17 Data Science Masters Degree Programs in Spain

The Master in Big Data and Business Analytics in Madrid is taught on the ESIC Business & Marketing School campus. Our campus in Madrid opened in 2021 and has 40 classrooms, an auditorium for 300 people, 16 work rooms, 5 meeting points, gym, mindfulness room, cafeteria and much more. Our classrooms are full of master's and postgraduate students specialized in marketing, management and technology. The campus is the ideal place to network, work on your ideas and learn. But, above all, it is the perfect place to live in the present and build the future.

The Master in Data Science and Artificial Intelligence is aimed at university graduates who wish to specialise in one of the most highly sought-after professions in the 21st century. The Curriculum combines courses on technology, programming and data science with others like data analysis and management.

Throughout the Master’s Degree program, students acquire practical skills in applying new technologies related to the Big Data phenomenon, modern predictive analytics and data visualization tools. This program offers students a global perspective during this data and information technology-based era, based on five major areas.

The data science is a new frontier of human knowledge and a new domain of discovery. Data scientists have the analytical and programming skills needed to extract valuable knowledge out of data. The burgeoning technology sector is quickly becoming the epicenter for data science.

Become an expert in analysing, structuring, filtering, visualizing and valuing the production of generated data with the Master of Science in Data Science!

Large amounts of data are generated in many aspects of personal and professional life, from electronic purchases to research or finances. If these data are not monitored or interpreted, they have no value. Data science is a new professional area that aims to give these data meaning by analysing and interpreting them. A data scientist is a new professional profile at the intersection between maths and computer science.

MSc in Data Sciences and Artificial Intelligence. The MSc Data Science and Artificial Intelligence is one of the International Master of Science programs, created within the framework of the Initiative of Excellence UCA JEDI. The MSc Data Science & Artificial Intelligence is an MSc awarded by Université Côte d'Azur.

Quantitative Methods & Data Science A technical, model-driven finance track for students who want to work confidently with quantitative tools used in modern markets and risk functions. It combines machine learning and data analytics applied to finance, rigorous derivatives valuation (particularly interest-rate products), and end-to-end quantitative risk management

The purpose of the Master is to provide training in advanced scientific, technological and socioeconomic aspects related to an essential challenge of Information Technology today: the huge amount of data generated and the need to manage it effectively and efficiently to produce value-added services.

Data Science is bound to be one of the most important tools for environmental management thanks to its potential to work with complex systems and large amounts of information. The master´s degree enables students to address practical problems in the management of natural resources by applying sound scientific methodologies for their analysis and solution. The master programme also aims at increasing knowledge about ecosystem and natural resource management with tools such as modelling, simulation, machine learning, bioinformatics, geo-statistics and spatial analysis. The professors, engineers and researchers who teach the master are leaders in their field. Students will have the opportunity to do internships in leading companies. This qualification gives access to doctorate studies and it allows for a Double Master with Forestry Engineering.

In this world of flat-earthers and “alternative facts”, transforming data into understandable and honest information is a matter of societal survival. Our Master in Data Design is a hands-on experience harnessing data for crafting information and making a change.

In today’s data-driven world, the ability to seamlessly combine technical expertise with business insight is essential. The International Master in Data for Business and the International Master in Data for Finance are designed for individuals eager to accelerate their careers by mastering both data skills and business or finance knowledge. These programs are ideal for those with a strong bachelor-level foundation who want to deepen their understanding of how data can be applied in real-world business contexts. Developed in partnership with Mines Paris – PSL, one of France’s leading engineering schools, these programs combine academic excellence with industry relevance, providing students with unmatched opportunities to learn from top experts and gain cutting-edge skills in data and business.

MSc Biobanks and Complex Data Management. In the dynamic landscape of the life sciences, biobanking has emerged as an essential domain encompassing the collection, storage and processing of biospecimens - whether human, animal or plant tissues and fluids - to support research objectives. The effective management of biobanks, coupled with the sensitive handling of the complex data associated with them, is the cornerstone of modern healthcare and the quest for personalized medicine.

Forestry Engineering is a profession that has traditionally worked in multidisciplinary environments in the management and planning of the natural environment. The use and extraction of information from spatial databases has been a traditional task of forestry engineers but the advent of the revolution associated with the so-called "big data" makes it necessary to take a qualitative leap in the training of these professionals. The challenges currently faced by forest management are of great significance due to the magnitude of the problems (climate change, invasive species, biodiversity crisis, etc.) and the growing demand for goods and services by society. At the same time, there is an increasing amount of information, highly relevant for decision-making in forest and environmental management, collected in large databases that require specific training for their management and analysis. For this reason, it is necessary that these professionals have a good integrated knowledge of management systems and methods applied to the forestry world, but at the same time, they have the capacity to work in different fields such as database management, computer programming, data analysis, decision making through operational research techniques, or geographic information systems and remote sensing.

There is currently a growing demand for professionals capable of handling tools for processing large volumes of data. The efficient management of this data is necessary at all levels of a computer system, from the cores of a processor to the most sophisticated Cloud systems. These tools are essential for, among many other applications, running complex simulations of physical processes, designing increasingly accurate weather models, driving advances in genomics, performing big data analysis on which today's corporations draw up plans and strategies. market (Data Management) or solve engineering problems that require a large computing capacity, either because of their large size, or because the answer must be given in real time.