Key data
| Regulation | Resolution of June 1, 2026, from the University of Granada, publishing the curriculum for the Degree in Data Science and Artificial Intelligence |
|---|---|
| Publication | June 10, 2026 |
| Effective date | September 1, 2025 (implementation from academic year 2025/26) |
| Affected parties | University students, future AI professionals and technology companies seeking specialized talent |
| Category | Education |
| Total ECTS credits | 240 |
| Teaching centers | Faculty of Social and Legal Sciences in Melilla and School of Technical Engineering in Computer Science and Telecommunications (Granada) |
| Degree approval | Council of Ministers, October 2025 |
The market has been demanding professionals capable of working with data at scale and deploying artificial intelligence solutions in real business environments for years. The University of Granada responds with an official degree—approved by the Council of Ministers in October 2025—that is already underway since academic year 2025/26. The Resolution of June 1, 2026 formally publishes the curriculum for the Degree in Data Science and Artificial Intelligence.
For executives, CFOs and HR managers in technology companies, this degree is a clear signal: in the coming years there will be more graduates with structured training in AI, data analysis, robotics and digital twins from two Andalusian campuses. Understanding the curriculum allows you to anticipate what competencies these profiles will have and how they fit into your teams.
What does this regulation establish?
The resolution formalizes the complete curriculum for the Degree in Data Science and Artificial Intelligence at the University of Granada. The degree is official in nature and its 240 ECTS credit structure is distributed as follows:
| Type of training | ECTS credits |
|---|---|
| Basic training | 60 |
| Mandatory courses | 120 |
| Elective courses | 54 |
| Final Degree Project (TFG) | 6 |
| Total | 240 |
The areas of knowledge covered by the curriculum include:
- Programming
- Linear algebra
- Advanced statistics
- Artificial intelligence
- Digital twins
- Robotics
- AI for enterprises
The degree is taught at two centers of the University of Granada:
- Faculty of Social and Legal Sciences in Melilla
- School of Technical Engineering in Computer Science and Telecommunications (Granada)
Language requirement: students must demonstrate a B1 level in a foreign language before obtaining the degree. This requirement is a necessary condition for the issuance of the official degree.
Economic and operational impact
For companies, this degree has direct implications for their talent acquisition strategy. Spain has historically had a shortage of specialized profiles in data science and artificial intelligence with formal university training. The incorporation of this official degree at the University of Granada expands the national training offer in a high-demand area.
From an operational perspective, companies that collaborate with the university—through internships, final projects or applied research projects—will be able to access profiles trained in areas such as digital twins, robotics and AI for enterprises, which are competencies directly applicable in industrial, logistics, financial and technology sectors.
The fact that the degree is taught at two campuses—Granada and Melilla—also opens opportunities for companies located in southern Spain and around the Strait seeking local talent without needing to compete with the major technology hubs in Madrid or Barcelona.
Who does it affect?
- Technology companies seeking graduates with training in AI, data analysis and programming.
- HR and talent acquisition departments that need to anticipate the competency profile of new AI graduates.
- Industrial and engineering companies interested in profiles with knowledge of digital twins and robotics.
- Consulting firms and advisory practices that incorporate data analysis tools in their services.
- Technology-based startups and scale-ups competing for specialized AI talent.
- Students and families evaluating degree options with direct job placement in the technology sector.
- Educational centers and guidance counselors advising on university pathways in technology and AI.
Practical example
A logistics company based in Granada needs to hire a profile that combines operational data analysis with AI knowledge to optimize routes and predict incidents. Until now, this profile was only found among graduates in computer engineering or mathematics with additional AI training, which increased hiring costs and lengthened selection processes.
With the new Degree in Data Science and Artificial Intelligence from the University of Granada, this company can establish an internship agreement with the School of Technical Engineering in Computer Science and Telecommunications, access students who have taken specific courses in AI for enterprises, advanced statistics and programming, and direct the final project (6 credits) toward a project applied to their actual operations. The result: talent trained to specification, with lower onboarding costs and greater alignment with business needs.
What should companies do now?
- Identify talent needs in AI and data: Review what specialized profiles in data science, AI or robotics your company will need in the next 2-3 years and whether the new degree profile fits.
- Contact the teaching centers: Establish contact with the School of Technical Engineering in Computer Science and Telecommunications in Granada or the Faculty of Social and Legal Sciences in Melilla to explore internship agreements or collaboration on final projects.
- Update job descriptions: Incorporate the new official degree as a requirement or merit in job postings for data scientist, AI analyst or data engineer roles.
- Explore applied research projects: Evaluate whether there is potential for joint university-company projects in areas such as digital twins or AI for business processes.
- Follow the evolution of the curriculum: Consult the official resolution in the BOE to learn the full details of the courses and competencies certified by the degree.
Frequently asked questions
How many credits does the Degree in Data Science and AI from the University of Granada have?
The degree has 240 ECTS credits in total, distributed as: 60 in basic training, 120 in mandatory courses, 54 in electives and 6 in the Final Degree Project (TFG).
Where is the Degree in Data Science and Artificial Intelligence from Granada taught?
It is taught at two centers: the Faculty of Social and Legal Sciences in Melilla and the School of Technical Engineering in Computer Science and Telecommunications in Granada.
When did the new AI degree from the University of Granada come into effect?
The degree began to be taught in the 2025/26 academic year, with effective date from September 1, 2025. The resolution formally publishing the curriculum was published on June 10, 2026.
What subjects does the curriculum of the Degree in Data Science and AI from Granada cover?
The curriculum includes: programming, linear algebra, advanced statistics, artificial intelligence, digital twins, robotics and AI for enterprises, among other areas.
What language requirement does the Degree in Data Science and AI from the University of Granada require?
Students must demonstrate a B1 level in a foreign language as a necessary condition to obtain the official degree.
Official source
Consult 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-2026-12607