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Master in Data Science and Artificial Intelligence

Learning
Face-to-face
Language
Spanish
Credits
60 ECTS
Employability
100%

Master in Data Science and Artificial Intelligence

The Master in Data Science and Artificial Intelligence is aimed at university graduates who seek to specialise in one of the professions with the highest demand and best prospects in the 21st century. The programme, designed to respond to the challenges faced by corporations in their efforts to manage ever-growing volumes of data, offers a wide range of career options.

Using a predominantly practical approach, the programme offers applied learning experiences focused on real-world data management and analysis.

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 Structure

CUNEF Universidad’s Master in Data Science and Artificial Intelligence is an official degree consisting of 60 ECTS credits, distributed as follows:

Compulsory Courses: 42 credits
Academic Internship: 12 credits
Final Dissertation (FD): 6 credits

COURSE	ECTS	TERM
Principles of Data Analysis and Artificial Intelligence	3	Fall
Programming Tools for Data Science and Artificial Intelligence	6	Fall
Databases	3	Fall
Machine Learning	6	Fall
Visualisation Techniques	3	Fall
Neural Networks and Deep Learning	3	Fall
Time Series and Forecasting	3	Fall
Extraction, Transformation and Loading	3	Fall
Natural Language Processing and Generative AI	3	Spring
Artificial Intelligence Ethics and Regulation (1.5 ECTS) Data Protection and Privacy (1.5)	3	Spring
Emerging Technologies (3 ECTS) Machine Learning and Investment (3 ECTS)	6	Spring
Internships	12	Spring
Final Dissertation	6	Spring
Finance Specialisation: - Corporate Valuation (3 ECTS) - Active Management, Factor Investing and Alternative Investments (3 ECTS)	6	Spring
Business Specialisation: - Digital Marketing (3 ECTS) - Digital Business Strategy and Models (3 ECTS)	6	Spring

Career Outcomes

CUNEF Universidad has strong connections to the business and professional world. Our Careers Department actively manages internship programmes and job offers, and organises seminars and other complementary activities. Their goal is to provide students with all the necessary tools and skills and offer the best possible opportunities, in an effort to help them find their first job and kickstart their career.