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Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
On Campus
The curriculum combines courses on programming, visualisation techniques, machine learning, deep learning and language models with case studies where students apply what they have learned to real-life situations, acquiring a comprehensive and practical education.
To become a data science expert, it is essential to master emerging technologies like generative AI, blockchain, quantum computing, and computer vision. This degree covers all of these in depth, as well as other topics including machine learning focused on financial investment decisions or natural language processing.
It also addresses the use of databases, together with data extraction, transformation and loading (ETL) techniques and time-series prediction methods.
Another of the pillars of the curriculum is artificial intelligence and its impact on the use of personal data, with special emphasis on key aspects such as privacy, data protection, ethics and AI regulatory challenges.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
On Campus
The curriculum combines courses on programming, visualisation techniques, machine learning, deep learning and language models with case studies where students apply what they have learned to real-life situations, acquiring a comprehensive and practical education.
To become a data science expert, it is essential to master emerging technologies like generative AI, blockchain, quantum computing, and computer vision. This degree covers all of these in depth, as well as other topics including machine learning focused on financial investment decisions or natural language processing.
It also addresses the use of databases, together with data extraction, transformation and loading (ETL) techniques and time-series prediction methods.
Another of the pillars of the curriculum is artificial intelligence and its impact on the use of personal data, with special emphasis on key aspects such as privacy, data protection, ethics and AI regulatory challenges.
Scholarships
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