UAX Master's in AI 2026: new curriculum with 60 ECTS and generative AI

Key data

The Spanish technology sector has had a renewed training reference since September 24, 2026: Universidad Alfonso X el Sabio (UAX) has published in the BOE the official modification of its Master's Degree in Artificial Intelligence, after obtaining favorable verification from the Fundación Madri+d in May 2026. The new curriculum is not a minor adjustment: it redefines the complete program structure with a clearly market-oriented approach and aligned with real business needs.

What does this regulation establish?

The resolution formalizes the modification of the Master's Degree in Artificial Intelligence curriculum at UAX. The new curriculum design distributes the 60 ECTS credits over two semesters and structures the training in three differentiated blocks:

Among the thematic areas covered by mandatory courses, the curriculum includes:

• Mathematics applied to AI
• Programming for artificial intelligence
• Advanced deep learning
• Natural language processing (NLP)
• Generative artificial intelligence
• AI in the business world (specific course for professional orientation)

The inclusion of a course dedicated to AI in the business environment is the most relevant element from a labor market perspective: it reflects that the program trains not only model engineers, but professionals capable of applying AI in real business contexts.

Economic and operational impact

For technology sector companies, this change has direct implications for their talent acquisition and development strategy:

• Greater availability of hybrid profiles: the new curriculum trains professionals with both technical competencies (deep learning, NLP, generative AI) and business skills (AI applied to enterprise), reducing the gap between data teams and management.
• Competitive pressure in training offerings: the UAX update may accelerate other universities to review their AI programs, expanding the supply of specialized graduates in the Spanish market.
• Internship collaboration opportunities: the 6 ECTS of external internships open a direct path for technology companies to attract talent in training and establish agreements with UAX.
• Reference for candidate evaluation: companies hiring graduates from this master's program from 2026-2027 onwards can expect specific competencies in generative AI and NLP, high-demand areas.

Who does it affect?

• Future students of the UAX Master's in AI: all those entering the program from the effective date of the new curriculum (September 24, 2026) will follow this new structure.
• Technology companies and data departments: seeking profiles with training in generative AI, deep learning or NLP for their teams.
• HR and talent acquisition departments in tech companies, consultancies and large corporations with digital transformation areas.
• Other universities with AI programs: the UAX update establishes a new reference standard in the Spanish training market.
• Companies interested in internship agreements with UAX to attract specialized AI talent.

Practical example

A mid-sized technology consultancy that regularly hires machine learning profiles can leverage this change concretely. By hiring a graduate from the new UAX Master's in AI (class of 2026-2027 onwards), the company will receive a professional who has studied not only advanced deep learning and NLP, but also a specific course on AI in the business world: this means the profile can integrate more quickly into projects requiring communicating results to management or translating business needs into AI solutions, without requiring additional internal training.

Additionally, if the consultancy establishes an internship agreement with UAX, it can access students in the 6 ECTS of external internships of the program, evaluate them in a real environment and make hiring decisions with firsthand information.

What should companies do now?

1. Update AI talent search profiles: incorporate into job descriptions the competencies from the new curriculum (generative AI, NLP, deep learning) as a reference for evaluating candidates from the UAX program.
2. Explore internship agreements with UAX: contact UAX's company-university relations service to formalize agreements covering the 6 ECTS of external internships in the master's program.
3. Review internal training strategy: if the company already has AI teams, assess whether the new master's curriculum standard covers current competency gaps (especially in generative AI and business application).
4. Monitor other universities' offerings: the UAX update may trigger similar changes in other master's programs in AI, expanding the pool of available talent in the next 12-24 months.
5. Consider the program for current employee training: the master's profile (60 ECTS, two semesters, professional orientation) may be suitable for technical company profiles wanting to specialize in AI.

Official source

View complete regulation at official source

Disclaimer: This article is for informational purposes only and does not constitute legal advice. For specific decisions, consult a qualified professional. Source: https://www.boe.es/diario_boe/txt.php?id=BOE-A-2026-19843