48 monthsProgramme duration
4Scholarships
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Undergraduate
Study Mode
On Campus
The Bachelor in Artificial Intelligence and Data Science at La Salle–URL offers an immersive, practical, and forward-looking education designed to equip students with the skills needed to thrive in the age of AI. In a world increasingly driven by technology, students acquire both theoretical knowledge and hands-on experience in areas such as machine learning, deep learning, natural language processing, computer vision, and robotics. The program emphasizes problem-solving, creativity, and innovation, preparing students to design intelligent systems, optimize processes, and deliver data-driven solutions for organizations across multiple industries.
From day one, students engage with real-world challenges, using cutting-edge technologies and participating in laboratories and project-based work that combine theory with practice. This approach ensures graduates are ready to apply their expertise to tackle complex challenges in business, healthcare, energy, finance, public administration, marketing, and beyond. With a curriculum that balances technical rigor with practical application, students are prepared to lead AI-driven innovation in a globalized context.
From day one, students engage with real-world challenges, using cutting-edge technologies and participating in laboratories and project-based work that combine theory with practice. This approach ensures graduates are ready to apply their expertise to tackle complex challenges in business, healthcare, energy, finance, public administration, marketing, and beyond. With a curriculum that balances technical rigor with practical application, students are prepared to lead AI-driven innovation in a globalized context.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Undergraduate
Study Mode
On Campus
The Bachelor in Artificial Intelligence and Data Science at La Salle–URL offers an immersive, practical, and forward-looking education designed to equip students with the skills needed to thrive in the age of AI. In a world increasingly driven by technology, students acquire both theoretical knowledge and hands-on experience in areas such as machine learning, deep learning, natural language processing, computer vision, and robotics. The program emphasizes problem-solving, creativity, and innovation, preparing students to design intelligent systems, optimize processes, and deliver data-driven solutions for organizations across multiple industries.
From day one, students engage with real-world challenges, using cutting-edge technologies and participating in laboratories and project-based work that combine theory with practice. This approach ensures graduates are ready to apply their expertise to tackle complex challenges in business, healthcare, energy, finance, public administration, marketing, and beyond. With a curriculum that balances technical rigor with practical application, students are prepared to lead AI-driven innovation in a globalized context.
From day one, students engage with real-world challenges, using cutting-edge technologies and participating in laboratories and project-based work that combine theory with practice. This approach ensures graduates are ready to apply their expertise to tackle complex challenges in business, healthcare, energy, finance, public administration, marketing, and beyond. With a curriculum that balances technical rigor with practical application, students are prepared to lead AI-driven innovation in a globalized context.
Admission Requirements
6+
90+
The requirements vary depending on your individual application. The requirements are different depending on the year of admission and the country where you took your previous studies.
If you are a first-year student there are three options depending on the student's origin:
- Students from the Spanish educational system.
- Students from European education systems, Switzerland, International Baccalaureate, China or other countries with bilateral agreements with Spain.
- Students from other education systems.
4 Years
Sep
Scholarships
Value
10% tuition fee waiver
Deadline
31 Jul 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
INTERNATIONAL ACADEMIC EXCELLENCE SCHOLARSHIP
INTERNATIONAL ACADEMIC EXCELLENCE SCHOLARSHIP
Bachelors
Open
Value
70% tuition fee waiver
Deadline
31 Jul 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
Value
60% tuition fee waiver
Deadline
31 Jul 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
Value
30% tuition fee waiver
Deadline
31 Jul 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
More programmes from the university
Frequently Asked Questions
This degree is designed for students who want to be at the forefront of technological transformation and data-driven decision-making. By studying Artificial Intelligence and Data Science, students gain a holistic understanding of AI systems and their applications, combining technical expertise with strategic thinking. The program encourages innovation and critical thinking, allowing students to develop customized AI solutions for real companies, optimize processes, and contribute to ethical and responsible AI implementation.
Students also benefit from a practical and internationally oriented program, including lab work, challenge-based projects, and exposure to real AI tools. Graduates leave with a versatile professional profile, ready to take on positions that require both technical proficiency and problem-solving abilities, enabling them to shape the future of AI in multiple sectors.
The teaching methodology is highly practical and hands-on, built on La Salle’s Learning by Challenge approach. Students work on projects that integrate programming, mathematics, statistics, algorithms, and AI techniques, applying knowledge to real-world problems. Laboratory work, cooperative projects, and project-based learning foster teamwork, communication, and interpersonal skills, while ensuring that students gain a deep understanding of AI concepts in practice.
Through this methodology, students develop advanced technical skills in programming, machine learning, deep learning, and data management, while cultivating analytical thinking, creativity, and ethical awareness. The program encourages research and innovation, preparing students to design AI solutions responsibly and to make informed, data-driven decisions.
The program is fully delivered in English on an international campus with students and faculty from nationalities, fostering a multicultural and globally minded learning environment. Students can participate in two international study tours included in the curriculum, one to the United States and one to Asia, where they explore leading technology parks, visit major ICT companies, and immerse themselves in different innovation ecosystems.
This international exposure not only strengthens technical and professional skills but also develops intercultural competence and expands global networks, preparing students to work in highly competitive multinational environments. The presence of international faculty and native-speaking instructors further enhances the global dimension of the program, providing a fully international educational experience.
Students in this program have opportunities to collaborate across multiple disciplines, integrating AI and data science with business, engineering, digital arts, and design projects. This cross-disciplinary approach encourages creative problem-solving and a broader understanding of how AI interacts with different fields. By working with peers from various academic backgrounds, students develop teamwork, leadership, and communication skills essential for addressing complex, real-world challenges.
The program also emphasizes ethical and responsible AI, encouraging students to consider the social, environmental, and business implications of their work. This ensures graduates not only possess technical proficiency but also a broad perspective on the impact of AI in society.
Graduates from La Salle–URL enter the professional world with a wide range of opportunities thanks to the program’s strong practical orientation, its international visibility, and the highly personalized academic path each student builds. They are prepared to work in architectural and engineering studios, public institutions, urban planning departments, or to start their own practice. Their training enables them to participate in new construction, restoration, rehabilitation, urbanism, landscaping, and sustainability-focused projects.
Beyond traditional architecture roles, students can also enter creative and emerging fields such as interior and furniture design, scenography, retail design, facility management, digital environments for film and video games, BIM consulting, and academic research or teaching. This diversity reflects the true strength of the program: forming architects who can adapt, innovate, and lead in an increasingly global and interdisciplinary profession.
Undergrad Programmes
20206
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