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Private Master’s Degree in Big Data Analytics Madrid

This private master’s degree qualifies you to be one of today’s most sought-after professionals: Data Architect, Data Engineer or Data Scientist. You will train with data professionals who are leaders in the banking, health, telecommunications and consulting sectors.

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Master in Big Data Analytics

The Master’s in Big Data is a course that covers Big Data analytics. A degree for engineers, statisticians and mathematicians, or data analysts, with a vocation in the field of ICT, seeking to expand their knowledge in storage techniques and distributed information processing, as well as big data analytics and visualisation.

You will learn to apply cutting-edge technologies in Data Science and Machine Learning, becoming an expert in managing large volumes of data and infrastructures, machine learning and the analysis of business management processes.

You will have access to the AWS Academy to prepare for the AWS Certified Cloud Practitioner during the module on cloud architectures and the AWS Certified Machine Learning Specialty during the module on data processing and machine learning.

Spanish version of the master's degree: Máster en Big Data Madrid

Private degree issued by Universidad Europea de Madrid
Campus-based
Alcobendas 10 months, 60 ECTS
Start: 1 oct. 2025
School of Architecture, Engineering and Design - Madrid

Why study the Private Master Degree in Big Data Analytics?

Innovative curriculum

It includes the entire data lifecycle, from the design and implementation of the architectures that will support distributed data storage and processing.

Prestigious professors

Learn with the help of relevant experts from different sectors and companies such as Deloitte, Cryptoeconomic and Telefónica. They will share with you their experience and professional vision of data preprocessing, modelling and visualisation

Experiential learning

You will learn through real cases from first-level multinationals. Thanks to simulations and role plays, you will be qualified to become a global Big Data professional.

You will access to state-of-the-art facilities, consisting of two clusters for processing large volumes of data: A main one with more than 25 homogeneous processing nodes and 2TB of ram memory, and a secondary one formed by 4 server machines with high processing and memory capacities (multicore, +64GB per node). Both have Apache Hadoop, HDFS, Apache Spark, and Hive or Impala noSQL database access languages/tools.

Exclusive content

You will have access to exclusive masterclasses given by professionals from top companies in Spain, such as Santander and Telefónica.

Strategic Alliances and Industry Partners

At Universidad Europea, we have a network of strategic allies and industry partners that drive practical training and enhance the employability of our students.

Our strategic allies represent companies' commitment to working closely with the School on all aspects related to the design and delivery of its programs. In turn, our industry partners are linked to a laboratory or workshop, providing practical activities in areas such as artificial intelligence, digital twins, and virtual reality. All of this allows students to apply their knowledge in real-world settings, enhancing their professional preparation.

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Study plan

What will you learn in the Master’s in Data Analytics?

At the end of this programme, you will receive a private Master’s degree in Big Data Analytics.

The Big Data Analytics programme is structured around a curriculum in which you will learn in depth about data management, analysis, processing and visualisation and you will finish your master’s degree with the presentation of a project applying the knowledge acquired and using state-of-the-art tools.

Gaining experience based on what you have learnt in your degree is the best way to enter the job market.

If you would like to improve your work experience before finishing your university studies, you can do an extracurricular internship. You can do one in any academic year, but we would remind you that internships are a training complement to your studies. Therefore, the more knowledge you’ve already acquired over the course of your programme, the more you’ll benefit from the internship experience.

Collaborating entities

Students of the Master’s in Big Data Analytics will benefit from the collaboration agreements between Universidad Europea and prestigious companies with which students will be able to develop their final Master’s project on real projects proposed by the same companies, and receive help and advice from specialists in the sector.

Employability

By studying our Master’s in Big Data Analytics in Madrid, students will be qualified to perform the following common functions in the world of Big Data:

  • Data Scientist. Responsible for defining the data analysis questions and processes to transform data into value for the company.
  • Data Architect. Responsible for defining and rolling out the necessary infrastructure for Big Data projects.
  • Expert in data analysis and machine learning, responsible for programming data processing and machine learning systems.
  • LinkedIn includes Big Data specialist in its top 10 most in-demand jobs, with more than 360,000 vacancies.
  • In its Emerging Jobs 2020 report, LinkedIn calculates a figure for the annual growth of the most promising professions. In the case of Data Scientists, the annual growth rate will be 47%

Admissions

Start your future at Universidad Europea

You can become a student at Universidad Europea in three easy steps.

1

Admission exams

Start your admission process by calling +34 917407272 or request information and our advisors will contact you.

2

Place reservation

Once you have been admitted, secure your place by paying the reservation fee.

3

Enrollment

Submit the required documents to formalise your enrollment.

Scholarships and financial aid

We want to help you. If you want to study at the Universidad Europea, you will have at your disposal a wide selection of own and official scholarships.

Credit recognition and transfers

You don’t have to stick with something you don’t like. That’s why we’ve designed specific plans for credit recognition and transfers.

Request your online credit recognition review, transfer your academic file and start studying at Universidad Europea.

Academic quality

As part of its strategy, the University has an internal quality plan whose objective is to promote a culture of quality and continuous improvement, and which allows it to face future challenges with the maximum guarantee of success. In this way, it is committed to promoting the achievement of external recognitions and accreditations, both nationally and internationally; the measurement and analysis of results; simplification in management; and the relationship with the external regulator.

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Frequently Asked Questions

After studying the master in Big Data Analytics, you’ll have a profile that many companies are looking for today. Many of those who graduate from this programme enjoy successful careers in a wide variety of industries in roles including:

  • Data Scientist.
  • Data Architect.
  • Expert in data analysis and machine learning.

Yes. Professional with experience in big data analytics are in high demand today. With the explosion of digital data generated by various sources such as social media, e-commerce, and the Internet of Things (IoT), organisations are looking for ways to extract valuable insights and make data-driven decisions. Industries such as healthcare, finance, retail, and manufacturing are all utilizing big data analytics to improve their operations and gain a competitive edge.

Our master's degree in Big Data is structured around a curriculum in which you will learn in depth about data management, analysis, processing and visualisation. The programme covers many areas, and you will get a broad understanding of several areas including:

  • Data Mining
  • Machine Learning
  • Data Visualisation
  • Data Management
  • Big Data Analytics
  • Statistics and Probability

The master in Big Data Analytics at Universidad Europea takes 10 months to complete and is made up of 60 ECTS. As part of the programme, you will work on real case studies thanks to our academic model which is based on experiential learning. In addition, you will attend masterclasses given by experts in big data working at some of the most prestigious companies in Spain.

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