Master’s Degree in Technology Management and Applied Artificial Intelligence
Program Details
Program Details
Academic Information
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Objectives
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Study Plan
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Subjects
Teaching Team
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Career Opportunities
Calendars and Schedules
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Calendars
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Schedule
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Details of the Master’s Degree in Technology Management and Applied Artificial Intelligence
Start: 16/10/2026
Duration: 9 months
Schedule: On-Site: Wednesdays from 6:00 PM to 9:00 PM (Streaming), Fridays from 4:00 PM to 8:00 PM, and Saturdays from 9:30 AM to 1:30 PM (On-Site)
Schedule: Online: Fridays from 6:00 PM to 9:00 PM and Saturdays from 10:00 AM to 1:00 PM (Streaming). Wednesdays from 6:00 PM to 7:00 PM (Masterclass – Streaming)
The Master’s Degree in Technology Management and Applied Artificial Intelligence at Euncet Business School prepares professionals to lead digital transformation in both productive and service sectors. In an increasingly digital global environment, organizations need leaders who can integrate advanced technologies, such as artificial intelligence, intelligent automation, and data analytics, to improve business processes and align innovation with strategic objectives.
This master’s program equips professionals to integrate advanced technologies into business strategy, enhancing competitiveness, optimizing processes, and creating new growth opportunities.
With an action-oriented perspective, the program combines adaptive leadership, technology management, and the application of artificial intelligence to drive innovation and transformation within organizations.
Want to transform your career? Request more information about the Master’s Degree in Technology Management and Applied Artificial Intelligence.

Master’s Degree in Continuing Education in Technology Management and Applied Artificial Intelligence – Proprietary degree recognized by the Universitat Politècnica de Catalunya (UPC)
Proprietary Master’s Degree in Technology Management and Applied Artificial Intelligence by Euncet Business School
Academic Information
Master’s Degree in Technology Management and Applied Artificial Intelligence
Start:
16 October 2026
End:
On-Site/Streaming: 03/07/2027
Online/ Streaming: 17/07/2027
Duration:
9 months
Language:
Spanish, Catalan
Credits:
On-site/Streaming: 60 ECTS (360 hours)
Online/Streaming: 60 ECTS
Price:
On-site/Streaming: 8.400 € | Early registration: 7.200 €
Online/Streaming: 6.480 € | Early registration: 4.200 €
Methodology of the Master’s Degree in Technology Management and Applied Artificial Intelligence
The learning process at Euncet Business School - UPC combines practical and innovative methodologies aimed at developing strategic, technological, and leadership competencies. It enables participants to apply artificial intelligence, automation, and advanced analytics in real organizational environments.
- Technological and strategic case studies: analysis of real or simulated situations where AI and digital transformation play a leading role. Students design solutions applied to production processes, intelligent services, or new business models.
- Simulator- and digital environment-based learning: use of platforms and simulators to experiment with AI tools, digital twins, intelligent dashboards, and automation systems, assessing the impact of their decisions in a safe and controlled environment.
- Applied executive projects: development of an integrative project in technology management and artificial intelligence that enables students to design, implement, and present strategic solutions, considering innovation, data governance, ethics, and hybrid team leadership.
- Seminars, masterclasses, and workshops with professionals: interaction with experts, executives, and industry leaders from sectors such as Industry 4.0, mobility, healthcare, retail, and fintech, providing insight into trends, technological innovation strategies, and best practices in AI adoption.
- Personalized tutoring: on-campus and online sessions where students receive guidance on the practical application of artificial intelligence, the development of the executive project, and the integration of managerial, technological, and human competencies.
- Company visits and technological innovation labs: hands-on experiences in environments where AI solutions, automation, and data analytics are implemented, observing real digital transformation processes and high-value strategic projects.
Study Plan
Master's Degree Programme in Technology Management and Applied Artificial Intelligence
The curriculum of the Master’s Degree in Technology Management and Applied Artificial Intelligence consists of 60 ECTS credits, organized into two major thematic blocks and an integrative executive project. The structure is designed to provide solid, applied training in all key aspects of technology management, artificial intelligence, and leadership in digital and complex environments.
The program combines strategic and managerial knowledge with the technical skills required to lead digital transformation and technological innovation projects across various sectors.
Credit distribution
| Type of course | ECTS |
| First block subjects | 30 |
| Second block subjects | 30 |
| Total | 60 |
Subjects of the Master's Degree in Technology Management and Applied Artificial Intelligence
First Block
Second Block
| MATERIA | ECTS |
Dirección Estratégica y Modelos de Negocio con Inteligencia Artificial | 10 |
Inteligencia Artificial para la Toma de Decisiones Directivas | 10 |
Gobierno del dato, Ética y Regulación de la Inteligencia Artificial | 10 |
| SUBJECT | ECTS |
Strategic Management and Business Models with Artificial Intelligence | 10 |
Artificial Intelligence for Executive Decision-Making | 10 |
Data Governance, Ethics, and Regulation of Artificial Intelligence | 10 |
On-Site/Streaming Modality
Academic Year 2026-27
Online Modality
Academic Year 2026-27
On-Site/Streaming Modality
Academic Year 2026-27
Online/Streaming Modality
Academic Year 2026-27
Teaching Team
Master’s Degree in Technology Management and Applied Artificial Intelligence
Directors
Lecturers
Subject
- Impact of the company's social, cultural, and political environment
Education
- Postgraduate in Political Analysis and Communication, ICPS (Autonomous University of Barcelona), 2004.
- Degree in Political Science and Public Administration, Autonomous University of Barcelona, 2002.
Academic and Professional Experience
- Director of the Catalan Sports Council. Department of the Presidency. Government of Catalonia, 2021 - 2024.
- Secretary General. Department of Foreign Action, Institutional Relations and Transparency, Government of Catalonia, 2019 - 2021.
- Director General of Institutional Relations. Department of Foreign Action, Institutional Relations and Transparency, Government of Catalonia, 2018 - 2019.
- Secretary General of the Department of Foreign Affairs, Institutional Relations and Transparency, Government of Catalonia, 2016 - 2018.
- Deputy Director, Joan Miró Foundation, 2011 - 2016.
- Chief of Staff to the Minister, Department of Culture and Media. Government of Catalonia, 2006 - 2010.
Subject
- Management Skills
Euncet research line
- Business, economy and society
Research
- ORCID: 0009-0007-3557-8370.
Studies
- PhD in Economics, UB.
- PhD in Economics, Universidad Nacional de La Matanza.
- Bachelor’s Degree in Production Organisation, Universidad Argentina de la Empresa.
- Bachelor's Degree in Industrial Engineering. Universidad Argentina de la Empresa.
- Postgraduate Executive Program: Creativity and Innovation with Foundations in Neuroscience.
Academic and professional experience
- Academic and professional experience
- Director of the Bachelor's Degree in Industrial Engineering at the Universidad de la Marina Mercante.
- Associate Professor at the Universidad de la Marina Mercante.
- Professor at the Universidad Nacional de Avellaneda.
- Consultant and external advisor to the Universidad Nacional General Sarmiento.
- Project leader at Eulen Argentina SA from 2011 to 2013.
Most relevant publications
- Maresca, Gabriel Gustavo (2024). Conventional work versus teleworking: a case study in an Argentine public university. European Public & Social Innovation Review. ISSN 2529-9824. Indexed: SJR Q3 (teaching). Impact factor 0.2 (2023). H-Index: 4. Open Access Journal by HISIN (History of Information Systems). Article accepted for publication during 2024.
- Maresca, Gabriel Gustavo (2024). Diagnosis of teleworking in Argentina during the pandemic: application of the Telework Efficiency Index. Revista Administrative Sciences ISSN 2076-3387. DOI: https://doi.org/10.3390/admsci14070135. Indexed: JCR Q2 (management) Factor de impacto 3.0 (2023) / SJR Q2 (general business, management y accounting). Adm.Sci.2024, Volumen 14, Issue 7,135. Open Acces Journal by MDPI.
- Maresca, Gabriel Gustavo (2024). Design of diagnostic instrument: Telework Efficiency Index. Journal of Social and Environmental Management. ISSN 1981982X. DOI: https://doi.org/10.24857/rgsa.v18n8-083. Indexed: SJR Q4. (Management, Monitoring, Policy and Law) 0.197 (2023). Open Access. Volume 18, Issue 82024 Article number e05568.
- Maresca, Gabriel Gustavo (abril, 2024). Diagnosis of teleworking performance in Argentina during the pandemic, through the application of the Telework Efficiency Index. Advance SAGE Community (PrePrint).
- DOI: https://doi.org/10.31124/advance.171267170.02664818/v1
Studies
- NUCLIO Digital School, 2022 – Masters in Digital Product Management
- Kschool, School of Internet Professionals, 2016 – Master in Usability and User Experience (UX)
- Universitat Politècnica de Catalunya (UPC), 2014 – Postgraduate in Design Management
- LAI Higher School of Design, 1993 – Higher Degree in Graphic Design
Experience
- Brand Strategist · Art Director · AI Driver · Digital Designer UX/UI
- AI Creative Designer at Founderz
- Creative direction / Art direction and digital design in advertising agencies such as DoubleYou, Herraiz Soto & El Laboratorio, McCann Erickson and Lorente Grupo de Comunicación, developing integrated campaigns for clients including Audi, Nike, Mahou, IKEA, BBVA, Coca-Cola and Campofrío.
Studies
- Executive MBA (Master in Business Administration), Online Business School (OBS).
- BSc in Computer Engineering, Universitat Oberta de Catalunya (UOC).
- Master's Level Certificate in Geographic Information Systems (GIS), Universitat Politècnica de Catalunya (UPC)
- MSc and BSc in Geology, Universitat de Barcelona (UB).
- Specialization Certificates: Full Competency Certificate, Data Science with Python Track (DataCamp) · Certificate, Customer-Centric Product & Service Design (Cornell University)
Experience
- Chief Technology & Product Officer (CTPO) and Partner, The Neverrest Project, 2023–Present
- Global Director of AI & Data, KeenFolks, 2024–Present
- Product Director, Novastudio, 2023–2024
- Innovative Data & AI Product Manager and Strategy Director, AGBAR / SUEZ / VEOLIA, 2014–2023
- Industry Manager Executive, ESRI Spain, 2011–2014
Studies
- MBA in Economics, Investments and Banking, Universidade de São Paulo (USP), Brazil, 2024
- Master’s in ESG and Corporate Sustainability, Fundação Getulio Vargas (FGV), Brazil, 2022 – 2023.
- Bachelor’s Degree in Social Communication and Journalism, Universidade Presbiteriana Mackenzie, Brazil, 2001 – 2005.
Experience
- Marcelli D’Andrea is a specialist in marketing strategy and consumer intelligence, with more than 15 years of experience in digital platforms and media. Her work focuses on global marketing, consumer behavior and data-driven decision-making in multi-market contexts. She has held senior positions at companies such as TikTok, Brandwatch and News UK, advising executive teams on growth, brand governance and audience strategy
Studies
- Certified Scrum Manager – Certification nº 29078, 2020
- Master in Artificial Intelligence – Universitat Politècnica de València, 2010-2012
- Technical Degree in Computer Engineering, Software Engineering specialization – Universitat Politècnica de València, 2006-2009
Experience
- CEO, Dekalabs, 2022 - present. Strategic direction of software development company with clients including Bayer, Telefónica, Sanitas and Mastercard. Revenue growth of 40% (from €1.6M to €2.3M)
- Product Manager & COO, Dekalabs, 2018-2022. Digital product management and operations direction. Created Innovation Week program and achieved 20% productivity improvements
- CPO & Co-founder, Sinncex, 2015-2019. SaaS platform for logistics management with integrated predictive AI for shipment optimization. Software acquired by a client
- CEO & Founder, Bitsnbrains, 2011-2014. Software development company
- Java & Python Developer – Freelance, 2007-2010
Studies
- Bachelor's Degree in Business Administration and Management, UOC, 2026.
- Master's Degree in Secondary, Baccalaureate and Vocational Training Teaching (Specialization in Mathematics), UAB, 2020.
- Executive MBA, Camilo José Cela University, 2011.
- Industrial Engineering (MSc), Polytechnic University of Catalonia, 2009.
Experience
- Lecturer, Polytechnic University of Catalonia, Pompeu Fabra University, UOC, 2021 – present.
- Senior Consultant in Business Strategy and Operations, 2021 – present.
- Chief Operating Officer, G+D, 2019 – 2025.
- Operations Manager, Amazon, 2016 – 2019.
- Plant General Manager, Relats, 2014 – 2016.
- Production Manager, Saint-Gobain, 2009 – 2014.
Studies
- IBM Professional Certificate in Data Science
- Certificate of Pedagogical Aptitude (CAP), Technology specialization, Universitat Politècnica de Catalunya (UPC)
- Degree in Audiovisual Communication, Universitat Oberta de Catalunya (UOC)
- Technical Telecommunications Engineering, Telecommunications Systems specialization, Universitat Politècnica de Catalunya (UPC)
Experience
- Telecommunications Engineer with experience in technology projects, data, and digital systems
- Participation in projects related to data, automation, and applied AI in professional environments
Studies
- Master in Business Administration (xMBA) – EADA, 2017-2018
- Machine Learning – Stanford University, March 2020
Experience
- Chief Executive Officer, Datision · Oct. 2024 - present · 1 year 5 months
- Business, Strategy & Innovation Director | BPM & RPA & ECM & AI – VILT · Nov. 2021 - Nov. 2024 · 3 years 1 month
- Strategy & Innovation Director | AI & Martech SaaS – Please Point · 2019 - Nov. 2021 · 2 years 7 months
- Director of Innovation & Digital Transformation Projects – Vilt Group · 2017 - May 2019 · 2 years 5 months
- Business Development for AI-based SaaS projects – Beabloo · 2014 - Jan. 2017 · 2 years 4 months
Studies
- Political Science, Universitat Oberta de Catalunya, present
- AI for Innovation Management, Microsoft, 2024
- Business Intelligence and Digital Strategy, Foundez, 2023
- Nonprofit Financial Stewardship, Harvard Kennedy School, 2020
- Management of Consulting Companies, IESE, 2019
- MBA, ESADE, 2002
- Marketing in Services, University of Oxford, 1993 - 1994
- Law Degree, University of Barcelona, 1992
Experience
- Director, Unlock Engagement, 2021 - present
- Business & Digital Development Director, Team Heretics, 2020 - 2021
- Director of the Foundation, Futbol Club Barcelona ABJ, 2015 - 2020
- CEO, Federation of Hiking Entities of Catalonia, 2014 - 2015
- CEO, Recicat, 2007 - 2014
Career Opportunities
Master’s Degree in Technology Management and Applied Artificial Intelligence
The Master’s Degree in Technology Management and Applied Artificial Intelligence enables professionals to lead digital transformation and management of technology-driven companies, turning them into hybrid profiles capable of integrating strategy, information systems, enterprise technologies, and leadership.
Upon completing the program, the main career opportunities include:
- Digital Transformation Director
- Chief Technology Officer (CTO)
- Head of Technological Innovation
- Artificial Intelligence Project Director
- Digital Transformation Consultant
- Head of Data & AI Strategy
- Intelligent Automation and Process Leader
- Technology Governance Consultant
- Entrepreneur in Technological and Digital Solutions
Marc Pidemont
Executive Education Student
"Thanks to Executive Education I have been able to expand my contact network by meeting colleagues with the same interests and entrepreneurial initiative as me. In addition, I have received personalised advice from professors with a real history in the business world."
Why study the Master’s Degree in Technology Management and Applied Artificial Intelligence at Euncet?
STRATEGIC AND TECHNOLOGICAL VISION
This master’s program prepares you to integrate emerging technologies and artificial intelligence solutions into business models. It also enables you to optimize processes and develop new services with a competitive advantage, aligning technological innovation with strategic objectives and digital business models.
LEADERSHIP AND HUMAN SKILLS
Develop leadership skills, emotional intelligence, and change management capabilities applied to complex technological environments.
COMPREHENSIVE VIEW OF BUSINESS AND TECHNOLOGY
You will learn to manage multidisciplinary teams and high-impact projects in sectors such as Industry 4.0, mobility, health, retail, finance, tourism, and services.
RESPONSIBLE DIGITAL TRANSFORMATION
Train yourself to lead the digitalisation of global organisations, applying technological governance, ethics and sustainability criteria.
Other Euncet Master's Degrees
Frequently Asked Questions
Master’s Degree in Technology Management and Applied Artificial Intelligence
The master's degree is designed for professionals with work experience who seek to lead digital transformation projects, technological innovation and artificial intelligence implementation in their organisations. It is ideal for executives, technology project managers, consultants and entrepreneurs in the technology sector.
This programme combines managerial vision and advanced technological skills, integrating artificial intelligence, automation and digital project management tools with a strategic approach. The training focuses on practical application in real business environments, preparing students to lead digital transformation in a comprehensive manner.
Students develop skills to:
- Lead innovation and digital transformation projects
- Manage multidisciplinary teams in technological environments
- Make decisions based on data and artificial intelligence
- Design strategies for digitisation and process automation
- Implement technological solutions and AI projects with business impact
The learning programme combines:
- Real and simulated case studies, to apply solutions to specific problems
- Projects and simulators, where strategic and technological decisions can be tested
- Workshops and masterclasses with leading professionals in the digital and technological sector
- Personalised tutorials, both in person and online, to answer questions and guide project development
Contact with us
Georgina Navarro
Executive Education Advisor