Courses / Department of Informatics Engineering

Bachelor in Artificial Intelligence and Data Science

General Objectives of the Course

The main goal of the Bachelor's Degree in Artificial Intelligence and Data Science (LIACD) is to provide the future professional with the basic foundations for the various areas that constitute the Artifical Intelligence and Data Science domains.
This degree guarantees the training of professionals with a vast set of theoretical knowledge, methods and practical skills that will allow them to continue their studies for more advanced cycles, such as master’s or PhD. Simultaneously, it also aims to enable the practice of the profession in contexts that involve the operationalization of fundamental concepts in the design of solutions for small and medium complexity / scale problems and support for the implementation of Artificial Intelligence-based complex solutions, whether in the component linked to Artificial Intelligence, whether in the field of Data Science.

Admission Requirements

National Call for Access and Entry to Higher Education (DGES):

Entry exam:
One of the following sets:
02 Biology and Geology
19 Mathematics A
or
04 Economy
19 Mathematics A
or
07 Physics and Chemistry
19 Mathematics A

Application score: 100 points (0-200 scale)
Entry exams: 95 points (0-200 scale)

Calculation Formula:
Secondary school average: 50%
Entry exams: 50%

Other forms of access (UC-applicants):
- Change of Institution / Course Pair Schemes;
- Special Access Call for over 23-years-olds;
- Special Access Call for Holders of Other Higher Education Courses;
- Special Call for International Students.

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

Professional Goals

Artificial Intelligence companies, data analysis, infrastructures for data analysis, consulting companies, telecommunications companies, banking, health, computer systems.

Mode of Study

Face-to-face

Teaching / Evaluation language(s)

Portuguese

Examination Regulations, Assessment and Grading

Since the evaluation is a pedagogical activity that is inseparable from teaching, it is designed to assess the skills and knowledge acquired by the students, their critical thinking, their ability to enunciate and solve problems, as well as their mastery of written and oral exposition. LIACD evaluation rules follow the Academic Regulation of the University of Coimbra published in the Diário da República, 2nd series — No. 187 — September 24th 2020 and the Regulation of Knowledge Evaluation of the Faculty of Sciences and Technology of the University of Coimbra published in the Diário da República, 2nd series - No. 74 - April 16th, 2018. The evaluation of the curricular units is carried out taking into account their specificities. Some of the curricular units are evaluated by final exam, while others follow the periodic assessment model, including evaluation methods with problem solving, laboratory work, written assignments, projects, and presentations, among others.

Learning Objectives and Intended Skills

To achieve its goals, in addition to solid knowledge and fundamental theoretical bases, the LIACD has a strategy to offer contexts that allow, from a very early age, to place students in contact with the typical restrictions of the real world, whether in scale or complexity. This way, the student will be prepared not only for the pursuit of advanced studies, but also for the exercise of the profession, giving him/her the ability to intervene in terms of analysis and design of medium complexity solutions based on Artificial Intelligence and Data Science.
Following this strategy, LIACD will ensure that its graduates will acquire knowledge and understanding of the concepts, basic principles, theories, methods and practices of Artificial Intelligence and Data Science, and are able to express them through an integrated set of instrumental skills, systemic and interpersonal.

ECTS Departmental Coordinator(s)

Joel Perdiz Arrais
jpa@dei.uc.pt

Recognition of Prior Learning

The recognition of prior learning is carried out according according to the Academic Policy 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

Graduation Requirements

Completion of all mandatory Curricular Units, totaling 180 ECTS.

Access to Further Studies

MSc. on Artificial Intelligence Data Science or similar areas. In some cases students might also have access to Ph.D. programs.

Study Programme

Artificial Intelligence and Data Science

Academic year
2025-2026

Course Type
1st Cycle Studies

DGES Code: L227

Qualification Awarded: Bachelor's Degree

Duration: 3 Year(s)

ECTS Credits: 180.0

Applications

Call for Applications

Accreditations

Agência de Avaliação e Acreditação do Ensino Superior: 2025-07-31 a 2031-07-30
Direcção Geral de Ensino Superior: Nº Registo: R/A-Cr 12/2020/AL02; 2025-05-27