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:

19 Mathematics A
or
02 Biology and Geology
19 Mathematics A
or
04 Economy
19 Mathematics A
or
07 Physics and Chemistry
19 Mathematics A

Minimum Grades:
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 (https://www.uc.pt/en/studyatuc/):
- 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

As assessment is a pedagogical activity inseparable from the teaching process, its aim is to establish the students' competencies and knowledge, their critical sense, ability to recognize and resolve problems, as well as their written and oral presentation skills. Students may only register for exams for classes they are currently enrolled. The following are examples of assessment items: Oral or written exams, written or practical work, individual and group projects that may require an oral defense, as well as class participation. Assessment for each class may include one or more of the above mentioned items. Grading is based on a scale of 0 to 20 and a grade of 10 is required to pass. Whenever the grade comprises more than one item, the final grade is calculated by taking into account the relative weight of each item according a formula published in the course outline.

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.

Course Coordinator(s)

Marco António Machado Simões
uc26855@uc.pt

ECTS Departmental Coordinator(s)

Jacinto Paulo Simões Estima
jacinto.estima@gmail.com

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
2026-2027

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