Bachelor's Degree in Data Science and Engineering

General Objectives of the Course

The main goal of the degree is to empower students with the theoretical knowledge and skills that allow them to design and develop computer applications for
data analysis and the required computational infrastructure. Graduates will be able to proceed to advanced degrees, or to pursue a career in Industry at a global
The B.Sc. in Data Science Engineering will provide the students with real scenarios, so that they can get in touch with the challenges that occur in real scenarios.
This will endow the students to pursue advance studies and to excel in the industry. This was based on recommendations from future employers and on similar
degrees, particularly European and North American spaces.
The degree ensures that the graduates have the knowledge of the basic principles, concepts, theories, methodologies and practices in data science engineering,
and they will be able to express such capacities through a series of instrumental, systemic and interpersonal skills.

Admission Requirements

Normal Application (DGES);
Conclusion of Secondary (High) School and approval on the specific National Exam of Mathematics A (19) OR Physics and Chemistry (07) and Mathematics A (19).

This information does not exempt the consultation of the webpage of the Directorate General of Higher Education (DGES) and/or of the Applicants website. Please, visit the DGES and the Applicants websites

Mode of Study


Teaching / Evaluation language(s)


Learning Objectives and Intended Skills

Knowledge and Comprehension: - Profound knowledge and understanding of i) theories, principles, methods and techniques for data storage, integration,
manipulation and processing; ii) the potential for innovation and value creation in engineering and data science;
Application of knowledge, understanding, judgment and communication: - Identification of problems, design and development of solutions using a wide range of methodological, computational, programming and software techniques for the management, preparation, cleaning, integration, exploration, reduction,
prospecting, modeling and visualization of data; - Communication with specialists and non-specialists
Learning: - Preparation for admission in advanced degrees; - Openness and ability to learn new developments and ideas in the area; - Critical and reflective
thinking towards the technical, social, ethical and legal aspects of the possibilities and limitations of engineering and data science.

Course Coordinator(s)

Jorge Manuel Oliveira Henriques

ECTS Departmental Coordinator(s)

Raul André Brajczewski Barbosa

Recognition of Prior Learning

Recognition of prior learning is carried out in accordance with the Academic Regulation of the University of Coimbra.

Qualification Requirements and Regulations

Article 3, DL no. 74/2006, March 24th, as written in the DL no. 65/2018, of August 16th

Study Programme

Data Science and Engineering

Academic year

Course Type
1st Cycle Studies

DGES Code: L192

Qualification Awarded: Licenciado

Duration: 3 Year(s)

ECTS Credits: 180.0


Call for Applications


Agência de Avaliação e Acreditação do Ensino Superior
2020-07-31 a 2026-07-30
Direcção Geral de Ensino Superior