Master en Inteligencia Artificial para los Negocios

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Matrícula anticipada

Embark on a career that shapes the future

This Master in Artificial Intelligence for Business equips you to lead in the data-driven future. The program goes beyond technical skills, transforming you into a strategic leader who can leverage AI to optimize business operations and drive innovation.

You'll gain expertise in AI technologies, data analysis, and ethical considerations, all while developing strong communication and collaboration skills.

This program is ideal for recent graduates or early-career professionals with a STEM background or a passion for data and modeling, launching you towards a fulfilling career shaping the future of business.

Join us to unlock a world of opportunities where your expertise not only advances your career but also shapes the future of industries.

  • Curso: Master en Inteligencia Artificial para los Negocios
  • Modalidad: Presencial
  • Ubicación: Barcelona, España
  • Idioma: Inglés
  • Experiencia requerida: 0 - 5 años
  • Dedicación: Tiempo completo
  • Horarios: Lunes a viernes
  • Próximo inicio: 5 Oct. 2026
  • Duración: 9 meses

Objectives

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Technical Proficiency

Acquiring in-depth knowledge in AI technologies, including Python programming, database design, and cloud computing, enabling them to effectively leverage AI tools and platforms in business settings.

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Strategic Integration

Developing an understanding of how AI can be strategically integrated into business operations, empowering students to identify opportunities, optimise processes, and drive innovation across diverse industries.

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Ethical and Responsible AI

Instilling a strong sense of ethics and responsibility in AI development and deployment, ensuring that graduates are equipped to navigate complex ethical and legal considerations and uphold societal values in their AI initiatives.

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Data-driven Decision Making

Cultivating the ability to analyse and interpret data effectively, leveraging statistical techniques and business analytics to derive actionable insights and support informed decision-making at both strategic and operational levels.

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Collaborative Problem-solving

Promoting teamwork, communication, and collaboration skills through hands-on projects, industry collaborations and the Leadership Module, preparing students to work effectively in multidisciplinary teams and tackle real-world AI challenges in collaborative environments.

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Programa dirigido a:

Recien graduados y profesionales al inicio de su carrera que:

Tienen una formación en STEM y están interesados en aprovechar sus habilidades técnicas para un futuro en la gestión empresarial. El programa les proporcionará los conocimientos de negocios necesarios para hacer una transición fluida a este nuevo campo.

Provienen de diversos orígenes y puede que no tengan experiencia directa en ciencia de datos o inteligencia artificial, pero poseen una gran aptitud para las matemáticas y el modelado. El programa les proporcionará las habilidades especializadas necesarias para la toma de decisiones basada en datos e inteligencia artificial.

¿Por qué el Master en Inteligencia Artificial para los Negocios en EADA?

01

Domina la fusión entre la IA y la estrategia empresarial

Lidera el futuro impulsado por la inteligencia artificial combinando la estrategia empresarial con competencias avanzadas en IA para fomentar la innovación y resolver retos reales en un entorno basado en datos.

02

Adquiere conocimientos con un plan de estudios alineado con la industria

Aprende Python, computación en la nube, análisis de datos, machine learning, aplicaciones de LLM y obtén la certificación de AWS de la mano de expertos del sector e investigadores con doctorado, con un impacto real en el ámbito empresarial de la IA.

03

Aprendizaje práctico: desarrolla soluciones reales de IA

Aplica tus conocimientos en proyectos reales con empresas, incluido el Datathon o un proyecto final práctico, en clases reducidas y multiculturales, creando resultados tangibles como modelos de machine learning, prototipos y estrategias empresariales basadas en IA.

04

Desarrolla tus habilidades de liderazgo en un campus de formación único

Refuerza tus capacidades de trabajo en equipo, negociación y liderazgo en el Campus Residencial de Formación de EADA en Collbató, en plena montaña de Montserrat, preparándote para liderar organizaciones impulsadas por la tecnología.

05

Impulsa tu éxito con apoyo profesional y una red global de alumni

Obtén una ventaja competitiva con el apoyo profesional personalizado, las conexiones y colaboraciones con empresas, la red global de alumni y la posibilidad de ampliar horizontes mediante un programa de intercambio opcional.

06

Estudia en Barcelona, un hub de innovación tecnológica y empresarial

Estudia en el corazón de Barcelona, uno de los principales hubs tecnológicos y de startups de Europa, y conecta con profesionales de la IA y redes empresariales dinámicas.

#30

mejores Escuelas de Negocios de Europa European Business School Rankings Financial Times 2025

#4

Nivel (Transforming school) Positive Impact Rating For Business Schools The Positive Impact Rating Association 2025

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Your Master in Artificial Intelligence for Business

Máster Oficial – 60 ECTS

Las personas candidatas que cumplan los requisitos recibirán un título oficial de máster de 60 ECTS. Contacta con nuestro equipo para recibir más información.

Management Core

Global Compass: Geoeconomics & Geopolitics
Operations
Financial Analysis for Managers
Strategic Management
Marketing: Creating Value
Case Methodology

Technology Core

Technical Project Management
Python Programming
Database design and Data analysis
Business analytics
Cloud computing - AWS (Certification)
Technical Case Study
Advanced  Python

AI Specialisation *

Datathon / Company Collaboration
Statistics for Business
Artificial intelligence and Machine Learning
Deep Learning + LLM
AI Ethics & Safety
Data Analysis with PowerBi
ML Operations and System Design
AI for Finance Applications
AI for Marketing

**Specialisations and courses in each specialisation are subject to change.

Complementary components

Datathon / Company Collaboration
Company visits, presentations & conferences
Practical Final Project
Exchange & Double Degree (optional)

Leadership development programme

Leading Oneself
Leading in Teams
Leading across the Organisation
Leading Oneself in Society

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Final project

Make an Impact: Develop with your teammates a hands-on project with our corporate partners.

The final project at EADA consists of hands-on collaboration with a company. During the project, students choose a project that requires them to work in small teams for several months. Each project is unique, and students are free to select areas that inspire them the most, whether it's creating machine learning models to forecast electricity consumption or designing financial strategies to maximise revenue.

Throughout the course, students are assigned a mentor from EADA and another from the company. The EADA mentor guides them and helps them leverage the skills acquired in the classroom, while the company mentor assists them in framing the business understanding of the project and navigating its complexities.

Through these collaborations, our students engage in real-world projects, adding value to companies and gaining invaluable experience. Bridging the gap between theory and practice is of utmost importance when preparing future leaders in technology.

Datathon

Analyse, develop and pitch: Collaborate with classmates in a week long competition to develop the mindset of leading innovators through the Disruptive Innovation methodology.

The Datathon is a week-long immersive competition designed to spark innovation and foster collaboration among students. During this intensive event, participants will work in teams to tackle real-world data science projects provided by leading companies. Throughout the competition, teams will leverage all the knowledge acquired in class to address these business problems.

From a technical perspective, students will analyse real, complex datasets, extract insights, and develop machine learning models for predictions. However, they won't be evaluated solely on technical performance; students will also need to present their results, demonstrate a deep understanding of the business context, and propose actionable solutions.

By working on authentic projects sourced directly from industry partners, students will gain invaluable practical experience and develop the problem-solving skills essential for success in the rapidly evolving field of Artificial Intelligence. The collaborative nature of the Datathon will demand teamwork, communication, and adaptability from students, empowering them to thrive in the dynamic and interdisciplinary environments of their future careers.

Your conferences & off-campus visits

See best practices in action.

Networking with leading professionals in the classroom

Conferences and off-campus visits in collaboration with leading organisations are an integral part of the programme, providing you with the opportunity to network with world–renowned professionals from around the world. You gain an inside look into the culture and day-to-day life of a wide range of organisations and explore different professions in real operating environments.

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Conéctate con estudiantes actuales para preguntar sobre:

  • Contenido del programa, carga de trabajo y estilo de enseñanza
  • Cultura del campus, clubes y comunidad
  • Servicios de carrera, networking y oportunidades laborales
  • Vivir en Barcelona, incluyendo costos y consejos de estilo de vida