Key data
| Regulation | Resolution of October 21, 2026, from the University of Cantabria, publishing the curriculum for the Degree in Business Intelligence and Data Analytics |
|---|---|
| BOE Publication | November 2, 2026 |
| Effective date | November 2, 2026 |
| Affected parties | Future university students and employers in the technology and business sectors |
| Category | Education |
| Institution | Faculty of Economics and Business Sciences, University of Cantabria |
| Branch | Social and Legal Sciences |
| Total credits | 240 ECTS (4 years) |
| Verification | Council of Universities with favorable report from ANECA; authorized by Council of Ministers on September 15, 2026 |
| Official source | BOE-A-2026-23011 |
The shortage of specialized data profiles is one of the main bottlenecks for the digital transformation of Spanish companies. The University of Cantabria responds to this demand with the new Degree in Business Intelligence and Data Analytics, whose official curriculum was published in the BOE on November 2, 2026 (reference BOE-A-2026-23011). The degree was verified by the Council of Universities with a favorable report from ANECA and authorized by the Council of Ministers on September 15, 2026.
This is not a master's degree or a specialization: it is an official four-year degree that trains professionals from scratch with a combined business and technical vision. This differentiates it from other programs on the market and makes it a reference for those hiring data talent.
What does this regulation establish?
The resolution publishes the official curriculum of the new degree, with the complete distribution of credits by subject type. The degree is taught at the Faculty of Economics and Business Sciences of the University of Cantabria, within the branch of Social and Legal Sciences.
The distribution of the 240 ECTS is as follows:
| Subject type | ECTS credits |
|---|---|
| Basic training | 60 |
| Mandatory | 120 |
| Optional | 48 |
| External internships | 6 |
| Final Degree Project (FDP) | 6 |
| Total | 240 |
The curriculum integrates subjects from very diverse areas, which defines the graduate's hybrid profile:
- Statistics
- Programming
- Artificial intelligence
- Finance
- Taxation
- Information processing law
- Marketing analytics
Additionally, students must demonstrate an English language level as a requirement to obtain the degree. This requirement strengthens the international employability of the profile and is relevant data for companies with operations in foreign markets.
Economic and operational impact
For companies, this degree has a direct impact on the availability of specialized talent in the labor market. Until now, filling a data analyst position with knowledge in finance, taxation and data law required seeking profiles with double degrees or costly complementary training.
With this degree, companies will be able to hire graduates with formal training in:
- Data analysis applied to business decisions
- Artificial intelligence with a business focus
- Regulatory compliance in data processing (critical aspect after GDPR)
- Financial and tax analytics
- Data-driven marketing
The cost of not finding this profile in the market is high: companies resort to external consultants or costly internal training. A graduate with this profile can cover functions that today require two or three different profiles.
The 6 ECTS external internships included in the curriculum are a direct opportunity for companies to identify and recruit talent before the graduate completes their training.
Who does it affect?
- Technology sector companies seeking data analyst profiles with business vision
- Finance and controlling departments that need professionals capable of working with large data volumes
- Digital marketing areas that require analysts with knowledge of data tools and consumer behavior
- Law firms and consulting firms that provide regulatory compliance services in data protection
- Startups and technology-based companies that need multidisciplinary profiles from the start
- HR departments that must update their search profiles and internship agreements with universities
- Future students and academic advisors evaluating degree options with high employability
Practical example
A distribution company with 80 employees has been searching for two years for a profile that combines sales data analysis, basic tax knowledge and ability to work with artificial intelligence tools. Until now, it has met this need with an economist and a computer scientist working in parallel, with the cost and friction that implies.
With the incorporation of the new degree from the University of Cantabria, that company can establish an external internship agreement (the 6 ECTS of the curriculum include company internships) and evaluate fourth-year students before hiring them. The graduate will have taken courses in statistics, programming, artificial intelligence, finance, taxation and information processing law, covering in a single profile what previously required two people.
Additionally, the English language certification requirement ensures that the profile can integrate into international teams or work with foreign suppliers and clients without needing additional language training.
What should companies do now?
- Update talent search profiles in data, finance and marketing departments to include this new degree as a valid and relevant qualification.
- Contact the Faculty of Economics and Business Sciences at the University of Cantabria to explore external internship agreements and recruit talent in training (the 6 ECTS of internships are a direct pathway).
- Review the company's scholarship and internship policy to adapt it to profiles with hybrid training in data, business and information law.
- Evaluate whether the company needs this profile in the short term: if you already have analytics, AI or data compliance projects underway, this graduate can meet real needs from the first year of professional practice.
- Inform HR and recruitment departments about the existence of this degree so they don't overlook it due to lack of awareness in future selection processes.
Frequently asked questions
How many credits does the Degree in Business Intelligence and Data Analytics from the University of Cantabria have?
The degree consists of 240 ECTS credits distributed over 4 years: 60 basic training, 120 mandatory, 48 optional, 6 external internships and 6 Final Degree Project.
Where is this degree taught and in which branch is it classified?
It is taught at the Faculty of Economics and Business Sciences of the University of Cantabria, within the branch of Social and Legal Sciences. The curriculum was authorized by the Council of Ministers on September 15, 2026.
What subjects does the curriculum include?
The curriculum integrates statistics, programming, artificial intelligence, finance, taxation, information processing law and marketing analytics. Additionally, students must demonstrate an English language level to obtain the degree.
Can companies incorporate students from this degree in internships?
Yes. The curriculum includes 6 ECTS of external internships, which allows companies to establish agreements with the University of Cantabria to host students and evaluate their profile before a possible hiring.
When did this curriculum come into effect?
The curriculum was published in the BOE on November 2, 2026 and came into effect on that same date, after being verified by the Council of Universities with a favorable report from ANECA.
Official source
Consult 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-2026-23011
