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The Executive Master in Big Data Science (MEBDS) is an official degree, coordinated by the Institute of Data Science and Artificial Intelligence (DATAI) of the University of Navarra.

In recent years the demand for STEM professionals specialized in Data Science and Big Data has experienced exponential growth. Projects involving Artificial Intelligence, Machine Learning and Business Intelligence require experts highly trained in the most advanced tools and techniques. The OfficialMaster's Degree in Big Data Science offers a technical program oriented to the internship that aims to equip students with solid knowledge for the collection, preparation, analysis, modeling and visualization of data, enabling them to lead and develop innovative projects.

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 Rankings

 Rankings

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LOGO-QS

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prueba

BEST PRIVATE UNIVERSITY AND TOP 5 IN SPAIN IN QS TOP GLOBAL UNIVERSITIES 2024 AND TIMES HIGHER EDUCATION RANKING 2024.

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Proyección Profesional

Professional Projection

The specialisation in Data Science or Big Data is a professional profile highly demanded in the labour market by institutions and firms from all sectors. Some of the employment opportunities of this Master are:

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DATA SCIENTIST

DATA
SCIENTIST

ANALYTICS CONSULTANT


ANALYTICS CONSULTANT

DATA ANALYST

DATA
ANALYST

​​​​​​​BIG DATA CONSULTANT


BIG DATA CONSULTANT

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BUSINESS ANALYST

BUSINESS
ANALYST

MACHINE LEARNING SPECIALIST


MACHINE LEARNING SPECIALIST

BUSINESS INTELLIGENCE CONSULTANT


BUSINESS INTELLIGENCE CONSULTANT

​​​​​​​DATA TRANSLATOR


DATA TRANSLATOR

Alumnos

 Students

Students tell us about their experience during the Master's course

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foto iñigo alvarez

Íñigo Álvarez


 

Íñigo Álvarez tex

 

A very positive point of this Master's Degree is how the variety of multidisciplinary profiles gives you a different vision. In my case, I am an engineer and sharing projects and subjects with people from other backgrounds gives me a different vision. I am more imaginative, it gives me that vision of being more decisive, of being able to have different ideas and we complement each other well. 

Íñigo Álvarez

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Loreto Albiñana

 

There are many companies that are now in the process of digital transformation and highly value having analytical skills, statistical control, not being afraid of the modeling part, knowing how to assess whether the results are correct or not and be able to propose solutions. I also believe that it is going to be a field with a great future.

Loreto Albiñana

foto Loreto Albiñana

Loreto Albiñana


 

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foto de Ubaldo Peralta

Ubaldo Peralta


 

Ubaldo Peralta tex

 

The Master's Degree seems to me that it is very good to specialize in the science of data and not only because of the program and professors, but also because of the prestige that the University of Navarra has, both nationally and internationally is very well recognized.
From my experience, at the work level, companies value this above many things. 

Ubaldo Peralta

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 Profesionales de BBVA que cursan el Máster Universitario en Big Data Science cuentan su experiencia

BBVA professionals studying for the Master's Degree in Big Data Science tell us about their experience

Students agree on the importance of training in the science of data, a discipline in continuous transformation.

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alba prieto foto


 

Alba Prieto tex

 

I consider this Master's Degree an exceptional opportunity, a data-driven business should also focus on giving training to its employees and BBVA is doing so. The fact that it is being carried out with a highly prestigious university such as the University of Navarra provides solidity to project. 

Alba Prieto

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alberto garcia hernandez foto


 

Alberto García Hernández tex

 

The agreement BBVA-University of Navarra is a firm commitment of the organization to develop the potential of its employees, who will share their knowledge in the teams where they work. This supports the transition to a data-driven business . 

Alberto García Hernández

Aplicaciones anidadas

aurea chacon foto

Áurea Chacón tex

 

I hope to fill in my skills of management of projects with techniques learned for the preparation of data and development in Python of suitable algorithms to obtain profitable results for the area in which work. 

Áurea Chacón