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Bachelor degree in Data Science

Education objectives

The objective of the bachelor¿s degree in Data Science is to train future professionals who are able to understand, develop and use models, algorithms, and the most advanced data science techniques to analyze and extract knowledge from Big Data. In this course, students will be exposed to innovative topics that span multiple disciplines (machine learning, deep learning, and artificial intelligence) and that are indispensable in the rapidly evolving field of data science. In this way, the course will have a wide variety of cross-sectoral applications. Thus, the bachelor¿s degree in Data Science aims to train future experts in data science, needed in a wide range of industrial applications and in favoring the digital transition of companies.

The data science graduate must:

- Understand the theoretical foundations of statistics, machine learning and methods of artificial intelligence;
- Identify and understand the most efficient algorithm for each specific problem;
- Design and develop state-of-the-art data science algorithms;
- Work closely with information technology experts to integrate science-based algorithms data in existing systems;
- Identify the underlying patterns and extract useful information from the large volume of heterogeneous data in organizations;
- Be proficient in the most used statistical procedures, tables, techniques and machine learning systems;
- Stimulate interest in following scientific advances in the field of data science and artificial intelligence.

For more information about this degree, please visit our website: https://www.novaims.unl.pt/en/education/programs/bachelor-s-degrees/data-science/

General characterization

DGES code

L188

Cicle

Bachelor (1st Cycle)

Degree

Licenciatura

Access to other programs

This Undergraduate Program gives access to a Master Degree.

Coordinator

Available soon

Opening date

The program will start in September 2026.

Vacancies

45

Fees

697 euros

Schedule

Working hours format

Teaching language

English

Degree pre-requisites

The study program is organized in 6 semesters for a total of 180 ECTS divided into five scientific areas (Informatics, Mathematics and Statistics, Business Sciences, Social and Behavioral Sciences, Informatics, or Mathematics and Statistics, or Business Sciences, or Social and Behavioral Sciences).


Out of the 180 ECTS required to complete the course, 150 correspond to mandatory subjects. Additionally, the student must choose five elective course units that will correspond to 30 ECTS. All elective courses can be taken at Universidade Nova de Lisboa or abroad (for example the Erasmus Program).

Conditions of admittance

Calendar of the 2026 National Higher Education Access 1st Phase:from July 20th to August 6th, 2026. 2nd Phase: from August 24th to September 2nd, 2026. Establishment Code: 0906 Course Code: L188 Formula of Applicants Grade: Secondary school grade: 50% Entry Exam: 50% Entrance Exam (One of the following sets): 19 - Mathematics A and 02 - Biology and Geology 19 - Mathematics A and 04 - Economy 19 - Mathematics A and 07 - Physics and Chemistry 19 - Mathematics A and 09 - Geography 19 - Mathematics A and 10 - Descriptive Geometry 19 - Mathematics A and 18 - Portuguese 19 - Mathematics A

Evaluation rules

The assessment method will be continuous assessment, i.e. through individual or group work, projects, quizzes, tests/exams, etc. At the beginning of each academic year, it is up to each teacher of each Curricular Unit (CU) to define how assessment will be carried out in their CUs, and this information is then made available via the student platform.