global master en business analytics
Tech & Data Management

Global Master in Business Analytics & Data Strategy

  • Hybrid Learning
  • 60 ECTS
  • Professional
  • Apr. 2023
  • 12 months
Hasta 20% de descuento Hasta el 27 de Marzo
  • ubicacion logo

    Online class + Residential in Madrid

  • horario logo

    3 sessions per week

  • logo plan de carreras

    Personalized Professional Development Plan


This master's degree is taught in SPANISH

Nowadays, companies all over the world use data and its subsequent management to design their strategy and extract valuable information in order to obtain useful, tangible and transformational solutions for businesses and society.

Due to the market’s huge capacity to generate data, there is constant demand for professionals equipped with the analytical capacity, business knowledge and technical skills to develop these procedures.

The Global Master in Business Analytics & Data Strategy of EAE Business School Madrid gives you the opportunity to adapt to the latest technological developments, together with the strategic vision for their analytical implementation in companies through high-impact initiatives.

With this program, you will gain the great benefit of learning through our hybrid methodology, which blends online tuition with a residential stage at the business school’s campus, where you will put the knowledge acquired into practice with the support of international faculty of professionals in the sector.


On successful completion of your program, you will receive a double qualification: the Global Máster in Business Analytics & Data Strategy from EAE Business School and the Global Máster in Business Analytics & Data Strategy by the Universidad Internacional de la Empresa (UNIE).

Partner académico-Unie Universidad

Enroll now and start enjoying your career boosting plan.*

From the moment of your enrollment we will start working together in the materialization of your professional project through a personalized development plan. Are you going to miss it? Request information and we will explain it to you.

*This service applies only to on-site programs.

Reasons to take this master

in EAE Business School
  1. Two hemispheres of knowledge: With the help of this program, you will become an expect in both the technological and business sides of the sector, equipped to apply your knowledge and skills in both spheres.
  2. Application of Big DataWith the knowledge you acquire, you will be able to implement the data strategy in and area of business. You will learn to extract relevant, impactful information through data analysis.
  3. Tools that make all the differenceYou will gain first-hand insight into the essential tools of Data Analytics, as well as the programming languages that set you apart in the sector.
  4. Agile methodologyYou will learn to apply and implement flexible plans to be executed in the short term in any organization.
Master in Big Data & Analytics in Spain

QS Masters Ranking 2021/22

Top 14
Business schools in the world/Europe

El Economista Ranking 2022

Master in Big Data & Analytics in Europe

Eduniversal Best Masters Ranking 2021/22

Student Profile
National participants
5 years
Average professional experience


Module 1

  • Big Data Ecosystem - 6 ECTS
    • Big Data Technology: basic concepts and foundations.
    • Introduction to Big Data: processing, analysis and visualization.
    • Data sources in Big Data environments
    • Data structures and technologies for selecting useful data.
    • Tracking, processing, indexing and retrieval techniques for structured and unstructured information.
    • Warehousing systems for Big Data: Hadoop Distributed File System (HDFS) and NoSQL.
    • Technological Big Data solutions.
  • Security risks and measures in Big Data - 6 ECTS
    • Data management.
    • Introduction to Big Data processing.
    • Application deployment. Development of scalable applications.
    • Types of Big Data processing for modelling business logic: batch, streaming, Lambda and Kappa architectures.
    • High-level models, architectures, tools and languages for Big Data processing.
  • Cloud computing - 6 ECTS
    • Cloud computing: basic concepts and foundations.
    • Introduction to cloud technologies and services in Big Data analysis.
    • Infrastructure virtualization: Local vs Cloud infrastructure, Public vs Private Cloud, Hybrid clouds, Federated clouds.
    • Cloud services: Infrastructure as a Service (IaaS).
    • Containers: Containers vs virtual machines, Standardized containers, Docker Containers.
    • Development and application deployment for the cloud.
    • Deployment automation tools.
Module 2

  • Data Science and Artificial Intelligence - 6 ECTS
    • Data Science and Artificial Intelligence. Tools: Python, R, SAS, etc.
    • Machine Learning: Learning paradigms, ML projects.
    • Machine Learning: supervised learning algorithms.
    • Machine Learning: unsupervised learning algorithms.
    • Deep Learning through cases of use. 
  • Data visualization - 6 ECTS
    • Visualization: theoretical concepts and foundations.
    • Data visualization tools: Tableau, Power BI, and R.
    • Types of data visualization according to analysis needs.
    • Dynamic data visualization.
    • Filtering, recapping and summarizing information.
    • Structuring and characterizing distributions.
    • Visualization tools: selection of a dataset, publication, standard use of libraries.
    • Dashboard design using visualization tools.
    • Layouts and exporting the result of visualization to a PDF file, Bitmaps and SVG.
Module 3

  • Digital transformation and Data Governance - 6 ECTS
    • Digital transformation.
    • Current digital technologies.
    • Innovation
    • VUCA environments (volatile, uncertain, complex and ambiguous).
    • Agile methodologies.
    • Introduction to the concepts of Data‐Driven, Data Strategy and Data Governance.
    • Components of Data Governance: Tools.
    • Components of Data Governance: Roles, People and Processes.
    • The life cycle of information within Data Governance.
    • Information quality as part of Data Governance.
    • Information security and protection: Regulations (GDPR).
    • Culture of privacy and information security.
    • DataOps, a Data‐Driven model.
    • DAMA DMBOK framework and other leading frameworks on the market.
  • Introduction to Business Analytics & Data-Driven - 6 ECTS
    • Relationship between technical and business knowledge, stakeholders and challenges.
    • Specific examples of real companies.
    • Basic statistical calculations.
    • Dashboards.
    • Case studies.
    • Key performance indicators for company management (KPIs).
    • From challenge to solution. Approaching and understanding business problems and developing analytical solutions.
    • Business case study in Data & Analytics.
  • Residential Program - 6 ECTS

  • Choose the course that you want to take and which will expand your range of future professional prospects – 10 ECTS

  • Master’s Thesis – 15 ECTS


Your competitive edge

At EAE Business School Madrid, as a school committed to innovation and transformation, we have created an optional specialization program, in an online format, that you can take at the end of your Master.

This educational model gives you the opportunity to acquire new skills and an individualized qualification to set yourself apart in the labour market by enhancing your professional profile.

You will have the option to choose the Minor that best suits your needs.

3 Territories to conquer

1. Data as a common language

Learn to make impactful data-based decisions, communicate with data and interact with the different business areas through the efficient management of information.

2. Digital business-knowledge

Develop a holistic business vision to respond to the organization’s needs through an in-depth knowledge of the digital transformation happening all around us practically every second.

3. Leadership of data projects

Design, execute and lead transformation projects with knowledge based on Design Thinking, Agile and Change Management.


María Victoria Rivas

María Victoria Rivas

D. in Actuarial Sciences.

Javier Lorente

Javier Lorente

Leading Ediacara, a digital transformation consultancy.

Serge Chavez

Serge Chavez

Professor of Business, Actuarial Science and Data Mining.

Guillermo Bujalance

Guillermo Bujalance

MBA from the Universidad Politécnica de Madrid.

Andres Peñarrubia

Andres Peñarrubia

Director of Alliances at Elastic


Alberto Perdomo

Profesor de la EAE Business School. 

Professional prospects and entry profile

  • What you study here and now will have an impact on your career tomorrow. Start imagining your future and take a look at some of the professional prospects that await you.

    • Business Process Owner
    • Business Partner
    • Project Manager
    • Data Analytics Consultant
    • Business Analyst
    • Digital Transformation Leader
    • Digital Transformation Consultant
    • CDO
  • To access this Master, students must have a Bachelor Degree qualification or a Diploma in Architecture, Engineering, Technical Engineering or Technical Architecture, or a University Diploma prior to starting the studies.

    The Master is preferably designed for graduates with a Bachelor Degree, University Diploma in:

    • Economic and Business Sciences
    • Business Administration and Management
    • Economics
    • Mathematics
    • Engineering
    • Marketing
    • Trade


Employment report
Students received new job offers after completing their Master (2021)
Students received new job offers after completing their Master (2021)
of our students had a Triple Jump Career Change (they have changed area, sector and even country) (2021)
of our students had a Triple Jump Career Change (they have changed area, sector and even country) (2021)
EAE MADRID CENTRO EDUCACIÓN SUPERIOR, S.L.U., will process your personal information to contact you and to inform you about the program of your choice for the upcoming two terms. Afterwards, your data will be deleted.

You may exercise the rights of access, deletion, rectification, opposition, limitation and portability, by post to EAE MADRID CENTRO EDUCACIÓN SUPERIOR, S.L.U., Post office box 221 of Barcelona, or by email to [email protected]. Likewise, if the interested party considers it appropriate, they can lodge a claim to the Spanish Data Protection Agency.

Moreover, you can contact our Data Protection Manager by email to [email protected], or by post to Grupo Planeta, At.: Data Protection Manager, AVENIDA DIAGONAL, 662-664.