Skip to main content

Connect with innovation

Masters

ValgrAI, committed to promoting education and training in Artificial Intelligence and related disciplines in the Comunitat Valenciana, provides robust support to master’s students at the five public universities in the region. These institutions include the Universitat de València, the Universitat Politècnica de València, the Universitat d’Alacant, the Universitat Jaume I de Castelló, and the Universidad Miguel Hernández de Elche.

Through a program of financial aid, ValgrAI offers selected students a significant amount to cover all or part of their tuition fees and other costs associated with their education. This financial backing not only alleviates the economic burden on students but also helps attract and retain talent in the AI field within the Comunitat Valenciana, thereby fostering innovation and technological development in the region.

January 4 2023

Master’s Degree in Data Science

Universidad de València - Campus de Burjassot2.250 hoursES

January 10 2023

Master’s Degree in Artificial Intelligence, Pattern Recognition and Digital Imaging

Universitat de Politècnica de València - Campus de Vera1.500 hoursES

January 10 2023

Master’s Degree in Software System Engineering and Technology

Universitat de Politècnica de València - Campus de Vera1.500 hoursES

January 10 2023

Master’s Degree in Data Analysis, Process Improvement and Decision Support Engineering

Universitat de Politècnica de València - Campus de Vera1.500 hoursES

January 10 2023

Master’s Degree in Data Science

Universitat d'Alacant1.500 hoursES

January 10 2023

Master’s Degree in Intelligent Systems

Universitat Jaume I1.500 hoursEN

January 10 2023

Master’s Degree in Computational Statistics and Data Science for Decision Making

Universidad Miguel Hernández1.500 hoursES

January 10 2023

Master’s Degree in Robotics

Universitat Miguel Hernández - Campus de Elche1.500 hoursES
master-ia-ua

July 19 2023

Master’s Degree in Artificial Intelligence

Universitat d'Alacant1.500 hoursES