Program Overview

Executive Master in Management of AI & Machine Learning

Overview

The Executive Master in Management of AI & Machine Learning is a unique program in Spain, offered in collaboration with Middlesex University and Nebrija Business & Technology School. The program aims to form leaders who develop their careers in companies where technology, particularly AI, becomes an essential part of the business model and value creation process.

Key Program Features

• Duration: 1 or 2 years
• Start: January/October
• Access to: Microsoft certifications
• Language: Spanish
• Location: Madrid/Online

Program Description

The program focuses on understanding and managing AI as a fundamental tool in creating value in current and future businesses. The program's contents are linked to Microsoft certifications. Additionally, the program is designed to acquire a multidisciplinary orientation and promote entrepreneurial agility for creating new companies.

Why a Master in Artificial Intelligence?

• European Commission Data:
  • More than 70% of companies highlight the lack of digital management skills and technology as an obstacle to future investment and growth.
  • Over 805,000 digital leaders will be needed by 2025.
  • 70% of the value created globally in the next 10 years will be based on digital business models or new technologies.
  • Growing demand for equal gender representation in technology-related studies.

Program Structure

• Phase 1: Core modules establishing key principles related to technology management.
• Phase 2: Specialized modules designed to strengthen technological management in businesses or advanced AI and Machine Learning management.
• Phase 3: Option for an Integrative Management Project designed to drive the next stage of professional growth through a Business Plan, Thesis, or the Venture Creation Lab.

Double Degree

• Middlesex University: MSc Management (Artificial Intelligence & Machine Learning)
• Nebrija Business & Technology School: Executive Master in Management of Artificial Intelligence and Machine Learning

Teaching Model

• Hybrid and Virtual Ecosystem: Reflecting the reality of today's hybrid work environments.
• Microsoft Certifications: Access to Microsoft Learn for Educators and preparation for Microsoft Azure Data Fundamentals and Azure AI Fundamentals certifications.
• Industry Collaboration: Workshops and meetings with collaborating companies, such as Publicis Commerce, Bizum, or Sage.
• International Business Experience: Optional week at London School of Economics (LSE, UK) or Babson College (USA).

Admission Requirements

• Degree: Bachelor's degree
• Language: Spanish level B2, English level B1
• Professional Experience: Previous work experience

Admission Process

1. Document Submission
2. Application Review: The Admissions Committee evaluates each application and makes recommendations based on the candidate's profile.
3. Specific Test
4. Interview: Candidates who obtain a favorable resolution from the Admissions Committee will be invited for a 30-minute interview with the Program Director.
5. Admission Offer: Candidates who pass the admission process will receive a formal admission offer within 30 days of the interview date.

Collaborating Companies

• Publicis Spain: Partner in the program, providing talent and expertise in AI and Machine Learning.

Faculty

• Yalcin Sahankaya: Corporate Engagement Lead, BSc
• Anh Nguyen: MBA, BSc
• Dr. Djamel Khadraoui: BSc
• Dr. Botakoz Kazbek: BSc
• Prof. Gaston Fornes: Dean UBI Europe, MSc, MBA, BSc
• Dr. Beate Stiehler-Mulder: BSc
• Dr. Maria Altamira: Dean of Postgraduate Programmes & International Development
• Dr. Marcelo Leporati: Dean of Undergraduate Programmes & Learning Technologies, MSc, BSc
• Manuel Balsera García: MSc
• Dr. Mine Afacan Findikli: Deputy BSc Programme Director, BSc
• Dr. Anjali Raj Westwood: Academic Quality Director, MSc, MBA
• Dr. Javier Rovira: Brand & Marketing Consultant, MSc, MBA

Locations

• Brussels
• Luxembourg
• Shanghai
• Madrid
• HyFlex