your company as well as external customers;
  • a data science researcher at a lab, expanding the limits of the area by developing new methods as well as applying to novel domains;
  • a data science researcher in a company, driving innovation to keep your company at the edge.

As an MDSE graduate you will be able:

  • to understand in a critical and in-depth manner the central principles, methodologies and techniques of Data Science (DS), particularly those applicable to problems of large size and complexity;
  • to design and implement new and complex DS solutions and products using state-of-the-art knowledge in the area, given ethical, social, legal, technological and economic constraints;
  • to critically judge new technological solutions and promote the search and application of innovative DS methods and solutions to challenging problems, appealing to curiosity, creativity and rigor;
  • to work efficiently in a project team as a data scientist to develop projects that add value to organizations;
  • to communicate their highly technological reasoning to diverse audiences, orally or in writing, in (inter)national contexts, fostering positive change in organizations;
  • to continue their training on DS independently and throughout life.

Partnerships with companies

Partnerships with companies

It is common practice to invite personalities from the business world and the public sector as part of various curricular units, in order to encourage students to have contact with non-academic environments.

In addition, students can carry out their dissertations in a business environment or in research laboratories - and much of the work carried out is part of research projects with public or private funding. The research centres to which the lecturers are affiliated promote technology transfer projects with companies, which allows them to assess the needs of the productive fabric and to promote the presentation of topics for students' dissertations. Companies often contact lecturers to establish collaborations ranging from consultancy to technology transfer. These projects may involve students from the programme and may be the subject of dissertations (subject to appropriate confidentiality conditions).

Deloitte

BNP Paribas

Siemens

Critical Software

SONAE

Sogrape

Bosch

Contacts

Contacts

Secretariat
Tel.: 22 508 1977/22 508 1405
E-mail: [email protected]

Study Programme Website

Registration and Accreditation

DGES

Registration n.ºR/A - Cr58/2019 in Aug. 26, 2019

A3ES

Date of publication of the accreditation decision: July 9, 2019

Validity of accreditation: 6 years

Information from A3ES
Additional information