Man analysing a graph on a monitor with a laptop beside him

From data to artificial intelligence.

Data Science

Data Science is the cornerstone of the current technological revolution, focused on transforming large volumes of data into strategic knowledge and intelligent systems. Artificial Intelligence, medicine, financial management, and scientific research are among the long list of activities that directly benefit from Data Science.
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Formative OfferBachelorData Science

From Artificial Intelligence to the Real World

Throughout this degree programme, you will be prepared to master the most advanced computing technologies, including artificial intelligence, algorithms, and data engineering.

More than just technical skills, the degree in Data Science trains versatile professionals who are prepared for the constant evolution of technology and capable of making sense of the world of data for the benefit of human progress.

Demand for qualified professionals in this field is extremely high, with employment rates approaching 100%. Job offers often come in before students have even finished their course.

Useful Information

Start date

September

Language

Portuguese

Location

Ciências ULisboa Campus

Campo Grande, Cidade Universitária

Duration

3 years (6 semesters)

Annual Fee

697.00€

Payment in ten instalments

Number of Credits

180 ECTS

Schedules

Daytime

Vacancies 2026/2027

30

How To Join

Admission Exams

02 Biology and Geology + 19 Mathematics A

ou

04 Economics + 19 Mathematics A

ou

07 Physics and Chemistry + 19 Mathematics A

ou

NEW EXAMS: 19 Mathematics A

Minimum Admission Grade

120

In a 0-200 scale

Minimum Admission Grade in Admission Exams

100

In a 0-200 scale

At Ciências ULisboa
you will find

Attractive and Competitive Training

94% placed in one of their top three choices (2025 National Entrance Exam); 91% of graduates satisfied with the training received (2025 Employability Survey - 2022/2023 Graduates).

Top-level research

Leading research and development centers (90% rated as very good or excellent); €38.5 million investment in R&D in 2022; 1,166 scientific articles published in 2022.

Focus on Employability

90.4% employment rate among second cycle graduates and 91.4% of graduates satisfied with their career path (Employability Survey 2025 - Graduates 2022/2023).

Commitment to entrepreneurship and innovation

30+ companies incubated at Tec Labs - Innovation Center; Innovation and Entrepreneurship and Personal Development course units.

Distinctions for academic merit

Recognition of the best students: 65 awards and 154 honorable mentions awarded in 2025.

Learning across borders

200+ mobility agreements, 140 Erasmus+ agreements with 24 countries.

Promotion of academic life

The Student Association, Student Groups, and Vicentuna support integration into school life and organize activities throughout the year.

Sports, wellness, and healthy living

Proximity to the University Stadium for practicing various types of physical exercise;
Science in Harmony activities to promote well-being and individual and social skills.

Environmental responsibility, sustainable future

15,000 m² of green spaces; 1,788 solar panels (509,000 kWh produced); 290 recycling structures; 2 composting and vermicomposting plants; 1 field station (Grândola).
lcienciadados-min

Data Science

The technical curriculum is underpinned by a solid foundation in informatics and mathematical sciences, with a particular focus on algebra, statistics and probability — fostering critical thinking and ethical awareness regarding the impact of these technologies on society. In the final semester, you will be able to choose between two specialisation tracks: Artificial Intelligence or Applied Data Science.

Study Plan

Study Plan

Semester

1

Study Unit
Credits
Linear Algebra and Analytic Geometry I
6 ECTS
Mathematical Analysis I
6 ECTS
Databases
6 ECTS
Introduction to Data Science
6 ECTS
Programming I
6 ECTS

Semester

2

Study Unit
Credits
Mathematical Analysis II
6 ECTS
Operational Research
6 ECTS
Discrete Mathematics
6 ECTS
Programming II
6 ECTS
Data Visualization and Exploratory Analysis
6 ECTS

Information regarding applications (including vacancies, deadlines, and instructions) can be found on the Ciências Portal:

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