Master of Science in Big Data

What if data stopped being volume and became vision?

Become a professional capable of designing scalable infrastructures, processing vast volumes of information and transforming them into useful knowledge for decision-making.

You will work with scalable infrastructures, Cloud Computing, Hadoop, NoSQL, Business Intelligence, Data Mining and Machine Learning, applying your knowledge to real cases and current market needs.

Practical training connected to the real challenges of the sector, preparing you to add value at any point in the data lifecycle.

In a landscape where artificial intelligence is accelerating the transformation of businesses, products and services, Big Data is a key enabler of that evolution. AI models do not work by magic, even if they sometimes seem to: they need reliable, well-managed data, prepared to generate useful answers, automate processes and support sound decision-making.

That is why the Master's Degree in Big Data at La Salle-URL prepares you to understand and build the technology foundation behind many of the solutions reshaping the market. Training designed for professionals who want to unlock the value of data and turn information into a real advantage for organisations in any sector.

Why study at La Salle?

Because the world needs professionals who can understand technology, question it and use it to create real impact.

Challenge-based learning with real-world projects

You will work on real projects and situations that bring you closer to the professional environment from day one.

A transdisciplinary ecosystem

You will collaborate with people from engineering, technology, architecture and business to learn how to solve complex challenges from different perspectives.

Technology with purpose

You will apply data, artificial intelligence and digital tools to develop solutions connected to the real needs of companies and society.

Direct connections with industry

You will engage with professionals, companies and projects that bring you closer to the job market and its real needs.

Barcelona as a living laboratory

You will study in a leading city for technology, entrepreneurship and innovation, connected to some of Europe's most dynamic digital and creative ecosystems.

FAQs

Why study a Master's Degree in Big Data?

Because data is no longer just information: it is the foundation for better decisions, more efficient processes and new technology solutions. This master's degree will teach you to manage large volumes of data and turn them into useful knowledge for businesses, industries and society.

What makes this master's degree different from other Big Data master's degrees?

The Master's Degree in Big Data at La Salle-URL combines a technological and analytical view of data. You will not only learn to analyse information, but also to design scalable infrastructures, work with cutting-edge technologies and apply Big Data solutions to real market challenges.

Who is it for?

It is aimed at graduates and engineers in Computer Science, Telecommunications and related disciplines, as well as profiles from Telematics Engineering, Multimedia or ICT Management who want to specialise in managing and leveraging large volumes of data.

What will you learn?

You will learn to work across the full Big Data lifecycle: storage, processing, analysis, visualisation and exploitation of large volumes of information. You will also train in Cloud Computing, Hadoop, NoSQL, Business Intelligence, Data Mining and Machine Learning.

What career opportunities are there?

You can move into roles such as Data Engineer, Data Center Architect, Business Intelligence Consultant, Big Data Consultant or Cloud Application Administrator. These are high-potential profiles in a market where more and more systems and devices generate data continuously.

Can the master's degree be combined with professional work?

Yes. The master's degree is taught on campus in Barcelona, Monday to Thursday from 7 to 10 p.m., with a schedule designed to make it easier to combine study with professional work. It also offers flexibility to join some sessions remotely through Smart Learning technology.