Master in Artificial Intelligence for Management de GBSB Global Business School

Master in Artificial Intelligence for Management de GBSB Global Business School

GBSB Global’s Master in Artificial Intelligence for Management bridges the gap between AI technology and business leadership. Available in Barcelona, Madrid, and Online, it equips managers and professionals with the skills to apply AI strategically across organisational functions.

INICIO: Abierto
2026
DURACIÓN: 9 meses
HORAS LECTIVAS: Evening
 

OBJETIVOS

 

This programme develops AI-literate business leaders capable of identifying, evaluating, and implementing artificial intelligence solutions to drive organisational performance. Without requiring deep programming expertise, learners gain a thorough understanding of AI and machine learning concepts, data-driven decision-making, and the ethical and regulatory dimensions of AI deployment. The curriculum prepares graduates to lead AI transformation projects, manage data teams, and integrate AI into business strategy.

A QUIÉN VA DIRIGIDO

 

Aimed at: managers and business professionals who want to leverage AI without becoming data scientists; consultants and strategy professionals advising organisations on digital transformation; entrepreneurs building AI-powered products or services; and graduates from business, management, or social sciences who want to develop AI competencies for leadership roles.

REQUISITOS

 

Bachelor’s degree and transcripts, proof of English proficiency at an academic level, recommendation letter, motivation letter, CV, admissions interview.

TITULACIÓN

  Másters Propios

TEMARIO

 

The programme introduces AI and machine learning concepts for non-technical managers, covering data analytics, natural language processing, computer vision, and generative AI, alongside AI strategy, ethics, and change management. Learners develop the knowledge to evaluate, deploy, and govern AI solutions across business functions.

COMPETENCIAS

 

Graduates can identify and assess AI opportunities for business value; communicate effectively with data science and technology teams; lead AI implementation and adoption projects; apply data analytics to strategic decision-making; and ensure ethical, responsible governance of AI in organisational contexts.