New Master's in Supercomputing and AI in Oviedo: 60 ECTS and Professional Opportunities in HPC

Key data

The University of Oviedo has had since July 29, 2026 a new official postgraduate degree oriented toward the application of supercomputing and artificial intelligence in scientific and business environments. The Resolution of July 16, 2026 (BOE-A-2026-16541) publishes the curriculum of the Master's Degree in Applications of Supercomputing and Machine Learning in Science and Technology, with RUCT code 3500887.

For executives of technology companies, R&D managers and talent departments, this degree represents a new source of specialized profiles in HPC and AI with regulated training and official recognition in Spain.

What does this regulation establish?

The resolution formalizes the publication of the master's curriculum, a necessary step for the degree to be taught with official validity throughout the national territory. The program is structured in four differentiated blocks:

The mandatory module covers core technical competencies: high-performance computing, machine learning and data analysis, complemented with training in legal and ethical aspects of AI, increasingly required by the European regulatory framework. Electives allow students to orient their profile toward four high-demand areas: quantum computing, biomedicine, materials science and genomics.

The verification process has followed the complete circuit: positive evaluation by ANECA, authorization by the Principality of Asturias and declaration of official status by the Council of Ministers in June 2026.

Economic and operational impact

For companies, the creation of this master's degree has three direct implications:

• New pool of specialized talent: The labor market in Asturias and nationally will have graduates trained specifically in HPC and applied AI, a scarce and highly demanded profile in sectors such as pharmaceuticals, energy, advanced materials and technology.
• External internships (6 ECTS): Companies can incorporate students in internships with a high-level technical profile, which represents a talent acquisition channel with reduced cost and the possibility of prior evaluation before hiring.
• Collaboration in Master's Thesis (12 ECTS): Master's Theses can be developed in collaboration with companies, allowing real business problems to be solved with academic and computational resources from the university.

The inclusion of legal and ethical aspects in the mandatory module is relevant for companies already adapting their processes to the European Artificial Intelligence Regulation: graduates from this master's arrive with built-in regulatory awareness, which reduces the cost of internal training in AI compliance.

Who does it affect?

• Graduates in science and engineering seeking specialization in HPC and AI with officially recognized qualification in Spain.
• R&D departments of technology companies interested in attracting specialized talent in high-performance computing.
• Research centers and universities needing researchers with HPC+AI profile for projects in biomedicine, materials or genomics.
• Pharmaceutical and biotechnology companies with intensive computing needs for molecular simulation or genomic analysis.
• Quantum computing and deep tech companies seeking profiles with specific training in this emerging field.
• HR managers and talent acquisition professionals in technology sectors who must update their search profiles with this new official degree.

Practical example

An Asturian pharmaceutical company with a bioinformatics department wants to incorporate a profile capable of applying machine learning to genomic data analysis. Until now, this profile had to be sought in master's programs in Madrid or Barcelona, or trained internally at high cost.

With the new master's from the University of Oviedo, the company can:

1. Offer an external internship position (6 ECTS) to a student in the genomics track, evaluating their fit before hiring.
2. Propose a Master's Thesis (12 ECTS) on a real company problem in genomic data analysis, obtaining applicable results without consulting costs.
3. Hire the graduate with a profile that already includes training in legal and ethical aspects of AI, relevant for compliance with the European AI Regulation.

The result: acquisition of specialized local talent, reduction of internal training costs and access to university supercomputing infrastructure during Master's Thesis development.

What should companies do now?

1. Contact the University of Oviedo to explore external internship agreements linked to the master's (6 ECTS per student) and establish a talent acquisition channel.
2. Propose Master's Thesis lines aligned with real business needs in HPC, AI, biomedicine or quantum computing, leveraging the 12 ECTS of the Master's Thesis as outsourced R&D resources.
3. Update talent search profiles in HR departments including RUCT code 3500887 and the official degree name to identify candidates with this qualification.
4. Evaluate profile fit in internal projects requiring high-performance computing, massive data analysis or machine learning application in materials science, biomedicine or genomics.
5. Follow the master's admission call through the official University of Oviedo website to learn about the start schedule and access requirements.

Official source

View complete regulation in 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-2026-16541