36 monthsProgramme duration
7,000 EURTuition Fee/year
25 Jun, 2025Application Deadline
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The BSc in Data Science is the first and only degree in our country developing essential skills to innovatively address the current demands of the Information Society, allowing direct intervention in the current Digital Transformation. This degree trains professionals to become knowledgeable about the entire data cycle, giving them strong analytical skills, with the ability to anticipate and meet future challenges in a world where Artificial Intelligence and automation are a large part of our reality.
This undergraduate degree trains competent professionals who understand how and which data should be collected, organized and managed, and enables them to integrate and quickly process large volumes and wide varieties of data (Big Data). By developing their computational and mathematical reasoning, which are fundamental for Data Mining, Machine Learning and Intelligent Agents, this degree endows its graduates with strong analytical, creative and ethical skills, which translate into the ability to extract, build and analyse knowledge, and communicate it in a sustained manner, either for decision-making or the creation of new products and services.
Through the continuous and systematic use of individual and group work, the practical component is reinforced by putting students in contact with real data and challenges, proposed by a variety of guests from financial and technological companies, public administration, and bodies related to health, human and social sciences. These activities end up connecting the students to the research and innovation aspects of the course.
Once the course is finished, graduates will have at their disposal a wide range of employment opportunities and a very high rate of employability.
This degree is intended for all young people looking for a suitable training that will enable them to implement and manage analytical processes in organizations and decision support systems. In particular, to all those who enjoy interesting challenges and feel the need to actively intervene in the construction of their (and our) future.
If the student wishes to pursue further studies, the curriculum of the degree in Data Science has been created with the premise of developing extended training that can be coordinated with a 2nd cycle of studies in areas such as Applied Mathematics, Artificial Intelligence, Computer Science and Information. Graduates are able to continue with the Master in Data Science or complementing their studies with other courses, such as the Master in Integrated Decision Support Systems (MSIAD), the Master in Business Analytics (MAG), or the Master in Informatics Engineering (MEI). The latter holds the EUR-ACE Quality Mark, awarded by the European Network for Accreditation of Engineering Education (ENAEE).
In Portugal, the International Student Statute grants foreign students (from outside of the European Union) a specific number of places and access conditions. This Statute makes it possible to apply directly to certain degree courses at Iscte.
This undergraduate degree trains competent professionals who understand how and which data should be collected, organized and managed, and enables them to integrate and quickly process large volumes and wide varieties of data (Big Data). By developing their computational and mathematical reasoning, which are fundamental for Data Mining, Machine Learning and Intelligent Agents, this degree endows its graduates with strong analytical, creative and ethical skills, which translate into the ability to extract, build and analyse knowledge, and communicate it in a sustained manner, either for decision-making or the creation of new products and services.
Through the continuous and systematic use of individual and group work, the practical component is reinforced by putting students in contact with real data and challenges, proposed by a variety of guests from financial and technological companies, public administration, and bodies related to health, human and social sciences. These activities end up connecting the students to the research and innovation aspects of the course.
Once the course is finished, graduates will have at their disposal a wide range of employment opportunities and a very high rate of employability.
This degree is intended for all young people looking for a suitable training that will enable them to implement and manage analytical processes in organizations and decision support systems. In particular, to all those who enjoy interesting challenges and feel the need to actively intervene in the construction of their (and our) future.
If the student wishes to pursue further studies, the curriculum of the degree in Data Science has been created with the premise of developing extended training that can be coordinated with a 2nd cycle of studies in areas such as Applied Mathematics, Artificial Intelligence, Computer Science and Information. Graduates are able to continue with the Master in Data Science or complementing their studies with other courses, such as the Master in Integrated Decision Support Systems (MSIAD), the Master in Business Analytics (MAG), or the Master in Informatics Engineering (MEI). The latter holds the EUR-ACE Quality Mark, awarded by the European Network for Accreditation of Engineering Education (ENAEE).
In Portugal, the International Student Statute grants foreign students (from outside of the European Union) a specific number of places and access conditions. This Statute makes it possible to apply directly to certain degree courses at Iscte.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The BSc in Data Science is the first and only degree in our country developing essential skills to innovatively address the current demands of the Information Society, allowing direct intervention in the current Digital Transformation. This degree trains professionals to become knowledgeable about the entire data cycle, giving them strong analytical skills, with the ability to anticipate and meet future challenges in a world where Artificial Intelligence and automation are a large part of our reality.
This undergraduate degree trains competent professionals who understand how and which data should be collected, organized and managed, and enables them to integrate and quickly process large volumes and wide varieties of data (Big Data). By developing their computational and mathematical reasoning, which are fundamental for Data Mining, Machine Learning and Intelligent Agents, this degree endows its graduates with strong analytical, creative and ethical skills, which translate into the ability to extract, build and analyse knowledge, and communicate it in a sustained manner, either for decision-making or the creation of new products and services.
Through the continuous and systematic use of individual and group work, the practical component is reinforced by putting students in contact with real data and challenges, proposed by a variety of guests from financial and technological companies, public administration, and bodies related to health, human and social sciences. These activities end up connecting the students to the research and innovation aspects of the course.
Once the course is finished, graduates will have at their disposal a wide range of employment opportunities and a very high rate of employability.
This degree is intended for all young people looking for a suitable training that will enable them to implement and manage analytical processes in organizations and decision support systems. In particular, to all those who enjoy interesting challenges and feel the need to actively intervene in the construction of their (and our) future.
If the student wishes to pursue further studies, the curriculum of the degree in Data Science has been created with the premise of developing extended training that can be coordinated with a 2nd cycle of studies in areas such as Applied Mathematics, Artificial Intelligence, Computer Science and Information. Graduates are able to continue with the Master in Data Science or complementing their studies with other courses, such as the Master in Integrated Decision Support Systems (MSIAD), the Master in Business Analytics (MAG), or the Master in Informatics Engineering (MEI). The latter holds the EUR-ACE Quality Mark, awarded by the European Network for Accreditation of Engineering Education (ENAEE).
In Portugal, the International Student Statute grants foreign students (from outside of the European Union) a specific number of places and access conditions. This Statute makes it possible to apply directly to certain degree courses at Iscte.
This undergraduate degree trains competent professionals who understand how and which data should be collected, organized and managed, and enables them to integrate and quickly process large volumes and wide varieties of data (Big Data). By developing their computational and mathematical reasoning, which are fundamental for Data Mining, Machine Learning and Intelligent Agents, this degree endows its graduates with strong analytical, creative and ethical skills, which translate into the ability to extract, build and analyse knowledge, and communicate it in a sustained manner, either for decision-making or the creation of new products and services.
Through the continuous and systematic use of individual and group work, the practical component is reinforced by putting students in contact with real data and challenges, proposed by a variety of guests from financial and technological companies, public administration, and bodies related to health, human and social sciences. These activities end up connecting the students to the research and innovation aspects of the course.
Once the course is finished, graduates will have at their disposal a wide range of employment opportunities and a very high rate of employability.
This degree is intended for all young people looking for a suitable training that will enable them to implement and manage analytical processes in organizations and decision support systems. In particular, to all those who enjoy interesting challenges and feel the need to actively intervene in the construction of their (and our) future.
If the student wishes to pursue further studies, the curriculum of the degree in Data Science has been created with the premise of developing extended training that can be coordinated with a 2nd cycle of studies in areas such as Applied Mathematics, Artificial Intelligence, Computer Science and Information. Graduates are able to continue with the Master in Data Science or complementing their studies with other courses, such as the Master in Integrated Decision Support Systems (MSIAD), the Master in Business Analytics (MAG), or the Master in Informatics Engineering (MEI). The latter holds the EUR-ACE Quality Mark, awarded by the European Network for Accreditation of Engineering Education (ENAEE).
In Portugal, the International Student Statute grants foreign students (from outside of the European Union) a specific number of places and access conditions. This Statute makes it possible to apply directly to certain degree courses at Iscte.
Admission Requirements
An international candidate is considered to be one who:
- has no Portuguese nationality;
- is not national of a member state of the European Union;
- is not a family member of Portuguese or EU national;
- has not resided legally in Portugal for more than two years uninterruptedly;
- has not applied for entry into higher education through the special regimes;
- does not enjoy equal rights and duties under an international treaty granted between the Portuguese State and that of which they are nationals.
25 Jun 2025
3 Years
Sep
Tuition fees
Domestic
697 EUR
International
7,000 EUR
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