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The Official Master’s Degree in Data Science and Artificial Intelligence Achieves 100% Employability
30 April 2026
The Official Master’s Degree in Data Science and Artificial Intelligence at CUNEF Universidad has achieved a particularly noteworthy milestone in its latest 2024/2025 cohort: a 100% employability rate. All graduates have entered the job market after completing the program. This result reflects the high demand for specialized profiles in artificial intelligence, data analytics, data engineering, and technology consulting.
Placement in leading international companies
Graduates of the program have launched their professional careers in globally leading companies across sectors such as consulting, technology, finance, and retail. In the field of consulting and auditing, notable placements include PwC Spain, Deloitte, EY, and KPMG. In technology consulting and digital transformation, students have joined companies such as Accenture, Capgemini Invent, and NTT DATA.
In the technology and industrial sector, the program’s talent has accessed organizations such as Hewlett Packard Enterprise, Sopra Steria, and Minsait. In the financial and insurance sector, graduates have joined Banco Santander, Mapfre, the Bank of Spain, and Getnet. Finally, the program also opens opportunities in sectors such as retail, particularly at El Corte Inglés, where graduates apply data analytics to business decision-making.
A program aligned with market needs
The Master’s in Data Science and Artificial Intelligence combines programming, data visualization, machine learning, deep learning, and language models, along with their application to real-world cases, offering a comprehensive and practical approach. It also covers databases, ETL processes, and forecasting methods such as time series analysis.
In addition, key technologies are addressed, including generative artificial intelligence, blockchain, quantum computing, and computer vision, along with applications in financial investment and natural language processing. All of this is complemented by a strong foundation in ethics, privacy, data protection, and AI regulation.