Master of Science in Artificial Intelligence

Develops and implements artificial intelligence technological solutions applied to real challenges in society and industry.

Nid: 28358
Syllabus
Syllabus

1. Fundamentals of Artificial Intelligence (20 ECTS)

  • Fundamentals of statistics and machine learning (5 ECTS)
  • Artificial intelligence infrastructures and big data management (5 ECTS)
  • Optimization (5 ECTS)
  • Prediction (5 ECTS)

2. Technologies and Applications of Artificial Intelligence (20 ECTS)

  • Neural networks and deep learning (5 ECTS)
  • Computer vision (5 ECTS)
  • Natural language processing (5 ECTS)
  • Autonomous robotic systems (5 ECTS)

3. Artificial Intelligence Projects (10 ECTS)

  • Artificial intelligence projects and industrial applications (5 ECTS)
  • Regulations, transparency, and explainability (5 ECTS)

4. Master's Final Project (10 ECTS)

  • This is the synthesis of the master’s degree and is developed through a study, design, and implementation of a project in the field of artificial intelligence.