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The Master's Degree in Artificial Intelligence is based on an active, applied and interdisciplinary methodology, which combines academic rigour with practical experience. The teaching approach is oriented towards solving real problems through collaborative projects, simulations, case studies and technological laboratories.
Throughout the program:
- You will apply the knowledge acquired in real or simulated environments for the development of AI solutions in a practical way.
- You will work with real data, professional tools and state-of-the-art development environments.
- You will participate in transversal projects that integrate different areas of the program: machine learning, computer vision, language processing, robotics or big data.
- You will develop key competencies in technical leadership, teamwork, communication of results and data-driven decision-making.
- You will receive training in ethics, legislation and transparency of intelligent systems, with a responsible perspective and focused on social impact.
Master's Degree Final Project
For the Master's Final Project, you will choose the challenge that best suits your interests and preferences. The challenges are proposed by leading companies in the sector, whose professionals will act as mentors throughout the process.
Smart Learning
Teaching and learning no longer respond to a single format. Today's training requires flexibility: different methods that are intelligently adapted to the needs of each student.
La Salle Campus Barcelona was a pioneer in incorporating technology into education. Since September 2020 we have been applying Smart Learning, a model that combines face-to-face, blended, distance and online formats, and that adjusts to the needs of each program and each student.
This model reinforces our "Learning by Challenge" method, which is based on four pillars: technology, innovation, entrepreneurship and internationalization. The objective is to train people with values, people who add up. The student is at the center of the process, and the process responds to what students, society and companies need today.